opencv_opencv_model / README.md
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metadata
base_model: sentence-transformers/all-mpnet-base-v2
library_name: setfit
metrics:
  - accuracy
pipeline_tag: text-classification
tags:
  - setfit
  - sentence-transformers
  - text-classification
  - generated_from_setfit_trainer
widget:
  - text: "videowriter libraryLoad load opencv_videoio_ffmpeg460_64d.dll ### Descripe the feature and motivation\n\nCan I get opencv_videoio_ffmpeg460_64d.dll and opencv_videoio_ffmpeg460_64d.dll?(Shared libraries for debugging)Thank you!\n\n### Additional context\n\nI try to create video file by VideoWriter but failed,information like following:\r\nbackend_plugin.cpp (383) cv::impl::getPluginCandidates Found 3 plugin(s) for FFMPEG\r\nopencv-4.6.0\\\\modules\\\\core\\\\src\\\\utils\\\\plugin_loader.impl.hpp (67) cv::plugin::impl::DynamicLib::libraryLoad load D:\\\\develop\\\\opencv-4.6.0\\\\vs2017_x64\\\\bin\\\\Debug\\\\opencv_videoio_ffmpeg460_64d.dll => FAILED\r\nopencv-4.6.0\\\\modules\\\\core\\\\src\\\\utils\\\\plugin_loader.impl.hpp (67) cv::plugin::impl::DynamicLib::libraryLoad load opencv_videoio_ffmpeg460_64d.dll => FAILED\r\nopencv-4.6.0\\\\modules\\\\core\\\\src\\\\utils\\\\plugin_loader.impl.hpp (67) cv::plugin::impl::DynamicLib::libraryLoad load opencv_videoio_ffmpeg460_64.dll => FAILED\r\nopencv-4.6.0\\\\modules\\\\videoio\\\\src\\\\backend_plugin.cpp (383) cv::impl::getPluginCandidates Found 2 plugin(s) for INTEL_MFX\r\nopencv-4.6.0\\\\modules\\\\core\\\\src\\\\utils\\\\plugin_loader.impl.hpp (67) cv::plugin::impl::DynamicLib::libraryLoad load opencv-4.6.0\\\\vs2017_x64\\\\bin\\\\Debug\\\\opencv_videoio_intel_mfx460_64d.dll => FAILED\r\n[ INFO:0@51.519] \\\\opencv-4.6.0\\\\modules\\\\core\\\\src\\\\utils\\\\plugin_loader.impl.hpp (67) cv::plugin::impl::DynamicLib::libraryLoad load opencv_videoio_intel_mfx460_64d.dll => FAILED"
  - text: "OpenCV solution for Visual Studio 2019 is not building opencv_core.lib when AVX2 is specified in (CPU_DISPATCH = SSE4_1;SSE4_2;AVX;FP16;AVX2) in x86 build ### System Information\n\nOpenCV solution for Visual Studio 2019 is not building opencv_core.lib when\r\nAVX2 is specified in (CPU_DISPATCH = SSE4_1;SSE4_2;AVX;FP16;AVX2) in x86 build\r\n\r\nOpenCV version: 4.8.0\r\nOperating System / Platform:  Windows 10\r\nCompiler & compiler version:  Visual Studio 2019\n\n### Detailed description\n\nBy default x64 CMake configuration for Visual Studio 2019 uses:\r\nCPU_BASELINE = SSE3;\r\nCPU_DISPATCH = SSE4_1;SSE4_2;AVX;FP16;AVX2\r\nand x86 configuration uses:\r\nCPU_BASELINE = SSE2;\r\nCPU_DISPATCH = SSE4_1;SSE4_2;AVX;FP16\r\n\r\nWhen I set the same flags in build for x86 as set in x64 build, building\r\nopencv_core module ends with failure:\r\n\r\nLogs from building opencv_core module:\r\nBuild started...\r\n1>------ Build started: Project: ZERO_CHECK, Configuration: Release Win32 ------\r\n1>Checking Build System\r\n2>------ Build started: Project: ippiw, Configuration: Release Win32 ------\r\n3>------ Build started: Project: ittnotify, Configuration: Release Win32 ------\r\n4>------ Build started: Project: opencv_core_SSE4_1, Configuration: Release Win32 ------\r\n5>------ Build started: Project: opencv_core_SSE4_2, Configuration: Release Win32 ------\r\n6>------ Build started: Project: opencv_core_AVX, Configuration: Release Win32 ------\r\n7>------ Build started: Project: opencv_core_AVX2, Configuration: Release Win32 ------\r\n8>------ Build started: Project: zlib, Configuration: Release Win32 ------\r\n4>Building Custom Rule G:/opencv-4.8.0/modules/core/CMakeLists.txt\r\n2>Building Custom Rule G:/opencv-4.8.0/build_x86_AVX2/3rdparty/ippicv/ippicv_win/iw/CMakeLists.txt\r\n3>Building Custom Rule G:/opencv-4.8.0/3rdparty/ittnotify/CMakeLists.txt\r\n7>Building Custom Rule G:/opencv-4.8.0/modules/core/CMakeLists.txt\r\n6>Building Custom Rule G:/opencv-4.8.0/modules/core/CMakeLists.txt\r\n8>Building Custom Rule G:/opencv-4.8.0/3rdparty/zlib/CMakeLists.txt\r\n5>Building Custom Rule G:/opencv-4.8.0/modules/core/CMakeLists.txt\r\n2>iw_core.c\r\n6>mathfuncs_core.avx.cpp\r\n4>arithm.sse4_1.cpp\r\n2>iw_image.c\r\n2>iw_image_color_convert_all.c\r\n2>iw_image_color_convert_rgbs.c\r\n3>ittnotify_static.c\r\n2>iw_image_filter_bilateral.c\r\n2>iw_image_filter_box.c\r\n4>matmul.sse4_1.cpp\r\n3>jitprofiling.c\r\n2>iw_image_filter_canny.c\r\n2>iw_image_filter_gaussian.c\r\n5>stat.sse4_2.cpp\r\n7>mathfuncs_core.avx2.cpp\r\n7>stat.avx2.cpp\r\n8>adler32.c\r\n8>compress.c\r\n8>crc32.c\r\n8>deflate.c\r\n7>arithm.avx2.cpp\r\n7>convert.avx2.cpp\r\n8>gzclose.c\r\n8>gzlib.c\r\n8>gzread.c\r\n7>convert_scale.avx2.cpp\r\n7>count_non_zero.avx2.cpp\r\n7>has_non_zero.avx2.cpp\r\n7>matmul.avx2.cpp\r\n8>gzwrite.c\r\n2>iw_image_filter_general.c\r\n2>iw_image_filter_laplacian.c\r\n2>iw_image_filter_morphology.c\r\n8>inflate.c\r\n8>infback.c\r\n8>inftrees.c\r\n2>iw_image_filter_scharr.c\r\n2>iw_image_filter_sobel.c\r\n2>iw_image_op_copy.c\r\n2>iw_image_op_copy_channel.c\r\n2>iw_image_op_copy_make_border.c\r\n2>iw_image_op_copy_merge.c\r\n2>iw_image_op_copy_split.c\r\n2>iw_image_op_scale.c\r\n8>inffast.c\r\n8>trees.c\r\n8>uncompr.c\r\n8>zutil.c\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(130,12): error C3861: '_mm256_extract_epi64': identifier not found (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\stat.