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https://api.github.com/repos/usnistgov/frvt/issues/141 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/141/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/141/comments | https://api.github.com/repos/usnistgov/frvt/issues/141/events | https://github.com/usnistgov/frvt/issues/141 | 2,432,289,049 | I_kwDOBIKFiM6Q-ckZ | 141 | Possibility to relax Ubuntu 20.04 minor version requirement | {
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I am wondering whether it is necessary to specifically check for Ubuntu version 20.04.3 LTS.
The currently supported version is Ubuntu 20.04.6 and contains lots of important security updates.
Since the minor version changes should not have a relevant impact on the included packages, I would advocate to allow all Ubuntu 20.04.x versions.
I will create a PR and hope that the PR can be accepted.
Kind regards | {
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eg:
`../common/images/face/videos/small.ppm` should be `../common/images/face/small.ppm` | {
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"We've updated the file with the correct path. Thank you."
] | 2024-07-02T13:40:03 | 2024-07-02T18:27:45 | 2024-07-02T18:27:45 | NONE | null | null | null | When running `./run_validate_ae.sh`, the execution fails with:
This can be fixed by moving the `video1` folder down by one directory, however, this should not be expected of the user. | {
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"During our timing test, we only run with a single process (and limit the number of CPUs to one). We run and time the template generation call over many iterations, then take the median of those timing values."
] | 2024-06-29T05:28:04 | 2024-07-01T11:22:00 | 2024-07-01T11:21:59 | NONE | null | null | null | The NIST document specifies that the median enrollment time must be under 1.5 seconds on a single core, tested on an Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz. In the run_testdriver.sh script, the num_forks argument is used to run validate11.cpp.
When I run the script on a single core using the command taskset --cpu-list 1 run_validate11.sh, the enrollment time for multiple processes (i.e., num_forks = 4) increases fourfold compared to a single process. However, there is no increase in time for multiple processes when I run the script without the taskset command.
How does NIST internally check the median enrollment time? Do they use the taskset command to limit the number of CPUs to one? | {
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"`git clone --depth 1` may lower the size of files",
"thank you for the approach. but for my trying, still have 7.7G. the images and video size is 5.7G, cannot avoid that huge .git folder. ",
"I think basically caused by 4.7G videos uploaded recently by this commit 7ca40ad12d548232e88aecb167934bac1e659f29."
] | 2024-06-13T21:39:27 | 2024-06-14T09:25:08 | null | NONE | null | null | null | now git clone the frvt repo would create 10G+ .git files (files in frvt repo not counting yet), while the scripts and source code files only a few KBs.
it is not a good idea to git clone the whole frvt repo while you are mixing the data files (no version control/history required) and source files in git. | {
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"If you are saying the string 856B9B28 does not match the string 5A18F9... then that is expected\r\n\r\nIf you are saying that something else doesn't match. then email us again.\r\n________________________________\r\nFrom: Vinayak Nayak ***@***.***>\r\nSent: Friday, May 24, 2024 3:23 AM\r\nTo: usnistgov/frvt ***@**... | 2024-05-24T07:22:58 | 2024-05-27T11:10:33 | 2024-05-27T11:10:33 | CONTRIBUTOR | null | null | null | Hi!
I am trying to encrypt my final submission file using the outlines [mentioned here](https://www.nist.gov/system/files/documents/2021/10/25/nist_encryption.pdf).
As mentioned in section 2.3, I try to import the NIST public key for FRTE [provided here](https://www.nist.gov/system/files/documents/2021/10/25/nist_encryption.pdf) in the second row.
However the key that I get is slightly different. The fingerprint obtained after importing the key is the same as the one mentioned in submission document but the key is different as can be seen below.
Is this acceptable for the submission or am I missing something when importing the key?
Thanks,
Vinayak.
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"Page 40 in which report (?). In our evaluations a failure to convert an image to a template will elevate 1:1 FNMR or 1:N FNIR if the template is used in a mated comparison. It will not cause increase 1:1 FMR or 1:N FPIR. The effect is the same as if the template had been produced but it always produces a low ... | 2024-05-13T15:34:28 | 2024-05-14T07:51:09 | null | NONE | null | null | null | Hi,
I have a question regarding the evaluation and reporting of failure-to-enroll and failure-to-extract. Your report on page 40 mentions that failure-to-extract (the inability to produce a template for search) is not reported. However, the table header in the results section reads "Failure to extract features." Could you clarify if this actually refers to failure-to-enroll, which is the inability to produce a template for enrollment? Additionally, are the same evaluation metrics used for both Face and Iris in IREX10, including the failures mentioned above? | {
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https://api.github.com/repos/usnistgov/frvt/issues/130 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/130/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/130/comments | https://api.github.com/repos/usnistgov/frvt/issues/130/events | https://github.com/usnistgov/frvt/issues/130 | 2,173,814,957 | I_kwDOBIKFiM6Bkcit | 130 | Linking external so libraries using CMAKE_INSTALL_RPATH. | {
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"This thread may be helpful to you - https://github.com/usnistgov/frvt/issues/128",
"I followed the thread but still unable to link the libfrvt_1N_null_000.so file with the dependencies as relative path. Following is the folder structure and the cmake file:\r\n[CMakeLists.txt](https://github.com/usnistgov/frvt/fi... | 2024-03-07T13:02:02 | 2024-03-15T06:27:33 | 2024-03-07T14:41:55 | NONE | null | null | null | I want to link the "libfrvt_1N_null_000.so" (present in "./lib" folder) with the opencv and onnxruntime libraries which are present in "./lib/opencv" and "./lib/onnxruntime" folder respectively. How can I link the main .so file with the opencv and onnx dependencies such that relative path is added using CMake. I tried using CMAKE_INSTALL_RPATH but I am still unable to link it as relative path.
Thankyou | {
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https://api.github.com/repos/usnistgov/frvt/issues/129 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/129/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/129/comments | https://api.github.com/repos/usnistgov/frvt/issues/129/events | https://github.com/usnistgov/frvt/issues/129 | 2,173,760,716 | I_kwDOBIKFiM6BkPTM | 129 | FRTE Latest Report Query | {
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"Hi @mlngan \r\n\r\nIf you can provide some clarification here, it would be really great!\r\n\r\nThanks,\r\nVinayak.",
"K > 1 is not exercised currently. It will be in the future.\r\n\r\n\r\nFrom: Vinayak Nayak ***@***.***>\r\nDate: Thursday, March 7, 2024 at 7:34 AM\r\nTo: usnistgov/frvt ***@***.***>\r\nCc: Sub... | 2024-03-07T12:32:59 | 2024-03-14T09:57:10 | 2024-03-14T09:57:10 | CONTRIBUTOR | null | null | null | In the [latest report here](https://pages.nist.gov/frvt/reports/11/frvt_11_report.pdf), under section 3.2, the test design principle for different types of comparison is provided.
In all the tracks (namely visa, mugshot, visa-border, visa-border non-frontal yaw, kiosk-border, border-border, wild, child-exploitation), the following two statements are present:
> The number of images used to make a template is one.
> The number of templates used to make each comparison score is two corresponding to simple one-to-one verification
In the [API document](https://pages.nist.gov/frvt/api/FRVT_ongoing_11_api.pdf) on line 82, we can see the following table
My question is then when will multiple images (i.e. K > 1) be sent to `createFaceTemplate` API for making an enrolment or verification template?
Thanks,
Vinayak. | {
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https://api.github.com/repos/usnistgov/frvt/issues/128 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/128/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/128/comments | https://api.github.com/repos/usnistgov/frvt/issues/128/events | https://github.com/usnistgov/frvt/issues/128 | 2,166,091,595 | I_kwDOBIKFiM6BG-9L | 128 | Can we build a library in the target environment? | {
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"Can you use a relative RPATH instead? You can also change your RPATH to '.' or whatever is relevant with `chrpath`",
"Hi @xsacha \r\n\r\nThanks for the prompt response.\r\n\r\nSo, here is how my lib is structured\r\n\r\n which is built on my source system, the submission package passes all the checks and gives meaningful results.
However when I try to run the `run_validate11.sh` file on a VM created using iso image [provided here on line 89](https://pages.nist.gov/frvt/api/FRVT_common.pdf), the linker gives a problem
as follows
```
/usr/bin/ld: warning: libopencv_dnn.so.408, needed by ../../../lib/libfrvt_11_company_000.so, not found (try using -rpath or -rpath-link)
```
Even after providing -rpath as follows before linking the target with the opencv libraries, the same issue prevails
```
# Create a variable for opencv package name
set(ocv_name opencv_48)
set(CMAKE_SHARED_LINKER_FLAGS "-Wl,-rpath,${CMAKE_CURRENT_SOURCE_DIR}/../../lib/${ocv_name}/lib/")
```
Can someone guide me how to overcome this issue? Can we build opencv in the target environment on the fly while initializing the environment? This would take a lot of time since compiling and building opencv is a really difficult task. However I was wondering if there is a simpler solution that can help me in this situation.
Would be grateful for any help, thanks a lot! | {
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https://api.github.com/repos/usnistgov/frvt/issues/127 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/127/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/127/comments | https://api.github.com/repos/usnistgov/frvt/issues/127/events | https://github.com/usnistgov/frvt/issues/127 | 2,162,918,560 | I_kwDOBIKFiM6A64Sg | 127 | free(): invalid pointer after trying to link torch library | {
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} | [] | open | false | null | [] | null | [] | 2024-03-01T08:54:15 | 2024-03-01T08:57:13 | null | NONE | null | null | null | I encounter the same issue as #49 . I simply add the following line in `frvt/11/src/nullImpl/CMakeLists.txt`:
```
target_link_libraries(frvt_11_null_001 ${TORCH_LIBRARIES})
```
Then, running `./scripts/build_null_impl.sh` and `./run_validate_11.sh` gives
```
Checking for hard-coded config directory free(): invalid pointer
PID 33486 exited due to signal 6
free(): invalid pointer
```
`./run_validate_11.sh` run successfully without that line.
How can I link libtorch correctly in the `CMakeLists.txt`? Thanks for your help! | {
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"Did you close the docker and re-open one?",
"there is no usage of docker here. It ran directly on host machine as recommended."
] | 2024-02-28T08:55:35 | 2024-03-25T08:42:22 | null | NONE | null | null | null | ## Reporting a Multithreading Issue in ONNX Runtime to NIST FRVT GitHub Repository
**Body:**
I am encountering an issue with ONNX Runtime that prevents my submission to the NIST FRVT 11 evaluation.
**Describe the problem:**
* I am using ONNX Runtime for inference in my submission package.
* I have attempted to restrict the number of threads used by ONNX Runtime to 1 using the provided GUID.
* However, when my submission package is executed, the NIST FRVT script detects 17 threads instead of the expected 2.
* This discrepancy becomes apparent when using the `top -H` command, which reveals 17 threads are created, with only 1 in a running state and the remaining 16 in a sleeping state.
* Due to this multithreading behavior, my package crashes when executed by NIST FRVT on multiple cores, violating their single-threaded requirement.
**Here is screen shot of htop of same package**
<img width="937" alt="Screenshot 2024-02-28 at 7 03 14 PM" src="https://github.com/usnistgov/frvt/assets/97581451/945394ba-3486-4a44-9b44-924692796293">
* Only one thread is running but why there are so many threads launched
**Possible impact:**
* This issue prevents my package from being successfully evaluated in the NIST FRVT 11 program.
* I kindly request the NIST FRVT developers to investigate this multithreading issue in ONNX Runtime and provide any potential solutions or workarounds.
* Additionally, I would appreciate guidance on overcoming this limitation and ensuring successful submission compliance with the single-threaded requirement.
**Additional information:**
* **Version of ONNX Runtime==1.10.0**
**Closing:**
Thank you for your time and consideration. I look forward to your response and assistance in resolving this issue. | {
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https://api.github.com/repos/usnistgov/frvt/issues/125 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/125/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/125/comments | https://api.github.com/repos/usnistgov/frvt/issues/125/events | https://github.com/usnistgov/frvt/issues/125 | 2,155,982,443 | I_kwDOBIKFiM6Aga5r | 125 | Error in compiling with libtorch | {
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"revise the content of `./src/nullImpl/CMakeLists.txt` solved the issue.\r\n```\r\nproject(nullImpl)\r\ncmake_minimum_required(VERSION 2.8)\r\n\r\nfind_package(Torch REQUIRED)\r\nset(CMAKE_CXX_FLAGS \"${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}\")\r\n\r\nadd_executable(nullImpl nullimplfrvt11.cpp)\r\ntarget_link_librarie... | 2024-02-27T08:33:21 | 2024-03-01T02:08:37 | 2024-03-01T02:08:37 | NONE | null | null | null | I download libtorch by `wget https://download.pytorch.org/libtorch/nightly/cpu/libtorch-win-shared-with-deps-latest.zip`.
I add the following code inside `nullimplfrvt11.cpp`.
```C++
#include <torch/script.h>
ReturnStatus
NullImplFRVT11::initialize(const std::string &configDir)
{
torch::jit::script::Module module;
try {
std::string path = configDir + "script_model.pt";
module = torch::jit::load(path);
}
catch (const c10::Error& e) {
std::cerr << "error loading the model" << e.msg() << "\n";
return ReturnStatus(ReturnCode::ConfigError);
}
std::cout << "ok\n";
return ReturnStatus(ReturnCode::Success);
}
```
Running `./script/build_null_impl.sh` was fine and generated `libfrvt_11_<>_001.so`.
