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CVIP's Projects

yolobile icon yolobile

This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

yolop icon yolop

You Only Look Once for panopitic driving perception.(https://arxiv.org/abs/2108.11250)

yolop-opencv-dnn icon yolop-opencv-dnn

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

yolor icon yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yoloret icon yoloret

Implementation for the paper 'YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs'

yolos icon yolos

You Only Look at One Sequence (https://arxiv.org/abs/2106.00666)

yolov3 icon yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

yolov4-custom-functions icon yolov4-custom-functions

A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

yolov4-pytorch icon yolov4-pytorch

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

yolov4-pytorch-1 icon yolov4-pytorch-1

这是一个YoloV4-pytorch的源码,可以用于训练自己的模型。

yolov5 icon yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

yolov5-lite icon yolov5-lite

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.9M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

yolov5-pyqt5 icon yolov5-pyqt5

给yolov5加个gui界面,使用pyqt5,yolov5是5.0版本

yolov5-pytorch icon yolov5-pytorch

这是一个YoloV5-pytorch的源码,可以用于训练自己的模型。

yolov5_ncnn icon yolov5_ncnn

🍅 Ncnn deployment on mobile,support:YOLOv5s,YOLOv4-tiny,MobileNetV2-YOLOv3-nano,Simple-Pose,Yolact,ChineseOCR-lite,ENet,Landmark106 and DBFace on camera.

yolov7 icon yolov7

🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

yolox icon yolox

YOLOX is a high-performance anchor-free YOLO. Exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and Openvino supported.

yolox-opencv-dnn icon yolox-opencv-dnn

使用OpenCV部署YOLOX,支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构,包含C++和Python两种版本的程序

yolox-pytorch icon yolox-pytorch

这是一个yolox-pytorch的源码,可以用于训练自己的模型。

ytmt-strategy icon ytmt-strategy

Offical implementation for "Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation".

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