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(2312): message : see reference to function template instantiation 'int64 cv::hal_AVX2::_v256_extract_epi64<3>(const __m256i &)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\stat.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin.hpp(1016): message : see reference to function template instantiation 'uint64 cv::hal_AVX2::v_extract_n<3>(cv::hal_AVX2::v_uint64x4)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\stat.avx2.cpp)\r\n7>mean.avx2.cpp\r\n2>iw_image_op_set.c\r\n2>iw_image_op_set_channel.c\r\n2>iw_image_op_swap_channels.c\r\n2>iw_image_transform_mirror.c\r\n2>iw_image_transform_resize.c\r\n2>iw_image_transform_rotate.c\r\n2>iw_image_transform_warpaffine.c\r\n2>iw_own.c\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(130,12): error C3861: '_mm256_extract_epi64': identifier not found (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\arithm.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(2312): message : see reference to function template instantiation 'int64 cv::hal_AVX2::_v256_extract_epi64<3>(const __m256i &)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\arithm.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin.hpp(1016): message : see reference to function template instantiation 'uint64 cv::hal_AVX2::v_extract_n<3>(cv::hal_AVX2::v_uint64x4)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\arithm.avx2.cpp)\r\n7>merge.avx2.cpp\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(130,12): error C3861: '_mm256_extract_epi64': identifier not found (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\mathfuncs_core.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(2312): message : see reference to function template instantiation 'int64 cv::hal_AVX2::_v256_extract_epi64<3>(const __m256i &)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\mathfuncs_core.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin.hpp(1016): message : see reference to function template instantiation 'uint64 cv::hal_AVX2::v_extract_n<3>(cv::hal_AVX2::v_uint64x4)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\mathfuncs_core.avx2.cpp)\r\n7>split.avx2.cpp\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(130,12): error C3861: '_mm256_extract_epi64': identifier not found (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\count_non_zero.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(2312): message : see reference to function template instantiation 'int64 cv::hal_AVX2::_v256_extract_epi64<3>(const __m256i &)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\count_non_zero.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin.hpp(1016): message : see reference to function template instantiation 'uint64 cv::hal_AVX2::v_extract_n<3>(cv::hal_AVX2::v_uint64x4)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\count_non_zero.avx2.cpp)\r\n7>sum.avx2.cpp\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(130,12): error C3861: '_mm256_extract_epi64': identifier not found (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\matmul.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(2312): message : see reference to function template instantiation 'int64 cv::hal_AVX2::_v256_extract_epi64<3>(const __m256i &)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\matmul.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin.hpp(1016): message : see reference to function template instantiation 'uint64 cv::hal_AVX2::v_extract_n<3>(cv::hal_AVX2::v_uint64x4)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\matmul.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(130,12): error C3861: '_mm256_extract_epi64': identifier not found (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\convert.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(2312): message : see reference to function template instantiation 'int64 cv::hal_AVX2::_v256_extract_epi64<3>(const __m256i &)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\convert.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin.hpp(1016): message : see reference to function template instantiation 'uint64 cv::hal_AVX2::v_extract_n<3>(cv::hal_AVX2::v_uint64x4)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\convert.