├── .gitignore ├── LICENSE ├── README.md ├── docs ├── AI环境下载地址.md ├── alipay │ ├── keys │ │ ├── alipay_key_2048.txt │ │ └── private_2048.txt │ └── 说明.docx ├── tenxun_sms │ ├── example_send_msg.py │ └── 短信云.docx └── whls │ ├── DCNv2_latest-master.zip │ ├── adaPool-main.zip │ ├── pytorch_ranger-0.1.1-py3-none-any.whl │ └── torch_optimizer-0.3.0-py3-none-any.whl ├── python_developer_tools ├── __init__.py ├── c++ │ ├── README.md │ └── qt │ │ ├── qt-post-form-file.cpp │ │ ├── qt-post-form.cpp │ │ └── qt-post-json.cpp ├── cv │ ├── MLP │ │ └── README.md │ ├── PyTorch_Networks │ │ ├── Attention │ │ │ ├── ANN.py │ │ │ ├── CBAM.py │ │ │ ├── CCNet.py │ │ │ ├── ECA-Net.py │ │ │ ├── GlobalContextBlock.py │ │ │ ├── NonLocalBlock.py │ │ │ ├── README.md │ │ │ ├── SENet.py │ │ │ ├── SEvariants.py │ │ │ └── TripletAttention.py │ │ ├── FaceDetectorAndRecognition │ │ │ ├── FaceBoxes.py │ │ │ ├── LFFD.py │ │ │ ├── README.md │ │ │ └── VarGFaceNet.py │ │ ├── HumanPoseEstimation │ │ │ ├── Hourglass.py │ │ │ ├── LPN.py │ │ │ ├── README.md │ │ │ ├── SimpleBaseline.py │ │ │ └── context_block.py │ │ ├── InstanceSegmentation │ │ │ ├── PolarMask.py │ │ │ └── README.md │ │ ├── ObjectDetection │ │ │ ├── ASFF.py │ │ │ ├── CenterNet.py │ │ │ ├── CornerNet.py │ │ │ ├── FCOS.py │ │ │ ├── FPN.py │ │ │ ├── FSAF.py │ │ │ ├── FisheyeMODNet.py │ │ │ ├── FoveaBox.py │ │ │ ├── README.md │ │ │ ├── RetinaNet.py │ │ │ ├── SSD.py │ │ │ ├── VoVNet.py │ │ │ ├── VoVNetV2.py │ │ │ ├── YOLO.py │ │ │ ├── YOLO_Nano.py │ │ │ ├── YOLOv2.py │ │ │ └── YOLOv3.py │ │ ├── PortraitSegmentation │ │ │ └── SINet.py │ │ ├── README.md │ │ ├── SemanticSegmentation │ │ │ ├── DeeplabV3Plus.py │ │ │ ├── ENet.py │ │ │ ├── FCN.py │ │ │ ├── FastSCNN.py │ │ │ ├── FisheyeMODNet.py │ │ │ ├── ICNet.py │ │ │ ├── LEDnet.py │ │ │ ├── LRNnet.py │ │ │ ├── LWnet.py │ │ │ ├── README.md │ │ │ ├── SegNet.py │ │ │ └── Unet.py │ │ ├── Utils │ │ │ └── utils.py │ │ └── requirements.txt │ ├── README.md │ ├── Transformer │ │ ├── CrossFormer.md │ │ ├── LG-Transformer.md │ │ ├── Swin-Transformer-Object-Detection │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ └── changemaskrcnn.py │ │ ├── TNT.md │ │ ├── ViT.md │ │ ├── __init__.py │ │ ├── 发展史 │ │ │ ├── 分类.png │ │ │ └── 发展史.jpg │ │ └── 目标跟踪 │ │ │ └── STARK.md │ ├── __init__.py │ ├── bases │ │ ├── BatchNormalization │ │ │ └── README.md │ │ ├── Dropout │ │ │ └── README.md │ │ ├── FC │ │ │ ├── README.md │ │ │ ├── SSM.py │ │ │ ├── SwishLinear.py │ │ │ └── __init__.py │ │ ├── __init__.py │ │ ├── activates │ │ │ ├── APReLU.py │ │ │ ├── Basic-idea-of-APReLU.png │ │ │ ├── DynamicReLU.png │ │ │ ├── DynamicReLU.py │ │ │ ├── GELU │ │ │ │ ├── GELU.png │ │ │ │ ├── GELU.py │ │ │ │ └── __init__.py │ │ │ ├── README.md │ │ │ ├── Serf.py │ │ │ ├── __init__.py │ │ │ ├── serf.png │ │ │ ├── sigmoid.py │ │ │ ├── softmax_sequence.py │ │ │ ├── softmaxseq.png │ │ │ └── swish.py │ │ ├── attentions │ │ │ ├── README.md │ │ │ ├── ResidualAttention.png │ │ │ ├── ResidualAttention.py │ │ │ ├── SEAttention.png │ │ │ ├── SEAttention.py │ │ │ ├── SimAM-master │ │ │ │ ├── .gitignore │ │ │ │ ├── README.md │ │ │ │ ├── __init__.py │ │ │ │ ├── checkpoint.py │ │ │ │ ├── figures │ │ │ │ │ ├── attentions.png │ │ │ │ │ └── training_curves.png │ │ │ │ ├── main_cifar.py │ │ │ │ ├── main_imagenet.py │ │ │ │ ├── mmdetection │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── configs │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── _base_ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── models │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── faster_rcnn_r50simam_fpn.py │ │ │ │ │ │ │ │ └── mask_rcnn_r50simam_fpn.py │ │ │ │ │ │ │ └── schedules │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ └── schedule_1x_lr0.01.py │ │ │ │ │ │ ├── faster_rcnn │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── faster_rcnn_r101simam_fpn_1x_coco.py │ │ │ │ │ │ │ └── faster_rcnn_r50simam_fpn_1x_coco.py │ │ │ │ │ │ └── mask_rcnn │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── mask_rcnn_r101simam_fpn_1x_coco.py │ │ │ │ │ │ │ └── mask_rcnn_r50simam_fpn_1x_coco.py │ │ │ │ │ └── mmdet │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ └── models │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ └── backbones │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── attentions │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ └── simam_module.py │ │ │ │ │ │ └── resnet_simam.py │ │ │ │ ├── networks │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── attentions │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── cbam_module.py │ │ │ │ │ │ ├── se_module.py │ │ │ │ │ │ └── simam_module.py │ │ │ │ │ ├── cifar │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── block.py │ │ │ │ │ │ ├── mobilenetv2.py │ │ │ │ │ │ ├── preresnet.py │ │ │ │ │ │ ├── resnet.py │ │ │ │ │ │ └── wideresnet.py │ │ │ │ │ └── imagenet │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── mobilenetv2.py │ │ │ │ │ │ └── resnet.py │ │ │ │ └── util.py │ │ │ └── __init__.py │ │ ├── channels │ │ │ └── channels.py │ │ ├── conv │ │ │ ├── CoTNet │ │ │ │ ├── CoTNet-master │ │ │ │ │ ├── .gitignore │ │ │ │ │ ├── LICENSE │ │ │ │ │ ├── README.md │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── config │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── config.py │ │ │ │ │ │ └── constants.py │ │ │ │ │ ├── cot_experiments │ │ │ │ │ │ ├── CoTNeXt-101-350epoch │ │ │ │ │ │ │ ├── config.yaml │ │ │ │ │ │ │ └── train.sh │ │ │ │ │ │ ├── CoTNeXt-50-350epoch │ │ │ │ │ │ │ ├── config.yaml │ │ │ │ │ │ │ └── train.sh │ │ │ │ │ │ ├── CoTNet-101-350epoch │ │ │ │ │ │ │ ├── config.yaml │ │ │ │ │ │ │ └── train.sh │ │ │ │ │ │ ├── CoTNet-50-350epoch │ │ │ │ │ │ │ ├── config.yaml │ │ │ │ │ │ │ └── train.sh │ │ │ │ │ │ ├── SE-CoTNetD-101_350epoch │ │ │ │ │ │ │ ├── config.yaml │ │ │ │ │ │ │ └── train.sh │ │ │ │ │ │ ├── SE-CoTNetD-152_350epoch │ │ │ │ │ │ │ ├── config.yaml │ │ │ │ │ │ │ └── train.sh │ │ │ │ │ │ └── SE-CoTNetD-50_350epoch │ │ │ │ │ │ │ ├── config.yaml │ │ │ │ │ │ │ └── train.sh │ │ │ │ │ ├── cupy_layers │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── aggregation_refpad.py │ │ │ │ │ │ ├── aggregation_zeropad.py │ │ │ │ │ │ ├── aggregation_zeropad_dilate.py │ │ │ │ │ │ ├── aggregation_zeropad_mix.py │ │ │ │ │ │ ├── aggregation_zeropad_mix_merge.py │ │ │ │ │ │ └── utils.py │ │ │ │ │ ├── datasets │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── auto_augment.py │ │ │ │ │ │ ├── config.py │ │ │ │ │ │ ├── constants.py │ │ │ │ │ │ ├── dataset.py │ │ │ │ │ │ ├── distributed_sampler.py │ │ │ │ │ │ ├── loader.py │ │ │ │ │ │ ├── mixup.py │ │ │ │ │ │ ├── rand_augment.py │ │ │ │ │ │ ├── random_erasing.py │ │ │ │ │ │ ├── real_labels.py │ │ │ │ │ │ ├── tf_preprocessing.py │ │ │ │ │ │ ├── transforms.py │ │ │ │ │ │ └── transforms_factory.py │ │ │ │ │ ├── evaler │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ └── evaler.py │ │ │ │ │ ├── images │ │ │ │ │ │ ├── framework.jpg │ │ │ │ │ │ └── inference_time.jpg │ │ │ │ │ ├── loss │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── asymmetric_loss.py │ │ │ │ │ │ ├── cross_entropy.py │ │ │ │ │ │ └── jsd.py │ │ │ │ │ ├── models │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── botnet.py │ │ │ │ │ │ ├── cait.py │ │ │ │ │ │ ├── coat.py │ │ │ │ │ │ ├── convit.py │ │ │ │ │ │ ├── cotnet.py │ │ │ │ │ │ ├── cotnet_hybrid.py │ │ │ │ │ │ ├── densenet.py │ │ │ │ │ │ ├── efficientnet.py │ │ │ │ │ │ ├── efficientnet_blocks.py │ │ │ │ │ │ ├── efficientnet_builder.py │ │ │ │ │ │ ├── factory.py │ │ │ │ │ │ ├── features.py │ │ │ │ │ │ ├── helpers.py │ │ │ │ │ │ ├── lambdAnet.py │ │ │ │ │ │ ├── layers │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── activations.py │ │ │ │ │ │ │ ├── activations_jit.py │ │ │ │ │ │ │ ├── activations_me.py │ │ │ │ │ │ │ ├── adaptive_avgmax_pool.py │ │ │ │ │ │ │ ├── anti_aliasing.py │ │ │ │ │ │ │ ├── blur_pool.py │ │ │ │ │ │ │ ├── cbam.py │ │ │ │ │ │ │ ├── classifier.py │ │ │ │ │ │ │ ├── cond_conv2d.py │ │ │ │ │ │ │ ├── config.py │ │ │ │ │ │ │ ├── conv2d_same.py │ │ │ │ │ │ │ ├── conv_bn_act.py │ │ │ │ │ │ │ ├── create_act.py │ │ │ │ │ │ │ ├── create_attn.py │ │ │ │ │ │ │ ├── create_conv2d.py │ │ │ │ │ │ │ ├── create_norm_act.py │ │ │ │ │ │ │ ├── drop.py │ │ │ │ │ │ │ ├── eca.py │ │ │ │ │ │ │ ├── evo_norm.py │ │ │ │ │ │ │ ├── helpers.py │ │ │ │ │ │ │ ├── inplace_abn.py │ │ │ │ │ │ │ ├── kerv2d.py │ │ │ │ │ │ │ ├── median_pool.py │ │ │ │ │ │ │ ├── mixed_conv2d.py │ │ │ │ │ │ │ ├── mlp.py │ │ │ │ │ │ │ ├── norm_act.py │ │ │ │ │ │ │ ├── padding.py │ │ │ │ │ │ │ ├── patch_embed.py │ │ │ │ │ │ │ ├── pool2d_same.py │ │ │ │ │ │ │ ├── se.py │ │ │ │ │ │ │ ├── selective_kernel.py │ │ │ │ │ │ │ ├── separable_conv.py │ │ │ │ │ │ │ ├── shiftlution.py │ │ │ │ │ │ │ ├── space_to_depth.py │ │ │ │ │ │ │ ├── split_attn.py │ │ │ │ │ │ │ ├── split_batchnorm.py │ │ │ │ │ │ │ ├── std_conv.py │ │ │ │ │ │ │ ├── tbconv.py │ │ │ │ │ │ │ ├── test_time_pool.py │ │ │ │ │ │ │ └── weight_init.py │ │ │ │ │ │ ├── levit.py │ │ │ │ │ │ ├── lr_net.py │ │ │ │ │ │ ├── pit.py │ │ │ │ │ │ ├── psresnet.py │ │ │ │ │ │ ├── registry.py │ │ │ │ │ │ ├── regnet.py │ │ │ │ │ │ ├── res2net.py │ │ │ │ │ │ ├── resnest.py │ │ │ │ │ │ ├── resnet.py │ │ │ │ │ │ ├── resnet_dw.py │ │ │ │ │ │ ├── resnet_rs.py │ │ │ │ │ │ ├── resnetv2.py │ │ │ │ │ │ ├── rexnet.py │ │ │ │ │ │ ├── san_lowrank.py │ │ │ │ │ │ ├── sknet.py │ │ │ │ │ │ ├── swin_transformer.py │ │ │ │ │ │ ├── tnt.py │ │ │ │ │ │ ├── twins.py │ │ │ │ │ │ ├── visformer.py │ │ │ │ │ │ ├── vision_transformer.py │ │ │ │ │ │ ├── vision_transformer_hybrid.py │ │ │ │ │ │ ├── xception.py │ │ │ │ │ │ └── xcit.py │ │ │ │ │ ├── optim │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── adafactor.py │ │ │ │ │ │ ├── adahessian.py │ │ │ │ │ │ ├── adamp.py │ │ │ │ │ │ ├── adamw.py │ │ │ │ │ │ ├── lookahead.py │ │ │ │ │ │ ├── nadam.py │ │ │ │ │ │ ├── novograd.py │ │ │ │ │ │ ├── nvnovograd.py │ │ │ │ │ │ ├── optim_factory.py │ │ │ │ │ │ ├── radam.py │ │ │ │ │ │ ├── rmsprop_tf.py │ │ │ │ │ │ └── sgdp.py │ │ │ │ │ ├── scheduler │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── cosine_lr.py │ │ │ │ │ │ ├── plateau_lr.py │ │ │ │ │ │ ├── scheduler.py │ │ │ │ │ │ ├── scheduler_factory.py │ │ │ │ │ │ ├── step_lr.py │ │ │ │ │ │ └── tanh_lr.py │ │ │ │ │ ├── train.py │ │ │ │ │ └── utils │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── checkpoint_saver.py │ │ │ │ │ │ ├── clip_grad.py │ │ │ │ │ │ ├── cuda.py │ │ │ │ │ │ ├── distributed.py │ │ │ │ │ │ ├── flops_counter.py │ │ │ │ │ │ ├── jit.py │ │ │ │ │ │ ├── logger.py │ │ │ │ │ │ ├── meters.py │ │ │ │ │ │ ├── misc.py │ │ │ │ │ │ ├── model.py │ │ │ │ │ │ ├── model_ema.py │ │ │ │ │ │ └── timer.py │ │ │ │ ├── README.md │ │ │ │ ├── __init__.py │ │ │ │ └── cotnet.py │ │ │ ├── CondConv.py │ │ │ ├── CoordConv2d.py │ │ │ ├── DCNv2 │ │ │ │ ├── DCNv2.py │ │ │ │ └── __init__.py │ │ │ ├── DY_Conv2d.py │ │ │ ├── DepthSpatialSepConvs.py │ │ │ ├── Involution.py │ │ │ ├── MBConv.py │ │ │ ├── README.md │ │ │ └── __init__.py │ │ ├── input_conv │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── focus.py │ │ │ └── space_to_depth.py │ │ ├── layers │ │ │ ├── README.md │ │ │ └── SNL.png │ │ ├── pool │ │ │ ├── AvgPool2d.py │ │ │ ├── BlurPool.py │ │ │ ├── MaxGroupPooling.py │ │ │ ├── README.md │ │ │ ├── SPP.png │ │ │ ├── SPP.py │ │ │ ├── ShapeAdaptor.py │ │ │ ├── __init__.py │ │ │ ├── adaPooldemo.py │ │ │ └── softpoolDemo.py │ │ └── regularization.py │ ├── classes │ │ ├── AlexNet.py │ │ ├── DenseNet.py │ │ ├── Efficientnet.py │ │ ├── GhostNet.py │ │ ├── InceptionV1.py │ │ ├── InceptionV2.py │ │ ├── InceptionV3.py │ │ ├── MixNet.py │ │ ├── MobileNetV1.py │ │ ├── MobileNetV2.py │ │ ├── MobileNetV3.py │ │ ├── MobileNetXt.py │ │ ├── README.md │ │ ├── ResNeXt.py │ │ ├── ResNet.py │ │ ├── ShuffleNet.py │ │ ├── ShuffleNetV2.py │ │ ├── SqueezeNet.py │ │ ├── VGGNet.py │ │ ├── Xception.py │ │ ├── __init__.py │ │ ├── micronet.py │ │ ├── repVGGNet.py │ │ └── transferTorch.py │ ├── datasets │ │ ├── README.md │ │ ├── TT100K │ │ │ ├── README.md │ │ │ ├── anno_func.py │ │ │ ├── 将TT100K转换为一个xml一张图片.py │ │ │ └── 读取数据集并且画在图片上.py │ │ ├── __init__.py │ │ ├── classes │ │ │ ├── APR.png │ │ │ ├── APR.py │ │ │ ├── __init__.py │ │ │ └── class_imgaug.py │ │ ├── coco │ │ │ ├── __init__.py │ │ │ ├── get_coco_mask.py │ │ │ └── labelme2coco.py │ │ ├── datasets_utils.py │ │ ├── imgaug_utils.py │ │ ├── line_imgaug.py │ │ └── 模拟灯光照 │ │ │ ├── 2020063010140796.jpg │ │ │ ├── __init__.py │ │ │ ├── demo1.py │ │ │ └── demo2.py │ ├── deploy │ │ ├── README.md │ │ ├── __init__.py │ │ ├── inferTensorrt │ │ │ └── infer_net3_tensorrt3_tta.py │ │ ├── model_compression │ │ │ ├── __init__.py │ │ │ └── quantization │ │ │ │ ├── __init__.py │ │ │ │ ├── optimize_utils.py │ │ │ │ ├── shufflenet_v2_x0_5_train.pt │ │ │ │ └── torch_fuse.py │ │ ├── more_gpu_deploy.py │ │ ├── predict.py │ │ └── pt2onnx │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── demo1-hrnet │ │ │ ├── __init__.py │ │ │ ├── infer_net1_onnx_tensorrt.py │ │ │ ├── torch2onnx-integrate.py │ │ │ ├── torch2onnx.py │ │ │ ├── torch2onnx2.py │ │ │ ├── torch2onnx3-tta.py │ │ │ └── torch2onnx3.py │ │ │ ├── demo2 │ │ │ ├── base2onnx.py │ │ │ └── base2onnx_12.py │ │ │ └── demo3-lcnn │ │ │ ├── creepageDistanceModel │ │ │ ├── config.py │ │ │ ├── models_creepage.py │ │ │ └── wireframe.yaml │ │ │ ├── infer_onnx_onnxruntime_cpu.py │ │ │ ├── infer_onnx_onnxruntime_gpu.py │ │ │ ├── infer_onnx_tensorrt.py │ │ │ ├── infer_torch.py │ │ │ └── torch2onnx.py │ ├── detection │ │ ├── CenterNet2 │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ └── changecenternet2.py │ │ ├── README.md │ │ ├── __init__.py │ │ ├── involution │ │ │ └── README.md │ │ ├── tricks.md │ │ ├── yolor │ │ │ └── layers.py │ │ ├── yolov2.md │ │ ├── yolov5 │ │ │ ├── __init__.py │ │ │ ├── labelimg2YoloV5datasets │ │ │ │ ├── __init__.py │ │ │ │ ├── voc2coco.py │ │ │ │ ├── yolov5-labels.json │ │ │ │ ├── 删除没有对应xml的图片.py │ │ │ │ ├── 删除没有标签的图片和xml.py │ │ │ │ ├── 将xml数据集切分为coco的训练和验证数据集.py │ │ │ │ ├── 将预测结果转换为xml.py │ │ │ │ └── 清洗重复标签的脚本.py │ │ │ ├── test_GridSearch_yolov5x_solarcell.py │ │ │ ├── test_hyperopt_yolov5x_solarcell.py │ │ │ ├── 保存模型和读取模型.py │ │ │ └── 加载训练好模型的方式.md │ │ └── yolox │ │ │ ├── __init__.py │ │ │ ├── labelme2YoloXdatasets │ │ │ ├── __init__.py │ │ │ ├── txt2jsoncoco.py │ │ │ ├── 切分数据集.py │ │ │ ├── 删除没有标准的图片.py │ │ │ └── 存在重名的图片进行重命名.py │ │ │ └── 训练自己的数据集.md │ ├── label_tools.md │ ├── lines_detection │ │ ├── HoughLinesP_camera.py │ │ ├── LSD.py │ │ ├── __init__.py │ │ ├── deep_hough │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── _cdht │ │ │ │ ├── .gitignore │ │ │ │ ├── __init__.py │ │ │ │ ├── deep_hough_cuda.cpp │ │ │ │ ├── deep_hough_cuda_kernel.cu │ │ │ │ ├── dht_func.py │ │ │ │ └── setup.py │ │ │ ├── dht.py │ │ │ ├── pipeline.png │ │ │ └── users │ │ │ │ ├── __init__.py │ │ │ │ ├── fpn.py │ │ │ │ └── network.py │ │ ├── hough_utils.py │ │ ├── lcnn │ │ │ ├── README.md │ │ │ └── 解析.rp │ │ ├── line_distance.py │ │ ├── sdf11.jpg │ │ ├── vis_lines.py │ │ └── 找上升和下降最快的点.py │ ├── loss │ │ ├── CenterLoss.py │ │ ├── OIMloss.py │ │ ├── README.md │ │ ├── __init__.py │ │ ├── classes │ │ │ ├── LabelSmoothingCrossEntropy.py │ │ │ ├── TripletLoss.png │ │ │ ├── TripletLoss.py │ │ │ ├── __init__.py │ │ │ ├── cross_entropy.py │ │ │ └── focalloss.py │ │ ├── detection │ │ │ ├── __init__.py │ │ │ └── triplet_loss.py │ │ ├── dice_loss.py │ │ ├── focalloss.py │ │ ├── jointloss.py │ │ ├── ohem_loss.py │ │ ├── pytorchloss │ │ │ ├── .gitignore │ │ │ ├── LICENSE │ │ │ ├── README.md │ │ │ ├── affinity_loss.py │ │ │ ├── amsoftmax.py │ │ │ ├── csrc │ │ │ │ ├── common.hpp │ │ │ │ ├── cumsum.hpp │ │ │ │ ├── focal_kernel.cu │ │ │ │ ├── focal_kernel_old.cu │ │ │ │ ├── large_margin_kernel.cu │ │ │ │ ├── lovasz_softmax.cu │ │ │ │ ├── lovasz_softmax_old.cu │ │ │ │ ├── lsr_kernel.cu │ │ │ │ ├── mish_kernel.cu │ │ │ │ ├── ohem_label_kernel.cu │ │ │ │ ├── one_hot_kernel.cu │ │ │ │ ├── soft_dice_kernel.cu │ │ │ │ ├── soft_dice_kernel_v2.cu │ │ │ │ ├── swish_kernel.cu │ │ │ │ └── taylor_softmax.cu │ │ │ ├── dice_loss.py │ │ │ ├── dual_focal_loss.py │ │ │ ├── ema.py │ │ │ ├── generalized_iou_loss.py │ │ │ ├── hswish.py │ │ │ ├── label_smooth.py │ │ │ ├── lovasz_softmax.py │ │ │ ├── mish.py │ │ │ ├── one_hot.py │ │ │ ├── pc_softmax.py │ │ │ ├── pytorch_loss │ │ │ │ ├── affinity_loss.py │ │ │ │ ├── amsoftmax.py │ │ │ │ ├── dice_loss.py │ │ │ │ ├── dual_focal_loss.py │ │ │ │ ├── ema.py │ │ │ │ ├── focal_loss.py │ │ │ │ ├── focal_loss_old.py │ │ │ │ ├── frelu.py │ │ │ │ ├── generalized_iou_loss.py │ │ │ │ ├── hswish.py │ │ │ │ ├── label_smooth.py │ │ │ │ ├── large_margin_softmax.py │ │ │ │ ├── lovasz_softmax.py │ │ │ │ ├── mish.py │ │ │ │ ├── one_hot.py │ │ │ │ ├── pc_softmax.py │ │ │ │ ├── soft_dice_loss.py │ │ │ │ ├── swish.py │ │ │ │ ├── taylor_softmax.py │ │ │ │ └── test.py │ │ │ ├── setup.py │ │ │ ├── soft_dice_loss.py │ │ │ ├── swish.py │ │ │ └── taylor_softmax.py │ │ └── topk_crossEntrophy.py │ ├── metrics │ │ ├── __init__.py │ │ ├── common.py │ │ └── metrics.py │ ├── models │ │ ├── __init__.py │ │ ├── backones │ │ │ └── __init__.py │ │ ├── blocks │ │ │ ├── DYMicroBlock.py │ │ │ └── __init__.py │ │ ├── common │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ └── init_weight.py │ │ ├── head │ │ │ ├── __init__.py │ │ │ └── classes │ │ │ │ ├── MicroNet.py │ │ │ │ └── __init__.py │ │ └── necks │ │ │ └── deep_stem_layer.py │ ├── optimizer │ │ ├── Adagrad.png │ │ ├── Adam.png │ │ ├── Lookahead.py │ │ ├── RAdam.jpeg │ │ ├── RAdam.py │ │ ├── README.md │ │ ├── Ranger.py │ │ ├── SGD.png │ │ ├── ranger21 │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── chebyshev_lr_functions.py │ │ │ ├── ranger21.jpg │ │ │ ├── ranger21.py │ │ │ └── rangerabel.py │ │ ├── torchlars │ │ │ ├── .travis.yml │ │ │ ├── LICENSE │ │ │ ├── NOTICE │ │ │ ├── README.md │ │ │ ├── img │ │ │ │ └── resnet50_test_learning_curves.jpg │ │ │ ├── setup.cfg │ │ │ ├── setup.py │ │ │ ├── tests │ │ │ │ ├── __init__.py │ │ │ │ ├── test_compute_adaptive_lr.py │ │ │ │ └── test_pickle.py │ │ │ └── torchlars │ │ │ │ ├── __init__.py │ │ │ │ ├── __version__.py │ │ │ │ ├── adaptive_lr.cc │ │ │ │ ├── adaptive_lr_cuda.cu │ │ │ │ └── lars.py │ │ └── utils.py │ ├── post_processing │ │ ├── README.md │ │ ├── __init__.py │ │ └── tta.py │ ├── pre_processing │ │ ├── README.md │ │ ├── __init__.py │ │ ├── copy_paste.py │ │ └── learnableResizer.py │ ├── pytorch_opencv │ │ └── sobel.py │ ├── scheduler │ │ ├── CosineAnnealingWarmRestarts1.png │ │ ├── CosineAnnealingWarmRestarts2.png │ │ ├── CosineLR.jpg │ │ ├── CyclicLR.png │ │ ├── ExpLR.jpg │ │ ├── MultiStepLR.jpg │ │ ├── OneCycleLR.png │ │ ├── README.md │ │ ├── StepLR.jpg │ │ ├── __init__.py │ │ ├── poly_lr.py │ │ ├── scheduler_utils.py │ │ └── warmup_lr_scheduler.py │ ├── segmentation │ │ └── measure │ │ │ └── BoundaryIoU.md │ ├── train │ │ ├── WeightEMA_code.py │ │ ├── __init__.py │ │ ├── 不同数量卡训练 │ │ │ ├── README.md │ │ │ ├── main.py │ │ │ ├── train.sh │ │ │ ├── 单机单卡.py │ │ │ ├── 单机多卡.py │ │ │ └── 多机多卡.py │ │ ├── 二阶段训练 │ │ │ ├── __init__.py │ │ │ ├── swa_pytorch.py │ │ │ └── swaoffline.py │ │ ├── 对抗训练 │ │ │ ├── FGSM.py │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ └── adversarialattackspytorchmaster │ │ │ │ ├── .gitignore │ │ │ │ ├── CONTRIBUTING.md │ │ │ │ ├── LICENSE │ │ │ │ ├── README.md │ │ │ │ ├── README_KOR.md │ │ │ │ ├── UPDATE_HISTORY.md │ │ │ │ ├── __init__.py │ │ │ │ ├── demos │ │ │ │ ├── Adversairal Training (MNIST).ipynb │ │ │ │ ├── Model with Multiple Outputs.ipynb │ │ │ │ ├── Performance Comparison (CIFAR10).ipynb │ │ │ │ ├── Transfer Attack (CIFAR10).ipynb │ │ │ │ ├── White Box Attack (ImageNet).ipynb │ │ │ │ ├── checkpoint │ │ │ │ │ ├── holdout.pth │ │ │ │ │ └── target.pth │ │ │ │ ├── data │ │ │ │ │ ├── imagenet │ │ │ │ │ │ └── giant_panda │ │ │ │ │ │ │ └── 1.jpg │ │ │ │ │ └── imagenet_class_index.json │ │ │ │ ├── models.py │ │ │ │ └── utils.py │ │ │ │ ├── docs │ │ │ │ ├── Makefile │ │ │ │ ├── __init__.py │ │ │ │ ├── attack.rst │ │ │ │ ├── attacks.rst │ │ │ │ ├── conf.py │ │ │ │ ├── index.rst │ │ │ │ └── make.bat │ │ │ │ ├── pic │ │ │ │ ├── adv_kor.png │ │ │ │ ├── bim.png │ │ │ │ ├── clean.png │ │ │ │ ├── cw.png │ │ │ │ ├── deepfool.png │ │ │ │ ├── fgsm.png │ │ │ │ ├── pgd.png │ │ │ │ ├── rfgsm.png │ │ │ │ ├── rpgd.png │ │ │ │ └── stepll.png │ │ │ │ ├── requirements.txt │ │ │ │ └── torchattacks │ │ │ │ ├── __init__.py │ │ │ │ ├── attack.py │ │ │ │ └── attacks │ │ │ │ ├── __init__.py │ │ │ │ ├── _differential_evolution.py │ │ │ │ ├── apgd.py │ │ │ │ ├── apgdt.py │ │ │ │ ├── autoattack.py │ │ │ │ ├── bim.py │ │ │ │ ├── cw.py │ │ │ │ ├── deepfool.py │ │ │ │ ├── difgsm.py │ │ │ │ ├── eotpgd.py │ │ │ │ ├── fab.py │ │ │ │ ├── ffgsm.py │ │ │ │ ├── fgsm.py │ │ │ │ ├── gn.py │ │ │ │ ├── mifgsm.py │ │ │ │ ├── multiattack.py │ │ │ │ ├── onepixel.py │ │ │ │ ├── pgd.py │ │ │ │ ├── pgdl2.py │ │ │ │ ├── rfgsm.py │ │ │ │ ├── sparsefool.py │ │ │ │ ├── square.py │ │ │ │ ├── tifgsm.py │ │ │ │ ├── tpgd.py │ │ │ │ ├── upgd.py │ │ │ │ └── vanila.py │ │ ├── 知识蒸馏 │ │ │ └── README.md │ │ ├── 自动混合精度训练 │ │ │ ├── README.md │ │ │ ├── apex_utils.md │ │ │ └── test_amp_shufflenet.py │ │ └── 训练过程训练曲线调整.md │ ├── utils │ │ ├── PIL_utils.py │ │ ├── __init__.py │ │ ├── matplotlib_utils.py │ │ ├── opencv_utils │ │ │ ├── README.md │ │ │ ├── SkeletonOrigin.png │ │ │ ├── SkeletonOrigin2.jpg │ │ │ ├── __init__.py │ │ │ ├── basees.py │ │ │ ├── byo.py │ │ │ ├── new_find.py │ │ │ ├── 大图中找小图位置 │ │ │ │ ├── __init__.py │ │ │ │ ├── funcc1.py │ │ │ │ └── funcc21.py │ │ │ ├── 视频操作 │ │ │ │ ├── BackgroundSubtractorMOG.py │ │ │ │ ├── BackgroundSubtractorMOG2.py │ │ │ │ ├── __init__.py │ │ │ │ └── morphologyEx.py │ │ │ └── 骨架提取.py │ │ ├── optimizer_utils.py │ │ ├── skimage_utils.py │ │ ├── sklean_utils.py │ │ ├── tensorboard_demo.py │ │ ├── torch_utils.md │ │ └── torch_utils.py │ ├── 半监督 │ │ ├── MixMatch.py │ │ └── README.md │ ├── 好的论文但是还没有源代码或者我还没有理解的.md │ ├── 未分类的论文中的涨分tricks.md │ ├── 深度学习项目开发过程.xmind │ └── 自监督 │ │ └── README.md ├── files │ ├── __init__.py │ ├── common.py │ ├── execls │ │ ├── __init__.py │ │ ├── empty.xlsx │ │ └── execl_template_modify.py │ ├── image_utils.py │ ├── json_utils.py │ ├── modify_file_time.py │ ├── pickle_utils.py │ ├── txt_utils.py │ └── xml_utils.py ├── machinelearning │ ├── KFold.py │ ├── README.md │ ├── SVM.py │ ├── cross_val_score.py │ ├── knn.py │ └── lgb │ │ ├── predict.py │ │ └── train.py ├── numpys │ ├── __init__.py │ ├── numpy_convolution.py │ ├── numpy_demo.md │ ├── numpy_speed_utils.html │ ├── numpy_speed_utils.py │ └── numpy_utils.py ├── pandases │ ├── __init__.py │ └── pandas_utils.py ├── python │ ├── __init__.py │ ├── asyncio_utils.py │ ├── atexit_demo.py │ ├── dict_utils.py │ ├── imutils_utils.py │ ├── jupyter │ │ ├── exp4.png │ │ ├── html22.html │ │ ├── htmlToJupyter.py │ │ └── labels.json │ ├── list_utils.py │ ├── obj_utils.py │ ├── os环境变量和insert头.py │ ├── os调用shell命令并且获取返回值.py │ ├── packages.md │ ├── pymem │ │ ├── __init__.py │ │ ├── pymem_utils.py │ │ └── 教学文档1.0.md │ ├── string_utils.py │ ├── threadings │ │ ├── __init__.py │ │ ├── multiprocessing_demo.py │ │ ├── multiprocessing_utils.py │ │ ├── threading_demo1.py │ │ ├── threading_utils.py │ │ ├── threading_utils2.py │ │ ├── torchmodel_multithread │ │ │ ├── __init__.py │ │ │ ├── torchmutilprocessing.py │ │ │ ├── 两个模型串行跑.py │ │ │ ├── 使用协程的方法.py │ │ │ └── 使用线程池同时跑两个模型推理.py │ │ └── 进程共享类.py │ ├── time_utils.py │ ├── tuple_utils.py │ ├── yamls │ │ ├── box.py │ │ ├── read_yaml.py │ │ └── wireframe.yaml │ ├── 加速 │ │ ├── README.md │ │ └── test-python.py │ ├── 替换pytorch模型中任何一层.py │ ├── 正则re.py │ └── 获取电脑所有配置信息window.py ├── waigua │ ├── __init__.py │ └── ctypes_utils.py └── web │ ├── __init__.py │ ├── alipay_utils.py │ ├── django_utils.md │ ├── frontend │ ├── img.js │ └── oss-h5-upload-js-direct │ │ ├── index.html │ │ ├── style.css │ │ └── upload.js │ ├── multi_download.py │ ├── pythonsmb.py │ ├── requests_utils.py │ ├── response_utils.py │ ├── services_utils.py │ └── web.py ├── requirements.txt ├── setup.py ├── temimg ├── SSM.png └── learnableResizer.png ├── test ├── cv │ ├── bases │ │ ├── BatchNormalization │ │ │ └── train_inplace_abn.py │ │ ├── FC │ │ │ ├── train_SSM.py │ │ │ └── train_SwishLinear.py │ │ ├── activates │ │ │ ├── APReLUdemo.py │ │ │ ├── DynamicReLUdemo.py │ │ │ ├── test_GELU.py │ │ │ ├── test_serf.py │ │ │ └── test_sigmoid.py │ │ ├── attentions │ │ │ └── test_ResidualAttention.py │ │ ├── conv │ │ │ ├── train_CondConv.py │ │ │ ├── train_DCNv2.py │ │ │ ├── train_coordConv2d.py │ │ │ └── train_dy_conv.py │ │ ├── input_conv │ │ │ ├── train_focus.py │ │ │ └── train_spacetodepth.py │ │ ├── pool │ │ │ ├── train_GAP.py │ │ │ ├── train_SwishAdaptiveAvgPool2d.py │ │ │ ├── train_adapool.py │ │ │ ├── train_blurpool.py │ │ │ ├── train_shape_adaptor.py │ │ │ └── train_spppool.py │ │ └── test_regularization.py │ ├── classes │ │ └── train_MicroNet.py │ ├── loss │ │ ├── classes │ │ │ └── train_tripletloss.py │ │ ├── train_centerloss.py │ │ ├── train_focalloss.py │ │ ├── train_ohemloss.py │ │ ├── train_ohemloss2.py │ │ ├── train_oimloss.py │ │ └── train_topk_crossEntrophy.py │ ├── models │ │ └── necks │ │ │ └── train_deep_stem.py │ ├── optimizer │ │ └── test_torch_optimizer │ │ │ ├── mnist.py │ │ │ └── viz_optimizers.py │ ├── pre_processing │ │ ├── test_with_learnableResizer.py │ │ └── test_without_learnableResizer.py │ ├── scheduler │ │ ├── test_CosineAnnealingLR.py │ │ ├── test_OneCycleLR.py │ │ ├── test_PolyLR.py │ │ └── test_warmup_lr_scheduler.py │ ├── train │ │ ├── test_WeightEMA.py │ │ └── 对抗训练 │ │ │ ├── test_GN_resnet18.py │ │ │ └── test_GN_shufflenet.py │ └── 半监督 │ │ └── train_mixmatch.py ├── python │ └── test_loguru.py └── train_cifar10.py └── wiki ├── English.md ├── anaconda ├── .condarc └── conda.md ├── c++ └── qt.md ├── docker ├── Dockerfile └── sources.list ├── git ├── Github搜索语法-信息搜集指南.pdf ├── cmd.png └── git.md ├── linux ├── .bashrc ├── Auto_clear_mem │ ├── Auto_clear_mem.sh │ └── Contact_list ├── etc │ ├── hosts │ └── vsftpd │ │ └── vsftpd.conf ├── gcc.md ├── linux.md └── shs │ ├── InfoView4CentOS.sh │ ├── django_run.sh │ └── get_computer_info.sh ├── mysql.md ├── pip ├── .pip │ └── pip.conf ├── pip.ini ├── pip.md └── 自己开发pip包.md ├── search.md ├── windows ├── bats │ ├── install_labelImg.bat │ ├── packageZengXh.bat │ ├── start-apache24.bat │ ├── start-jupyter.bat │ └── start-server-lines.bat ├── etc │ └── hosts └── windows.md └── 天池 └── 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