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{ "login": "ElisonSherton", "id": 45599762, "node_id": "MDQ6VXNlcjQ1NTk5NzYy", "avatar_url": "https://avatars.githubusercontent.com/u/45599762?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ElisonSherton", "html_url": "https://github.com/ElisonSherton", "followers_url": "https://api.github.com/users/ElisonSherton/followers", "following_url": "https://api.github.com/users/ElisonSherton/following{/other_user}", "gists_url": "https://api.github.com/users/ElisonSherton/gists{/gist_id}", "starred_url": "https://api.github.com/users/ElisonSherton/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/ElisonSherton/subscriptions", "organizations_url": "https://api.github.com/users/ElisonSherton/orgs", "repos_url": "https://api.github.com/users/ElisonSherton/repos", "events_url": "https://api.github.com/users/ElisonSherton/events{/privacy}", "received_events_url": "https://api.github.com/users/ElisonSherton/received_events", "type": "User", "site_admin": false }

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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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{ "login": "ElisonSherton", "id": 45599762, "node_id": "MDQ6VXNlcjQ1NTk5NzYy", "avatar_url": "https://avatars.githubusercontent.com/u/45599762?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ElisonSherton", "html_url": "https://github.com/ElisonSherton", "followers_url": "https://api.github.com/users/ElisonSherton/followers", "following_url": "https://api.github.com/users/ElisonSherton/following{/other_user}", "gists_url": "https://api.github.com/users/ElisonSherton/gists{/gist_id}", "starred_url": "https://api.github.com/users/ElisonSherton/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/ElisonSherton/subscriptions", "organizations_url": "https://api.github.com/users/ElisonSherton/orgs", "repos_url": "https://api.github.com/users/ElisonSherton/repos", "events_url": "https://api.github.com/users/ElisonSherton/events{/privacy}", "received_events_url": "https://api.github.com/users/ElisonSherton/received_events", "type": "User", "site_admin": false }