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(130,12): error C3861: '_mm256_extract_epi64': identifier not found (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\convert_scale.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(2312): message : see reference to function template instantiation 'int64 cv::hal_AVX2::_v256_extract_epi64<3>(const __m256i &)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\convert_scale.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin.hpp(1016): message : see reference to function template instantiation 'uint64 cv::hal_AVX2::v_extract_n<3>(cv::hal_AVX2::v_uint64x4)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\convert_scale.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(130,12): error C3861: '_mm256_extract_epi64': identifier not found (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\has_non_zero.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(2312): message : see reference to function template instantiation 'int64 cv::hal_AVX2::_v256_extract_epi64<3>(const __m256i &)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\has_non_zero.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin.hpp(1016): message : see reference to function template instantiation 'uint64 cv::hal_AVX2::v_extract_n<3>(cv::hal_AVX2::v_uint64x4)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\has_non_zero.avx2.cpp)\r\n3>ittnotify.vcxproj -> G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\3rdparty\\\\lib\\\\Release\\\\ittnotify.lib\r\n5>opencv_core_SSE4_2.vcxproj -> G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\opencv_core_SSE4_2.dir\\\\Release\\\\opencv_core_SSE4_2.lib\r\n2>ippiw.vcxproj -> G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\3rdparty\\\\lib\\\\Release\\\\ippiw.lib\r\n8>zlib.vcxproj -> G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\3rdparty\\\\lib\\\\Release\\\\zlib.lib\r\n6>opencv_core_AVX.vcxproj -> G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\opencv_core_AVX.dir\\\\Release\\\\opencv_core_AVX.lib\r\n4>opencv_core_SSE4_1.vcxproj -> G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\opencv_core_SSE4_1.dir\\\\Release\\\\opencv_core_SSE4_1.lib\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(130,12): error C3861: '_mm256_extract_epi64': identifier not found (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\mean.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(2312): message : see reference to function template instantiation 'int64 cv::hal_AVX2::_v256_extract_epi64<3>(const __m256i &)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\mean.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin.hpp(1016): message : see reference to function template instantiation 'uint64 cv::hal_AVX2::v_extract_n<3>(cv::hal_AVX2::v_uint64x4)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\mean.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(130,12): error C3861: '_mm256_extract_epi64': identifier not found (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\merge.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(2312): message : see reference to function template instantiation 'int64 cv::hal_AVX2::_v256_extract_epi64<3>(const __m256i &)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\merge.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin.hpp(1016): message : see reference to function template instantiation 'uint64 cv::hal_AVX2::v_extract_n<3>(cv::hal_AVX2::v_uint64x4)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\merge.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(130,12): error C3861: '_mm256_extract_epi64': identifier not found (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\split.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(2312): message : see reference to function template instantiation 'int64 cv::hal_AVX2::_v256_extract_epi64<3>(const __m256i &)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\split.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin.hpp(1016): message : see reference to function template instantiation 'uint64 cv::hal_AVX2::v_extract_n<3>(cv::hal_AVX2::v_uint64x4)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\split.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(130,12): error C3861: '_mm256_extract_epi64': identifier not found (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\sum.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin_avx.hpp(2312): message : see reference to function template instantiation 'int64 cv::hal_AVX2::_v256_extract_epi64<3>(const __m256i &)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\sum.avx2.cpp)\r\n7>G:\\\\opencv-4.8.0\\\\modules\\\\core\\\\include\\\\opencv2/core/hal/intrin.hpp(1016): message : see reference to function template instantiation 'uint64 cv::hal_AVX2::v_extract_n<3>(cv::hal_AVX2::v_uint64x4)' being compiled (compiling source file G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\sum.avx2.cpp)\r\n7>Done building project \"opencv_core_AVX2.vcxproj\" -- FAILED.