But when I run `./run_validate_11.sh`, it has the following error:
```
/usr/bin/ld: /train/frvt/11/lib/libfrvt_11_VVTK_001.so: undefined reference to `c10::ListType::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::Type::SingletonOrSharedTypePtr<c10::Type>)'
/usr/bin/ld: /train/frvt/11/lib/libfrvt_11_VVTK_001.so: undefined reference to `torch::jit::load(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>, bool)'
/usr/bin/ld: /train/frvt/11/lib/libfrvt_11_VVTK_001.so: undefined reference to `c10::StringType::get()'
/usr/bin/ld: /train/frvt/11/lib/libfrvt_11_VVTK_001.so: undefined reference to `c10::AnyType::get()'
/usr/bin/ld: /train/frvt/11/lib/libfrvt_11_VVTK_001.so: undefined reference to `c10::UndefinedTensorImpl::_singleton'
```
I have followed [pytorch/pytorch#13541](https://github.com/pytorch/pytorch/issues/13541) and [pytorch/pytorch#17492](https://github.com/pytorch/pytorch/issues/17492). But still no luck. Any suggestions or something I've missed? Thanks for your help. | {
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"Yes, you may include supplemental .so libraries in the same ./lib folder where your core library is located."
] | 2024-02-20T02:51:39 | 2024-02-20T13:43:16 | 2024-02-20T13:43:16 | NONE | null | null | null | Hi I have used onnxruntime and opencv libraries in my face recognition implementation. NIST asks vendors to submit a single .so file (libfrvt_<track>_<provider>_<sequence>.so) (core implementation) as a part of tar package. The only library that will be explicitly linked to test driver is the core library. Currently I am working in docker environment that has opencv and onnxruntime dependencies and generating the .so file. However, I am unable to run the testdriver script outside the docker environment as no dependencies are there.
Can I provide supplemental .so libraries (containing the dependencies) along with the core .so file? If yes then how? | {
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https://api.github.com/repos/usnistgov/frvt/issues/123 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/123/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/123/comments | https://api.github.com/repos/usnistgov/frvt/issues/123/events | https://github.com/usnistgov/frvt/issues/123 | 2,138,299,151 | I_kwDOBIKFiM5_c9sP | 123 | Conversion of uint8_t to float for template | {
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"Many developers use floating point internally, but we use a generic byte stream to allow any type, including a constructed type. One solution is to use casting, for example.\r\n \r\n// Cast float to uint8_t during template creation\r\nconst uint8_t* bytes = reinterpret_cast<const uint8_t*>(fv.data());\r\n \r... | 2024-02-16T10:26:26 | 2024-02-21T13:07:41 | 2024-02-21T13:07:41 | NONE | null | null | null | Hi! I have a doubt regarding the conversion of unint8_t to float for the template vector. In the validate1N.cpp file templ(template) variable datatype is declared as vector<uint8_t>. The datatype of embeddings from the recognizer model is of data type float. How can I obtain a conversion of uint8 to float. Also, if I use reinterpret cast for conversion, the values I get are incorrect. Why havent NIST utilized data type of templ as float or double instead of uint8_t?
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https://api.github.com/repos/usnistgov/frvt/issues/120 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/120/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/120/comments | https://api.github.com/repos/usnistgov/frvt/issues/120/events | https://github.com/usnistgov/frvt/issues/120 | 2,009,033,903 | I_kwDOBIKFiM53v2yv | 120 | CMake version | {
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https://api.github.com/repos/usnistgov/frvt/issues/119 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/119/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/119/comments | https://api.github.com/repos/usnistgov/frvt/issues/119/events | https://github.com/usnistgov/frvt/issues/119 | 2,006,157,128 | I_kwDOBIKFiM53k4dI | 119 | Error when runnung the run_validate_11.sh. [ERROR] Match validation failed | {
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"[Update] Problem solved!\r\n\r\nBecause I was using virtual machine to run the FRVT validationand the error is due to the small number of system processor and not enough of space of the memory capacity.\r\n\r\nIf increace the number of system processor and memory capacity, the problem can be solved and successfull... | 2023-11-22T11:39:42 | 2023-11-24T05:56:04 | 2023-11-24T05:56:04 | NONE | null | null | null | Hi there,
I'm trying to pack up the submit code. I can run the null implementation and pack up the null testing code successfully.
But if I try to pack up my own submitted code, there will have some error like follows:
Could anyone figure out the problem?
```
[100%] Built target validate11
[SUCCESS] Built executable in /home/pj/frvt_2023_adaface_submit/11/bin.
------------------------------
Running 1:1 validation
------------------------------
Checking for hard-coded config directory [SUCCESS]
Creating Enrollment Templates (Single Process) [SUCCESS]
Creating Enrollment Templates on Multiple Images per Subject (Single Process) [SUCCESS]
Creating Enrollment Templates (Multiple Processes) PID 4474 exited due to signal 9
PID 4473 exited due to signal 9
[SUCCESS]
Creating Verification Templates (Multiple Processes) PID 4491 exited due to signal 9
PID 4493 exited due to signal 9
[SUCCESS]
Matching Templates (Multiple Processes) [ERROR] Failed to open stream for validation/templates/332.template.
[ERROR] Unable to retrieve template from file : validation/templates/332.template
[ERROR] Failed to open stream for validation/templates/657.template.
[ERROR] Unable to retrieve template from file : validation/templates/657.template
PID 4513 exited due to signal 15
[ERROR] Failed to open stream for validation/templates/985.template.
[ERROR] Unable to retrieve template from file : validation/templates/985.template
PID 4514 exited due to signal 15
PID 4515 exited due to signal 15
[ERROR] Match validation failed
```
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https://api.github.com/repos/usnistgov/frvt/issues/117 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/117/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/117/comments | https://api.github.com/repos/usnistgov/frvt/issues/117/events | https://github.com/usnistgov/frvt/issues/117 | 2,001,307,066 | I_kwDOBIKFiM53SYW6 | 117 | Segmentation fault when submit | {
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```
0x00007f7a02bd82c0` in void __gnu_cxx::new_allocator<float>::construct<float, float const&>(float*, float const&) () from techainer_001/config/../lib/libfrvt_11_techainer_001.so
(gdb) where
#0 0x00007f7a02bd82c0 in void __gnu_cxx::new_allocator<float>::construct<float, float const&>(float*, float const&) () from techainer_001/config/../lib/libfrvt_11_techainer_001.so
#1 0x00007f7a02bd530c in void std::allocator_traits<std::allocator<float> >::construct<float, float const&>(std::allocator<float>&, float*, float const&) () from techainer_001/config/../lib/libfrvt_11_techainer_001.so
#2 0x00007f7a02bd5432 in void std::vector<float, std::allocator<float> >::_M_realloc_insert<float const&>(__gnu_cxx::__normal_iterator<float*, std::vector<float, std::allocator<float> > >, float const&) () from techainer_001/config/../lib/libfrvt_11_techainer_001.so
#3 0x00007f7a02bd082a in float& std::vector<float, std::allocator<float> >::emplace_back<float const&>(float const&) () from techainer_001/config/../lib/libfrvt_11_techainer_001.so
#4 0x00007f7a02be02a1 in FRVT_11::TechainerImplFRVT11::createFaceTemplate(std::vector<FRVT::Image, std::allocator<FRVT::Image> > const&, FRVT::TemplateRole, std::vector<unsigned char, std::allocator<unsigned char> >&, std::vector<FRVT::EyePair, std::allocator<FRVT::EyePair> >&) () from techainer_001/config/../lib/libfrvt_11_techainer_001.so
#5 0x000055d95fe841d2 in FRVT_11::TemplateProcessor::processSingleTemplate(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::vector<FRVT::Image, std::allocator<FRVT::Image> > const&) ()
#6 0x000055d95fe87a5b in FRVT_11::TemplateProcessor::processLine(unsigned long, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) ()
#7 0x00007f7a03282038 in BiometricEvaluation::MPI::CSVProcessor::processWorkPackage(BiometricEvaluation::MPI::WorkPackage&) () from techainer_001/testdriver/libbiomeval.so.12
#8 0x00007f7a0327d30f in BiometricEvaluation::MPI::Receiver::PackageWorker::workerMain() () from techainer_001/testdriver/libbiomeval.so.12
#9 0x00007f7a03206b2f in BiometricEvaluation::Process::ForkWorkerController::start(bool) () from techainer_001/testdriver/libbiomeval.so.12
#10 0x00007f7a03206744 in BiometricEvaluation::Process::ForkManager::startWorker(std::shared_ptr<BiometricEvaluation::Process::WorkerController>, bool, bool) () from techainer_001/testdriver/libbiomeval.so.12
#11 0x00007f7a0327f2b1 in BiometricEvaluation::MPI::Receiver::startWorkers() () from techainer_001/testdriver/libbiomeval.so.12
#12 0x00007f7a0327f74a in BiometricEvaluation::MPI::Receiver::start() () from techainer_001/testdriver/libbiomeval.so.12
#13 0x00007f7a032739bb in BiometricEvaluation::MPI::Runtime::start(BiometricEvaluation::MPI::Distributor&, BiometricEvaluation::MPI::Receiver&) () from techainer_001/testdriver/libbiomeval.so.12
#14 0x000055d95fe79ecc in main ()
``` | {
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https://api.github.com/repos/usnistgov/frvt/issues/114 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/114/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/114/comments | https://api.github.com/repos/usnistgov/frvt/issues/114/events | https://github.com/usnistgov/frvt/issues/114 | 1,972,084,889 | I_kwDOBIKFiM51i6CZ | 114 | why is Finalization function's time limited 40000 sec ? | {
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"Time is limited because a developers might choose to do an expensive computation instead of a copy.\r\n\r\n\r\nFrom: shritor ***@***.***>\r\nDate: Wednesday, November 1, 2023 at 6:17 AM\r\nTo: usnistgov/frvt ***@***.***>\r\nCc: Subscribed ***@***.***>\r\nSubject: [usnistgov/frvt] why is Finalization function's tim... | 2023-11-01T10:17:18 | 2024-06-10T11:40:26 | null | NONE | null | null | null | enroll function in validate1N.cpp call createTemplate from list ppm in input file then write into edb file and manifest.
My createTemplate function, I created Feature Vector.
I used initializeIdentification func to read edb and manifest, init search algorithms when Search Initialization
I think finalization is used to re-write edb and manifest.
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https://api.github.com/repos/usnistgov/frvt/issues/113 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/113/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/113/comments | https://api.github.com/repos/usnistgov/frvt/issues/113/events | https://github.com/usnistgov/frvt/issues/113 | 1,956,324,514 | I_kwDOBIKFiM50mySi | 113 | [FRVT 1:1] Can I edit the header file? | {
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"You cannot modify any of the source code that we have published. Please consider the example provided in https://github.com/usnistgov/frvt/blob/master/11/src/nullImpl/nullimplfrvt11.cpp on how to convert between uint8_t and float.",
"Thanks for your answer, in file cpp, matching is random. Can I modify it.\r\n!... | 2023-10-23T04:22:10 | 2023-11-30T02:26:34 | 2023-10-23T16:01:31 | NONE | null | null | null | nullimplfrvt11.h
I fix it from uint8_t to float.
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https://api.github.com/repos/usnistgov/frvt/issues/112 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/112/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/112/comments | https://api.github.com/repos/usnistgov/frvt/issues/112/events | https://github.com/usnistgov/frvt/issues/112 | 1,948,921,040 | I_kwDOBIKFiM50KizQ | 112 | What is include in the 1:N finalization time limited? | {
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"Answer is B. Finalization takes N templates and produces a searchable data structure.\r\n\r\nFrom: LionLion888 ***@***.***>\r\nDate: Wednesday, October 18, 2023 at 2:13 AM\r\nTo: usnistgov/frvt ***@***.***>\r\nCc: Subscribed ***@***.***>\r\nSubject: [usnistgov/frvt] What is include in the 1:N finalization time li... | 2023-10-18T06:12:46 | 2023-10-19T13:28:08 | 2023-10-19T13:28:08 | NONE | null | null | null | Hi there,
In the FRVT 1:N time limits ([5.1. Time limits](https://pages.nist.gov/frvt/api/FRVT_IREX_ongoing_1N_api.pdf)), I'm wondering to know what is included in the **1:N finalization time limited** (mark with red box)?
<img src="https://github.com/usnistgov/frvt/assets/133086055/9875eba9-52a5-449e-97a1-2a8d797343dc" width="70%" >
In detail, which following is 1:N finalization time limited (mark with red box) represented?
A. Feature extraction execution time (mark with blue box) + Enrolled database execution time (mark with green box)
B. Only include enrolled database execution time (mark with green box)
<img src="https://github.com/usnistgov/frvt/assets/133086055/6932e77a-9136-4429-9bad-5faacad643c9" width="70%" >
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https://api.github.com/repos/usnistgov/frvt/issues/111 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/111/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/111/comments | https://api.github.com/repos/usnistgov/frvt/issues/111/events | https://github.com/usnistgov/frvt/issues/111 | 1,925,590,017 | I_kwDOBIKFiM5yxiwB | 111 | Time Limits clarification for creation of M Templates from a single image | {
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"All the images you are talking about have just a single face even if you detect thousands.\r\nYou get 1500ms per image (which is one face).",
"In `4.4.4` of the API document, we noticed the following\r\n\r\n\r\n\r\nSo... | 2023-10-04T07:37:45 | 2023-10-06T12:31:54 | 2023-10-05T17:11:34 | CONTRIBUTOR | null | null | null | Hi everyone!