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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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[ "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 files in the ./config folder in order to run my validation.\r\n\r\nAnother clarification: When I compile my codes with ./scripts/build_null_impl.sh, should my python3.8_libraries (directory) be already in the /lib folder? Because I only added it in after completion. Initially the python libraries should be called from my local directory. ", "Well it measures the size of the config directory as your model size so it assumes your models go there. However, you could just as easily put them inside your libs.\r\n\r\nPutting your libs in after will be fine but remember to test it.", "During test time by FRVT when I have sent my tar.gz file over, would the .so file be run automatically based on the python libraries and models already in the ./lib folder? Would there be any manual adjustments on these files to different directories, or Python installation made by NIST personnel? \r\n\r\nI am asking because I understand that in the test environment Python would not have been installed. I am not sure how would it be set up and tested, and I hope my submission works in the NIST environment.", "Imagine they run:\r\nLD_LIBRARY_PATH=/path/to/submission/lib testApp\r\n\r\nYou should be able to test this yourself in a VM (not the one you used to build) using the script that is run during the submission file creation.\r\n\r\nIf this isn't coming across right, an easy alternative is: just create the submission on a clean VM \r\n\r\nThey mention what OS image is used in the API document. Assume a clean install of that ISO.", "You will need to set any Python-related environment variables (e.g., PYTHONPATH, etc.) internally within your code. Consider putting your Python libraries in the configuration directory, which is passed in as a parameter to initialize(). If you want to put your python libraries in ./lib, you may assume that ./lib and ./config are at the same level (i.e., you can access ./lib via configDir/../lib.", "I am understanding that LD_LIBRARY_PATH is for directories containing .so files, hence I should only be putting my libpython38.so etc files into the ./lib folder.\r\n\r\nAs for installed Python packages (pip install etc), I should be setting the PYTHONPATH variable. My question would be: where can I insert 'export PYTHONPATH'? Is it possible to edit `run_validate_11.sh`? But the submission package does not include `run_validate_11.sh` right?\r\n\r\nOr perhaps can I edit the codes in `nullimplfrvt11.cpp` to include:\r\n```\r\n Py_Initialize();\r\n PyRun_SimpleString(\"import sys\");\r\n PyRun_SimpleString(\"sys.path.append(\"/Path/to/Python/Package/in/config\");\r\n```\r\nThanks for your assistance!", "You can run this code inside your library implementation.", "I understand that Ubuntu 20.04.3 LTS comes with the Python 3.8 installed. Can I assume that NIST test environment also uses a clean Ubuntu 20.04.3 LTS with Python 3.8 installed? ", "Yes, you may assume that Python 3.8 is installed in our test environment.", "I need to:\r\n```\r\n`export PYTHONPATH=$(pwd)/lib/python3.8_libraries`\r\n`export TORCH_HUB=$(pwd)/lib/python3.8_libraries`\r\n```\r\n\r\nBut when I run:\r\n```\r\nNullImplFRVT11::initialize(const std::string &configDir)\r\n{\r\n Py_Initialize();\r\n PyRun_SimpleString(\"import os\");\r\n PyRun_SimpleString(\"os.system('export PYTHONPATH=$(pwd)/lib/python3.8_libraries')\");\r\n PyRun_SimpleString(\"os.system('export TORCH_HUB=$(pwd)/lib/python3.8_libraries')\");\r\n\r\n return ReturnStatus(ReturnCode::Success);\r\n}\r\n```\r\n\r\nIt does not work. What is the exact codes I can run to export PYTHONPATH and TORCH_HUB from nullimplfrvt11.cpp?\r\n\r\nThank you!\r\n", "It's probably just due to your $(pwd) being different than you expect.\r\nThe config dir sounds like a more reasonable location, since that is passed in directly to the initialize function.\r\n\r\nWhat happens if you use:\r\n\r\n```C++\r\n#include <dlfcn.h>\r\n\r\nstd::string GetMyPath()\r\n{\r\n Dl_info dl_info;\r\n dladdr((void *)GetMyPath, &dl_info);\r\n return dl_info.dli_fname;\r\n}\r\nReturnStatus NullImplFRVT11::initialize(const std::string &configDir)\r\n{\r\n // Acquire path\r\n auto path = GetMyPath();\r\n auto pythonPath = path.substr(0, path.find_last_of('/') + 1) + \"python3.8_libraries\";\r\n // Set global vars, which will be inherited by forked processes\r\n setenv(\"PYTHONPATH\", pythonPath.c_str(), 1);\r\n setenv(\"TORCH_HUB\", pythonPath.c_str(), 1);\r\n\r\n return ReturnStatus(ReturnCode::Success);\r\n}\r\n```", "Hi @xsacha, I have tried this and it does not work. \r\n\r\nTypically I just do:\r\n\r\n```\r\n`export PYTHONPATH=$(pwd)/lib/python3.8_libraries`\r\n`export TORCH_HUB=$(pwd)/lib/python3.8_libraries`\r\n```\r\nIn the run_validate_11.sh file.\r\n\r\n\r\nBut @mlngan said this is not allowed for submission\r\n", "Yeah it wouldn't make sense for them to modify their environment for specific users.\r\n\r\nHow about printing out the location you get from $(pwd)/lib/python3.8_libraries to ensure it is what you expect.\r\n\r\nKeep in mind that might not work in NISTs tests because they could run it from any directory they want -- hence the configDir being provided.\r\n\r\nThe code I posted above works fine for me but I am not using Python so it's possible the Python environment has already been set up somewhere in your code with a different environment.", "printing $(pwd)/lib/python3.8_libraries does point to frvt/11/lib/python3.8_libraries, also even from the nullimplfrvt11.cpp file.\r\n\r\nThe strange thing is that when I insert \r\n```\r\n`export PYTHONPATH=$(pwd)/lib/python3.8_libraries`\r\n`export TORCH_HUB=$(pwd)/lib/python3.8_libraries`\r\n```\r\nIn the ~/.bashrc file, the code does not work. BUT when I insert the code in the run_validate_11.sh file, it works!", "For the bashrc file, you have to load a new bash shell for it to get that file to run and it is only set within that shell. Just like running export, it isn't a workable solution here.\r\n\r\nFor the Python code you were running:\r\n```C++\r\n PyRun_SimpleString(\"os.system('export PYTHONPATH=$(pwd)/lib/python3.8_libraries')\");\r\n```\r\nthis runs the code in a separate shell (outside of your application), so it won't affect the environment of your C++ or Python NIST process whatsoever.