ChenCVer / darknetLinks
Darknet(AB版)框架源码解析:详尽的中文注释(逐句)和原理分析!
☆74Updated 4 years ago
Alternatives and similar repositories for darknet
Users that are interested in darknet are comparing it to the libraries listed below
Sorting:
- ☆62Updated 5 years ago
- www.giantpandacv.com☆148Updated 11 months ago
- Convert YOLOv3 and YOLOv3-tiny (PyTorch version) into TensorRT models.☆61Updated 5 years ago
- QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.☆91Updated 4 years ago
- YOLOv3-training-prune☆59Updated 4 years ago
- RepVGG TensorRT int8 量化,实测推理不到1ms一帧!☆63Updated 4 years ago
- yolov5 onnx caffe☆88Updated 4 years ago
- ☆71Updated 11 months ago
- yolov5 onnx caffe☆117Updated 4 years ago
- ppyolo in pytorch. 44.8% box mAP.☆109Updated 3 years ago
- YOLOV3-Tiny TensorRT6.0 13个类别☆32Updated 5 years ago
- U版yolov5 2.0的tensorrt加速☆37Updated 4 years ago
- A resnet18 version of CenterNet(objects as points)☆124Updated 3 years ago
- Tips on how to find suitable object detection anchors☆146Updated 5 years ago
- A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection☆50Updated 4 years ago
- Learning YOLOv3 from scratch 从零开始学习YOLOv3代码☆214Updated 3 years ago
- nanodet int8 量化,实测推理2ms一帧!☆37Updated 4 years ago
- TensorRT int8 量化部署 yolov5s 模型,实测3.3ms一帧!☆168Updated 4 years ago
- yolov5 v1版本中文注释☆58Updated 4 years ago
- A real-time version of FCOS, inspired by FCOSv2.☆49Updated 3 years ago
- YOLO系列资料☆50Updated 2 years ago
- SSD net Training on pytorch and Implementation on libtorch☆50Updated 5 years ago
- mmdetection in python训练, libtorch in c++部署☆12Updated 4 years ago
- 数钢筋demo,IOU 0.7 下,AP 90.6。训练只要不到十分钟,可以非常愉快的 玩耍☆34Updated 5 years ago
- NVIDIA TensorRT 加速推断教程!☆134Updated 3 years ago
- Pytorch复现YOLOv3,使用最新的DIOU loss训练☆70Updated 4 years ago
- ☆51Updated 2 years ago
- centerNet Caffe inference CPP☆69Updated 5 years ago
- MobileNetV3 based SSD-lite implementation in Pytorch☆100Updated 5 years ago
- Implement yolov5 with Tensorrt C++ api, and integrate batchedNMSPlugin. A Python wrapper is also provided.☆49Updated 3 years ago