In **Table 6** from [this document](https://pages.nist.gov/frvt/api/FRVT_ongoing_11_api.pdf), we can see that there is a single image and if there are M faces which our algorithm detects, then we will return M templates in the output of `createFaceTemplate` API call.
However as per **Table 1** from the same document, we can see that feature extraction should only take 1500 ms per image. And only if there are `K` images of a single person, the time limit would be scaled up by that factor.
Am I correct in understanding following scenarios?
- We detect 5 faces in an image. Do we get 1500 ms to perform feature extraction of all the five faces **OR** do we get 1500 $\times$ 5 = 7500 ms
- We are given 5 images and we detect 1 face in each image. Will we get 1500 $\times$ 5 = 7500 ms to do the feature extraction?
Thanks,
Vinayak. | {
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https://api.github.com/repos/usnistgov/frvt/issues/110 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/110/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/110/comments | https://api.github.com/repos/usnistgov/frvt/issues/110/events | https://github.com/usnistgov/frvt/issues/110 | 1,913,517,055 | I_kwDOBIKFiM5yDfP_ | 110 | Inaccurate Feature Length Calculation Due to This Err | {
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"Can you please provide more details/clarification on the error that you're encountering?",
"Hello, @mkwml do you know which line is causing the errors? I am facing the same issue currently as well."
] | 2023-09-26T13:28:19 | 2024-06-19T03:27:02 | null | NONE | null | null | null | https://github.com/usnistgov/frvt/blob/ec6188c89acffe71c68cdd41c7ffa2cb64a33a7e/1N/src/testdriver/validate1N.cpp#L62C5-L62C5
The current code contains an error that leads to inaccurate calculation of feature length, affecting the overall accuracy of the finall result. | {
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https://api.github.com/repos/usnistgov/frvt/issues/109 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/109/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/109/comments | https://api.github.com/repos/usnistgov/frvt/issues/109/events | https://github.com/usnistgov/frvt/issues/109 | 1,909,844,663 | I_kwDOBIKFiM5x1eq3 | 109 | Additional supporting library compilation on different hardware. | {
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My package has been built successfully and it needs additional libraries which i have put in lib/ directory.
I have doubt that do we need to compile additional library on the hardware mentioned by NIST like INTEL XEON since package and supporting library is compile on different x86 hardware but with same .iso image.
| {
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https://api.github.com/repos/usnistgov/frvt/issues/108 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/108/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/108/comments | https://api.github.com/repos/usnistgov/frvt/issues/108/events | https://github.com/usnistgov/frvt/issues/108 | 1,880,322,409 | I_kwDOBIKFiM5wE3Fp | 108 | run_validate_ae.sh throws warnings from the sanityCheck | {
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"It has been corrected, please update the file and thank you."
] | 2023-09-04T13:43:32 | 2023-09-05T01:41:01 | 2023-09-05T01:41:01 | NONE | null | null | null | During the validation process I'm getting the following warnings:
```
Sanity checking validation output
validation/estimateAge_1.log -
[WARNING] The following entries in .log generated non-successful return codes:
sed: can't read validation/.log: No such file or directory
[DONE]
validation/estimateAge_2.log - [DONE]
validation/verifyAge.log -
[WARNING] The following entries in .log generated non-successful return codes:
sed: can't read validation/.log: No such file or directory
[DONE]
```
It looks like `$action` variable is not defined here: https://github.com/usnistgov/frvt/blob/master/age-estimation/run_validate_ae.sh#L50 and the same issue is present here: https://github.com/usnistgov/frvt/blob/master/age-estimation/run_validate_ae.sh#L42 | {
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https://api.github.com/repos/usnistgov/frvt/issues/107 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/107/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/107/comments | https://api.github.com/repos/usnistgov/frvt/issues/107/events | https://github.com/usnistgov/frvt/issues/107 | 1,866,135,479 | I_kwDOBIKFiM5vOve3 | 107 | Does 1:1 Face test on images rotated to 90 or 180 degree? | {
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"We do not intend on testing with rotated images in our actual test. HOWEVER, these edge cases were put into the validation package to test that your algorithm does not crash in the event such unexpected cases are encountered.",
"@mlngan and what about 1:N? Does it have rotated (90, 180) images in validation dat... | 2023-08-25T01:58:32 | 2023-08-28T16:47:57 | 2023-08-25T12:21:05 | NONE | null | null | null | I saw 2 cases in common/faces folder, rotated_90.ppm and rotated_180.ppm.
Does it mean that there are some rotated image will be test in 1:1 protocol? | {
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```
21 ../common/images/face/S008-02-t10_01.ppm faceunknown ../common/images/face/S008-04-t10_01.ppm faceunknown ../common/images/face/S008-06-t10_01.ppm
```
It's not important... but take note
Thanks
| {
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"fixed the issue and file is updated, thank you."
] | 2023-08-23T08:35:50 | 2023-08-23T10:59:21 | 2023-08-23T10:59:21 | NONE | null | null | null | https://github.com/usnistgov/frvt/blob/b73285b59ab6b6b6b00a359ccd87bf06f7cba049/common/src/include/util.h#L122
https://github.com/usnistgov/frvt/blob/b73285b59ab6b6b6b00a359ccd87bf06f7cba049/common/src/include/util.h#L123
There are unexpected characters `<` in util.h leading fail.
<img width="1020" alt="截圖 2023-08-23 16 38 28" src="https://github.com/usnistgov/frvt/assets/66769915/690ed0f7-0630-4b73-bfd3-db14716e5e83"> | {
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"Updated the file, please try again. Thank you.",
"It still doesn't work. There are two \"<\" symbols in lines 122-123 that need to be removed.",
"file is fixed, try again thank you."
] | 2023-08-22T23:41:37 | 2023-08-23T11:01:23 | 2023-08-23T00:26:25 | NONE | null | null | null | The enums Action::EstimateAge and Action::VerifyAge in "common/src/util.cpp" are not defined in "common/src/include/util.h", and which causes a compile error.
Could you take care of the issue? | {
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"Per Section 4 of the [General Evaluation Specifications](https://pages.nist.gov/frvt/api/FRVT_common.pdf), each evaluation machine has at least 128 GB of memory. We anticipate that 16 processes can be run without time slicing, though NIST will handle all multiprocessing work via fork(). Hope this information help... | 2023-08-14T10:22:32 | 2023-08-14T11:57:59 | 2023-08-14T11:57:58 | NONE | null | null | null | I am working on FRVT 1:N, and my query is : is there any memory limit in 1:N Identification? | {
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https://api.github.com/repos/usnistgov/frvt/issues/102 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/102/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/102/comments | https://api.github.com/repos/usnistgov/frvt/issues/102/events | https://github.com/usnistgov/frvt/issues/102 | 1,841,017,579 | I_kwDOBIKFiM5tu7Lr | 102 | What kind of vector is in the template? 1:N | {
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"createTemplate produces feature data from one image. The function takes one image, so there is nothing to match against, so there is no recognition, no similarity score.\r\n\r\nFrom: LionLion888 ***@***.***>\r\nDate: Tuesday, August 8, 2023 at 6:18 AM\r\nTo: usnistgov/frvt ***@***.***>\r\nCc: Subscribed ***@***.... | 2023-08-08T10:18:33 | 2023-11-23T09:03:53 | 2023-11-23T09:03:53 | NONE | null | null | null | Hi there,
When **createTemplate(TemplateRole=Enrollment_1N)**, the implementation will return a template to the calling application.
I am wondering to know what kind of vector is in the template? Is it a **feature** from the face detection or it can be a **similarity score** produce by the face recognition as well.
<img src=https://imgur.com/PZXbC3i.png width=60% />
Besides, if the vector in the template can be a similarity score, does that mean the **Template Generation** will deal with face detection and face recognition, also the total of the face detection and face recognition execution time need to within 1.5 sec.
<img src=https://imgur.com/XIoYV78.png width=60% /> | {
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https://api.github.com/repos/usnistgov/frvt/issues/101 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/101/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/101/comments | https://api.github.com/repos/usnistgov/frvt/issues/101/events | https://github.com/usnistgov/frvt/issues/101 | 1,839,088,820 | I_kwDOBIKFiM5tnkS0 | 101 | How many images does search dataset have? 1:N | {
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"The search/probe could be any of the following\r\n1. one image of one person (Function A)\r\n2. multiple images of one person (Function A)\r\n3. one image with multiple people in it (Function B)\r\n\r\n**Function A:** \r\nFRVT::ReturnStatus\r\n createFaceTemplate(\r\n const std::vector<FRVT::Image> &face... | 2023-08-07T09:46:44 | 2023-08-08T11:05:34 | 2023-08-07T13:26:59 | NONE | null | null | null | Hi,
In the 1:N identify project, the enrollment dataset will get 1 million images as input data, if face detection failed, it shall still return a blank template and continue to go through the next enroll image.
For the search dataset, I'm wondering there would be how many images? In the following picture, the search photo seems to be only one image. (Wanted to make sure it wold be **one person with one image** or **one person with multi images**.)
| {
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https://api.github.com/repos/usnistgov/frvt/issues/100 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/100/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/100/comments | https://api.github.com/repos/usnistgov/frvt/issues/100/events | https://github.com/usnistgov/frvt/issues/100 | 1,809,758,807 | I_kwDOBIKFiM5r3rpX | 100 | Python Memory Leaks | {
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I write here for a solution to memory leaks I applied for frvt 1:1 submission but got a memory leak error I have also tested with Valgrind for memory leaks checking there are so many memory leaks detected like `invalid read of size 4` or maybe that is not the memory leak can any provide guidance about to check where exactly memory leaks occur or second approach would be to convert the model into c++ which should be better debugging memory leaks or converting python code into c++
by the way, I am using retinaface library for face detection and insightFace for feature extraction.
here is Valgrind output slice
`==140416== by 0x49F424B: Py_InitializeEx (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x1091ED: main (in /additional_drive/nist/frvt_onnx_sequential/11/test_mem)
==140416== Address 0x5387020 is 1,520 bytes inside a block of size 2,208 free'd
==140416== at 0x483CA3F: free (in /usr/lib/x86_64-linux-gnu/valgrind/vgpreload_memcheck-amd64-linux.so)
==140416== by 0x4ACD397: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4AC9E1F: PyDict_SetDefault (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4A62DFF: PyUnicode_InternInPlace (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4A62E90: PyUnicode_InternFromString (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4AFC4C1: PyDescr_NewMethod (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x48E34AA: PyType_Ready (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4AB8E04: _PyTypes_Init (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x49F3A6A: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x49F41A2: Py_InitializeFromConfig (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x49F424B: Py_InitializeEx (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x1091ED: main (in /additional_drive/nist/frvt_onnx_sequential/11/test_mem)
==140416== Block was alloc'd at
...
...
...
==140416== Block was alloc'd at
==140416== at 0x483B7F3: malloc (in /usr/lib/x86_64-linux-gnu/valgrind/vgpreload_memcheck-amd64-linux.so)
==140416== by 0x4AB69E7: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4B20CB7: PyGrammar_AddAccelerators (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4B23184: PyParser_New (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4B26DD2: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x49E79DA: PyParser_ASTFromStringObject (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x49E8387: PyRun_StringFlags (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4A2BADF: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4ABB546: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x48D0D6C: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x48D246C: _PyEval_EvalFrameDefault (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x48DC06A: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416==
==140416== ERROR SUMMARY: 898 errors from 107 contexts (suppressed: 0 from 0)` | {
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https://api.github.com/repos/usnistgov/frvt/issues/98 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/98/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/98/comments | https://api.github.com/repos/usnistgov/frvt/issues/98/events | https://github.com/usnistgov/frvt/issues/98 | 1,769,626,555 | I_kwDOBIKFiM5pelu7 | 98 | valgrind is detecting memory leaks in python code | {
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"@mlngan can you please help me to solve this issue"
] | 2023-06-22T12:58:57 | 2023-06-22T13:19:39 | null | NONE | null | null | null | Even i ran simple cpp file with valgrind having belllow code
```
#include "Python.h"
#include "iostream"
using namespace std;
int main(){
setenv("PYTHONPATH",".",1);
Py_Initialize();
cout <<"Hello\n";
Py_Finalize();
}
```
got bellow errors on valgring.
```
==140416== by 0x49F424B: Py_InitializeEx (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x1091ED: main (in /additional_drive/nist/frvt_onnx_sequential/11/test_mem)
==140416== Address 0x5387020 is 1,520 bytes inside a block of size 2,208 free'd
==140416== at 0x483CA3F: free (in /usr/lib/x86_64-linux-gnu/valgrind/vgpreload_memcheck-amd64-linux.so)
==140416== by 0x4ACD397: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4AC9E1F: PyDict_SetDefault (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4A62DFF: PyUnicode_InternInPlace (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4A62E90: PyUnicode_InternFromString (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4AFC4C1: PyDescr_NewMethod (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x48E34AA: PyType_Ready (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4AB8E04: _PyTypes_Init (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x49F3A6A: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x49F41A2: Py_InitializeFromConfig (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x49F424B: Py_InitializeEx (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x1091ED: main (in /additional_drive/nist/frvt_onnx_sequential/11/test_mem)
==140416== Block was alloc'd at
...
...
...