\r\n\r\nAs for why the code I posted didn't work: unsure. It is working on my machine :) Only thing I can think of is to make sure it is run before you run PyInitialize, in case that is preserving current env and make sure path is right.", "By the way for your codes posted just now, are u assuming that my python3.8_libraries are in the config directory or the lib directory? More specifically,\r\n\r\n`auto pythonPath = path + \"/python3.8_libraries\";`\r\n\r\nor\r\n\r\n`auto pythonPath = path + \"/lib/python3.8_libraries\";`\r\n\r\nThank you!\r\n", "It's probably easier if they are in config, but I am assuming they are in lib.\r\nYou can print out path to check which directory it is:\r\n`printf(\"%s\\n\", path.c_str());`", "printf(\"%s\\n\", path.c_str()) gives me:\r\n\r\n/Documents/frvt/11/lib/libfrvt_11_COMPANY_000.so\r\n\r\nI think it should point to /Documents/frvt/11/lib instead right?", "Yes, sorry.\r\n\r\nYou can use:\r\nauto pythonPath = path.substr(0, path.find_last_of('/') + 1) + \"python3.8_libraries\";", "Thank you so much! <3 It worked beautifully!", "No problems. If you put the libraries in the 'config' path instead, you can ditch that whole GetMyPath() and just put in:\r\nauto pythonPath = configDir + \"/python3.8_libraries\";\r\n\r\nThat's the suggested method from NIST and why they provide that path.", "I realized I have been using Ubuntu-20.04.3 Desktop installed from the Ubuntu archives instead of https://nigos.nist.gov/evaluations/ubuntu-20.04.3-live-server-amd64.iso when I ran my tests, hence I ran into some issues during submissions with testing over at NIST side.\r\n\r\nDuring NIST import of openCV, i encountered this error:\r\n\r\n```\r\nTraceback (most recent call last):\r\n File autentika_000/lib/python3.8_libraries/extract_template.py\", line 1, in <module> import cv2\r\n File autentika_000/lib/python3.8_libraries/cv2/__init__.py\", line 181, in <module> bootstrap()\r\n File autentika_000/lib/python3.8_libraries/cv2/__init__.py\", line 153, in bootstrap native_module = importlib.import_module(\"cv2\")\r\n File autentika_000/lib/python3.8_libraries/importlib/__init__.py\", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level)\r\nImportError: libGL.so.1: cannot open shared object file: No such file or directory\r\n```\r\n\r\nThe libGL.so.1 is located in the /usr/lib/x86_64-linux-gnu directory in my Ubuntu Desktop.\r\n\r\nHow can I move it to the /lib/python3.8_libraries directory, and have the import of libGL.so.1 detected? Does this do the trick:\r\n\r\n`setenv(\"PATH\", pythonPath.c_str(), 1);`\r\n\r\n\r\n", "You want \"LD_LIBRARY_PATH\"\r\n\r\nI guess this is a pre-compiled OpenCV? You would want an OpenCV compiled without OpenGL or image loading normally. You won't be using any of that.", "Basically my python OpenCV libraries are all located in /lib/python3.8_libraries directory. Apparently i need libGL.so.1 to import python OpenCV", "setenv( \"LD_LIBRARY_PATH\", pythonPath.c_str(), 1); did not work\r\n\r\nThe system is still looking for the libGL.so.1 file in the /usr/lib/x86_64-linux-gnu directory", "I have also tried to edit the CMakeLists.txt\r\n\r\n```\r\n# Build the shared libraries\r\nset (CMAKE_SHARED_LINKER_FLAGS \"-Wl,-rpath,$ORIGIN\")\r\nadd_library (frvt_11_autentika_000 SHARED nullimplfrvt11.cpp)\r\ntarget_link_libraries (frvt_11_autentika_000 libpython3.8.so libGL.so.1)\r\n```\r\n\r\nBut i got the error during compilation:\r\n\r\n```\r\n/usr/bin/ld: cannot find -lGL\r\ncollect2: error: ld returned 1 exit status\r\n```\r\n\r\nHow can I linked the shared object files in the /lib directory? ", "Are you sure it's just libGL it's looking for? I just installed opencv-python package and noticed it has a *massive* amount of dependent libraries I can see in: site-packages/opencv_python.libs/. It has been compiled to include absolutely everything including GUI (which provided Qt on mine).\r\n\r\nIf the dependency comes from there, it should probably be enough to stick all of the missing ones in there along with them.\r\n\r\nOn mine, the dependencies on a single Qt lib provided with opencv-python:\r\n\r\n> ~/.local/lib/python3.10/site-packages/opencv_python.libs/libQt5XcbQpa-c112ba75.so.5.15.0:\r\n> linux-vdso.so.1 (0x00007ffdefd2e000)\r\n> libpng16-57e5e0a0.so.16.37.0 => not found\r\n> libz.so.1 => /lib/x86_64-linux-gnu/libz.so.1 (0x00007f34e7b32000)\r\n> libGL.so.1 => /lib/x86_64-linux-gnu/libGL.so.1 (0x00007f34e7aab000)\r\n> libQt5Gui-48e93776.so.5.15.0 => not found\r\n> libQt5Core-39545cc7.so.5.15.0 => not found\r\n> libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f34e7aa4000)\r\n> libX11-xcb-69166bdf.so.1.0.0 => not found\r\n> libxcb-icccm-413c9f41.so.4.0.0 => not found\r\n> libxcb-image-e82a276d.so.0.0.0 => not found\r\n> libxcb-shm-7a199f70.so.0.0.0 => not found\r\n> libxcb-keysyms-21015570.so.1.0.0 => not found\r\n> libxcb-randr-a96a5a87.so.0.1.0 => not found\r\n> libxcb-render-util-43ce00f5.so.0.0.0 => not found\r\n> libxcb-render-637b984a.so.0.0.0 => not found\r\n> libxcb-shape-25c2b258.so.0.0.0 => not found\r\n> libxcb-sync-89374f40.so.1.0.0 => not found\r\n> libxcb-xfixes-9be3ba6f.so.0.0.0 => not found\r\n> libxcb-xinerama-ae147f87.so.0.0.0 => not found\r\n> libxcb-xkb-9ba31ab3.so.1.0.0 => not found\r\n> libxcb.so.1 => /lib/x86_64-linux-gnu/libxcb.so.1 (0x00007f34e7a76000)\r\n> libXext.so.6 => /lib/x86_64-linux-gnu/libXext.so.6 (0x00007f34e7a5f000)\r\n> libX11.so.6 => /lib/x86_64-linux-gnu/libX11.so.6 (0x00007f34e791f000)\r\n> libSM.so.6 => /lib/x86_64-linux-gnu/libSM.so.6 (0x00007f34e7914000)\r\n> libICE.so.6 => /lib/x86_64-linux-gnu/libICE.so.6 (0x00007f34e78f7000)\r\n> libxkbcommon-x11-c65ed502.so.0.0.0 => not found\r\n> libxkbcommon-71ae2972.so.0.0.0 => not found\r\n> ...\r\n\r\nI realise this is very painful going through Python. Tip to anyone else trying this: just use C++ :)", "Instead of Python OpenCV, do you think I can use skimage or PIL to process images?", "Sure, I recommend PIL if that works for you. It won't draw in the ~100 .so files that OpenCV does.\r\n\r\nSince you aren't opening images or converting them (provided for you as bytes), you could probably get away with just numpy." ]

