Darknet/YOLO v3.0-177-gfa2353b
Object Detection Framework
 
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src-lib Directory Reference
Directory dependency graph for src-lib:
src-lib

Directories

 windows
 

Files

 activation_kernels.cu
 
 activations.cpp
 
 activations.hpp
 
 avgpool_layer.cpp
 
 avgpool_layer.hpp
 
 avgpool_layer_kernels.cu
 
 batchnorm_layer.cpp
 
 batchnorm_layer.hpp
 
 blas.cpp
 
 blas.hpp
 
 blas_kernels.cu
 
 box.cpp
 
 box.hpp
 
 Chart.cpp
 
 Chart.hpp
 This file contains C++ classes and functions for working with chart.png.
 
 col2im.cpp
 
 col2im.hpp
 
 col2im_kernels.cu
 
 connected_layer.cpp
 
 connected_layer.hpp
 
 convolutional_kernels.cu
 
 convolutional_layer.cpp
 
 convolutional_layer.hpp
 
 cost_layer.cpp
 
 cost_layer.hpp
 
 crnn_layer.cpp
 
 crnn_layer.hpp
 
 crop_layer_kernels.cu
 
 dark_cuda.cpp
 
 dark_cuda.hpp
 
 darknet.cpp
 
 darknet.h
 Include this file to get access to the Darknet/YOLO C API.
 
 darknet.hpp
 Include this file to get access to the new Darknet V3 C++ API.
 
 darknet_args_and_parms.cpp
 
 darknet_args_and_parms.hpp
 
 darknet_cfg.cpp
 
 darknet_cfg.hpp
 The classes in this header file are used to parse Darknet/YOLO .cfg files.
 
 darknet_cfg_and_state.cpp
 
 darknet_cfg_and_state.hpp
 
 darknet_enums.cpp
 
 darknet_enums.hpp
 Some of the common Darknet/YOLO enums, and methods to convert between them and std::string.
 
 darknet_format_and_colour.cpp
 
 darknet_format_and_colour.hpp
 
 darknet_image.cpp
 
 darknet_image.hpp
 This file defines Darknet::Image as well as many functions which modify or create images.
 
 darknet_internal.hpp
 
 darknet_keypoints.cpp
 
 darknet_keypoints.hpp
 This file defines Darknet::Keypoints and related functions.
 
 darknet_layers.hpp
 Defines the layer structure and includes all of the different layer include files.
 
 darknet_network.cpp
 
 darknet_network.hpp
 
 darknet_utils.cpp
 
 darknet_utils.hpp
 Collection of helper and utility functions for Darknet.
 
 darknet_version.h
 The input file darknet_version.h.in is processed by CMake which then creates the header file darknet_version.h.
 
 darkunistd.hpp
 
 data.cpp
 
 data.hpp
 
 detector.cpp
 
 dropout_layer.cpp
 
 dropout_layer.hpp
 
 dropout_layer_kernels.cu
 
 dump.cpp
 
 dump.hpp
 
 gaussian_yolo_layer.cpp
 
 gaussian_yolo_layer.hpp
 
 gemm.cpp
 General matrix multiplication (GEMM)
 
 gemm.hpp
 General matrix multiplication (GEMM)
 
 im2col.cpp
 
 im2col.hpp
 
 im2col_kernels.cu
 
 image_opencv.cpp
 
 image_opencv.hpp
 
 layer.cpp
 
 list.cpp
 
 list.hpp
 
 lstm_layer.cpp
 
 lstm_layer.hpp
 
 matrix.cpp
 
 matrix.hpp
 
 maxpool_layer.cpp
 
 maxpool_layer.hpp
 
 maxpool_layer_kernels.cu
 
 network_kernels.cu
 
 nightmare.cpp
 
 option_list.cpp
 
 option_list.hpp
 
 region_layer.cpp
 
 region_layer.hpp
 
 reorg_layer.cpp
 
 reorg_layer.hpp
 
 rnn_layer.cpp
 
 rnn_layer.hpp
 
 route_layer.cpp
 
 route_layer.hpp
 
 sam_layer.cpp
 
 sam_layer.hpp
 
 scale_channels_layer.cpp
 
 scale_channels_layer.hpp
 
 shortcut_layer.cpp
 
 shortcut_layer.hpp
 
 softmax_layer.cpp
 
 softmax_layer.hpp
 
 Timing.cpp
 
 Timing.hpp
 This file contains C++ classes and functions for working with timing and tracking results.
 
 tree.cpp
 
 tree.hpp
 
 upsample_layer.cpp
 
 upsample_layer.hpp
 
 utils.cpp
 
 utils.hpp
 
 weights.cpp
 
 weights.hpp
 
 yolo_layer.cpp
 
 yolo_layer.hpp