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[ "We've updated the file with the correct path. Thank you." ]

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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." ]

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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." ]

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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 ***@***.***>\r\nCc: Subscribed ***@***.***>\r\nSubject: [usnistgov/frvt] Doubt regarding NIST Public Key (Issue #134)\r\n\r\n\r\nHi!\r\n\r\nI 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>.\r\n\r\nAs 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.\r\n\r\nHowever 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.\r\n\r\nkey_mismatch.png (view on web)<https://github.com/usnistgov/frvt/assets/45599762/48e32547-5bc7-4be4-8e41-0e0f980431d4>\r\n\r\nIs this acceptable for the submission or am I missing something when importing the key?\r\n\r\nThanks,\r\nVinayak.\r\n\r\n—\r\nReply to this email directly, view it on GitHub<https://github.com/usnistgov/frvt/issues/134>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ADVZFNO35GUQN6DQLHTUSJ3ZD3TGVAVCNFSM6AAAAABIHA4MCSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGMYTINRSGI2DKMI>.\r\nYou are receiving this because you are subscribed to this thread.Message ID: ***@***.***>\r\n", "Yeah that's what I meant. Thanks for the confirmation!" ]

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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 similarity score.\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\nFrom: Erik ***@***.***>\r\nDate: Monday, May 13, 2024 at 11:34 AM\r\nTo: usnistgov/frvt ***@***.***>\r\nCc: Subscribed ***@***.***>\r\nSubject: [usnistgov/frvt] Failure-to-enroll/-to-extract (Issue #133)\r\n\r\nHi,\r\n\r\nI 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?\r\n\r\n—\r\nReply to this email directly, view it on GitHub<https://github.com/usnistgov/frvt/issues/133>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ADVZFNITMKXX2P4N3YTSIY3ZCDMRZAVCNFSM6AAAAABHUOQJ5GVHI2DSMVQWIX3LMV43ASLTON2WKOZSGI4TGMJVHE4DSMY>.\r\nYou are receiving this because you are subscribed to this thread.Message ID: ***@***.***>\r\n", "I came across this issue before. The wording is a bit misleading, and it suggests it isn't counted.\nThink of it logically: Of course it is counted in the results. Otherwise, it is in your interest to fail to extract any marginally difficult images.\n\nIt is counted and will be considered the worst score, so it is in your interest to actually extract it usually. You get given enough time to try various methods of extraction.", "@paddygr : I'm referring to the latest FRTE 1:N report, specifically section 3.5, which states, \"We do not report FTX...\". Given this, I assume the numbers reported in Table 15 under the column \"failure to extract features\" are only FTE – the proportion of templates that could not be generated during enrollment. My follow-up question concerns the IREX10 submissions: Does the FTE Rate reported on the table on the website also refer to the proportion of template generation during enrollment?" ]