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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% in validation\r\n[v8.txt](https://github.com/usnistgov/frvt/files/9920710/v8.txt)\r\n" ]

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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 float* rather than float** and are trying to cast it incorrectly.\r\n\r\nThese questions do not belong here. They aren't related to FRVT." ]

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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 operating system that the submitted implementations shall run on is released as a downloadable file accessible from https://nigos.nist.gov/evaluations/ubuntu-20.04.3-live-server-amd64.iso, which indeed is the 64-bit version of Ubuntu 20.04.3 LTS (Focal Fossa).", "This is an older issue but I think it is still relevant. Using an iso file is much less convenient than using a docker image in CI/CD systems like jenkins, that are frequently used to automatically build and test releases. \r\nGiven that it the OS requirement is quite specific and not the most recent LTS release of Ubuntu 20, it is quite hard to find something that works. ", "I use [this](https://hub.docker.com/r/swathip2021/myubuntu) image in the first line of my Dockerfile.\r\n```\r\nFROM swathip2021/myubuntu:20.04 AS ubuntu\r\n```" ]

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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 FRVT::TemplateRole role,\r\n std::vector<std::vector<uint8_t>> &templs,\r\n std::vector<FRVT::EyePair> &eyeCoordinates)\r\n{\r\n int numFaces = rand() % 4 + 1;\r\n for (int i = 1; i <= numFaces; i++) {\r\n std::vector<uint8_t> templ;\r\n /* Note: example code, potentially not portable across machines. */\r\n std::vector<float> fv = {1.0, 2.0, 8.88, 765.88989};\r\n /* Multiply vector values by scalar */\r\n for_each(fv.begin(), fv.end(), [i](float &f){ f *= i; });\r\n const uint8_t* bytes = reinterpret_cast<const uint8_t*>(fv.data());\r\n int dataSize = sizeof(float) * fv.size();\r\n templ.resize(dataSize);\r\n memcpy(templ.data(), bytes, dataSize);\r\n templs.push_back(templ);\r\n\r\n eyeCoordinates.push_back(EyePair(true, true, i, i, i+1, i+1));\r\n } \r\n \r\n return ReturnStatus(ReturnCode::Success);\r\n}\r\n```\r\nIs it necessary to return multiple templates for a given image of more than one faces? Can I not populate this? Or perhaps return only the template of the largest face?\r\n\r\nAppreciate the clarification :)\r\n\r\n\r\n", "@tanpengshi You should read the requirements here https://pages.nist.gov/frvt/api/FRVT_ongoing_11_api.pdf. \r\nThere are 2 templates: the first is a template with input Multiface (each image contains only a face and the same face of a person) You can return the largest face if your detector detects the number of faces > 1. The second is a template with input only an image (can contain one or more faces), you must return all faces for that.", "Can we also assume images at test time are either greyscale (1 channel) or RGB channels?", "Images used in the evaluation will either be 8-bit grayscale (1 channel) or 24-bit (3 channels) color." ]

