yolo_quantization:基于论文“仅基于整数算法的神经网络的量化和训练” （893个子文件） 
data.c 48KB parser.c 47KB image.c 39KB convolutional_layer.c 36KB detector.c 35KB blas.c 33KB network.c 33KB gemm.c 20KB region_layer.c 19KB batchnorm_layer.c 14KB utils.c 13KB yolo_layer.c 13KB connected_layer.c 11KB detection_layer.c 10KB deconvolutional_layer.c 10KB local_layer.c 9KB box.c 9KB darknet.c 8KB maxpool_layer.c 8KB segmenter.c 8KB route_layer.c 7KB upsample_layer.c 6KB normalization_layer.c 6KB reorg_layer.c 5KB cuda.c 5KB layer.c 4KB matrix.c 4KB activations.c 4KB im2col.c 4KB tree.c 4KB softmax_layer.c 4KB option_list.c 3KB shortcut_layer.c 3KB crop_layer.c 3KB logistic_layer.c 2KB avgpool_layer.c 2KB l2norm_layer.c 2KB activation_layer.c 2KB dropout_layer.c 2KB list.c 1KB col2im.c 1KB gettimeofday.c 1KB yolov3_tiny_quant_channelwise.cfg 3KB image_opencv.cpp 3KB stdafx.cpp 213B yolo_quantization.cpp 112B blas_kernels.cu 46KB convolutional_kernels.cu 15KB convolutional_kernels copy.cu 14KB activation_kernels.cu 7KB crop_layer_kernels.cu 7KB deconvolutional_kernels.cu 5KB maxpool_layer_kernels.cu 4KB col2im_kernels.cu 2KB im2col_kernels.cu 2KB avgpool_layer_kernels.cu 2KB dropout_layer_kernels.cu 1KB voc_nok.data 193B Browse.VC.db 56.55MB yolo_quantization.vcxproj.filters 11KB stb_image.h 261KB stb_image_write.h 64KB darknet.h 25KB blas.h 9KB activations.h 3KB convolutional_layer.h 3KB image.h 2KB data.h 2KB gemm.h 2KB utils.h 1KB local_layer.h 987B im2col.h 977B gettimeofday.h 937B deconvolutional_layer.h 920B maxpool_layer.h 853B batchnorm_layer.h 763B route_layer.h 703B connected_layer.h 702B normalization_layer.h 677B avgpool_layer.h 629B upsample_layer.h 627B network.h 626B softmax_layer.h 623B detection_layer.h 563B yolo_layer.h 553B dropout_layer.h 543B reorg_layer.h 539B crop_layer.h 526B shortcut_layer.h 520B region_layer.h 510B activation_layer.h 466B option_list.h 437B logistic_layer.h 421B l2norm_layer.h 407B cuda.h 398B col2im.h 344B matrix.h 259B box.h 248B targetver.h 232B tree.h 230B共 893 条
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