==140416== Block was alloc'd at
==140416== at 0x483B7F3: malloc (in /usr/lib/x86_64-linux-gnu/valgrind/vgpreload_memcheck-amd64-linux.so)
==140416== by 0x4AB69E7: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4B20CB7: PyGrammar_AddAccelerators (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4B23184: PyParser_New (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4B26DD2: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x49E79DA: PyParser_ASTFromStringObject (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x49E8387: PyRun_StringFlags (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4A2BADF: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x4ABB546: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x48D0D6C: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x48D246C: _PyEval_EvalFrameDefault (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416== by 0x48DC06A: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==140416==
==140416== ERROR SUMMARY: 898 errors from 107 contexts (suppressed: 0 from 0)
```
but without vargind there are no errors please suggest me do I need to resolve these errors as nist suggest and replied that I have to fix memory leakage issue
BTW I am applieng for NIST_11 challenge every thing is working fine but memory leakage is the problem and I have on google and found out that python by default does that and it own garbage collector frees memory and may that is why valgrind unable to detect that. | {
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https://api.github.com/repos/usnistgov/frvt/issues/97 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/97/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/97/comments | https://api.github.com/repos/usnistgov/frvt/issues/97/events | https://github.com/usnistgov/frvt/issues/97 | 1,718,812,500 | I_kwDOBIKFiM5mcv9U | 97 | Adding open source libraries for core library | {
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"You can try using rpath=$ORIGIN when you build your library, but you need to link your submission library against any 3rd party libraries that are required. For example, add the following to your CMakeLists.txt:\r\n\r\nset (CMAKE_SHARED_LINKER_FLAGS \"-Wl,-rpath,$ORIGIN\")\r\nadd_library (frvt_11_null_001 SHARED n... | 2023-05-22T03:10:40 | 2023-05-24T07:17:07 | 2023-05-22T12:59:44 | NONE | null | null | null | Hi @kayee-nist
We have few open source libraries which we would like to add to our core library. It seems NIST only accepts 1 core library in .so format which includes 4 folders config, doc, etc
Currently We add these lines to NIST demo code in this repo and it works.
```
include_directories($INCLUDE_DIR_LIB1, $INCLUDE_DIR_LIB2, $INCLUDE_DIR_LIB3, ...)
link_libraries(/usr/local/lib/liblib1.so, /usr/local/lib/liblib2.so, /usr/local/lib/liblib3.so, ... )
```
The strict requirement has been to **NOT** modify the CMake build system and to **NOT** modify any include files. Addidng dep packages is really hard with these constraints. Hence, we are asking if a better solution is possible.
But would like to know if there is a better way to submit our proposal than to hard code these library functions (fcn1 from lib1, fcn2 from lib2, fcn3 from lib3, etc) and deps as a single libImplfrvt1N.cpp file.
FRNinja123 | {
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https://api.github.com/repos/usnistgov/frvt/issues/96 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/96/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/96/comments | https://api.github.com/repos/usnistgov/frvt/issues/96/events | https://github.com/usnistgov/frvt/issues/96 | 1,698,387,170 | I_kwDOBIKFiM5lO1Ti | 96 | The twins project exist old type "Multiface" | {
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"The Multiface structure has been removed from the null implementation."
] | 2023-05-06T02:31:31 | 2023-05-08T11:42:49 | 2023-05-08T11:42:49 | NONE | null | null | null | In the twins project, the program compilation fails due to the old type "Multiface" in the API parameters, please help to solve this problem. | {
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https://api.github.com/repos/usnistgov/frvt/issues/95 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/95/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/95/comments | https://api.github.com/repos/usnistgov/frvt/issues/95/events | https://github.com/usnistgov/frvt/issues/95 | 1,692,123,572 | I_kwDOBIKFiM5k28G0 | 95 | Error about frvt11 test | {
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"Apologies for this - a fixed has been pushed."
] | 2023-05-02T09:56:15 | 2023-05-03T00:46:18 | 2023-05-02T12:01:22 | NONE | null | null | null | I prepared my environment and tried to test frvt11 ,and got this error.
```
_~/frvt0501/11/src/testdriver/validate11.cpp:96:29: error: ‘using element_type = class FRVT_11::Interface’ {aka ‘class FRVT_11::Interface’} has no member named ‘createTemplate’; did you mean ‘createFaceTemplate’?
96 | auto ret = implPtr->createTemplate(faces, role, templ, eyes);
| ^~~~~~~~~~~~~~
| createFaceTemplate
```
I found ```src/nullImpl//nullimplfrvt11.h``` function name changed to ```createFaceTemplate``` and ```createIrisTemplate```
how should I solve it ?
| {
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https://api.github.com/repos/usnistgov/frvt/issues/94 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/94/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/94/comments | https://api.github.com/repos/usnistgov/frvt/issues/94/events | https://github.com/usnistgov/frvt/issues/94 | 1,660,505,168 | I_kwDOBIKFiM5i-UxQ | 94 | Questions about the latest code structure changes for the FRVT | {
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I have a question about the latest master code:
Is the latest master branch code structure of FRVT project changed as follows?
yzx@7750:~/frvt-master-0410/1N$ tree .
.
└── src
└── include
└── frvt1N.h
2 directories, 1 file
yzx@7750:~/frvt-master-0410/1N$
**BTW:**
On February 15th the code structure looked like this:
yzx@7750:~/frvt-master-0215/1N$ tree .
.
├── CMakeLists.txt
├── input
│ ├── enroll_1N_multiface.txt
│ ├── enroll_1N_short.txt
│ ├── enroll_1N.txt
│ ├── insert.txt
│ ├── search_1N_multiperson.txt
│ └── search_1N.txt
├── README.md
├── run_validate_1N.sh
├── scripts
│ ├── build_null_impl.sh
│ ├── compile_and_link.sh
│ └── run_testdriver.sh
└── src
├── include
│ └── frvt1N.h
├── nullImpl
│ ├── CMakeLists.txt
│ ├── nullimplfrvt1N.cpp
│ └── nullimplfrvt1N.h
└── testdriver
├── CMakeLists.txt
└── validate1N.cpp
6 directories, 18 files
yzx@7750:~/frvt-master-0215/1N$
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https://api.github.com/repos/usnistgov/frvt/issues/93 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/93/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/93/comments | https://api.github.com/repos/usnistgov/frvt/issues/93/events | https://github.com/usnistgov/frvt/issues/93 | 1,643,062,129 | I_kwDOBIKFiM5h7yNx | 93 | There are two questions about whether the templateID will be duplicated in the input folder in the 1:N test | {
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"1. No. The enrollment template IDs will always be unique.\r\n2. No. Template IDs that get inserted will not coincide with what's already enrolled in the gallery. ",
"Thanks for your quick reply！"
] | 2023-03-28T01:35:47 | 2023-03-29T02:24:26 | 2023-03-28T12:55:37 | NONE | null | null | null | Hi,
We are preparing a NIST 1:N submission and are facing some issues:
1. Will the templateID of the enroll_1N_multiface.txt under the input folder be duplicated in the real test?
For example:
It currently looks like this:
1 .. /common/images/S001-01-t10_01.ppm UNKNOWN .. /common/images/S001-03-t10_01.ppm UNKNOWN .. /common/images/S001-05-t10_01.ppm UNKNOWN
21 .. /common/images/S008-02-t10_01.ppm UNKNOWN .. /common/images/S008-04-t10_01.ppm UNKNOWN .. /common/images/S008-06-t10_01.ppm
45 .. /common/images/S023-01-t10_01.ppm UNKNOWN .. /common/images/S023-03-t10_01.ppm UNKNOWN
Will this happen？:
1 .. /common/images/S001-01-t10_01.ppm UNKNOWN .. /common/images/S001-03-t10_01.ppm UNKNOWN .. /common/images/S001-05-t10_01.ppm UNKNOWN
21 .. /common/images/S008-02-t10_01.ppm UNKNOWN .. /common/images/S008-04-t10_01.ppm UNKNOWN .. /common/images/S008-06-t10_01.ppm
21 .. /common/images/S001-07-t10_01.ppm UNKNOWN .. /common/images/S001-08-t10_02.ppm UNKNOWN .. /common/images/S001-09-t10_01.ppm UNKNOWN
45 .. /common/images/S023-01-t10_01.ppm UNKNOWN .. /common/images/S023-03-t10_01.ppm UNKNOWN
2. Will the templateID in the insert.txt under the input folder coincide with the templateID in the enroll_1N.txt?
Thank you.
Looking forward to your reply. | {
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https://api.github.com/repos/usnistgov/frvt/issues/92 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/92/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/92/comments | https://api.github.com/repos/usnistgov/frvt/issues/92/events | https://github.com/usnistgov/frvt/issues/92 | 1,598,805,216 | I_kwDOBIKFiM5fS9Tg | 92 | run_validate_11.sh script gets stuck on first test case | {
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"Same thing, but for run_validate_1N script. Any update here?",
"@RomanShnurov No updates, i haven't been able to resolve or find what is the issue.",
"@mlngan can you please help us out.",
"Can you please try and run the provided null implementation and let us know if you encounter the same issue?",
"@mlng... | 2023-02-24T15:06:00 | 2023-03-05T13:40:13 | null | NONE | null | null | null | I am prepared my shared lib and now i am running `run_validate_11.sh` but the `validate11` does not return even after it has run on all the images.
```
Checking installation of required packages [SUCCESS]
Looking for core implementation library in /home/i2v/Downloads/NIST/frvt/11/lib.[SUCCESS] Found core implementation library /home/i2v/Downloads/NIST/frvt/11/lib/libfrvt_11_i2v_001.so.
Attempting to compile and link /home/i2v/Downloads/NIST/frvt/11/lib/libfrvt_11_i2v_001.so against test harness.
Scanning dependencies of target validate11
[ 33%] Building CXX object src/testdriver/CMakeFiles/validate11.dir/home/i2v/Downloads/NIST/frvt/common/src/util/util.cpp.o
[ 66%] Building CXX object src/testdriver/CMakeFiles/validate11.dir/validate11.cpp.o
[100%] Linking CXX executable ../../../bin/validate11
[100%] Built target validate11
[SUCCESS] Built executable in /home/i2v/Downloads/NIST/frvt/11/bin.
------------------------------
Running 1:1 validation
------------------------------
Checking for hard-coded config directory
Exiting with status 0
```
How do i know `validate11` does not return control to `run_testdriver.sh` script: I put a `std::cout` in `validate11.cpp` just before return and changed the `switch` code to:
```
std::cout << "Exiting with status " << exitStatus << std::endl;
return exitStatus;
```
```
for (auto &inputFile : inputFileVector) {
/* Fork */
switch(fork()) {
case 0: /* Child */
if (action == Action::CreateTemplate)
{ exitStatus = createTemplate(
implPtr,
inputFile,
outputDir + "/" + outputFileStem + ".log." + to_string(i),
templatesDir,
role);
}
else if (action == Action::CreateMultiTemplates)
{ exitStatus = createMultiTemplates(
implPtr,
inputFile,
outputDir + "/" + outputFileStem + ".log." + to_string(i),
templatesDir,
role);
}
else if (action == Action::Match)
{ exitStatus = match(
implPtr,
inputFile,
templatesDir,
outputDir + "/" + outputFileStem + ".log." + to_string(i));
}
break;
case -1: /* Error */
cerr << "Problem forking" << endl;
break;
```
I can see the `Exiting with status 0` printed but can't see the echo that i did in `run_testdriver.sh` script below the `retEnroll=$?`
echo i put in script: `echo "retEnroll: $retEnroll"`
But if i open `htop` and kill the process i prints `[SUCCESS]` and proceeds further, but the same issue occurs in next steps, **what is this issue and how do i resolve it.**
I have run this on my development machine , and also on a virtual machine that i created using the image provided by NIST:
My Machine:
Virtual machine:
The issue occurs on both machines.
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https://api.github.com/repos/usnistgov/frvt/issues/91 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/91/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/91/comments | https://api.github.com/repos/usnistgov/frvt/issues/91/events | https://github.com/usnistgov/frvt/issues/91 | 1,574,584,461 | I_kwDOBIKFiM5d2kCN | 91 | Pad track: evasion | {
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"Per the API and evaluation plan, it is not required to implement both PAD functions. For the function that you choose not to implement, please return ReturnCode::NotImplemented.",
"Thanks for the quick reply. In that case, I believe that the algorithm is not even considered for the other evaluation type, right?... | 2023-02-07T15:56:14 | 2023-02-07T16:11:03 | 2023-02-07T16:02:28 | NONE | null | null | null | Dear @mlngan
I am writing to ask if there is mandatory to implement evasion for the new pad challenge. If case it is optional, should we return not implemented error status to not be considered for that track?
Best,
/m | {
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"Here is more detail I found in Valgrind output file \r\nInvalid read of size 8\r\n==1662818== at 0x4EB1C5E: PyObject_GetAttrString (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)\r\n==1662818== by 0x484D998: FRVT_PAD::FaceImplFRVTPad::detectEvasionPA(FRVT_PAD::Media const&, bool&, double&, std::vector<std... | 2023-01-24T13:24:28 | 2023-02-14T04:15:08 | 2023-02-14T04:15:08 | NONE | null | null | null | After testing it on the local machine with the same environment, I submitted my package to NIST which was specifically for PAD validation but on their side, I received the error using vallgrind
detectImpersonationPA - checking for hard-coded config directory chmod: changing permissions of 'config': Permission denied
chmod: changing permissions of 'otherConfig': Permission denied
==1662817== Memcheck, a memory error detector
==1662817== Copyright (C) 2002-2017, and GNU GPL'd, by Julian Seward et al.
==1662817== Using Valgrind-3.15.0-608cb11914-20190413 and LibVEX; rerun with -h for copyright info
==1662817== Command: bin/validate_pad detectImpersonationPA -c otherconfig -o validation -h detectImpersonationPA -i input/short_pad.txt -t 1
.
.
.
.