\r\n9>------ Build started: Project: opencv_core, Configuration: Release Win32 ------\r\n9>Processing OpenCL kernels (core)\r\n9>-- G:/opencv-4.8.0/build_x86_AVX2/modules/core/opencl_kernels_core.hpp contains the same content\r\n9>Building Custom Rule G:/opencv-4.8.0/modules/core/CMakeLists.txt\r\n9>cmake_pch.cxx\r\n9>algorithm.cpp\r\n9>arithm.cpp\r\n9>arithm.dispatch.cpp\r\n9>array.cpp\r\n9>async.cpp\r\n9>batch_distance.cpp\r\n9>bindings_utils.cpp\r\n9>buffer_area.cpp\r\n9>channels.cpp\r\n9>check.cpp\r\n9>command_line_parser.cpp\r\n9>conjugate_gradient.cpp\r\n9>convert.dispatch.cpp\r\n9>convert_c.cpp\r\n9>convert_scale.dispatch.cpp\r\n9>copy.cpp\r\n9>count_non_zero.dispatch.cpp\r\n9>cuda_gpu_mat.cpp\r\n9>cuda_gpu_mat_nd.cpp\r\n9>cuda_host_mem.cpp\r\n9>cuda_info.cpp\r\n9>cuda_stream.cpp\r\n9>datastructs.cpp\r\n9>directx.cpp\r\n9>downhill_simplex.cpp\r\n9>dxt.cpp\r\n9>gl_core_3_1.cpp\r\n9>glob.cpp\r\n9>hal_internal.cpp\r\n9>has_non_zero.dispatch.cpp\r\n9>kmeans.cpp\r\n9>lapack.cpp\r\n9>lda.cpp\r\n9>logger.cpp\r\n9>lpsolver.cpp\r\n9>lut.cpp\r\n9>mathfuncs.cpp\r\n9>mathfuncs_core.dispatch.cpp\r\n9>matmul.dispatch.cpp\r\n9>matrix.cpp\r\n9>matrix_c.cpp\r\n9>matrix_decomp.cpp\r\n9>matrix_expressions.cpp\r\n9>matrix_iterator.cpp\r\n9>matrix_operations.cpp\r\n9>matrix_sparse.cpp\r\n9>matrix_transform.cpp\r\n9>matrix_wrap.cpp\r\n9>mean.dispatch.cpp\r\n9>merge.dispatch.cpp\r\n9>minmax.cpp\r\n9>norm.cpp\r\n9>ocl.cpp\r\n9>opencl_clblas.cpp\r\n9>opencl_clfft.cpp\r\n9>opencl_core.cpp\r\n9>opengl.cpp\r\n9>out.cpp\r\n9>ovx.cpp\r\n9>parallel_openmp.cpp\r\n9>parallel_tbb.cpp\r\n9>parallel_impl.cpp\r\n9>pca.cpp\r\n9>persistence.cpp\r\n9>persistence_base64_encoding.cpp\r\n9>persistence_json.cpp\r\n9>persistence_types.cpp\r\n9>persistence_xml.cpp\r\n9>persistence_yml.cpp\r\n9>rand.cpp\r\n9>softfloat.cpp\r\n9>split.dispatch.cpp\r\n9>stat.dispatch.cpp\r\n9>stat_c.cpp\r\n9>stl.cpp\r\n9>sum.dispatch.cpp\r\n9>system.cpp\r\n9>tables.cpp\r\n9>trace.cpp\r\n9>types.cpp\r\n9>umatrix.cpp\r\n9>datafile.cpp\r\n9>filesystem.cpp\r\n9>logtagconfigparser.cpp\r\n9>logtagmanager.cpp\r\n9>samples.cpp\r\n9>va_intel.cpp\r\n9>opencl_kernels_core.cpp\r\n9>alloc.cpp\r\n9>parallel.cpp\r\n9>parallel.cpp\r\n9>LINK : fatal error LNK1181: cannot open input file 'G:\\\\opencv-4.8.0\\\\build_x86_AVX2\\\\modules\\\\core\\\\opencv_core_AVX2.dir\\\\Release\\\\mathfuncs_core.avx2.obj'\r\n9>Done building project \"opencv_core.vcxproj\" -- FAILED.\r\n========== Build: 7 succeeded, 2 failed, 0 up-to-date, 0 skipped ==========\r\n\n\n### Steps to reproduce\n\n1. Set Cmake configuration to Visual Studio 2019 x86\r\n2. Set this flags\r\nCPU_BASELINE = SSE3;\r\nCPU_DISPATCH = SSE4_1;SSE4_2;AVX;FP16;AVX2\r\nBUILD_SHARED_LIBS=OFF\r\n3. Build Visual Studio 2019 solution\r\n4. Open solution and build opencv_core module\r\n[CMakeCache.txt](https://github.com/opencv/opencv/files/11957266/CMakeCache.txt)\r\n\n\n### Issue submission checklist\n\n- [X] I report the issue, it's not a question\n- [X] I checked the problem with documentation, FAQ, open issues, forum.opencv.org, Stack Overflow, etc and have not found any solution\n- [X] I updated to the latest OpenCV version and the issue is still there\n- [X] There is reproducer code and related data files (videos, images, onnx, etc)"
  - text: "dnn onnx: invalid shape dimension and wrong results in test case Test_ONNX_layers.OpenAI_CLIP_head ### System Information\n\nlatest opencv and lastest onnxruntime\n\n### Detailed description\n\nRelated PR: https://github.com/opencv/opencv/pull/23419 and https://github.com/opencv/opencv_extra/pull/1049.\r\n\r\nIn the above PR, several fixes are indtroduced for the clip head. Those fixes are fine, but the manually generated onnx model named \"clip-vit-base-head.onnx\" is invalid and **cannot be run by onnxruntime**:\r\n\r\n1. In the Expand operator, `shape` input should be of type `int64` instead of `int32`. Please use `onnx.checker.check_model(model)` (it checks operator definitions and so on) before saving a manually generated onnx model.\r\n2. Having that fixed, onnxruntime still complains invalid shape in the Expand operator. Changing the shape value from [1, 1, -1] to [1, 1, 1] fixes the problem. Please run the manually generated onnx model with onnxruntime to check whether it is all valid.\r\n\r\ncc @dkurt \n\n### Steps to reproduce\n\nInstall onnxruntime, then\r\n\r\n```\r\nimport numpy as np\r\nfrom onnxruntime import InferenceSession\r\n\r\n\r\nnet = InferenceSession(\"./clip-vit-base-head.onnx\")\r\nout = net.run([], {\"input\": np.random.randn(1, 1, 3).astype(np.float32)})\r\nprint(out[0].shape)\r\n```\n\n### Issue submission checklist\n\n- [X] I report the issue, it's not a question\n- [X] I checked the problem with documentation, FAQ, open issues, forum.opencv.org, Stack Overflow, etc and have not found any solution\n- [X] I updated to the latest OpenCV version and the issue is still there\n- [X] There is reproducer code and related data files (videos, images, onnx, etc)"