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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/files/14534503/CMakeLists.txt)\r\n\r\n\r\nThe onnx and opencv \".so\" files are in onnxruntime/build/Linux/Release/ and opencv/build/lib/ folders\r\nWhat changes should I make in CMakeLists.txt in order to add relative path of onnx and opencv so files?\r\nIn the thread you mentioned, he moves all the opencv .so files in lib folder and sets the as the LDD_Library_path is set to frvt/1N/lib. I also did the same but couldn't achieve relative linking.\r\n\r\n", "I use onnxruntime and opencv. This is my `CMakeLists.txt`. You can refer to it.\r\n```\r\nproject(nullImpl)\r\ncmake_minimum_required(VERSION 2.8)\r\n\r\n# Find OpenCV package\r\n# set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} ${CMAKE_CURRENT_SOURCE_DIR}/../../lib/opencv-4.9.0/cmake)\r\nset(OpenCV_DIR ${CMAKE_CURRENT_SOURCE_DIR}/../../lib/opencv-4.9.0/lib/cmake/opencv4)\r\nfind_package(OpenCV REQUIRED)\r\n\r\nset (CMAKE_CXX_FLAGS \"${CMAKE_CXX_FLAGS} -std=c++17\")\r\n\r\n# Link onnxruntime\r\nset(ONNX_LIB_DIR ${CMAKE_CURRENT_SOURCE_DIR}/../../lib/onnxruntime-linux-x64-1.17.1/lib)\r\n\r\nset(SOURCES nullimplfrvt11.cpp fd.cpp)\r\nadd_executable(nullimplfrvt11 ${SOURCES})\r\ntarget_link_libraries(nullimplfrvt11 ${ONNX_LIB_DIR}/libonnxruntime.so \r\n \t\t\t ${ONNX_LIB_DIR}/libonnxruntime.so.1.17.1)\r\ntarget_link_libraries(nullimplfrvt11 ${OpenCV_LIBS})\r\n\r\n# Include directories\r\ninclude_directories(${OpenCV_INCLUDE_DIRS})\r\ninclude_directories(${CMAKE_CURRENT_SOURCE_DIR}/../include \r\n ${CMAKE_CURRENT_SOURCE_DIR}/../../../common/src/include\r\n ${CMAKE_CURRENT_SOURCE_DIR}/../../lib/onnxruntime-linux-x64-1.17.1/include\r\n ${CMAKE_CURRENT_SOURCE_DIR}/../../lib/opencv-4.9.0/include)\r\n\r\n# Configure built shared libraries in top-level lib directory\r\nset (CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/../../lib)\r\n\r\n# Build the shared libraries\r\nadd_library (frvt_11_VVTK_001 SHARED nullimplfrvt11.cpp fd.cpp)\r\n\r\n# Link Torch to the shared library\r\ntarget_link_libraries(frvt_11_VVTK_001 ${ONNX_LIB_DIR}/libonnxruntime.so \r\n \t\t\t ${ONNX_LIB_DIR}/libonnxruntime.so.1.17.1)\r\ntarget_link_libraries(frvt_11_VVTK_001 ${OpenCV_LIBS})\r\n```" ]

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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: Subscribed ***@***.***>\r\nSubject: [usnistgov/frvt] FRTE Latest Report Query (Issue #129)\r\n\r\nIn 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.\r\n\r\nIn 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:\r\n\r\nThe number of images used to make a template is one.\r\nThe number of templates used to make each comparison score is two corresponding to simple one-to-one verification\r\n\r\nIn the API document<https://pages.nist.gov/frvt/api/FRVT_ongoing_11_api.pdf> on line 82, we can see the following table\r\n\r\nimage.png (view on web)<https://github.com/usnistgov/frvt/assets/45599762/cac32890-5639-4b75-92a4-f15485c69542>\r\n\r\nMy question is then when will multiple images (i.e. K > 1) be sent to createFaceTemplate API for making an enrolment or verification template?\r\n\r\nThanks,\r\nVinayak.\r\n\r\n—\r\nReply to this email directly, view it on GitHub<https://github.com/usnistgov/frvt/issues/129>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ADVZFNOEFLOKP6YEM3DK3MLYXBNBFAVCNFSM6AAAAABEK5CTMKVHI2DSMVQWIX3LMV43ASLTON2WKOZSGE3TGNZWGA3TCNQ>.\r\nYou are receiving this because you are subscribed to this thread.Message ID: ***@***.***>\r\n" ]