==1662817== Invalid read of size 4
==1662817== at 0x4EA4A21: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==1662817== by 0x4EC4367: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==1662817== by 0x4EC59A8: PyDict_SetItem (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==1662817== by 0x4CD9CFE: PyType_Ready (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==1662817== by 0x4EAFDE4: _PyTypes_Init (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==1662817== by 0x4DEAAEA: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==1662817== by 0x4DEB222: Py_InitializeFromConfig (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==1662817== by 0x4DEB2CB: Py_InitializeEx (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==1662817== by 0x484D6E0: FRVT_PAD::FacedirectImplFRVTPad::initialize(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) (in facedirect_001/2023_01_17/lib/libfrvt_pad_facedirect_001.so)
.
.
.
==1662817== by 0x4CC946C: _PyEval_EvalFrameDefault (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==1662817== by 0x4CD306A: ??? (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)
==1662817==
==1662817== ERROR SUMMARY: 1122 errors from 108 contexts (suppressed: 0 from 0)
chmod: changing permissions of 'otherConfig': Permission denied
[ERROR] Detection of hard-coded config directory in your software. Please fix!
as far as I understand the issue is with permission related I have file on my system using root user but I did not receive this kind of error I think you are using valgrind then which kind flags are using. or if some one know exact issue with this kindly help me
thanks in advance
| {
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https://api.github.com/repos/usnistgov/frvt/issues/89 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/89/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/89/comments | https://api.github.com/repos/usnistgov/frvt/issues/89/events | https://github.com/usnistgov/frvt/issues/89 | 1,518,193,089 | I_kwDOBIKFiM5afcnB | 89 | run_validation_11 not found | {
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"Humm? I'm not from the NIST but on the master branch you have the file you're looking for : https://github.com/usnistgov/frvt/blob/master/11/run_validate_11.sh\r\nBest regards",
"There was a typo in the README.md file. We've fixed the name of the script."
] | 2023-01-04T02:21:27 | 2023-01-09T12:43:34 | 2023-01-09T12:43:33 | NONE | null | null | null | Hi
I don't see any file with name run_validation_11.sh like README.md in 11.
Please review that.
Thanks, | {
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https://api.github.com/repos/usnistgov/frvt/issues/88 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/88/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/88/comments | https://api.github.com/repos/usnistgov/frvt/issues/88/events | https://github.com/usnistgov/frvt/issues/88 | 1,469,509,349 | I_kwDOBIKFiM5Xlu7l | 88 | Errors when running install_packages.sh | {
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"Thanks for bringing this to our attention. We will plan to include the actual packages themselves along with an updated install script to address this issue (hopefully in the next week or so).",
"[ubuntu iso copy provided at this repo is being used.](https://nigos.nist.gov/evaluations/ubuntu-20.04.3-live-server... | 2022-11-30T11:52:27 | 2023-02-14T18:05:37 | null | NONE | null | null | null | Hi,
we are preparing a NIST submission and are facing some issues with the setup of our build & validation environments. In order to make sure we are including all required files in `/lib` for dynamic linking we
- building our library and exporting the output folders (eg: `lib`, `config` and `doc`) in a `development` image
- copying these output folders only into a `validation` image and running the validation scripts there
This validation image is just a raw `focal` image where we have run
- apt update
- apt -y install sudo lsb-release
And then we run the `install_packages.sh` script. Problem is the script fails to install many of the packages seemingly due to missing versions on the package repo. For instance **_libavcodec-dev_** install fails with
`E: Version '7:4.2.4-1ubuntu0.1' for 'libavcodec-dev' was not found`
If we edit the **_install_packages.sh_** script removing the pinned versions then everything seems to work correctly, though we would no longer be sure to be running in the exact same environment as the NIST benchmark.
Is it possible that the **_install_packages.sh_** is pointing to versions no longer available on the public repo and thus needs to be updated, or am I missing something?
Thanks in advance,
Filipe Morais | {
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https://api.github.com/repos/usnistgov/frvt/issues/87 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/87/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/87/comments | https://api.github.com/repos/usnistgov/frvt/issues/87/events | https://github.com/usnistgov/frvt/issues/87 | 1,459,333,589 | I_kwDOBIKFiM5W-6nV | 87 | Thread warning when using OpenVINO backend | {
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"By default it will attempt to use threads so you need to tell it not to.",
"> By default it will attempt to use threads so you need to tell it not to.\r\n\r\nThanks. I will search through the OpenVINO docs to see how to tell it not use threads.\r\n\r\nWere you able to set the max number of threads for one infere... | 2022-11-22T07:56:19 | 2022-11-23T07:31:07 | 2022-11-23T07:31:07 | NONE | null | null | null | My implementation is single threaded, but it will be using OpenVINO as the inference backend, which is threaded. Upon running the validation script, I received the following warning:
```
[WARNING] We've detected that your software may be threading or using other multiprocessing techniques. The number of
processes detected was 22 and it should be 2. Per the API document, implementations must run single-threaded. In the test
environment, there is no advantage to threading, because NIST will distribute workload across multiple blades and multiple
processes. We highly recommend that you fix this issue prior to submission.
```
I saw someone mentioning in the past Issues that all the main frameworks such as tensorflow, pytorch and mxnet have been known to work in NIST.
Do you also know from past submissions if OpenVINO had any issues with NIST? | {
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https://api.github.com/repos/usnistgov/frvt/issues/86 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/86/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/86/comments | https://api.github.com/repos/usnistgov/frvt/issues/86/events | https://github.com/usnistgov/frvt/issues/86 | 1,459,317,734 | I_kwDOBIKFiM5W-2vm | 86 | NIST FRVT version number symbols | {
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"There's nothing you have to do explicitly. Those version number symbols are defined in ./pad/src/testdriver/CMakeLists.txt\r\n\r\nset (CMAKE_CXX_FLAGS \"${CMAKE_CXX_FLAGS} -Wall -std=c++17 -DNIST_EXTERN_FRVT_STRUCTS_VERSION -DNIST_EXTERN_API_VERSION\")"
] | 2022-11-22T07:44:54 | 2022-11-28T13:04:19 | 2022-11-28T13:04:18 | NONE | null | null | null | According to `frvt_structs.h` I must define NIST FRVT version number symbols in the core library.
https://github.com/usnistgov/frvt/blob/7c2e52155467f0858cb30c9c688cb47e56142366/common/src/include/frvt_structs.h#L502-L519
What should the values be?
I am basing my implementation on the [nullimplfrvtpad.cpp](https://github.com/usnistgov/frvt/blob/master/pad/src/nullImpl/nullimplfrvtpad.cpp), but I don't see it defined in the source code. | {
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https://api.github.com/repos/usnistgov/frvt/issues/85 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/85/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/85/comments | https://api.github.com/repos/usnistgov/frvt/issues/85/events | https://github.com/usnistgov/frvt/issues/85 | 1,449,359,484 | I_kwDOBIKFiM5WY3h8 | 85 | Pose Orientation at Test Time FRVT 1-1 | {
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"Some of our unconstrained, non-cooperative datasets can contain images with large pose variations."
] | 2022-11-15T08:16:02 | 2022-11-16T12:40:20 | 2022-11-16T12:40:19 | NONE | null | null | null | In validation package, some images are orientated 90 degrees from the front, as such sometimes we are comparing frontal faces against side faces OR side faces against side faces.
May I know would similar facial orientation (frontal against side OR side against side) be used during testing and evaluation by NIST? | {
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https://api.github.com/repos/usnistgov/frvt/issues/84 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/84/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/84/comments | https://api.github.com/repos/usnistgov/frvt/issues/84/events | https://github.com/usnistgov/frvt/issues/84 | 1,445,977,476 | I_kwDOBIKFiM5WL92E | 84 | Template Creation Failed Situation and Its Evaluation | {
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I wonder what is the evaluation criteria if I encounter with template creation failed situation. More precisely, suppose I couldn't create a template for a specific image, then filled its vector to handle it in my matcher. And, for example, I return 0 (zero) similarity score for that template in my matcher. Then in the evaluation stage, will Nist evaluate that template for FNMR / FMR calculations? I mean, will Nist take "that failed template-based image" into consideration in the evaluation stage or not? I'm asking this question because if that template will be taken into consideration, I shouldn't give a negative score in my matcher stage. | {
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https://api.github.com/repos/usnistgov/frvt/issues/83 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/83/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/83/comments | https://api.github.com/repos/usnistgov/frvt/issues/83/events | https://github.com/usnistgov/frvt/issues/83 | 1,435,803,990 | I_kwDOBIKFiM5VlKFW | 83 | Query on Final Submission - FRVT11 | {
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"You just need your python libs. There is no need to include source files (includes).\r\nI recommend spin up another clean VM, extract your package there and attempt to run it. If it works, you're all sweet.",
"Pardon me, but may I also ask what files are required in the ./config folder? I did not require any fil... | 2022-11-04T09:43:10 | 2022-12-05T03:26:49 | 2022-11-15T09:32:11 | NONE | null | null | null | I have successfully generated the tar.gz file for submission, and manual analysis of the validation package shows above 90% F1, so I guess I am all ready for submission for FRVT11 :)
My approach to FRVT11 is to embed my python codes and model in C++, hence in my my CMakeList in ./src/nullImpl directory, I have called:
```
find_package(PythonLibs REQUIRED)
target_link_libraries (frvt_11_COMPANY_000 ${PYTHON_LIBRARIES})
```
plus my include directories and so on. In addition, I have to put my tensorflow model file in ./frvt/11 main directory in order to run run_validate_11.sh
My question is this: Can I put all these python packages, include directories and python model files in the ./frvt/11/lib folder?
For instance in the lib folder, I have:
- libfrvt_11_COMPANY_000.so (file)
- python3.8_include (directory)
- python3.8_libraries (directory)
- tensorflow_model (directory)
Appreciate the assistance, and thanks in advance!
| {
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"This is heavily implementation dependent.\r\nIn the validation package, some of the pairs are incorrect (you can tell because the IDs are different). A match is expected when the ID is the same.\r\n\r\nHere's an example output with 'distance' (opposite of similarity) vs expected match for a solution that gets 100%... | 2022-11-02T10:17:10 | 2022-11-04T02:09:51 | 2022-11-04T02:09:51 | NONE | null | null | null | Hello, I have successfully ran the validation, and it seems that vast majority of matching has very high similarity scores, except for only 1. May I know if that is the norm for the validation package? Are these comparisons suppose to be matches? What should be the distribution of matches in the validation?
Thank you! | {
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https://api.github.com/repos/usnistgov/frvt/issues/81 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/81/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/81/comments | https://api.github.com/repos/usnistgov/frvt/issues/81/events | https://github.com/usnistgov/frvt/issues/81 | 1,432,534,459 | I_kwDOBIKFiM5VYr27 | 81 | how to pass an array of array from python to C++ (multiple faces in an image) | {
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"If you dereference the pointer and there's nothing there, it'll crash. That appears to be the case.\r\nFor example, if c_out[0] is nullptr (0), what do you expect?\r\nI see you print something else and then continue to the crash.\r\n\r\nI'm not sure what the Py* functions are doing but it appears like you have a f... | 2022-11-02T05:43:51 | 2022-11-02T06:47:29 | 2022-11-02T06:47:29 | NONE | null | null | null | I am doing template generation for multiple faces in image:
I am returning an array of array (array of templates) from python to c++. Here is a snippet of my codes:
```
npy_intp dims[3] = {height,width,channel};
np_arg = reinterpret_cast<PyArrayObject*>(PyArray_SimpleNewFromData(3,dims,NPY_UINT8,image.data.get()));
pArgs = PyTuple_New(1);
PyTuple_SetItem(pArgs, 0, reinterpret_cast<PyObject*>(np_arg));
pValue = PyObject_CallObject(pFunc, pArgs);
if (pValue==nullptr){
PyErr_Print();
}
np_ret = reinterpret_cast<PyArrayObject*>(pValue);
c_out = reinterpret_cast<float**>(PyArray_DATA(np_ret));
std::cout << c_out[0][0] << std::endl;
```
During runtime, i encounter segmentation error at std::cout << c_out[0][0] << std::endl; (PID 8132 exited due to signal 11)
std::cout << c_out[0] << std::endl; runs fine though.
What did I do wrong? | {
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https://api.github.com/repos/usnistgov/frvt/issues/80 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/80/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/80/comments | https://api.github.com/repos/usnistgov/frvt/issues/80/events | https://github.com/usnistgov/frvt/issues/80 | 1,431,482,264 | I_kwDOBIKFiM5VUq-Y | 80 | Can you provide minimal docker image? | {
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"The base image seems to be the same you get from the official ubuntu repo for 20.04.3, so I think it should be okay to use a corresponding base dockerfile such as `ubuntu:focal-20220113`. Still would be preferable to have an official response from NIST for sure 🤞",
"Per the our published documentation, the oper... | 2022-11-01T14:01:33 | 2024-05-15T08:00:24 | 2022-11-21T18:26:06 | NONE | null | null | null | Hi, it will be great if you can provide minimal docker image for running validation scripts. Thanks. | {
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https://api.github.com/repos/usnistgov/frvt/issues/79 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/79/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/79/comments | https://api.github.com/repos/usnistgov/frvt/issues/79/events | https://github.com/usnistgov/frvt/issues/79 | 1,430,853,900 | I_kwDOBIKFiM5VSRkM | 79 | Necessary to output eye coordinates? | {
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"Yes, you don't have to populate the eye coordinates.",
"May I also ask: I understand that during test, images contain one and only one face. But in the codes (for multiple faces in an image) in a given in nullImplfrvt11.cpp:\r\n\r\n```\r\nNullImplFRVT11::createTemplate(\r\n const FRVT::Image &image,\r\n FR... | 2022-11-01T04:31:20 | 2022-11-02T13:09:34 | 2022-11-01T11:02:16 | NONE | null | null | null | I am working on FRVT 1:1, and my query is : is it necessary to output eye coordinates? I mean the goal is to compare templates between template for enrollment and verification.
