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Name: marenan
Type: User
Name: marenan
Type: User
YOLO reproduce summary (now based on YOLOv3)
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, YOLOv8, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5,YOLOv3, etc.
使用OpenCV部署全景驾驶感知网络YOLOP,可同时处理交通目标检测、可驾驶区域分割、车道线检测,三项视觉感知任务,包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行, 从而彻底摆脱对任何深度学习框架的依赖。
You Only Look at One Sequence (NeurIPS 2021)
YOLOv10: Real-Time End-to-End Object Detection
A demo for accelerating YOLOv2 in xilinx's fpga pynq/zedboard
YOLOv3 in PyTorch > ONNX > CoreML > iOS
这是一个YoloV4-pytorch的源码,可以用于训练自己的模型。
YOLOv5 in PyTorch > ONNX > CoreML > iOS
分别使用OpenCV、ONNXRuntime部署yolov5检测车牌和4个角点,包含C++和Python两个版本的程序
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)
yolov5检测人脸和关键点,只依赖opencv库就可以运行,程序包含C++和Python两个版本的
更新的yolov5检测人脸和关键点,只依赖opencv库就可以运行,程序包含C++和Python两个版本的
使用ONNXRuntime部署yolov5-lite目标检测,包含C++和Python两个版本的程序
🍅 YOLO5Face 2021 with MNN/NCNN/TNN/ONNXRuntime
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
分别使用OpenCV、ONNXRuntime部署YOLOV6目标检测,包含C++和Python两个版本的程序
🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
yolov7 face detection with landmark
yolov8 face detection with landmark
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
:arrow_double_down: Dumb downloader that scrapes the web
Demonstration of the AXI DMA engine on the ZedBoard
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China tencent open source team.