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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\r\n\r\nI have tried the following options in my CMakeLists.txt file in the src/nullImpl folder\r\n\r\n```\r\n# Option 1\r\nset (CMAKE_SHARED_LINKER_FLAGS \"-Wl,-rpath-link,$ORIGIN/opencv_42/lib\")\r\n\r\n# Option 2\r\nset (CMAKE_SHARED_LINKER_FLAGS \"-Wl,-rpath,$ORIGIN/opencv_42/lib\")\r\n\r\n# Option 3\r\nset(ocv_name opencv_42)\r\nset(CMAKE_SHARED_LINKER_FLAGS \"-Wl,-rpath-link,${CMAKE_CURRENT_SOURCE_DIR}/../../lib/${ocv_name}/lib/\")\r\n\r\n#Option 4\r\nset(ocv_name opencv_42)\r\nset(CMAKE_SHARED_LINKER_FLAGS \"-Wl,-rpath,${CMAKE_CURRENT_SOURCE_DIR}/../../lib/${ocv_name}/lib/\")\r\n```\r\n\r\nWhen I do chrpath, I can see that the rpath is set appropriately as expected\r\n\r\n\r\n\r\nAlso the libraries for libopencv_dnn, libopencv_imgproc etc. are present in the proper locations as seen below\r\n\r\n\r\n\r\nHowever when executing the `run_validate_11.sh` file, these libraries are not fetched...\r\n\r\nCould you suggest how can I debug this issue further? I have tried several things but nothing has succeeded so far...\r\n\r\n", "I would say your chrpath is showing that the RPATH is misconfigured. For example if you move the library to another path, does it still work? It looks like a full path in the output.\nYou can also change the rpath to a relative path.\n\nTry this: move the libraries and bin to a different path as the validation would do and then check if it works. If it works, no problem.", "Thanks for the comment, indeed it was misconfigured.\r\n\r\nNow I think it is configured correctly as I can see that it is showing origin correctly in the rpath of the exeutable.\r\n\r\n\r\n\r\nHowever, still some opencv libraries are not being picked up despite their presence in the libs folder as shown in the following folder structure\r\n\r\n\r\n\r\n", "Hi @xsacha ,\r\n\r\nIf I do an ldd to check if all the libraries are linked properly against the submission library, I get the following output\r\n\r\n\r\n\r\nIt is linking with all the libraries properly except `libopencv_imgproc.so`, any ideas why would that be? The library exists in the same path as `libopencv_dnn.so` and `libopencv_core.so` which are there in the same directory as `libopencv_imgproc.so`.\r\n\r\nAny idea on what might be going wrong? This same thing works fine when I test on my local machine but on the VM built using ISO provided by NIST, I encounter this issue...\r\n\r\nThanks,\r\nVinayak.", "Solved this issue. After inspecting which files are not linked to my submission library I found that the opencv libraries were not linked and this was happening because the LD_LIBRARY_PATH was set only to frvt/11/lib.\r\n\r\nKeeping all the opencv libraries in lib folder in a flat format helped solve this issue.", "@ElisonSherton Can you give some hint on how you changed the CMakeLists.txt since I am facing the same issue as well. My folder structure inside lib folder is as follows:\r\nlib:\r\n libfrvt_nullimpl.so\r\n opencv_folder\r\n onnxruntime_folder\r\nopencv and onnxruntime \".so\" files are inside the opencv_folder/build/lib and onnxruntime_folder/build/Linux/Release/ folders respectively.\r\n\r\nAlso did you set the ldd_library_path to frvt/11/lib and moved all the opencv libraries to that folder? If so then how did you edit the cmakelists.txt?", "Hey @rishidd11,\r\n\r\nIf you're facing the same issue as me, then this may help you.\r\n\r\nLD_LIBRARY_PATH is already set by NIST to point to the `frvt/11/lib` folder [as seen here](https://github.com/usnistgov/frvt/blob/b6b23da12b8d814d96a63e69179133e6972c20e2/11/run_validate_11.sh#L23), so I did not manually change it or make any changes to CMakeLists.txt for linking purposes. I do assume that libs are stored in the `frvt/11/lib` location and accordingly set my paths.\r\n\r\nInstead from the opencv_folder/build/lib (as in your case), I took all of the .so files and kept them inside the `frvt/11/lib` folders. That made my code work as expected.\r\n\r\nHope this helps.\r\n\r\nThanks,\r\nVinayak." ]