Can I leave the eye coordinates as zero?
| {
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https://api.github.com/repos/usnistgov/frvt/issues/78 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/78/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/78/comments | https://api.github.com/repos/usnistgov/frvt/issues/78/events | https://github.com/usnistgov/frvt/issues/78 | 1,429,486,673 | I_kwDOBIKFiM5VNDxR | 78 | Query on time limit during testing for 1-1 | {
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"It is 1.5 second per feature generation (detection + recognition) on a single core of the CPUs specified in the API document.\r\n\r\nIn your Python example, it is running multi-threaded and looks like you are only doing face recognition on a 112x112 image, which is a far easier task."
] | 2022-10-31T08:53:44 | 2022-11-01T04:29:18 | 2022-11-01T04:29:18 | NONE | null | null | null | I am embedding my Python codes in C++.
My concern is regarding the time taken for each image inference, because I understand the time limit for image enrollment is 1500ms. Using this code above i take about 2.5seconds to 3 seconds (on Virtual Machine CPU) to iterate between each std::cout during runtime, as shown:
However, during testing with Python on my CPU work station, each template generation only takes about 190ms, as shown:
My question is how are the codes being tested for timings, and would my codes potentially exceed the time limit? Appreciate the help!
| {
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https://api.github.com/repos/usnistgov/frvt/issues/77 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/77/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/77/comments | https://api.github.com/repos/usnistgov/frvt/issues/77/events | https://github.com/usnistgov/frvt/issues/77 | 1,417,694,705 | I_kwDOBIKFiM5UgE3x | 77 | [Error] Enrollment validation (multi person in image) failed - when no face detected | {
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"Per the [FRVT 1:1 API](https://pages.nist.gov/frvt/api/FRVT_ongoing_11_api.pdf), if the implementation is unable to extract features, the output shall still contain a single template that may be passed to the matchTemplates() function without error. That is, this routine must internally encode \"template creation ... | 2022-10-21T04:10:02 | 2022-10-21T13:20:20 | 2022-10-21T13:20:20 | NONE | null | null | null | on function createMultiTemplates() in validate11.cpp, i found that it requires "the output template vector must contain at least one template"; but in some situations, model face-detector cannot detect anything for example, we don't return any templates and that cause this error.
So can anyone help me what i should return at this case or any solution to solve this problem? | {
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https://api.github.com/repos/usnistgov/frvt/issues/76 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/76/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/76/comments | https://api.github.com/repos/usnistgov/frvt/issues/76/events | https://github.com/usnistgov/frvt/issues/76 | 1,400,072,817 | I_kwDOBIKFiM5Tc2px | 76 | Error Detection of hard-coded config directory when run ./run_validate_11.sh | {
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"Your program threw a Segmentation Fault error (signal 11). The `run_validate_11.sh` script just checks whether the programs return a successful exit code 0.",
"thanks",
"@jatsi did you solve it?"
] | 2022-10-06T17:42:28 | 2023-09-20T19:15:27 | 2022-10-11T02:15:13 | NONE | null | null | null | Running ./run_validate_11.sh shows me the following error:
**Checking installation of required packages [SUCCESS]
Looking for core implementation library in /home/daksha/Documentos/frvt/11/lib.[SUCCESS] Found core implementation library /home/daksha/Documentos/frvt/11/lib/libfrvt_11_facedaksha_000.so.
Attempting to compile and link /home/daksha/Documentos/frvt/11/lib/libfrvt_11_facedaksha_000.so against test harness.
Scanning dependencies of target validate11
[ 33%] Building CXX object src/testdriver/CMakeFiles/validate11.dir/home/daksha/Documentos/frvt/common/src/util/util.cpp.o
[ 66%] Building CXX object src/testdriver/CMakeFiles/validate11.dir/validate11.cpp.o
[100%] Linking CXX executable ../../../bin/validate11
[100%] Built target validate11
[SUCCESS] Built executable in /home/daksha/Documentos/frvt/11/bin.
------------------------------
Running 1:1 validation
------------------------------**
Checking for hard-coded config directory PID 52211 exited due to signal 11
[ERROR] Detection of hard-coded config directory in your software. Please fix!
I do not hard-coded config in source code, create config folder for my models. | {
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https://api.github.com/repos/usnistgov/frvt/issues/75 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/75/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/75/comments | https://api.github.com/repos/usnistgov/frvt/issues/75/events | https://github.com/usnistgov/frvt/issues/75 | 1,341,178,773 | I_kwDOBIKFiM5P8MOV | 75 | thread count and mxnet forks | {
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} | [] | open | false | null | [] | null | [] | 2022-08-17T05:15:42 | 2022-08-18T05:59:24 | null | NONE | null | null | null | We are using mxnet for our algorithm, we are able to reduce the number of threads to 5 with only 1 running thread, however to remove display messages we have built the library from source by commenting the logs where we are facing issues with non returning forks. The code executes for the images involved in one phase for example enrolment and then it waits for the process to return.
Can anyone help me to resolve it?
| {
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https://api.github.com/repos/usnistgov/frvt/issues/74 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/74/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/74/comments | https://api.github.com/repos/usnistgov/frvt/issues/74/events | https://github.com/usnistgov/frvt/issues/74 | 1,189,975,620 | I_kwDOBIKFiM5G7ZZE | 74 | Query regarding the Report on demographic groups | {
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} | [] | open | false | null | [] | null | [] | 2022-04-01T15:41:04 | 2022-04-01T15:41:04 | null | NONE | null | null | null | Hello
We have a few queries regarding the upcoming "Report on how error rate variations across demographic groups."
1. Will this report be based only on the algorithms submitted to FRVT 1:1 leaderboard, or will this report also contain an analysis of algorithms submitted to the FRVT 1:N leaderboard?
2. Will the new algorithms submitted to FRVT 1:1 and FRVT 1:N leaderboards next week also be a part of this demographics report?
3. What will be the frequency of this report? Will this be released monthly like the FRVT 1:1 and FRVT 1:N reports?
Thank you! | {
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https://api.github.com/repos/usnistgov/frvt/issues/73 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/73/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/73/comments | https://api.github.com/repos/usnistgov/frvt/issues/73/events | https://github.com/usnistgov/frvt/issues/73 | 1,188,016,117 | I_kwDOBIKFiM5Gz6_1 | 73 | Query on the updated protocol that supports the existence of multiple faces detected in an image | {
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"In the updated protocol that supports multiple faces detected in an image, we take the maximum similarity score across all template comparisons between each enrollment and verification image pair. The high ranks (poor FNMR) are due to higher FMR under the max(score) policy. The upside to this approach is of redu... | 2022-03-31T12:37:04 | 2022-03-31T13:04:42 | 2022-03-31T13:04:41 | NONE | null | null | null | Hello
In the recently released [FRVT 1:1 leaderboard](https://pages.nist.gov/frvt/html/frvt11.html) along with benchmark numbers (in blue) with the updated protocol that supports the existence of multiple faces detected in an image, the ranks and the FNMR numbers (in blue) on the `BORDER Photos` and `KIOSK Photos` benchmark sets are extremely large compared to other benchmarks where this updated protocol isn't used even for the algorithms which are very well ranked on the other benchmark sets.
Could you kindly give us more clarity on how these FNMR values reported in blue on the leaderboard should be read?
And are these high FNMR rates in blue with updated protocol due to inaccuracies in the submitted algorithms, or should we take into account anything else from the package and benchmark data point of view?
I really appreciate any help you can provide. Thank you. | {
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https://api.github.com/repos/usnistgov/frvt/issues/72 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/72/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/72/comments | https://api.github.com/repos/usnistgov/frvt/issues/72/events | https://github.com/usnistgov/frvt/issues/72 | 1,169,509,757 | I_kwDOBIKFiM5FtU19 | 72 | Errors while compiling validation package 1:1 | {
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"As a sanity check, do you get the same error when you build the null implementation by running ./scripts/build_null_impl.sh and then running ./run_validate_11.sh?",
"I am facing same problem. \r\n/usr/bin/ld: CMakeFiles/validate_morph.dir/validate_morph.o: in function `main':\r\nvalidate_morph.cpp:(.text+0xf9f):... | 2022-03-15T10:54:09 | 2022-03-28T20:14:58 | null | NONE | null | null | null | /usr/bin/ld: validate11.cpp:(.text.startup+0x35): undefined reference to `FRVT::FRVT_STRUCTS_MINOR_VERSION'
/usr/bin/ld: validate11.cpp:(.text.startup+0x5b): undefined reference to `FRVT::FRVT_STRUCTS_MAJOR_VERSION'
/usr/bin/ld: validate11.cpp:(.text.startup+0x85): undefined reference to `FRVT::FRVT_STRUCTS_MINOR_VERSION'
/usr/bin/ld: validate11.cpp:(.text.startup+0x12d): undefined reference to `FRVT_11::API_MAJOR_VERSION'
/usr/bin/ld: validate11.cpp:(.text.startup+0x13b): undefined reference to `FRVT_11::API_MINOR_VERSION'
/usr/bin/ld: validate11.cpp:(.text.startup+0x375): undefined reference to `FRVT_11::API_MAJOR_VERSION'
/usr/bin/ld: validate11.cpp:(.text.startup+0x39f): undefined reference to `FRVT_11::API_MINOR_VERSION'
/usr/bin/ld: validate11.cpp:(.text.startup+0x538): undefined reference to `FRVT_11::Interface::getImplementation()'
collect2: error: ld returned 1 exit status
make[2]: *** [src/testdriver/CMakeFiles/validate11.dir/build.make:100:../bin/v
alidate11] Error 1
make[1]: *** [CMakeFiles/Makefilez:94:src/testdriver/CMakeFiles/validate11.dir
/all] Error 2
make: *** [Makefile:84: all] Error 2
I am facing the above issue when I placed my .so file in libs folder
Please suggest as to what changes needs to be done in my .so file or any other file to solve the issue | {
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https://api.github.com/repos/usnistgov/frvt/issues/71 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/71/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/71/comments | https://api.github.com/repos/usnistgov/frvt/issues/71/events | https://github.com/usnistgov/frvt/issues/71 | 1,164,674,822 | I_kwDOBIKFiM5Fa4cG | 71 | If my code needs to read the model externally, where should I put the face recognition related models ？ | {
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"The models should be located in the 'config' directory.\r\n\r\nI don't think there's any guarantee over the other directories which is why the configDir is supplied in the function.",
"> The models should be located in the 'config' directory.\r\n> \r\n> I don't think there's any guarantee over the other director... | 2022-03-10T02:52:33 | 2022-03-10T02:58:28 | 2022-03-10T02:58:28 | NONE | null | null | null | Take 1:N as an example. In the NullImplFRVT1N::initializeTemplateCreation func, I should load the face recognition related models. If puting the face recognition related models in the same level directory as run_validate_1N.sh, may i use './face_model' in the initializeTemplateCreation function?
```
NullImplFRVT1N::initializeTemplateCreation(
const std::string &configDir,
FRVT::TemplateRole role)
{
face_model model = load('./face_model');
return ReturnStatus(ReturnCode::Success);
}
```
the following is the tree struct of 1N directory.
|-- CMakeLists.txt
|-- README.md
|-- bin
| `-- validate1N
|-- config
|-- doc
| `-- version.txt
|-- input
| |-- enroll_1N.txt
| |-- enroll_1N_multiface.txt
| |-- enroll_1N_short.txt
| |-- insert.txt
| |-- search_1N.txt
| `-- search_1N_multiperson.txt
|-- lib
| `-- libfrvt_1N_xxx_000.so
|-- libfrvt_1N_xxx_000.tar.gz
|-- run_validate_1N.sh
|-- scripts
| |-- build_null_impl.sh
| |-- compile_and_link.sh
| `-- run_testdriver.sh
`-- validation
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https://api.github.com/repos/usnistgov/frvt/issues/70 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/70/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/70/comments | https://api.github.com/repos/usnistgov/frvt/issues/70/events | https://github.com/usnistgov/frvt/issues/70 | 1,162,549,843 | I_kwDOBIKFiM5FSxpT | 70 | match against failed templates | {
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"You can set the similarity score to whatever value you think is a good idea, for example, returning a very low score to represent a rejection or setting the similarity score to -1.0."
] | 2022-03-08T11:36:10 | 2022-03-08T13:22:53 | 2022-03-08T13:22:52 | NONE | null | null | null | Hi,
for frvt_11, I read in th documentation of the template creation:
```
In all cases, even when unable to extract features, the output shall be a template that may be
passed to the matchTemplates() function without error. That is, this routine must internally encode "template
creation failed" and the matcher must transparently handle this.
```
Fine, but what about similarity?
Evene if I return some error during template creation step, that template is still being passed to `matchTemplates` and returning a similarity makes no sense.
The failed templates shouldn't be supposed to not being passed to match functions? If not, what similarity should I return in those cases?