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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." ]

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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 failed\", and the matcher must transparently handle this. A template may have length zero bytes as long as your matcher handles it." ]

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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?" ]

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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 reduced FNMR – this can occur because in a genuine comparison of say an image with 1 face present with another image with 2 faces present, detection of the correct mated person was not guaranteed before we changed the API. With the new API, one of the two faces should score highly. We take largest score over those produced in comparing K1 templates from image 1 with K2 templates from image 2, i.e. max of K1 * K2 scores. We do this for mated **and** non-mated comparisons." ]

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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): undefined reference to `FRVT::FRVT_STRUCTS_MAJOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0xfaf): undefined reference to `FRVT::FRVT_STRUCTS_MINOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0xfd9): undefined reference to `FRVT::FRVT_STRUCTS_MAJOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0xfff): undefined reference to `FRVT::FRVT_STRUCTS_MINOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0x1087): undefined reference to `FRVT_MORPH::API_MAJOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0x1097): undefined reference to `FRVT_MORPH::API_MINOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0x10c1): undefined reference to `FRVT_MORPH::API_MAJOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0x10e7): undefined reference to `FRVT_MORPH::API_MINOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0x17b2): undefined reference to `FRVT_MORPH::Interface::getImplementation()'\r\ncollect2: error: ld returned 1 exit status\r\nmake[2]: *** [CMakeFiles/validate_morph.dir/build.make:99: ../bin/validate_morph] Error 1\r\nmake[1]: *** [CMakeFiles/Makefile2:76: CMakeFiles/validate_morph.dir/all] Error 2\r\nmake: *** [Makefile:84: all] Error 2\r\nsms@sms:~/Downloads/morph/src/testdriver_wvu/build4$ \r\n\r\n\r\nCan anyone give me the solution of this two error in the new FRVT?\r\n", "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_morph.sh?", "I do not get any error in null implementation (./scripts/build_null_impl.sh).", "Can you confirm that your implementation library was compiled and built on Ubuntu? Can you also confirm that you **DO NOT** have \"-DNIST_EXTERN_FRVT_STRUCTS_VERSION -DNIST_EXTERN_API_VERSION\" included in the CMakeLists.txt/Makefile that you built your library with?", "I have implemented into Ubuntu 20.04.3. I do not have \"-DNIST_EXTERN_FRVT_STRUCTS_VERSION -DNIST_EXTERN_API_VERSION\" those flags.", "After building the null implementation, did you run ./run_validate_morph.sh to confirm there were no errors with linking against the validation testdriver?", "After Null implementation I have run ./run_validate_morph.sh but there have no issue and no error.\r\nMoreover,\r\n./src/testdriver/ when i build through cmake and make 2 errors occur always.\r\n", "sms@sms:~/Downloads/frvt-master_23March/morph/src/testdriver/build$ cmake ..\r\nsms@sms:~/Downloads/frvt-master_23March/morph/src/testdriver/build$ make\r\n\r\nI have not change any code of frvt into Ubuntu 20.04.3 . I just want to build test driver and got same error. That is\r\n\r\nsms@sms:~/Downloads/frvt-master_23March/morph/src/testdriver/build$ make\r\nScanning dependencies of target validate_morph\r\n[ 33%] Building CXX object CMakeFiles/validate_morph.dir/home/sms/Downloads/frvt-master_23March/common/src/util/util.o\r\n[ 66%] Building CXX object CMakeFiles/validate_morph.dir/validate_morph.o\r\n[100%] Linking CXX executable ../bin/validate_morph\r\n/usr/bin/ld: CMakeFiles/validate_morph.dir/validate_morph.o: in function `main':\r\nvalidate_morph.cpp:(.text+0xf9f): undefined reference to `FRVT::FRVT_STRUCTS_MAJOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0xfaf): undefined reference to `FRVT::FRVT_STRUCTS_MINOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0xfd9): undefined reference to `FRVT::FRVT_STRUCTS_MAJOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0xfff): undefined reference to `FRVT::FRVT_STRUCTS_MINOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0x1087): undefined reference to `FRVT_MORPH::API_MAJOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0x1097): undefined reference to `FRVT_MORPH::API_MINOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0x10c1): undefined reference to `FRVT_MORPH::API_MAJOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0x10e7): undefined reference to `FRVT_MORPH::API_MINOR_VERSION'\r\n/usr/bin/ld: validate_morph.cpp:(.text+0x17b2): undefined reference to `FRVT_MORPH::Interface::getImplementation()'\r\ncollect2: error: ld returned 1 exit status\r\nmake[2]: *** [CMakeFiles/validate_morph.dir/build.make:99: ../bin/validate_morph] Error 1\r\nmake[1]: *** [CMakeFiles/Makefile2:76: CMakeFiles/validate_morph.dir/all] Error 2\r\nmake: *** [Makefile:84: all] Error 2\r\n\r\n\r\nCan I try to packaging the FRVT (old version) into CentOS because of Ubuntu 20.04.3 provide that