├── .github └── ISSUE_TEMPLATE │ └── issue-template.md ├── .gitignore ├── LICENSE ├── README.md ├── article_link └── README.md ├── course_ppt └── README.md ├── data_set ├── README.md └── split_data.py ├── deploying_service ├── deploying_pytorch │ ├── convert_onnx_cls │ │ ├── class_indices.json │ │ ├── main.py │ │ └── model.py │ ├── convert_openvino │ │ ├── convert_resnet34 │ │ │ ├── README.md │ │ │ ├── compare_fps.py │ │ │ ├── compare_onnx_and_ir.py │ │ │ ├── convert_pytorch2onnx.py │ │ │ ├── model.py │ │ │ ├── quantization_int8.py │ │ │ ├── requirements.txt │ │ │ └── utils.py │ │ └── convert_yolov5 │ │ │ ├── README.md │ │ │ ├── compare_fps.py │ │ │ ├── compare_onnx_and_ir.py │ │ │ ├── draw_box_utils.py │ │ │ ├── evaluation.py │ │ │ ├── predict.py │ │ │ ├── quantization_int8.py │ │ │ ├── requirements.txt │ │ │ └── utils.py │ ├── convert_tensorrt │ │ └── convert_resnet34 │ │ │ ├── compare_onnx_and_trt.py │ │ │ ├── convert_pytorch2onnx.py │ │ │ ├── my_dataset.py │ │ │ ├── quantization.py │ │ │ └── utils.py │ └── pytorch_flask_service │ │ ├── class_indices.json │ │ ├── main.py │ │ ├── model.py │ │ ├── requirements.txt │ │ ├── static │ │ └── js │ │ │ └── jquery.min.js │ │ └── templates │ │ └── up.html └── pruning_model_pytorch │ ├── class_indices.json │ ├── main.py │ ├── model.py │ ├── predict.py │ └── train.py ├── others_project ├── draw_dilated_conv │ └── main.py ├── kmeans_anchors │ ├── main.py │ ├── plot_kmeans.py │ ├── read_voc.py │ └── yolo_kmeans.py ├── openvinotest │ └── openvino_cls_test │ │ ├── class_indices.json │ │ ├── create_imagenet_annotation.py │ │ ├── float32vsint8.py │ │ ├── main.py │ │ ├── model.py │ │ └── speed_test.py ├── readPbFile │ ├── README.md │ ├── export │ │ └── checkpoint │ ├── pascal_label_map.pbtxt │ ├── readPb.py │ ├── test_images │ │ └── image_info.txt │ └── using_function.py ├── textcnnKeras │ ├── dataGenerator.py │ ├── data_link.txt │ ├── main.py │ └── models.py └── trans_widerface_to_xml │ ├── create_xml.py │ └── main.py ├── pytorch_classification ├── ConfusionMatrix │ ├── class_indices.json │ ├── main.py │ └── model.py ├── ConvNeXt │ ├── README.md │ ├── model.py │ ├── my_dataset.py │ ├── predict.py │ ├── train.py │ └── utils.py ├── MobileViT │ ├── README.md │ ├── model.py │ ├── model_config.py │ ├── my_dataset.py │ ├── predict.py │ ├── train.py │ ├── transformer.py │ ├── unfold_test.py │ └── utils.py ├── README.md ├── Test10_regnet │ ├── README.md │ ├── model.py │ ├── my_dataset.py │ ├── predict.py │ ├── pretrain_weights.py │ ├── train.py │ └── utils.py ├── Test11_efficientnetV2 │ ├── README.md │ ├── class_indices.json │ ├── model.py │ ├── my_dataset.py │ ├── predict.py │ ├── train.py │ ├── trans_effv2_weights.py │ └── utils.py ├── Test1_official_demo │ ├── model.py │ ├── predict.py │ └── train.py ├── Test2_alexnet │ ├── class_indices.json │ ├── model.py │ ├── predict.py │ └── train.py ├── Test3_vggnet │ ├── class_indices.json │ ├── model.py │ ├── predict.py │ └── train.py ├── Test4_googlenet │ ├── class_indices.json │ ├── model.py │ ├── predict.py │ └── train.py ├── Test5_resnet │ ├── README.md │ ├── batch_predict.py │ ├── class_indices.json │ ├── load_weights.py │ ├── model.py │ ├── predict.py │ └── train.py ├── Test6_mobilenet │ ├── class_indices.json │ ├── model_v2.py │ ├── model_v3.py │ ├── predict.py │ └── train.py ├── Test7_shufflenet │ ├── README.md │ ├── class_indices.json │ ├── model.py │ ├── my_dataset.py │ ├── predict.py │ ├── train.py │ └── utils.py ├── Test8_densenet │ ├── README.md │ ├── model.py │ ├── my_dataset.py │ ├── predict.py │ ├── train.py │ └── utils.py ├── Test9_efficientNet │ ├── README.md │ ├── model.py │ ├── my_dataset.py │ ├── predict.py │ ├── requirements.txt │ ├── train.py │ ├── trans_weights_to_pytorch.py │ └── utils.py ├── analyze_weights_featuremap │ ├── alexnet_model.py │ ├── analyze_feature_map.py │ ├── analyze_kernel_weight.py │ └── resnet_model.py ├── custom_dataset │ ├── main.py │ ├── my_dataset.py │ └── utils.py ├── grad_cam │ ├── README.md │ ├── both.png │ ├── imagenet1k_classes.txt │ ├── imagenet21k_classes.txt │ ├── main_cnn.py │ ├── main_swin.py │ ├── main_vit.py │ ├── swin_model.py │ ├── utils.py │ └── vit_model.py ├── mini_imagenet │ ├── README.md │ ├── imagenet_class_index.json │ ├── model.py │ ├── multi_train_utils │ │ ├── __init__.py │ │ ├── distributed_utils.py │ │ └── train_eval_utils.py │ ├── my_dataset.py │ ├── restructure_csv.py │ ├── train_multi_gpu_using_launch.py │ └── train_single_gpu.py ├── model_complexity │ ├── main.py │ ├── model.py │ └── utils.py ├── swin_transformer │ ├── README.md │ ├── create_confusion_matrix.py │ ├── model.py │ ├── my_dataset.py │ ├── predict.py │ ├── select_incorrect_samples.py │ ├── train.py │ └── utils.py ├── tensorboard_test │ ├── data_utils.py │ ├── model.py │ ├── my_dataset.py │ ├── requirements.txt │ ├── train.py │ └── train_eval_utils.py ├── train_multi_GPU │ ├── README.md │ ├── accuracy.png │ ├── model.py │ ├── multi_train_utils │ │ ├── distributed_utils.py │ │ └── train_eval_utils.py │ ├── my_dataset.py │ ├── plot_results.py │ ├── requirements.txt │ ├── runs │ │ └── Nov07_18-58-35_wz │ │ │ └── events.out.tfevents.1604746311.localhost.41577.0 │ ├── syncbn.png │ ├── train_multi_gpu_using_launch.py │ ├── train_multi_gpu_using_spawn.py │ ├── train_single_gpu.py │ ├── training_time.png │ └── utils.py └── vision_transformer │ ├── README.md │ ├── flops.py │ ├── my_dataset.py │ ├── predict.py │ ├── train.py │ ├── utils.py │ └── vit_model.py ├── pytorch_keypoint ├── DeepPose │ ├── README.md │ ├── datasets.py │ ├── export_onnx.py │ ├── model.py │ ├── predict.jpg │ ├── predict.py │ ├── requirements.txt │ ├── test_img.jpg │ ├── train.py │ ├── train_multi_GPU.py │ ├── train_utils │ │ ├── distributed_utils.py │ │ ├── losses.py │ │ ├── metrics.py │ │ └── train_eval_utils.py │ ├── transforms.py │ ├── utils.py │ └── wflw_horizontal_flip_indices.py └── HRNet │ ├── HRNet.png │ ├── README.md │ ├── draw_utils.py │ ├── model │ ├── __init__.py │ └── hrnet.py │ ├── my_dataset_coco.py │ ├── person.png │ ├── person_keypoints.json │ ├── plot_curve.py │ ├── predict.py │ ├── requirements.txt │ ├── train.py │ ├── train_multi_GPU.py │ ├── train_utils │ ├── __init__.py │ ├── coco_eval.py │ ├── coco_utils.py │ ├── distributed_utils.py │ ├── group_by_aspect_ratio.py │ ├── loss.py │ └── train_eval_utils.py │ ├── transforms.py │ └── validation.py ├── pytorch_object_detection ├── faster_rcnn │ ├── README.md │ ├── backbone │ │ ├── __init__.py │ │ ├── feature_pyramid_network.py │ │ ├── mobilenetv2_model.py │ │ ├── resnet50_fpn_model.py │ │ └── vgg_model.py │ ├── change_backbone_with_fpn.py │ ├── change_backbone_without_fpn.py │ ├── draw_box_utils.py │ ├── fasterRCNN.png │ ├── my_dataset.py │ ├── network_files │ │ ├── __init__.py │ │ ├── boxes.py │ │ ├── det_utils.py │ │ ├── faster_rcnn_framework.py │ │ ├── image_list.py │ │ ├── roi_head.py │ │ ├── rpn_function.py │ │ └── transform.py │ ├── pascal_voc_classes.json │ ├── plot_curve.py │ ├── predict.py │ ├── record_mAP.txt │ ├── requirements.txt │ ├── split_data.py │ ├── train_mobilenetv2.py │ ├── train_multi_GPU.py │ ├── train_res50_fpn.py │ ├── train_utils │ │ ├── __init__.py │ │ ├── coco_eval.py │ │ ├── coco_utils.py │ │ ├── distributed_utils.py │ │ ├── group_by_aspect_ratio.py │ │ └── train_eval_utils.py │ ├── transforms.py │ └── validation.py ├── mask_rcnn │ ├── README.md │ ├── backbone │ │ ├── __init__.py │ │ ├── feature_pyramid_network.py │ │ └── resnet50_fpn_model.py │ ├── coco91_indices.json │ ├── det_results20220406-141544.txt │ ├── draw_box_utils.py │ ├── my_dataset_coco.py │ ├── my_dataset_voc.py │ ├── network_files │ │ ├── __init__.py │ │ ├── boxes.py │ │ ├── det_utils.py │ │ ├── faster_rcnn_framework.py │ │ ├── image_list.py │ │ ├── mask_rcnn.py │ │ ├── roi_head.py │ │ ├── rpn_function.py │ │ └── transform.py │ ├── pascal_voc_indices.json │ ├── plot_curve.py │ ├── predict.py │ ├── requirements.txt │ ├── seg_results20220406-141544.txt │ ├── train.py │ ├── train_multi_GPU.py │ ├── train_utils │ │ ├── __init__.py │ │ ├── coco_eval.py │ │ ├── coco_utils.py │ │ ├── distributed_utils.py │ │ ├── group_by_aspect_ratio.py │ │ └── train_eval_utils.py │ ├── transforms.py │ └── validation.py ├── retinaNet │ ├── README.md │ ├── backbone │ │ ├── __init__.py │ │ ├── feature_pyramid_network.py │ │ └── resnet50_fpn_model.py │ ├── draw_box_utils.py │ ├── my_dataset.py │ ├── network_files │ │ ├── __init__.py │ │ ├── anchor_utils.py │ │ ├── boxes.py │ │ ├── det_utils.py │ │ ├── image_list.py │ │ ├── losses.py │ │ ├── retinanet.py │ │ └── transform.py │ ├── pascal_voc_classes.json │ ├── plot_curve.py │ ├── predict.py │ ├── requirements.txt │ ├── results20210421-142632.txt │ ├── train.py │ ├── train_multi_GPU.py │ ├── train_utils │ │ ├── __init__.py │ │ ├── coco_eval.py │ │ ├── coco_utils.py │ │ ├── distributed_utils.py │ │ ├── group_by_aspect_ratio.py │ │ └── train_eval_utils.py │ ├── transforms.py │ └── validation.py ├── ssd │ ├── README.md │ ├── draw_box_utils.py │ ├── my_dataset.py │ ├── pascal_voc_classes.json │ ├── plot_curve.py │ ├── predict_test.py │ ├── record_mAP.txt │ ├── requirements.txt │ ├── res50_ssd.png │ ├── src │ │ ├── __init__.py │ │ ├── res50_backbone.py │ │ ├── ssd_model.py │ │ └── utils.py │ ├── train_multi_GPU.py │ ├── train_ssd300.py │ ├── train_utils │ │ ├── __init__.py │ │ ├── coco_eval.py │ │ ├── coco_utils.py │ │ ├── distributed_utils.py │ │ ├── group_by_aspect_ratio.py │ │ └── train_eval_utils.py │ ├── transforms.py │ └── validation.py ├── train_coco_dataset │ ├── README.md │ ├── backbone │ │ ├── __init__.py │ │ ├── feature_pyramid_network.py │ │ ├── mobilenetv2_model.py │ │ ├── resnet.py │ │ ├── resnet50_fpn_model.py │ │ └── vgg_model.py │ ├── change_backbone_with_fpn.py │ ├── coco91_indices.json │ ├── compute_receptive_field.py │ ├── draw_box_utils.py │ ├── my_dataset.py │ ├── network_files │ │ ├── __init__.py │ │ ├── boxes.py │ │ ├── det_utils.py │ │ ├── faster_rcnn_framework.py │ │ ├── image_list.py │ │ ├── roi_head.py │ │ ├── rpn_function.py │ │ └── transform.py │ ├── plot_curve.py │ ├── predict.py │ ├── requirements.txt │ ├── results20220408-201436.txt │ ├── train.py │ ├── train_multi_GPU.py │ ├── train_utils │ │ ├── __init__.py │ │ ├── coco_eval.py │ │ ├── distributed_utils.py │ │ ├── group_by_aspect_ratio.py │ │ └── train_eval_utils.py │ ├── transforms.py │ └── validation.py └── yolov3_spp │ ├── README.md │ ├── build_utils │ ├── __init__.py │ ├── datasets.py │ ├── img_utils.py │ ├── layers.py │ ├── parse_config.py │ ├── torch_utils.py │ └── utils.py │ ├── calculate_dataset.py │ ├── cfg │ ├── hyp.yaml │ └── yolov3-spp.cfg │ ├── data │ └── pascal_voc_classes.json │ ├── draw_box_utils.py │ ├── export_onnx.py │ ├── load_onnx_test.py │ ├── models.py │ ├── predict_test.py │ ├── requirements.txt │ ├── results20210515-152935.txt │ ├── runs │ └── Oct28_17-55-29_wz │ │ └── events.out.tfevents.1603791769.localhost.localdomain.178338.0 │ ├── train.py │ ├── train_multi_GPU.py │ ├── train_utils │ ├── __init__.py │ ├── coco_eval.py │ ├── coco_utils.py │ ├── distributed_utils.py │ ├── group_by_aspect_ratio.py │ └── train_eval_utils.py │ ├── trans_voc2yolo.py │ ├── validation.py │ └── yolov3spp.png ├── pytorch_segmentation ├── deeplab_v3 │ ├── README.md │ ├── deeplabv3_resnet50.png │ ├── get_palette.py │ ├── my_dataset.py │ ├── palette.json │ ├── pascal_voc_classes.json │ ├── predict.py │ ├── requirements.txt │ ├── results20211027-104607.txt │ ├── src │ │ ├── __init__.py │ │ ├── deeplabv3_model.py │ │ ├── mobilenet_backbone.py │ │ └── resnet_backbone.py │ ├── train.py │ ├── train_multi_GPU.py │ ├── train_utils │ │ ├── __init__.py │ │ ├── distributed_utils.py │ │ └── train_and_eval.py │ ├── transforms.py │ └── validation.py ├── fcn │ ├── README.md │ ├── get_palette.py │ ├── my_dataset.py │ ├── palette.json │ ├── pascal_voc_classes.json │ ├── predict.py │ ├── requirements.txt │ ├── results20210918-122740.txt │ ├── src │ │ ├── __init__.py │ │ ├── backbone.py │ │ └── fcn_model.py │ ├── torch_fcn.png │ ├── train.py │ ├── train_multi_GPU.py │ ├── train_utils │ │ ├── __init__.py │ │ ├── distributed_utils.py │ │ └── train_and_eval.py │ ├── transforms.py │ └── validation.py ├── lraspp │ ├── README.md │ ├── get_palette.py │ ├── lraspp.png │ ├── my_dataset.py │ ├── palette.json │ ├── pascal_voc_classes.json │ ├── predict.py │ ├── requirements.txt │ ├── results20211028-105233.txt │ ├── src │ │ ├── __init__.py │ │ ├── lraspp_model.py │ │ └── mobilenet_backbone.py │ ├── train.py │ ├── train_multi_GPU.py │ ├── train_utils │ │ ├── __init__.py │ │ ├── distributed_utils.py │ │ └── train_and_eval.py │ ├── transforms.py │ └── validation.py ├── u2net │ ├── README.md │ ├── convert_weight.py │ ├── my_dataset.py │ ├── predict.py │ ├── requirements.txt │ ├── results20220723-123632.txt │ ├── src │ │ ├── __init__.py │ │ └── model.py │ ├── train.py │ ├── train_multi_GPU.py │ ├── train_utils │ │ ├── __init__.py │ │ ├── distributed_utils.py │ │ └── train_and_eval.py │ ├── transforms.py │ ├── u2net.png │ └── validation.py └── unet │ ├── README.md │ ├── compute_mean_std.py │ ├── my_dataset.py │ ├── predict.py │ ├── requirements.txt │ ├── results20220109-165837.txt │ ├── src │ ├── __init__.py │ ├── mobilenet_unet.py │ ├── unet.py │ └── vgg_unet.py │ ├── train.py │ ├── train_multi_GPU.py │ ├── train_utils │ ├── __init__.py │ ├── dice_coefficient_loss.py │ ├── distributed_utils.py │ └── train_and_eval.py │ ├── transforms.py │ └── unet.png ├── summary_problem.md └── tensorflow_classification ├── ConfusionMatrix ├── class_indices.json ├── main.py └── model.py ├── ConvNeXt ├── model.py ├── predict.py ├── train.py ├── trans_weights.py └── utils.py ├── README.md ├── Test11_efficientnetV2 ├── model.py ├── predict.py ├── train.py ├── trans_weights.py └── utils.py ├── Test1_official_demo ├── model.py └── train.py ├── Test2_alexnet ├── class_indices.json ├── fine_train_alexnet.py ├── model.py ├── predict.py ├── read_pth.py ├── train.py └── trainGPU.py ├── Test3_vgg ├── class_indices.json ├── fine_train_vgg16.py ├── model.py ├── predict.py ├── read_ckpt.py ├── train.py └── trainGPU.py ├── Test4_goolenet ├── class_indices.json ├── model.py ├── model_add_bn.py ├── predict.py ├── read_pth.py ├── train.py ├── trainGPU.py └── train_add_bn.py ├── Test5_resnet ├── batch_predict.py ├── class_indices.json ├── model.py ├── predict.py ├── read_ckpt.py ├── read_h5.py ├── subclassed_model.py ├── train.py └── trainGPU.py ├── Test6_mobilenet ├── model_v2.py ├── model_v3.py ├── predict.py ├── read_ckpt.py ├── trainGPU_mobilenet_v2.py ├── train_mobilenet_v2.py ├── train_mobilenet_v3.py ├── trans_v3_weights.py └── utils.py ├── Test7_shuffleNet ├── model.py ├── predict.py ├── train.py ├── trans_weights.py └── utils.py ├── Test9_efficientNet ├── model.py ├── predict.py ├── train.py └── utils.py ├── analyze_weights_featuremap ├── alexnet_model.py ├── analyze_feature_map.py └── analyze_kernel_weight.py ├── custom_dataset ├── train_fit.py └── utils.py ├── swin_transformer ├── model.py ├── 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