  - text: "OpenCV build - cmake don't recognize GTK2 or GTK3 ##### System information (version)\r\n\r\n- OpenCV => 4.7.0\r\n- Operating System / Platform => Ubuntu 20.04\r\n- Compiler => g++ (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\r\n- C++ Standard: 11\r\n\r\n##### Detailed description\r\n\r\nI am trying to create OpenCV with the GTK GUI. I have `GTK2` and `GTK3` installed on the system, but neither version is recognised by cmake. \r\n\r\n![image](https://user-images.githubusercontent.com/62354721/230026534-66053f4e-67d3-45cd-93c2-4902365400c7.png)\r\n![image](https://user-images.githubusercontent.com/62354721/230026727-07d64f8c-c453-4048-9d23-3608b1c94663.png)\r\n\r\n\r\nThe output after executing cmake remains \r\n**GUI: NONE** \r\n**GTK+:NO**\r\n\r\nI execute the cmake command as follows:\r\n\r\n`cmake -DPYTHON_DEFAULT_EXECUTABLE=$(which python3) -DWITH_GTK=ON ../opencv`\r\n\r\nor\r\n\r\n`cmake -DPYTHON_DEFAULT_EXECUTABLE=$(which python3) -DWITH_GTK=ON -DWITH_GTK_2_X=ON ../opencv`\r\n\r\n##### Steps to reproduce\r\n\r\ngit clone https://github.com/opencv/opencv.git\r\nmkdir -p build && cd build\r\ncmake ../opencv (default, custom look above)\r\n\r\nThank you for your help\r\n"
  - text: "How to confirm the version of the OpenCV 3rdParty libs <!--\r\nIf you have a question rather than reporting a bug please go to https://forum.opencv.org where you get much faster responses.\r\nIf you need further assistance please read [How To Contribute](https://github.com/opencv/opencv/wiki/How_to_contribute).\r\n\r\nThis is a template helping you to create an issue which can be processed as quickly as possible. This is the bug reporting section for the OpenCV library.\r\n-->\r\n\r\n##### System information (version)\r\n- OpenCV = 4.5.2\r\n- Operating System / Platform => Linux\r\n- Compiler => gcc version 4.8.5\r\n\r\n\r\n##### Detailed description\r\nI need to obtain each software version in the 3rdparty directory in the source code of OpenCV 4.5.2 to analyze whether OpenCV 4.5.2 has dependency vulnerabilities.But the third-party software version is not found in the code repository or in the document.For example, the versions of open-source software such as carotene, cpufeatures, ippicv, and ittnotify cannot be confirmed.\r\n![image](https://user-images.githubusercontent.com/98326538/150894923-7303e9a0-ddc4-4b8e-be37-77a0ff583cf1.png)\r\n\r\n\r\n\r\n##### Steps to reproduce\r\n\r\n\r\n##### Issue submission checklist\r\n\r\n - [x] I report the issue, it's not a question\r\n   <!--\r\n   OpenCV team works with forum.opencv.org, Stack Overflow and other communities\r\n   to discuss problems. Tickets with questions without a real issue statement will be\r\n   closed.\r\n   -->\r\n - [x] I checked the problem with documentation, FAQ, open issues,\r\n       forum.opencv.org, Stack Overflow, etc and have not found any solution\r\n   <!--\r\n   Places to check:\r\n   * OpenCV documentation: https://docs.opencv.org\r\n   * FAQ page: https://github.com/opencv/opencv/wiki/FAQ\r\n   * OpenCV forum: https://forum.opencv.org\r\n   * OpenCV issue tracker: https://github.com/opencv/opencv/issues?q=is%3Aissue\r\n   * Stack Overflow branch: https://stackoverflow.com/questions/tagged/opencv\r\n   -->\r\n - [x] I updated to the latest OpenCV version and the issue is still there\r\n   <!--\r\n   master branch for OpenCV 4.x and 3.4 branch for OpenCV 3.x releases.\r\n   OpenCV team supports only the latest release for each branch.\r\n   The ticket is closed if the problem is not reproduced with the modern version.\r\n   -->\r\n - [ ] There is reproducer code and related data files: videos, images, onnx, etc\r\n   <!--\r\n   The best reproducer -- test case for OpenCV that we can add to the library.\r\n   Recommendations for media files and binary files:\r\n   * Try to reproduce the issue with images and videos in opencv_extra repository\r\n     to reduce attachment size\r\n   * Use PNG for images, if you report some CV related bug, but not image reader\r\n     issue\r\n   * Attach the image as an archive to the ticket, if you report some reader issue.\r\n     Image hosting services compress images and it breaks the repro code.\r\n   * Provide ONNX file for some public model or ONNX file with random weights,\r\n     if you report ONNX parsing or handling issue. Architecture details diagram\r\n     from netron tool can be very useful too. See https://lutzroeder.github.io/netron/\r\n   -->\r\n"
inference: true