issue.Please, Solve this issue,it is very urgent because we (WVU team) will submit the new FRVT encrypted package to NIST. \r\nThanks\r\n", "Ok, I think I see what your issue is. You can't just go into the ./src/testdriver directory and build the testdriver directly. There is a variable called FRVT_IMPL_LIB that needs to be set in order to know what implementation library to link to. Please follow the instructions from the ./README.md file. You need to place your implementation library in ./lib and then run run_validate_morph.sh, which will set up all necessary variables and paths.", "I will follow the steps that you say and ./README.md file depicts. Thanks for your kind reply.", "I am able to run run_validate_morph.sh (with this: libfrvt_morph_wvu_001.so in library) into CentOS . But new FRVT with Ubuntu causes 2 error for running run_validate_morph.sh .\r\n**Does NIST allow to previous version of FRVT with CentOS. That will be easy for me to compile and packaging the software.**\r\nThe generated shared object (.so file) causes the problem in Ubuntu. But that shared object (libfrvt_morph_wvu_001.so) able to compile in the previous version of FRVT (operating system is CentOS). \r\nThanks. ", "Can you confirm that your libfrvt_morph_wvu_001.so file was compiled and built on Ubuntu? What are the errors that you're encountering when running on Ubuntu?", "Yes. \r\nlibfrvt_morph_wvu_001.so causes the error. When I put libfrvt_morph_null_001.so there have no error. Moreover I have compiled libfrvt_morph_wvu_001.so into the ubuntu. (Also I have checked previous version of libfrvt_morph_wvu_001.so too. ) But facing the same problem for libfrvt_morph_wvu_001.so in Ubuntu. \r\nBut when I switch to CentOS with our previous libfrvt_morph_wvu_001.so it compiled easily. **Can we are allowed to package our software through previous FRVT with CentOS for NIST submission?**", "Can you please provide the exact error messages that you are seeing when you run ./run_validate_morph.sh on Ubuntu?", "Thanks for your kind reply.\r\n`sms@sms:~/Downloads/frvt-master_24_march/morph$ ./run_validate_morph.sh\r\nChecking installation of required packages [SUCCESS]\r\nLooking for core implementation library in /home/sms/Downloads/frvt-master_24_march/morph/lib.[SUCCESS] Found core implementation library /home/sms/Downloads/frvt-master_24_march/morph/lib/libfrvt_morph_wvu_001.so.\r\nAttempting to compile and link /home/sms/Downloads/frvt-master_24_march/morph/lib/libfrvt_morph_wvu_001.so against test harness.\r\nScanning dependencies of target validate_morph\r\n[ 33%] Building CXX object src/testdriver/CMakeFiles/validate_morph.dir/home/sms/Downloads/frvt-master_24_march/common/src/util/util.cpp.o\r\n[ 66%] Building CXX object src/testdriver/CMakeFiles/validate_morph.dir/validate_morph.cpp.o\r\n[100%] Linking CXX executable ../../../bin/validate_morph\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libc10.so: .dynsym local symbol at index 138 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libc10.so: .dynsym local symbol at index 140 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 149 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 227 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 252 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 291 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 574 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 625 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 739 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 742 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 743 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 747 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 748 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 749 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 750 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 779 (>= sh_info of 2)\r\n/usr/bin/ld: /home/sms/Downloads/libtorch/lib/libtorch_cpu.so: .dynsym local symbol at index 785 (>= sh_info of 2)\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `at::_ops::view::call(at::Tensor const&, c10::ArrayRef<long>)'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `at::_ops::div_Scalar::call(at::Tensor const&, c10::Scalar const&)'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `torch::jit::Method::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, c10::IValue, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<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> > const, c10::IValue> > > const&) const'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `at::_ops::full::call(c10::ArrayRef<long>, c10::Scalar const&, c10::optional<c10::ScalarType>, c10::optional<c10::Layout>, c10::optional<c10::Device>, c10::optional<bool>)'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `at::TensorBase::__dispatch_contiguous(c10::MemoryFormat) const'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `at::_ops::select_int::call(at::Tensor const&, long, long)'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `at::_ops::to_dtype::call(at::Tensor const&, c10::ScalarType, bool, bool, c10::optional<c10::MemoryFormat>)'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `at::_ops::permute::call(at::Tensor const&, c10::ArrayRef<long>)'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `vtable for torch::jit::Method'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `at::_ops::copy_::call(at::Tensor&, at::Tensor const&, bool)'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `at::_ops::sub_Scalar::call(at::Tensor const&, c10::Scalar const&, c10::Scalar const&)'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `at::_ops::softmax_int::call(at::Tensor const&, long, c10::optional<c10::ScalarType>)'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `at::_ops::clone::call(at::Tensor const&, c10::optional<c10::MemoryFormat>)'\r\ncollect2: error: ld returned 1 exit status\r\nmake[2]: *** [src/testdriver/CMakeFiles/validate_morph.dir/build.make:100: ../bin/validate_morph] Error 1\r\nmake[1]: *** [CMakeFiles/Makefile2:94: src/testdriver/CMakeFiles/validate_morph.dir/all] Error 2\r\nmake: *** [Makefile:84: all] Error 2\r\n[ERROR] There were errors during compilation of your library with the validation test harness. Please investigate and re-compile.