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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." ]

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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_libraries(nullImpl ${TORCH_LIBRARIES})\r\nset_property(TARGET nullImpl PROPERTY CXX_STANDARD 17)\r\n\r\nset (CMAKE_CXX_FLAGS \"${CMAKE_CXX_FLAGS} -std=c++17\")\r\ninclude_directories (${CMAKE_CURRENT_SOURCE_DIR}/../include ${CMAKE_CURRENT_SOURCE_DIR}/../../../common/src/include ${CMAKE_CURRENT_SOURCE_DIR}/../../lib/libtorch/include)\r\n\r\n# Configure built shared libraries in top-level lib directory\r\nset (CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/../../lib)\r\n\r\n# Build the shared libraries\r\nadd_library (frvt_11_VVTK_001 SHARED nullimplfrvt11.cpp)\r\ntarget_link_libraries(frvt_11_VVTK_001 ${TORCH_LIBRARIES})\r\n```" ]

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[ "Yes, you may include supplemental .so libraries in the same ./lib folder where your core library is located." ]

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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\n// Cast uint8_t back to float during match\r\nfloat *featureVector = (float *)enrollTemplate.data();\r\n \r\nCan you elaborate on what you mean by the values are incorrect when you use reinterpret_cast?", "Thanks! Above solution worked for me!" ]

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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 successfully go through all the validation process." ]

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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 time limited 40000 sec ? (Issue #114)\r\n\r\nenroll function in validate1N.cpp call createTemplate from list ppm in input file then write into edb file and manifest.\r\nmy createTemplate function, I created Feature Vector.\r\nand I used initializeIdentification func to read edb and manifest, init search algorithms when Search Initialization\r\nI think finalization is used to re-write edb and manifest.\r\n\r\n—\r\nReply to this email directly, view it on GitHub<https://github.com/usnistgov/frvt/issues/114>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ADVZFNLPKKDKPW63BJYY4ELYCIOTXAVCNFSM6AAAAAA6ZB3KI2VHI2DSMVQWIX3LMV43ASLTON2WKOZRHE3TEMBYGQ4DQOI>.\r\nYou are receiving this because you are subscribed to this thread.Message ID: ***@***.***>\r\n", "@paddygr \r\n\r\nCan you tell me why there is no result of 3M and 12M vector ? alttekglobal_000", "Accuracy is very poor; it’s not a good use of resources to run at large N.\r\n\r\nFrom: shritor ***@***.***>\r\nDate: Sunday, June 9, 2024 at 9:48 PM\r\nTo: usnistgov/frvt ***@***.***>\r\nCc: Grother, Patrick J. (Fed) ***@***.***>, Mention ***@***.***>\r\nSubject: Re: [usnistgov/frvt] why is Finalization function's time limited 40000 sec ? (Issue #114)\r\n\r\n@paddygr<https://github.com/paddygr>\r\nScreenshot.from.2024-06-05.11-27-59.png (view on web)<https://github.com/usnistgov/frvt/assets/149577702/e75a8fac-96e7-4e37-941c-26c2c73ec71a>\r\nCan you tell me why there is no result of 3M and 12M vector ? alttekglobal_000\r\n\r\n—\r\nReply to this email directly, view it on GitHub<https://github.com/usnistgov/frvt/issues/114#issuecomment-2157033832>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ADVZFNN2KAPINBRMOVJKLEDZGUAVBAVCNFSM6AAAAABJBMK5BKVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNJXGAZTGOBTGI>.\r\nYou are receiving this because you were mentioned.Message ID: ***@***.***>\r\n" ]

