Pinned Repositories
benchmarks
TensorFlow, TensorFlow-Lite Pytorch, Torchvision, TensorRT Benchmarks
FastDepth
Helmet-Detection-YoloV5
Safety helmet wearing detection on construction site based on YoloV5s-V5.0 including helmet dataset（基于YoloV5-V5.0的工地安全帽检测并且包含开源的安全帽数据集）
mobilestereonet
Lightweight stereo matching network based on MobileNet blocks
NanoDet-PyTorch
基于NanoDet项目进行小裁剪，专门用来实现PyTorch 版本的代码，下载直接能使用，支持图片、视频文件、摄像头实时目标检测。
pytorch_depth_from_videos_in_the_wild
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
WoodScape
The repository containing tools and information about the WoodScape dataset.
Yolo-FastestV2
:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
RangeLiu's Repositories
RangeLiu/benchmarks
TensorFlow, TensorFlow-Lite Pytorch, Torchvision, TensorRT Benchmarks
RangeLiu/FastDepth
RangeLiu/Helmet-Detection-YoloV5
Safety helmet wearing detection on construction site based on YoloV5s-V5.0 including helmet dataset（基于YoloV5-V5.0的工地安全帽检测并且包含开源的安全帽数据集）
RangeLiu/mobilestereonet
Lightweight stereo matching network based on MobileNet blocks
RangeLiu/NanoDet-PyTorch
基于NanoDet项目进行小裁剪，专门用来实现PyTorch 版本的代码，下载直接能使用，支持图片、视频文件、摄像头实时目标检测。
RangeLiu/pytorch_depth_from_videos_in_the_wild
RangeLiu/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
RangeLiu/WoodScape
The repository containing tools and information about the WoodScape dataset.
RangeLiu/Yolo-FastestV2
:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+