SetFit with sentence-transformers/all-mpnet-base-v2

This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/all-mpnet-base-v2 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.

The model has been trained using an efficient few-shot learning technique that involves:

  1. Fine-tuning a Sentence Transformer with contrastive learning.
  2. Training a classification head with features from the fine-tuned Sentence Transformer.

Model Details

Model Description

Model Sources

Model Labels

Label Examples
feature
  • 'imshow速度太慢,如何能加快imshow ### Descripe the feature and motivation\n\nimshow速度太慢,如何能加快imshow\n\n### Additional context\n\n_No response_'
  • 'Add H264 / H265 writter support for Android ### Pull Request Readiness Checklist\r\n\r\nSee details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request\r\n\r\n- [x] I agree to contribute to the project under Apache 2 License.\r\n- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV\r\n- [x] The PR is proposed to the proper branch\r\n- [ ] There is a reference to the original bug report and related work\r\n- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable\r\n Patch to opencv_extra has the same branch name.\r\n- [ ] The feature is well documented and sample code can be built with the project CMake\r\n'
  • '4-bit_palette_color ### Pull Request Readiness Checklist\r\n\r\nSee details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request\r\n\r\n- [x] I agree to contribute to the project under Apache 2 License.\r\n- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV\r\n- [x] The PR is proposed to the proper branch\r\n- [ ] There is a reference to the original bug report and related work\r\n- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable\r\n Patch to opencv_extra has the same branch name.\r\n- [ ] The feature is well documented and sample code can be built with the project CMake\r\n'
bug
  • 'DNN: support the split node of onnx opset >= 13 Merge with test case: https://github.com/opencv/opencv_extra/pull/1053.\r\n\r\nThe attribute of split in Split layer has been moved from attribute to input.\r\nRelated link: https://github.com/onnx/onnx/blob/main/docs/Operators.md#inputs-1---2-12\r\nThe purpose of this PR is to support the split with input type.\r\n\r\n### Pull Request Readiness Checklist\r\n\r\nSee details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request\r\n\r\n- [x] I agree to contribute to the project under Apache 2 License.\r\n- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV\r\n- [x] The PR is proposed to the proper branch\r\n- [ ] There is a reference to the original bug report and related work\r\n- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable\r\n Patch to opencv_extra has the same branch name.\r\n- [ ] The feature is well documented and sample code can be built with the project CMake\r\n'
  • "Fixed bug when MSMF webcamera doesn't start when build with VIDEOIO_PLUGIN_ALL Fixed #23937 and #23056\r\n"
  • "Fixes pixel info color font for dark Qt themes For dark Qt themes, it is hard to read the pixel color information on the bottom left, like the coordinates or RGB values. This PR proposes a way on how the dynamically sets the font colors based on the system's theme.\r\nOriginal Example:\r\n\r\noriginal\r\n\r\nWith patch:\r\n\r\nimage\r\n\r\n\r\nFor Windows, nothing is changed (tested on a windows 11 system), because the font color is #000000 when using the default Qt theme.\r\n\r\n### Pull Request Readiness Checklist\r\n\r\nSee details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request\r\n\r\n- [x] I agree to contribute to the project under Apache 2 License.\r\n- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV\r\n- [x] The PR is proposed to the proper branch\r\n- [ ] There is a reference to the original bug report and related work\r\n- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable\r\n Patch to opencv_extra has the same branch name.\r\n- [ ] The feature is well documented and sample code can be built with the project CMake\r\n"
question
  • 'In file included from /home/xxx/opencv/modules/python/src2/cv2.cpp:11:0: /home/xxx/opencv/build/modules/python_bindings_generator/pyopencv_generated_include.h:19:10: fatal error: opencv2/hdf/hdf5.hpp: no file or directory #include "opencv2/hdf/hdf5.hpp" ^~~~~~~~~~~~~~~~~~~~~~ I'm building opencv-cuda,it happens at the end.'
  • "Opencv error with GPU backend \r\n\r\n##### System information (version)\r\n\r\n- OpenCV => 4.5.5-dev\r\n- Operating System / Platform => Ubuntu 20\r\n- Compiler => GCC\r\n\r\n##### Detailed description\r\n\r\nI cannot run anymore my cv2.dnn on GPU. \r\nI tried to run the code in CPU and its workings. I also tested with the older version of OpenCV and is working. I think the new commit merged in February changed the dnn output is an np.array[] and is not compatible with 4.5.5 release version. Could you please give an example of how to use the new output?\r\n\r\n##### Steps to reproduce\r\n .python\r\n //with CUDA enabled\r\n net = cv2.dnn.readNetFromONNX(model_yolo_v5))\r\n net.setInput(_image)\r\n results = net.forward()\r\n \r\n##### Issue submission checklist\r\n\r\n - [ ] I report the issue, it's not a question\r\n \r\n - [x] I checked the problem with documentation, FAQ, open issues,\r\n forum.opencv.org, Stack Overflow, etc and have not found any solution\r\n \r\n - [x] I updated to the latest OpenCV version and the issue is still there\r\n \r\n - [ ] There is reproducer code and related data files: videos, images, onnx, etc\r\n \r\n"
  • 'cv2.imread() fails when filenames have multiple dots (.) \r\n\r\n##### System information (version)\r\n\r\n\r\n- OpenCV => 4.5.5.64\r\n- Operating System / Platform => Windows\r\n- Compiler => PyCharm Community Edition 2020.1.1\r\n\r\n##### Detailed description\r\n\r\nWhen the cv2.imread() method encounters a filename with multiple dots (.), a NoneType is returned. I think this might be because the file extension is assumed to be everything after the first dot, and not the last, but it could be something completely different.\r\n\r\nExample: \r\n\r\n##### Steps to reproduce\r\n\r\n\r\nRunning the following code, with two images in the same directory,\r\n.py\r\nimport cv2\r\n\r\nim = cv2.imread("C:/Users/.../Videos/Captures/test project – main.py 18_05_2022 15_44_50.png")\r\nim2 = cv2.imread("C:/Users/.../Videos/Captures/Screenshot 16_05_2022 23_40_07.png")\r\n\r\nprint(im)\r\nprint(im2)\r\n\r\ngives the result:\r\n.py\r\n[ WARN:0@0.221] global D:\\\\a\\\\opencv-python\\\\opencv-python\\\\opencv\\\\modules\\\\imgcodecs\\\\src\\\\loadsave.cpp (239) cv::findDecoder imread_(\'C:/Users/.../Videos/Captures/test project – main.py 18_05_2022 15_44_50.png\'): can\'t open/read file: check file path/integrity\r\nNone\r\n[[[255 255 255]\r\n [255 255 255]\r\n [255 255 255]\r\n ...\r\n [255 255 255]\r\n [255 255 255]\r\n [255 255 255]]\r\n\r\n [[255 255 255]\r\n [255 255 255]\r\n [255 255 255]\r\n ...\r\n [255 255 255]\r\n [255 255 255]\r\n [255 255 255]]\r\n\r\n [[153 139 140]\r\n [152 139 139]\r\n [151 139 138]\r\n ...\r\n [148 136 135]\r\n [150 138 138]\r\n [151 140 139]]]\r\n\r\nwhich shows that the first image (one dot) loaded successfully, but the second one (with the multiple dots) failed.\r\n##### Issue submission checklist\r\n\r\n - [x] I report the issue, it's not a question\r\n \r\n - [x] I checked the problem with documentation, FAQ, open issues,\r\n forum.opencv.org, Stack Overflow, etc and have not found any solution\r\n \r\n - [x] I updated to the latest OpenCV version and the issue is still there\r\n \r\n - [x] There is reproducer code and related data files: videos, images, onnx, etc\r\n \r\n'