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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\r\nWhat are editable files?, util.h, util.cpp,validate11.cpp ?", "You implement whatever match you want, in your compiled library. You must not change the API. You cannot edit those files.\r\n\r\nFrom: Hoàng Bá Ý ***@***.***>\r\nDate: Monday, October 23, 2023 at 9:20 PM\r\nTo: usnistgov/frvt ***@***.***>\r\nCc: Subscribed ***@***.***>\r\nSubject: Re: [usnistgov/frvt] [FRVT 1:1] Can I edit the header file? (Issue #113)\r\n\r\nThanks for your answer, in file cpp, matching is random. Can I modify it.\r\n[Image removed by sender. Screenshot from 2023-10-24 08-15-49]<https://user-images.githubusercontent.com/55545444/277520535-cc8014f3-000b-4354-b6f3-d7199a5f53ae.png>\r\nWhat are editable files?, util.h, util.cpp,validate11.cpp ?\r\n\r\n—\r\nReply to this email directly, view it on GitHub<https://github.com/usnistgov/frvt/issues/113#issuecomment-1776312895>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ADVZFNJ4MBWQCZMGHTDRHNDYA4JVNAVCNFSM6AAAAAA6LOCC42VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTONZWGMYTEOBZGU>.\r\nYou are receiving this because you are subscribed to this thread.Message ID: ***@***.***>\r\n", "\r\nsome members ? can I add some attributes in nullimplfrvt11.h @mlngan @paddygr @yhbembedding " ]

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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 limited? (Issue #112)\r\n\r\nHi there,\r\n\r\nIn 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)?\r\n[https://user-images.githubusercontent.com/133086055/276111081-9875eba9-52a5-449e-97a1-2a8d797343dc.png]<https://user-images.githubusercontent.com/133086055/276111081-9875eba9-52a5-449e-97a1-2a8d797343dc.png>\r\n\r\nIn detail, which following is 1:N finalization time limited (mark with red box) represented?\r\n\r\nA. Feature extraction execution time (mark with blue box) + Enrolled database execution time (mark with green box)\r\n\r\nB. Only include enrolled database execution time (mark with green box)\r\n[https://user-images.githubusercontent.com/133086055/276111122-6932e77a-9136-4429-9bad-5faacad643c9.png]<https://user-images.githubusercontent.com/133086055/276111122-6932e77a-9136-4429-9bad-5faacad643c9.png>\r\n\r\n—\r\nReply to this email directly, view it on GitHub<https://github.com/usnistgov/frvt/issues/112>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ADVZFNOPF3GG4OCX44TCTYLX75XOZAVCNFSM6AAAAAA6E6D7K2VHI2DSMVQWIX3LMV43ASLTON2WKOZRHE2DQOJSGEYDIMA>.\r\nYou are receiving this because you are subscribed to this thread.Message ID: ***@***.***>\r\n", "Hi paddygr,\r\n\r\nI got it! Thanks for your response." ]

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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, we do have images which have more than one face in them right?\r\n\r\nThanks,\r\nVinayak.", "Yeah there is just one foreground face", "Hi @xsacha \r\n\r\nAgreed that there is one foreground face, but since we're not aware of which face is foreground or background, we can return M templates and then as mentioned in points 3 and 4 of section 4.4.4, matching could be done across all sets of enrollment and verification templates right?\r\n\r\nFor that we need to send multiple face templates per image and for that I was asking will we get more time or do we still have to abide to 1500 ms for getting the templates for all the faces from a single image?\r\n\r\nThanks,\r\nVinayak.", "We are only conducting formal timing runs on single-person (single template) images. While we are not enforcing timing limits for multi-person (multiple templates) images, please implement something sensible (e.g., 1500 ms * the number of faces detected would be OK).", "Thanks for the clarification @mlngan \r\n\r\nThis really helps!" ]

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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." ]

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[ "It has been corrected, please update the file and thank you." ]

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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 datasets?", "Yes. 1:1 and 1:N share a number of images in the validation set.", "> Yes. 1:1 and 1:N share a number of images in the validation set.\r\n\r\nThanks. And what about the _evaluation_ 1:N dataset? Should we expect rotated images there?", "We do not intend on testing with rotated images in the actual 1:N test." ]

