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PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, ben…
高性能计算相关知识学习笔记，包含学习笔记和相关知识的代码demo，在持续完善中。 如果有帮助的话请Star一下，对作者帮助很大，谢谢！
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
PaddleSlim is an open-source library for deep model compression and architecture search.
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
OpenMMLab Detection Toolbox and Benchmark
yolov5 车牌检测 车牌识别 中文车牌识别 检测 支持12种中文车牌 支持双层车牌
《Machine Learning Systems: Design and Implementation》- Chinese Version
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Paper list and source code for multi-object-tracking
Simple Online Realtime Tracking with a Deep Association Metric
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT
Implementation of popular deep learning networks with TensorRT network definition API
[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测
reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
SOTA Re-identification Methods and Toolbox
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
This project purpose is convert voc annotation xml file to yolo-darknet training file format
PyTorch ,ONNX and TensorRT implementation of YOLOv4
An easy to use PyTorch to TensorRT converter