Uses

Direct Use for Inference

First install the SetFit library:

pip install setfit

Then you can load this model and run inference.

from setfit import SetFitModel

# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("setfit_model_id")
# Run inference
preds = model("OpenCV build - cmake don't recognize GTK2 or GTK3 ##### System information (version)

- OpenCV => 4.7.0
- Operating System / Platform => Ubuntu 20.04
- Compiler => g++ (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
- C++ Standard: 11

##### Detailed description

I am trying to create OpenCV with the GTK GUI. I have `GTK2` and `GTK3` installed on the system, but neither version is recognised by cmake. 

![image](https://user-images.githubusercontent.com/62354721/230026534-66053f4e-67d3-45cd-93c2-4902365400c7.png)
![image](https://user-images.githubusercontent.com/62354721/230026727-07d64f8c-c453-4048-9d23-3608b1c94663.png)


The output after executing cmake remains 
**GUI: NONE** 
**GTK+:NO**

I execute the cmake command as follows:

`cmake -DPYTHON_DEFAULT_EXECUTABLE=$(which python3) -DWITH_GTK=ON ../opencv`

or

`cmake -DPYTHON_DEFAULT_EXECUTABLE=$(which python3) -DWITH_GTK=ON -DWITH_GTK_2_X=ON ../opencv`

##### Steps to reproduce

git clone https://github.com/opencv/opencv.git
mkdir -p build && cd build
cmake ../opencv (default, custom look above)

Thank you for your help
")

Training Details

Training Set Metrics

Training set Min Median Max
Word count 2 393.0933 13648
Label Training Sample Count
bug 200
feature 200
question 200

Training Hyperparameters

  • batch_size: (16, 2)
  • num_epochs: (1, 1)
  • max_steps: -1
  • sampling_strategy: oversampling
  • num_iterations: 20
  • body_learning_rate: (2e-05, 1e-05)
  • head_learning_rate: 0.01
  • loss: CosineSimilarityLoss
  • distance_metric: cosine_distance
  • margin: 0.25
  • end_to_end: False
  • use_amp: False
  • warmup_proportion: 0.1
  • seed: 42
  • eval_max_steps: -1
  • load_best_model_at_end: False