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[ "fixed the issue and file is updated, thank you." ]

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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." ]

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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 helps." ]

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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 ***@***.***>\r\nSubject: [usnistgov/frvt] What kind of vector is in the template? 1:N (Issue #102)\r\n\r\nHi there,\r\n\r\nWhen createTemplate(TemplateRole=Enrollment_1N), the implementation will return a template to the calling application.\r\n\r\nI 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.\r\n\r\n[Image removed by sender.]<https://camo.githubusercontent.com/3ca920d1ec7bce0560c019b1465b782d8c384f2cdecb238e67c77556b444f8bd/68747470733a2f2f696d6775722e636f6d2f505a58624333692e706e67>\r\n\r\nBesides, 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.\r\n\r\n[Image removed by sender.]<https://camo.githubusercontent.com/dcf20b311188703d4941006761e76f94684dae44375932d1d61d1542e027b360/68747470733a2f2f696d6775722e636f6d2f58496f595637382e706e67>\r\n\r\n—\r\nReply to this email directly, view it on GitHub<https://github.com/usnistgov/frvt/issues/102>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ADVZFNNNN4T2HF7RABZ5BC3XUIHANANCNFSM6AAAAAA3IHVDJA>.\r\nYou are receiving this because you are subscribed to this thread.Message ID: ***@***.***>\r\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> &faces,\r\n FRVT::TemplateRole role,\r\n std::vector<uint8_t> &templ,\r\n std::vector<FRVT::EyePair> &eyeCoordinates)\r\n\r\n**Function B:** \r\nFRVT::ReturnStatus\r\n createFaceTemplate(\r\n const FRVT::Image &image,\r\n FRVT::TemplateRole role,\r\n std::vector<std::vector<uint8_t>> &templ,\r\n std::vector<FRVT::EyePair> &eyeCoordinates)\r\n", "Thanks for your reply!", "Look at the N values at the top of the columns here:\r\nhttps://pages.nist.gov/frvt/html/frvt1N.html\r\n\r\n\r\n\r\nFrom: LionLion888 ***@***.***>\r\nDate: Tuesday, August 8, 2023 at 2:16 AM\r\nTo: usnistgov/frvt ***@***.***>\r\nCc: Subscribed ***@***.***>\r\nSubject: Re: [usnistgov/frvt] How many images does search dataset have? 1:N (Issue #101)\r\n\r\nThanks for your reply!\r\n\r\n—\r\nReply to this email directly, view it on GitHub<https://github.com/usnistgov/frvt/issues/101#issuecomment-1668971736>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ADVZFNP5QKGF34KEOZMPDNTXUHKSRANCNFSM6AAAAAA3GXIAFQ>.\r\nYou are receiving this because you are subscribed to this thread.Message ID: ***@***.***>\r\n" ]

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[ "@mlngan can you please help me to solve this issue" ]

