A demo for accelerating YOLOv2 in xilinx's fpga pynq/zedboard

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

C++ library based on tensorrt integration

README and scripts for the Cityscapes Dataset

🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, PPYOLO, PPYOLOv2, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NM…

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

🚀🚀🚀一款面向改进Yolov5的开源仓库，提供丰富的魔改Yolov5方法 An open source repository for improving Yolov5, providing rich magic methods

More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam，dcn and so on), and tensorrt

Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗

深度学习 李宏毅 2021 学习笔记

4种YOLO目标检测，C++和Python两个版本的实现

用opencv的dnn模块做yolov5目标检测，包含C++和Python两个版本的程序，优化后的

用opencv的dnn模块做yolov5目标检测，包含C++和Python两个版本的程序

这是一个mobilenet-yolov4-lite的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。

这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

Models and examples built with TensorFlow

deep learning for image processing including classification and object-detection etc.

yolov4 base on keras of tf2+, tf2 support perfectly