Training Results

Epoch Step Training Loss Validation Loss
0.0007 1 0.2963 -
0.0067 10 0.2694 -
0.0133 20 0.2443 -
0.02 30 0.2872 -
0.0267 40 0.2828 -
0.0333 50 0.2279 -
0.04 60 0.1852 -
0.0467 70 0.1983 -
0.0533 80 0.224 -
0.06 90 0.2315 -
0.0667 100 0.2698 -
0.0733 110 0.1178 -
0.08 120 0.1216 -
0.0867 130 0.1065 -
0.0933 140 0.1519 -
0.1 150 0.073 -
0.1067 160 0.0858 -
0.1133 170 0.1697 -
0.12 180 0.1062 -
0.1267 190 0.0546 -
0.1333 200 0.139 -
0.14 210 0.0513 -
0.1467 220 0.1168 -
0.1533 230 0.0455 -
0.16 240 0.0521 -
0.1667 250 0.0307 -
0.1733 260 0.0618 -
0.18 270 0.0964 -
0.1867 280 0.0707 -
0.1933 290 0.0524 -
0.2 300 0.0358 -
0.2067 310 0.0238 -
0.2133 320 0.0759 -
0.22 330 0.0197 -
0.2267 340 0.0053 -
0.2333 350 0.0035 -
0.24 360 0.0036 -
0.2467 370 0.0079 -
0.2533 380 0.0033 -
0.26 390 0.0021 -
0.2667 400 0.0026 -
0.2733 410 0.0018 -
0.28 420 0.0014 -
0.2867 430 0.0019 -
0.2933 440 0.0027 -
0.3 450 0.0016 -
0.3067 460 0.0027 -
0.3133 470 0.0095 -
0.32 480 0.0005 -
0.3267 490 0.0006 -
0.3333 500 0.0006 -
0.34 510 0.0634 -
0.3467 520 0.0025 -
0.3533 530 0.0013 -
0.36 540 0.0007 -
0.3667 550 0.0007 -
0.3733 560 0.0003 -
0.38 570 0.0006 -
0.3867 580 0.0007 -
0.3933 590 0.0004 -
0.4 600 0.0006 -
0.4067 610 0.0007 -
0.4133 620 0.0005 -
0.42 630 0.0004 -
0.4267 640 0.0005 -
0.4333 650 0.0013 -
0.44 660 0.0005 -
0.4467 670 0.0007 -
0.4533 680 0.0008 -
0.46 690 0.0018 -
0.4667 700 0.0007 -
0.4733 710 0.0008 -
0.48 720 0.0007 -
0.4867 730 0.0007 -
0.4933 740 0.0002 -
0.5 750 0.0002 -
0.5067 760 0.0002 -
0.5133 770 0.0007 -
0.52 780 0.0004 -
0.5267 790 0.0003 -
0.5333 800 0.0007 -
0.54 810 0.0004 -
0.5467 820 0.0003 -
0.5533 830 0.0002 -
0.56 840 0.001 -
0.5667 850 0.008 -
0.5733 860 0.0003 -
0.58 870 0.0002 -
0.5867 880 0.0011 -
0.5933 890 0.0005 -
0.6 900 0.0004 -
0.6067 910 0.0003 -
0.6133 920 0.0002 -
0.62 930 0.0002 -
0.6267 940 0.0002 -
0.6333 950 0.0001 -
0.64 960 0.0002 -
0.6467 970 0.0003 -
0.6533 980 0.0002 -
0.66 990 0.0005 -
0.6667 1000 0.0003 -
0.6733 1010 0.0002 -
0.68 1020 0.0003 -
0.6867 1030 0.0008 -
0.6933 1040 0.0003 -
0.7 1050 0.0005 -
0.7067 1060 0.0012 -
0.7133 1070 0.0001 -
0.72 1080 0.0003 -
0.7267 1090 0.0002 -
0.7333 1100 0.0001 -
0.74 1110 0.0003 -
0.7467 1120 0.0002 -
0.7533 1130 0.0003 -
0.76 1140 0.0596 -
0.7667 1150 0.0012 -
0.7733 1160 0.0004 -
0.78 1170 0.0003 -
0.7867 1180 0.0003 -
0.7933 1190 0.0002 -
0.8 1200 0.0015 -
0.8067 1210 0.0002 -
0.8133 1220 0.0001 -
0.82 1230 0.0002 -
0.8267 1240 0.0002 -
0.8333 1250 0.0002 -
0.84 1260 0.0002 -
0.8467 1270 0.0003 -
0.8533 1280 0.0001 -
0.86 1290 0.0001 -
0.8667 1300 0.0002 -
0.8733 1310 0.0004 -
0.88 1320 0.0004 -
0.8867 1330 0.0004 -
0.8933 1340 0.0001 -
0.9 1350 0.0002 -
0.9067 1360 0.055 -
0.9133 1370 0.0002 -
0.92 1380 0.0004 -
0.9267 1390 0.0001 -
0.9333 1400 0.0002 -
0.94 1410 0.0002 -
0.9467 1420 0.0004 -
0.9533 1430 0.0009 -
0.96 1440 0.0003 -
0.9667 1450 0.0427 -
0.9733 1460 0.0004 -
0.98 1470 0.0001 -
0.9867 1480 0.0002 -
0.9933 1490 0.0002 -
1.0 1500 0.0002 -

Framework Versions

  • Python: 3.10.12
  • SetFit: 1.0.3
  • Sentence Transformers: 3.0.1
  • Transformers: 4.39.0
  • PyTorch: 2.3.0+cu121
  • Datasets: 2.20.0
  • Tokenizers: 0.15.2

Citation

BibTeX

@article{https://doi.org/10.48550/arxiv.2209.11055,
    doi = {10.48550/ARXIV.2209.11055},
    url = {https://arxiv.org/abs/2209.11055},
    author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
    keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
    title = {Efficient Few-Shot Learning Without Prompts},
    publisher = {arXiv},
    year = {2022},
    copyright = {Creative Commons Attribution 4.0 International}
}