Thanks | {
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https://api.github.com/repos/usnistgov/frvt/issues/69 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/69/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/69/comments | https://api.github.com/repos/usnistgov/frvt/issues/69/events | https://github.com/usnistgov/frvt/issues/69 | 1,149,775,199 | I_kwDOBIKFiM5EiC1f | 69 | Tensorflow is not fork safe | {
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"All the main frameworks such as tensorflow, pytorch and mxnet have been known to work in NIST.\r\nYou may just need to compile it differently or set it up (usually a setting in each framework) so it does not attempt to use multi-threading.",
"Okay, I'll see if it is a multi thread problem and if I can recompile ... | 2022-02-24T21:37:47 | 2022-03-02T19:13:22 | 2022-03-02T18:52:48 | NONE | null | null | null | Hi NIST team.
I've created a dynamic library from Rust that my implementation of "frvt.h" in c++ uses, but I have a problem.
My model inference is made with TensorFlow, when I run the "run_validate.sh". It hangs indefinitely.
I've read that TF is not fork safe so that might be the problem.
¿Do you suggest to try another Machine Learning framekork or is there a workaround for this issue?
Edit: added a missing word "framework".
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https://api.github.com/repos/usnistgov/frvt/issues/68 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/68/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/68/comments | https://api.github.com/repos/usnistgov/frvt/issues/68/events | https://github.com/usnistgov/frvt/issues/68 | 1,136,858,124 | I_kwDOBIKFiM5DwxQM | 68 | Does the implementation of FRVT 1:N search also need to be limited to a single process？ | {
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"Yes, the implementation of 1:N search needs to be limited to a single process."
] | 2022-02-14T06:57:33 | 2022-02-14T13:25:26 | 2022-02-14T13:25:26 | NONE | null | null | null | As shown in the following picture, you need to test the speed of 1:N search with one single-core, but in the run_testdriver.sh script, only the number of processes during createTemplate is counted, but not during 1;N search. Does the implementation of FRVT 1:N search also need to be limited to a single process？
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https://api.github.com/repos/usnistgov/frvt/issues/67 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/67/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/67/comments | https://api.github.com/repos/usnistgov/frvt/issues/67/events | https://github.com/usnistgov/frvt/issues/67 | 1,129,555,592 | I_kwDOBIKFiM5DU6aI | 67 | input/match_multiperson.txt does not exists? | {
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"The match_multiperson.txt generated from the following code;\r\n```\r\ndo\r\n grep \"${line}_\" $outputDir/$outputStem.log | awk -v enroll=$line '{ print enroll\".template \" $1\".template\" }' >> $inputFileMulti\r\ndone\r\n```"
] | 2022-02-10T07:13:11 | 2022-02-10T07:18:24 | 2022-02-10T07:16:10 | NONE | null | null | null | ```
echo -n "Matching Multi-person Templates (Single Process) "
inputFileMulti=input/match_multiperson.txt
rm -f $inputFileMulti
sed '1d' $inputFile | awk '{ print $1 }' | while read line
```
https://github.com/usnistgov/frvt/blob/ubuntu/11/scripts/run_testdriver.sh#:~:text=inputFileMulti%3Dinput/match_multiperson.txt
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https://api.github.com/repos/usnistgov/frvt/issues/66 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/66/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/66/comments | https://api.github.com/repos/usnistgov/frvt/issues/66/events | https://github.com/usnistgov/frvt/issues/66 | 1,127,036,550 | I_kwDOBIKFiM5DLTaG | 66 | ubuntu 20.04.3 LTS evaluation gcc version | {
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"I used gcc 11 with CentOS (via epel) on previous submissions.\r\nUbuntu 20.04 comes with gcc-10 in the standard repo by the way.\r\n\r\nThe version of gcc is unlikely to be the matter but rather the version of glibc, which any compiler on Ubuntu 20.04 should use.",
"Our Ubuntu image is running g++ version 9.3.0.... | 2022-02-08T10:03:29 | 2022-02-08T13:40:06 | 2022-02-08T13:40:06 | NONE | null | null | null | Should gcc version be 9.3 (ubuntu 20.04.3 LTS default) or 8.3.1 as usual, when switching the FRVT evaluation operating system to Ubuntu 20.04.3 LTS?
Thx | {
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"If your software successfully runs through validation software, match_multiperson.txt gets generated at the end in scripts/run_testdriver.sh."
] | 2022-02-02T19:22:03 | 2022-02-02T19:27:40 | 2022-02-02T19:27:39 | NONE | null | null | null | The last test in ./run_validate_11.sh regarding "Matching Multi-person Templates (Single Process) " needs match_multiperson.txt which is not available in the input folder.
Please advise on how to proceed. | {
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"We are only interested in the active threads, so given you only have a single active thread, it should be fine. Send us your submission, and we will validate the active thread count on our end. Thanks."
] | 2021-09-17T20:00:24 | 2021-09-17T20:07:26 | 2021-09-17T20:07:26 | NONE | null | null | null | I have limited thread of Tensorflow and Pytorch to 1, but still the warning message mentions about detecting 6 threads. Out of these 6 threads only one thread is running and others are in sleep mode. The following is the output of htop command for the above mentioned scenario. In one of the comment it is mentioned that you check multithreading case by case, Is this case acceptable for submission?
| {
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"There is no minimum/maximum resolution per se. In our report and on our leaderboard under the resources tab, you'll see that we run on images as large as 3000x4500, sometimes larger. If your software inherently does not support certain image sizes, it should fail gracefully, meaning return a successful return co... | 2021-09-13T20:59:29 | 2021-09-13T21:42:45 | 2021-09-13T21:42:45 | NONE | null | null | null | What is the minimum and maximum resolution of input image to createTemplate method or is it 640x480?
createTemplate(
const Multiface &faces,
TemplateRole role, Input
std::vector<uint8_t> &templ,
std::vector<EyePair> &eyeCoordinates); | {
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"I was able to reduce the build time significantly by caching the github repo. "
] | 2021-09-13T18:44:53 | 2022-01-07T19:47:36 | 2022-01-07T19:47:36 | NONE | null | null | null | Due to all the image files which are stored in the github repo, the repo takes a **very** long time to clone.
We build our NIST FRVT implementation as part of a CI pipeline, and it is currently taking over 10 minutes to clone the repository.
Is it possible to store the images outside of the github repo on a faster data storage platform (ex. google cloud storage), and perhaps provide a shell script to download and extract the images to the correct location? | {
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"The null implementation currently stores templates in a std::map, as an example. If your algorithm stores templates with a different data structure (e.g., to enable faster search), then what's in the null implementation is obviously not going work."
] | 2021-08-25T09:44:13 | 2021-08-25T17:46:26 | 2021-08-25T17:46:26 | NONE | null | null | null | Should I change the implementation of galleryInsertID(const std::vector<uint8_t> &templ, const std::string &id) function frvt/1N ? What do I loose if keep the implementation of this function exactly as that of frvt/1N/src/nullImpl/nullimplfrvt1N.cpp ? | {
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https://api.github.com/repos/usnistgov/frvt/issues/60 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/60/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/60/comments | https://api.github.com/repos/usnistgov/frvt/issues/60/events | https://github.com/usnistgov/frvt/issues/60 | 971,470,147 | MDU6SXNzdWU5NzE0NzAxNDc= | 60 | Libarchive and cmake version mismatch | {
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"Interesting. We've never encountered this issue with cmake on our end. Our systems are running CentOS Linux release 8.2.2004, cmake version 3.11.4, and libarchive.so.13.3.2.",
"We are seeing this error with CMake version 3.18. So I think cmake 3.11.4 wont have issue, we can submit the package.",
"For cmake 3... | 2021-08-16T08:00:23 | 2021-09-10T15:19:53 | 2021-08-16T18:51:16 | NONE | null | null | null | While running the scripts provided by NIST to compile and build the final package we are getting an error
`cmake: symbol lookup error: cmake: undefined symbol: archive_write_add_filter_zstd`
In order to resolve the issue we had to upgrade the libarchive to 3.3.3. Also, the issue was not seen with CMake version 3.17.
Question: Is this issue been already resolved from NIST's end, since the repo is quite old and maybe has not been updated.
Should we go ahead with a version that works or it has to be the version in NIST's scripts install?
[Similar issue ](https://bugzilla.redhat.com/show_bug.cgi?id=1827927) | {
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"If the validation script successfully ran and was able to generate the submission package, then that means it passed all preliminary validation checks, and you can just send us the encrypted tar.gz package to NIST.\r\n\r\nIf there are errors during validation on our end, we will notify you with the issues."
] | 2021-08-14T06:38:05 | 2021-08-16T12:19:50 | 2021-08-16T12:19:50 | NONE | null | null | null | Hello
For example in 1:N package, upon successfully running `run_validate_1N.sh` script (in a fresh CentOS 8.2 system) without any error, it will create a submission package compressed in tar.gz format. How can we use this generated package to further test whether this submission package will run from NIST's side or not?
If we are able to prepare the submission package without any error, but during validation from NIST team, some errors pop up, how can we replicate these errors from our side? Before submitting the encrypted package, is there any script/command that we can use to test the validity of the submission package (the tar.gz file generated) like the NIST team would do?
Thanks in advance. | {
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"If your submission fails timing, you will have one opportunity to resubmit immediately to resolve the timing issue. We process submissions on a first-come-first-serve basis, so once we receive a working submission from you, we will run it and include it in the next report cycle."
] | 2021-07-30T18:01:02 | 2021-07-30T18:06:08 | 2021-07-30T18:05:49 | NONE | null | null | null | Hello,
If the package we submitted runs successfully without package/code/threads errors, but it does not pass the timing tests (Eg: Under 1500 ms for template creation in 1:1 package). Would we get a chance to fix the package and resend it immediately or would we have to wait for 4 calendar months?
If we can fix and resend the package immediately, will the submission be evaluated in the current iteration leaderboard update or the next update iteration?
Thanks in advance. | {
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"Per the API document (https://pages.nist.gov/frvt/api/FRVT_ongoing_1N_api.pdf):\r\n\r\nFor enrollment templates (TemplateRole=Enrollment_1N): When the implementation fails to produce a template (i.e. returns a non-successful return code), it shall still return a blank template (which can be zero bytes in length). ... | 2021-07-12T13:51:40 | 2021-07-12T14:04:29 | 2021-07-12T14:04:29 | NONE | null | null | null | In cases where faces are not detected by the detector,
1) should we return an error code or a random template (feature vector, eye coordinates)?
2) How will these templates be handled during enrolment, search phase? | {
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https://api.github.com/repos/usnistgov/frvt/issues/56 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/56/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/56/comments | https://api.github.com/repos/usnistgov/frvt/issues/56/events | https://github.com/usnistgov/frvt/issues/56 | 939,046,248 | MDU6SXNzdWU5MzkwNDYyNDg= | 56 | Timing analysis | {
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"We are basically doing the following (pseudocode):\r\n\r\nstart = std::chrono::system_clock::now()\r\ncreateTemplate()\r\nstop = std::chrono::system_clock::now()\r\ntime = stop - start\r\n",
"@mlngan Thanks for the reply.\r\nBut does this code use any forking?\r\nIn your comment here https://github.com/usnistgov... | 2021-07-07T16:07:22 | 2021-07-07T22:16:04 | 2021-07-07T18:48:28 | NONE | null | null | null | Hello,
Do you use a separate script to perform timing analysis?
Would it be possible for you to share the code you use to test template creation time?
Thanks. | {
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https://api.github.com/repos/usnistgov/frvt/issues/55 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/55/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/55/comments | https://api.github.com/repos/usnistgov/frvt/issues/55/events | https://github.com/usnistgov/frvt/issues/55 | 938,985,741 | MDU6SXNzdWU5Mzg5ODU3NDE= | 55 | Threshold to make the decision in FRVT 1:N package | {
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"The **decision** would a best guess. You might apply a threshold, or you might do something else (for example, what if more than one person comes above threshold in a consolidated database?). We'd use the **decision** to compute one point on a Detection Error Tradeoff (DET) curve. It would probably lie on the D... | 2021-07-07T15:00:43 | 2021-07-07T15:23:18 | 2021-07-07T15:23:18 | NONE | null | null | null | In Table 10 on page 13 of [FRVT 1:N API document](https://pages.nist.gov/frvt/api/FRVT_ongoing_1N_api.pdf), we are asked to return a `decision` (true/false) whether there is a mate within the enrollment database for a query along with the candidate IDs and similarity score. What threshold should be used to make this decision in the [`identifyTemplate`](https://github.com/usnistgov/frvt/blob/master/1N/src/nullImpl/nullimplfrvt1N.cpp#L106) function?
On the [1:N leader board page](https://pages.nist.gov/frvt/html/frvt1N.html), it is told that `"threshold is set to limit to the False Positive Identification Rate (FPIR) to 0.003"` and also that `"The threshold is set for each algorithm and each column separately"`. So, we are assuming NIST would be setting the thresholds to get the final results.
So, we are confused on which threshold to use to make the decision in [`identifyTemplate`](https://github.com/usnistgov/frvt/blob/master/1N/src/nullImpl/nullimplfrvt1N.cpp#L106) function. Any help with this will be much appreciated.
Thanks in advance. | {
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"We've added a test case in the validation package for template generation using multiple image inputs."
] | 2021-06-07T08:51:51 | 2021-06-07T17:24:15 | 2021-06-07T17:23:46 | NONE | null | null | null | Hi,
According to your documentations, a person can be represented by multiple images (and these images will be represented as a single std::vector<Image> . However your in your test scripts for FRVT 1:1, you only run test for one single enroll image - one verification image. Is there any way so we can test multiple enroll image - one/multiple verification image ?