\r\nsms@sms:~/Downloads/frvt-master_24_march/morph$ \r\n", "Your errors appear to be related to the version of libtorch that you're linking to may have been compiled with an older compiler - https://github.com/pytorch/pytorch/issues/13541. Have you tried installing a new version of libtorch that's compatible with g++ 9.x or tried re-compiling torch with -D_GLIBCXX_USE_CXX11_ABI=0?", "I have changed Libtorch also opencv (new version) but there are 2 errors\r\n```\r\nsms@sms:~/Downloads/frvt-master_24_march/morph$ ./run_validate_morph.sh\r\nChecking installation of required packages [SUCCESS]\r\nLooking for core implementation library in /home/sms/Downloads/frvt-master_24_march/morph/lib.[SUCCESS] Found core implementation library /home/sms/Downloads/frvt-master_24_march/morph/lib/libfrvt_morph_wvu_001.so.\r\nAttempting to compile and link /home/sms/Downloads/frvt-master_24_march/morph/lib/libfrvt_morph_wvu_001.so against test harness.\r\nScanning dependencies of target validate_morph\r\n[ 33%] Building CXX object src/testdriver/CMakeFiles/validate_morph.dir/home/sms/Downloads/frvt-master_24_march/common/src/util/util.cpp.o\r\n[ 66%] Building CXX object src/testdriver/CMakeFiles/validate_morph.dir/validate_morph.cpp.o\r\n[100%] Linking CXX executable ../../../bin/validate_morph\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `cv::dnn::dnn4_v20200310::Net::setInput(cv::_InputArray const&, std::string const&, double, cv::Scalar_<double> const&)'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `cv::dnn::dnn4_v20200310::Net::forward(cv::_OutputArray const&, std::vector<std::string, std::allocator<std::string> > const&)'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `cv::dnn::dnn4_v20200310::readNetFromCaffe(std::string const&, std::string const&)'\r\ncollect2: error: ld returned 1 exit status\r\nmake[2]: *** [src/testdriver/CMakeFiles/validate_morph.dir/build.make:100: ../bin/validate_morph] Error 1\r\nmake[1]: *** [CMakeFiles/Makefile2:94: src/testdriver/CMakeFiles/validate_morph.dir/all] Error 2\r\nmake: *** [Makefile:84: all] Error 2\r\n[ERROR] There were errors during compilation of your library with the validation test harness. Please investigate and re-compile.\r\nsms@sms:~/Downloads/frvt-master_24_march/morph$ \r\n\r\n```\r\n", "Could you please solve the above error?", "@ShoaibMerajSami this looks like an error on your side. It is missing symbols from OpenCV DNN lib", "Thanks @xsacha . I have tried to solve this issue, so, I have install opencv 4.5.3 from source then I have added the opencv path into the cmake. But there remain 2 error. How can I solve this error. Could you give me yours valuable suggestion for solve OpenCV DNN lib issue?\r\nThe error is:\r\n```\r\nsms@sms:~/Downloads/frvt-master_24_march/morph$ ./run_validate_morph.sh\r\nChecking installation of required packages [SUCCESS]\r\nLooking for core implementation library in /home/sms/Downloads/frvt-master_24_march/morph/lib.[SUCCESS] Found core implementation library /home/sms/Downloads/frvt-master_24_march/morph/lib/libfrvt_morph_wvu_001.so.\r\nAttempting to compile and link /home/sms/Downloads/frvt-master_24_march/morph/lib/libfrvt_morph_wvu_001.so against test harness.\r\nScanning dependencies of target validate_morph\r\n[ 33%] Building CXX object src/testdriver/CMakeFiles/validate_morph.dir/home/sms/Downloads/frvt-master_24_march/common/src/util/util.cpp.o\r\n[ 66%] Building CXX object src/testdriver/CMakeFiles/validate_morph.dir/validate_morph.cpp.o\r\n[100%] Linking CXX executable ../../../bin/validate_morph\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `cv::dnn::dnn4_v20210608::Net::forward(cv::_OutputArray const&, std::vector<std::string, std::allocator<std::string> > const&)'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `cv::dnn::dnn4_v20210608::Net::setInput(cv::_InputArray const&, std::string const&, double, cv::Scalar_<double> const&)'\r\n/usr/bin/ld: ../../../lib/libfrvt_morph_wvu_001.so: undefined reference to `cv::dnn::dnn4_v20210608::readNetFromCaffe(std::string const&, std::string const&)'\r\ncollect2: error: ld returned 1 exit status\r\nmake[2]: *** [src/testdriver/CMakeFiles/validate_morph.dir/build.make:100: ../bin/validate_morph] Error 1\r\nmake[1]: *** [CMakeFiles/Makefile2:94: src/testdriver/CMakeFiles/validate_morph.dir/all] Error 2\r\nmake: *** [Makefile:84: all] Error 2\r\n[ERROR] There were errors during compilation of your library with the validation test harness. Please investigate and re-compile.\r\n```", "Is there an OpenCV library with the word 'dnn' in it that you have forgotten to link?\r\nIf building from source it may be easier for you to statically link it in this case." ]

