Tramac

awesome-semantic-segmentation-pytorch. Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

Fast-SCNN-pytorch. A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

Lightweight-Segmentation. Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

paper-reading-note. 和李沐一起读论文

torchscope. Model Scope in PyTorch (include Params, FLOPs, Madds).

mobilenetv3-segmentation. MobileNetV3 for Semantic Segmentation.

tiny-kinetics-400. Tiny Kinetics-400 for test

Effective-Cpp. 改善程序与设计的55个具体做法（第三版）

pytorch-cam. Class Activation Map (CAM) Visualizations in PyTorch.

tensorrt-tutorial. TensorRT简明教程

DenseVoxNet-tensorflow. DenseVoxNet in TensorFlow

sth-2-sth. 一个基于内容的图像检索系统

awesome-video-feature-extractor. Video feature extractor in PyTorch.

MaiHaHi-pytorch. 蚂蚁呀嘿

AdaBound-tensorflow. A tensorflow/keras version of AdaBound optimizer.

Non-local-tensorflow. Non-local Block for Semantic Segmentation

Convert_To_TFRecord. Tutorial:Convert your data to tfrecord