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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 nullimplfrvt11.cpp)\r\ntarget_link_libraries(frvt_11_null_001 thirdpartylib1.so thirdpartylib2.so thirdpartylib3.so)", "@mlngan \r\n Thank you for the above note. We are able to build the shared library using the above method and are able to run the demo code in this repo (but the catch is that we are **modifying** the **CMake build** system) both for the shared library generation and for the evaluation code. \r\n\r\nIn this case, can you let know how the final submission library would look like **libfrvt_11_null_001.so** and this is the library sent to NIST for FRVT evaluation. When we compile the library with dependecy libraries and use this library for evaluation without linking internal dep libs, the problem arises for undefined internal reference functions.\r\n\r\ni.e. **w/o** these lines in **CMAKE** for **validate_1N.cpp**, we get **undefined reference** to \"**fcn1 from lib1**\", etc. as the **compiler cannot find** these internal dep fcns. \r\n\r\n```\r\ninclude_directories($INCLUDE_DIR_LIB1, $INCLUDE_DIR_LIB2, $INCLUDE_DIR_LIB3) \r\ntarget_link_libraries($LIB1, $LIB2, $LIB3)\r\n```\r\n\r\nThe final .tar.gz file contains these folders from run_validate_1N.sh ([Link](https://github.com/usnistgov/frvt/blob/master/1N/run_validate_1N.sh), line 111) -> **doc, config, lib, validation**\r\n\r\n`tar -zcf $libstring.tar.gz ./doc ./config ./lib ./validation`\r\n\r\nPlease comment or elaborate on how the final submission would look like and if we are to add the include directories can we put it in a folder **include** and it to the above 4 folders **doc, config, lib, validation**\r\nwhile adding the $LIB1.so to **lib** folder. \r\n\r\nFRNinja123", "You should be putting it in the lib directory (where your tested library is) for simplification as that would ensure it gets put in the same place on the test system too.\r\nIf you're linking against the adjacent library (and looking in the current directory), it will also find it there.", "@xsacha and @mlngan \r\n Thank you for your support. We think we have the hang of it. This has more to do with how CMake Build systems works. Kindly close/delete the issue as this is solved. \r\n\r\nFRNinja123" ]

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[ "The Multiface structure has been removed from the null implementation." ]

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[ "Apologies for this - a fixed has been pushed." ]

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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！" ]

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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?", "@mlngan \r\nI didn't encounter the problem when run the provided null implementation.\r\nBut I don't get how my code and @pawani2v 's code can affect the script if we see that our programs terminate successfully.", "Sounds like a genuine problem in your implementation.\r\n\r\nCheck permissions of the folder.\r\nAlso make sure your app is resilient to a moved config directory, which is what that first test is.", "@xsacha, thanks for reply!\r\nBut how permissions of the folder can help in our situation?\r\nAnd what is the configuration folder? The folder where my models(and other config things) are supposed to be stored?", "From what I remember, the test makes the folder unreadable (permissions) and tests that you cope with this situation.\r\n\r\nThe folder you use should be the one that is provided to the API. You shouldn't hardcode the name. You should also respond with an appropriate error if you cannot access it. That's what this test is.\r\n\r\nIf your app crashed or otherwise failed due to not checking the folder, you might need to manually reset the permissions first.", "@xsacha thanks for responding, i don't think that the config folder is a issue since i am able to load models ( i can see it but putting print in my code). Also `CreateTemplate` runs for all test methods (again can confirm since i put print in it), and as i mentioned in the original question i have put a line `std::cout << \"Exiting with status \" << exitStatus << std::endl;` in `validate11.cpp` before return and it prints but then after it their is no response.", "@mlngan These are the error i get when i run the `provided null implementation` in virtual machine created using image provided by NIST, also it the same error i get on my machine.\r\n\r\n\r\n\r\n", "@pawani2v It appears that you've modified the validation script/source code. It would be a good idea to run the null implementation with the original, unmodified scripts/code. The expected order of tests and output should like look the below:\r\n\r\n------------------------------\r\n Running 1:1 validation\r\n------------------------------\r\nChecking for hard-coded config directory [SUCCESS]\r\nCreating Enrollment Templates (Single Process) [SUCCESS]\r\nCreating Enrollment Templates on Multiple Images per Subject (Single Process) [SUCCESS]\r\nCreating Enrollment Templates (Multiple Processes) [SUCCESS]\r\nCreating Verification Templates (Multiple Processes) [SUCCESS]\r\nMatching Templates (Multiple Processes) [SUCCESS]\r\nCreating Verification Templates for Multiple Persons Detected in an Image (Single Process) [SUCCESS]\r\nMatching Multi-person Templates (Single Process) [SUCCESS]\r\nSanity checking validation output [SUCCESS]\r\nCreating submission package [SUCCESS]\r\n", "I found the problem. I'm using ONNXInference and forgot to set IntraOpNumThreads to Ort::SessionOptions.\r\n\r\n`Ort::SesstionOptions options;`\r\n`options.SetIntraOpNumThreads(1);`\r\n`...`", "@RomanShnurov did you get it running after this change ?", "@pawani2v, yep, all tests were passed after this change." ]