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https://api.github.com/repos/usnistgov/frvt/issues/52 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/52/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/52/comments | https://api.github.com/repos/usnistgov/frvt/issues/52/events | https://github.com/usnistgov/frvt/issues/52 | 894,937,182 | MDU6SXNzdWU4OTQ5MzcxODI= | 52 | Range of similarity | {
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"No. Any non-negative range is permitted eg. [0,1] or [300,400].\n\n\nFrom: Kei ***@***.***>\nDate: Tuesday, May 18, 2021 at 22:50\nTo: usnistgov/frvt ***@***.***>\nCc: Subscribed ***@***.***>\nSubject: [usnistgov/frvt] Range of similarity (#52)\n\nHello,\n\nAccording to the document, the similarity value is a sim... | 2021-05-19T02:50:18 | 2021-05-19T03:30:14 | 2021-05-19T03:30:14 | NONE | null | null | null | Hello,
According to the document, the similarity value is a similarity score resulting from comparison of the templates, **on the range [0,
1000000].**
We use cosine similarity to calculate the similarity score, the value is on the range [0,1].
Do we need to normalize that value from [0,1] to [0, 1000000]?
Thanks, | {
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"By doing channel = depth/8, it works.",
"Hi @wfcb-85, when I compile and run with :\r\n\r\n cv::Mat(height, width, CV_8UC3, img_data, channel*width);\r\n\r\nit gives the error:\r\n\r\nerror: (-215:Assertion failed) _step >= minstep in function 'Mat'\r\n\r\nI am new to C++, can you or someone help me?",
"Why is... | 2021-02-11T16:02:16 | 2022-10-28T09:58:03 | 2021-02-11T19:02:28 | NONE | null | null | null | Hello,
I'm trying to set the received images in the same format they are if I read them with cv::imread ( is with that format that I train my models). Unfortunately, I'm unable to get correct images, when I save them, they make no sense. The code I'm trying with inside the 'createTemplate' function is the following:
int depth = faces[0].depth;
int width = faces[0].width;
int height = faces[0].height;
int channel = depth/3;
uchar* img_data = faces[0].data.get();
cv::frame = cv::Mat(height, width, CV_8UC3, img_data, channel*width); | {
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"The timing limits for 1:1 are listed in Table 1 of the API document: https://pages.nist.gov/frvt/api/FRVT_ongoing_11_api.pdf.\r\n\r\nPlease see the FRVT Evaluation Specifications for hardware specs: https://pages.nist.gov/frvt/api/FRVT_common.pdf."
] | 2021-02-10T16:08:04 | 2021-02-10T16:12:02 | 2021-02-10T16:12:02 | NONE | null | null | null | I've got that submission has to use 1 CPU thread. What are the other limits: inference time, RAM usage, etc?... | {
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"There's a test in the validation script that ensures you fail when the config directory is missing.\r\n\r\nIt appears that you are failing to load your torch model, as you should, which will return an invalid pointer.\r\n\r\nHowever, you have failed to verify that 1) the model file existed, 2) permissions are corr... | 2021-01-25T23:08:00 | 2021-02-01T22:25:44 | 2021-02-01T22:25:44 | NONE | null | null | null | Hello,
After I was trying to load a torch model, and it failed, I get every time I execute run-validate_11.sh an invalid pointer error. The error persists even when I set the code as it originally was and build it again. For info, I'm building the null implementation.
You can find below the message of the error:
-------------------------
Running 1:1 validation
-------------------------
Checking for hard-coded config directory free(): invalid pointer
PID 142393 exited due to signal 6
free(): invalid pointer
scripts/run_testdriver.sh line 68: 142392 Aborted | {
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https://api.github.com/repos/usnistgov/frvt/issues/48 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/48/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/48/comments | https://api.github.com/repos/usnistgov/frvt/issues/48/events | https://github.com/usnistgov/frvt/issues/48 | 792,052,980 | MDU6SXNzdWU3OTIwNTI5ODA= | 48 | Can I load the models in the constructor? | {
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"The initialize() function is called in the testdriver provided in the validation package - https://github.com/usnistgov/frvt/blob/master/11/src/testdriver/validate11.cpp\r\n\r\nDid you follow the instructions contained in the README.md file on putting your library into ./lib? Or did you optionally build the null ... | 2021-01-22T14:35:06 | 2021-01-25T23:03:17 | 2021-01-25T23:03:17 | NONE | null | null | null | Hello,
When I execute run_validate.sh, it does not seem to be calling the initialize function. I don't see the messages I print nor a change of the values of the variables. Would it be a problem if I loaded the model files within the constructor? | {
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"This heavily depends on your deep learning framework. Please provide more details.",
"Thanks for your reply, Sorry for my mistake. My model using pytorch framework. By using NCNN to port pytorch model tobe able to read in C++, I can not utilize Resnet 50 because of the big inference time. But other teams can. Ma... | 2020-11-24T06:36:55 | 2023-12-21T15:42:48 | null | NONE | null | null | null | Hi Nist's participants, I have successfully submitted my solutions to Nist for several months. NCNN is the way to convert the python model to c++, but it quite slow for the inference. I find that some teams submitted a larger model ( Resnet 50 or Resnet 100,...), May I ask for the best method to port the python model to inference in c++? | {
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"The purpose of the validation package is to ensure your submission adheres to the API and tests a bunch of edge cases to make sure your software doesn't crash. The images published aren't necessarily used to test the accuracy of your software, so we do not publish any sort of ground truth for the identities."
] | 2020-10-23T03:06:56 | 2020-10-23T13:56:53 | 2020-10-23T13:56:53 | NONE | null | null | null | Hi @mlngan how do i categorize the pictures provided on github(https://github.com/usnistgov/frvt/tree/master/common/images)?
How do i know which pictures are the same person? | {
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"Email us: frvt@nist.gov"
] | 2020-09-17T22:48:13 | 2020-09-17T23:02:44 | 2020-09-17T23:02:44 | NONE | null | null | null | Its been more than 10 days and we haven't received results for 1:1 can you please give some clarity as you have moved to a different OS and we would have to migrate for submitting 1:N submission. Very confused. Please update. | {
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"Unsure why tempConfigDir would be an empty path as it works on my end. But I've reverted back to not appending $(pwd) in front of the config dirs, so it should work now. New OS requirement is now CentOS 8.2. b18c70f"
] | 2020-09-13T21:47:30 | 2020-09-14T10:14:17 | 2020-09-14T10:14:01 | NONE | null | null | null | When the [script]( https://github.com/usnistgov/frvt/blob/master/11/scripts/run_testdriver.sh
) is running, an empty path is passed.
The system centos 7.6 did not repeat itself.
```bash
echo -n "Checking for hard-coded config directory "
tempConfigDir=$(pwd)/otherConfig
chmod 775 $configDir; mv $configDir $tempConfigDir; chmod 550 $tempConfigDir
bin/validate11 createTemplate -x enroll -c $tempConfigDir -o $outputDir -h $outputStem -i $inputFile -t $numForks -j $templatesDir
retEnroll=$?
```
@mlngan | {
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"We'll be pushing out updates for CentOS 8.2 this week."
] | 2020-09-08T07:20:45 | 2020-09-08T11:39:11 | 2020-09-08T11:39:11 | NONE | null | null | null | When will the scripts be updated for Centos 8.2? @mlngan
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"The NIST FRVT API would require that you either translate or wrap your Python code with C++. We have received submissions where developers have successfully done this."
] | 2020-08-18T07:49:05 | 2020-08-18T11:56:58 | 2020-08-18T11:56:58 | NONE | null | null | null | In order to submit to NIST FRVT, do we need to transfer our code from Python and TensorFlow to C++? Is it possible to call and execute the Python code from within the NIST FRVT C++ API? | {
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"The testdriver forks child processes to do work, and the destructor gets called once for each child process + once for the parent process. We use this approach in our actual test, so you will need to address this."
] | 2020-08-10T14:23:19 | 2020-08-18T12:15:32 | 2020-08-18T12:15:32 | NONE | null | null | null | The NIST API calls ~NullImplFRVT11() two times after each call to "bin/validate11 createTemplate -x enroll -c $configDir -o $outputDir -h $outputStem -i $inputFile -t $numForks -j $templatesDir retEnroll=$?" Both the destructors use different process ids. This does not allow my program to release memory. I expect only one call to ~NullImplFRVT11(). Whats the problem and how to restrict processes to only one? | {
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"For the FRVT 1:1, 1:N, and Quality tracks, participants may send **one** submission as often as every four calendar months from the last submission for evaluation. We are no longer allowing two submissions for first-time participants.\r\n",
"Thanks for the quick updade. Appreciate it!",
"@mlngan What if my su... | 2020-08-03T21:19:14 | 2021-04-06T14:08:31 | 2020-08-03T21:23:39 | NONE | null | null | null | Hello,
This is not really an issue, it is more a doubt. I believe last year it was possible to submit two versions of algorithms, and then every submission would need to wait for four months until a new one is done. I did it in the past company, so I'm sure about this.
Is this rule currently valid?
Thanks for the clarification.
Best,
Miguel | {
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https://api.github.com/repos/usnistgov/frvt/issues/39 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/39/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/39/comments | https://api.github.com/repos/usnistgov/frvt/issues/39/events | https://github.com/usnistgov/frvt/issues/39 | 667,655,012 | MDU6SXNzdWU2Njc2NTUwMTI= | 39 | Error authenticate the Nist key | {
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"Your public encryption key is the result of step 2 of the process, which should be named forfrvt11.gpg. You need to email that file to frvt@nist.gov.",
"I need to re-submit my solution to Nist. But unfortunately, my default key (private key) disappears. Can I generate another key and resubmit, including forfrvt... | 2020-07-29T08:30:59 | 2020-08-05T12:55:39 | 2020-07-29T12:23:46 | NONE | null | null | null | I am confusing at email my public key to Nist, Don't really understand here. What is it and how do I know my public key is sent to Nist successfully?
| {
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https://api.github.com/repos/usnistgov/frvt/issues/141 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/141/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/141/comments | https://api.github.com/repos/usnistgov/frvt/issues/141/events | https://github.com/usnistgov/frvt/issues/141 | 2,432,289,049 | I_kwDOBIKFiM6Q-ckZ | 141 | Possibility to relax Ubuntu 20.04 minor version requirement | {
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I am wondering whether it is necessary to specifically check for Ubuntu version 20.04.3 LTS.
The currently supported version is Ubuntu 20.04.6 and contains lots of important security updates.
Since the minor version changes should not have a relevant impact on the included packages, I would advocate to allow all Ubuntu 20.04.x versions.
I will create a PR and hope that the PR can be accepted.
Kind regards | {
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https://api.github.com/repos/usnistgov/frvt/issues/139 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/139/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/139/comments | https://api.github.com/repos/usnistgov/frvt/issues/139/events | https://github.com/usnistgov/frvt/issues/139 | 2,408,085,118 | I_kwDOBIKFiM6PiHZ- | 139 | incorrect path to some images for age-estimation | {
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eg:
`../common/images/face/videos/small.ppm` should be `../common/images/face/small.ppm` | {
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https://api.github.com/repos/usnistgov/frvt/issues/138 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/138/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/138/comments | https://api.github.com/repos/usnistgov/frvt/issues/138/events | https://github.com/usnistgov/frvt/issues/138 | 2,386,294,354 | I_kwDOBIKFiM6OO_ZS | 138 | Unexpected path of `video1` for `run_validate_ae.sh` | {
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"We've updated the file with the correct path. Thank you."
] | 2024-07-02T13:40:03 | 2024-07-02T18:27:45 | 2024-07-02T18:27:45 | NONE | null | null | null | When running `./run_validate_ae.sh`, the execution fails with:
This can be fixed by moving the `video1` folder down by one directory, however, this should not be expected of the user. | {
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https://api.github.com/repos/usnistgov/frvt/issues/137 | https://api.github.com/repos/usnistgov/frvt | https://api.github.com/repos/usnistgov/frvt/issues/137/labels{/name} | https://api.github.com/repos/usnistgov/frvt/issues/137/comments | https://api.github.com/repos/usnistgov/frvt/issues/137/events | https://github.com/usnistgov/frvt/issues/137 | 2,381,506,997 | I_kwDOBIKFiM6N8um1 | 137 | Disparity of median enrollment time when running on single core. | {
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"During our timing test, we only run with a single process (and limit the number of CPUs to one). We run and time the template generation call over many iterations, then take the median of those timing values."
] | 2024-06-29T05:28:04 | 2024-07-01T11:22:00 | 2024-07-01T11:21:59 | NONE | null | null | null | The NIST document specifies that the median enrollment time must be under 1.5 seconds on a single core, tested on an Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz. In the run_testdriver.sh script, the num_forks argument is used to run validate11.cpp.
When I run the script on a single core using the command taskset --cpu-list 1 run_validate11.sh, the enrollment time for multiple processes (i.e., num_forks = 4) increases fourfold compared to a single process. However, there is no increase in time for multiple processes when I run the script without the taskset command.
How does NIST internally check the median enrollment time? Do they use the taskset command to limit the number of CPUs to one? | {
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"`git clone --depth 1` may lower the size of files",
"thank you for the approach. but for my trying, still have 7.7G. the images and video size is 5.7G, cannot avoid that huge .git folder. ",
"I think basically caused by 4.7G videos uploaded recently by this commit 7ca40ad12d548232e88aecb167934bac1e659f29."
] | 2024-06-13T21:39:27 | 2024-06-14T09:25:08 | null | NONE | null | null | null | now git clone the frvt repo would create 10G+ .git files (files in frvt repo not counting yet), while the scripts and source code files only a few KBs.
it is not a good idea to git clone the whole frvt repo while you are mixing the data files (no version control/history required) and source files in git. | {
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