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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 directories which is why the configDir is supplied in the function.\r\n\r\nthanks.\r\n\r\n" ]

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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." ]

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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 it without multi-threading.\r\nAlso, I'm closing this issue for now.", "Hi NIST team.\r\nI've searching a lot and sadly, I've had the same problem. \r\nI even migrated my TF Rust code to CPP with no luck.\r\n\r\nResearching a little more I foud an open issue regarding NIST implementatinos in the official TF github and they say as follows:\r\n[https://github.com/tensorflow/tensorflow/issues/51832#issuecomment-926205545\r\n](https://github.com/tensorflow/tensorflow/issues/51832#issuecomment-926205545)\r\nSo basically NIST API is not compatible with all model inferences with TF and the TF developers have not intenssions to make TF fork safe.\r\n\r\n¿Do you have any plans to make more compatible your API with TF?\r\nFor me it's contradictory that you use forks when TF, one of the more spreaded IA framekors, is not fork safe.\r\n\r\nI've seen that TF allows \"sessions\" as servers, and \"session-clients\". But that will require an extra process to use it. I assume that that implementation is not allowed by NIST.", "We've received a number of submissions using TF. It's possible to move your model initialization to the child process (after the fork) and invoke it once during the first API call. As for measuring timing, we consider and report the median time across thousands of API calls (e.g. createTemplate()), so even if your very first API function invocation takes longer, it should not impact the timing benchmark.", "Thanks. That was my first approach, but TF in Rust takes a long time to initialize. In c++ the initialization is faster.\r\nNow I'm initializing at \"matchTemplate\" once per fork.\r\n\r\nJust as conclussion for this issue. If you initialize your TF model at \"initialize()\"w and it hangs at \"matchTemlate\", you should try to initialize it once per fork at \"matchTemplate\" or \"createTemplate\". Regarding the time, it may not affect considerably the benchmark due the mean calculatiuon of thousands of API calls.\r\n\r\n¿Am I right?\r\n\r\n" ]

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[ "Yes, the implementation of 1:N search needs to be limited to a single process." ]

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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```" ]

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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." ]

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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." ]

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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." ]

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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 code and encode the failure within your template. It should not crash." ]

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[ "I was able to reduce the build time significantly by caching the github repo. " ]

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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." ]

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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 3.11 libarchive is not required , but for 3.18 which your script installs libarchive might be required, so do u think the repo script should be updated?", "I just did a fresh install of the CentOS 8.2 image on a VM and the latest cmake package being pulled from AppStream is indeed version 3.18.2-11. I was able to replicate your issue with libarchive, so I've added the libarchive package to the installation list in the validation scripts (which should pull the correct/compatible version).", "I've just fresh install the CentOS 8.2 on VM, and even the new commit has added libarchive but the issue is still.\r\nIt seems that libarchive 3.3.2 is already installed in my fresh installed CentOS. I solved it by update libarchive to 3.3.3 using:\r\n`sudo yum update libarchive`", "Thanks for making us aware of this. We have added the libarchive update to the validation scripts." ]

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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." ]

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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." ]

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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). The template will be included in the enrollment database/manifest like all other enrollment templates, but is not expected to contain any feature information.\r\n\r\nFor identification/probe templates (TemplateRole=Search_1N): If the function returns a non-successful return status, the output template will not be used in subsequent search operations.\r\n" ]

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