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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? \r\nBest,\r\n/m", "That is correct." ]

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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::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&) (in face_001/2023_01_17/lib/libfrvt_pad_face_001.so)\r\n==1662818== by 0x1140B5: runPad(std::shared_ptr<FRVT_PAD::Interface>&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, Action) (in validation/pad/bin/validate_pad)\r\n==1662818== by 0x10F4C2: main (in validation/pad/bin/validate_pad)\r\n==1662818== Address 0x8 is not stack'd, malloc'd or (recently) free'd\r\n could some please help understand this error\r\n\r\n\r\nProcess terminating with default action of signal 11 (SIGSEGV)\r\n==1662818== Access not within mapped region at address 0x8\r\n==1662818== at 0x4EB1C5E: PyObject_GetAttrString (in /usr/lib/x86_64-linux-gnu/libpython3.8.so.1.0)\r\n\r\n" ]

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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." ]

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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-amd64.iso)\r\n\r\nI have the same problem specifically the GCC compiler.\r\n\r\nThe documentation states that GCC version is 9.3.0\r\n\r\nwhile it is 9.4.0 after running install_packages.sh \r\n\r\nThere are multiple packages that have the same issue.\r\n\r\nShould I wait for modification? or package my library and submit with the default installed library?\r\n\r\nI appreciate your help @mlngan \r\n\r\n\r\n", "Please go ahead and run/validate with the default installed libraries. The original approach to fixing install_packages.sh is getting a bit more complicated than we originally thought. We will keep this issue open and try to come up with a reasonable solution." ]

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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 inference without recompiling OpenVINO?", "I recompile all the frameworks anyway but they should have a method without doing so.\r\nUsually it is based on the internal threading library they use (TBB, etc) rather than the inferencing framework itself. Being an Intel framework, I'd assume it is TBB so you can just call, off the top of my head:\r\n```C++\r\n#include <tbb/global_control.h>\r\n\r\n...\r\n\r\ntbb::global_control MAX_THREADS(tbb::global_control::max_allowed_parallelism, 1);\r\n```", "> I recompile all the frameworks anyway but they should have a method without doing so.\r\n\r\nIt seems that they do. Going over the IE c++ api, you can specify how many threads the OpenVINO CPU Plugin (aka MKLDNN) can use for inference, among others: https://docs.openvino.ai/2021.1/openvino_docs_IE_DG_supported_plugins_CPU.html\r\n\r\nAfter reading that page until the end, you can find the suggested combination of parameters for single thread inference:\r\n\r\n> **NOTE:** To disable all internal threading, use the following set of configuration parameters: KEY_CPU_THROUGHPUT_STREAMS=0, KEY_CPU_THREADS_NUM=1, KEY_CPU_BIND_THREAD=NO.\r\n\r\nAccording to my stack tracing on the validation binary, it seems I got OpenVINO multi threads out of the way now, but I seem to have found that Boost and OpenBLAS are also creating threads at some point. Luckily, for the PAD implementation, I can remove the OpenBLAS dependency entirely, so that is solved. But I am still looking on how to force boost to run on a single thread.\r\n", "Which part of boost is using threads for you? Normally you'd have to explicitly call some boost function that is asynchronous. There's usually a synchronous version.", "> Which part of boost is using threads for you? Normally you'd have to explicitly call some boost function that is asynchronous. There's usually a synchronous version.\r\n\r\nOh I see now. We are explicitly creating threads with ```boost::asio::thread_pool threadPool(std::thread::hardware_concurrency());``` at model initialization.\r\n\r\n" ]

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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\")" ]

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[ "Some of our unconstrained, non-cooperative datasets can contain images with large pose variations." ]

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