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This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
You Only Look Once for Panopitic Driving Perception.(https://arxiv.org/abs/2108.11250)
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。
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
You Only Look at One Sequence (https://arxiv.org/abs/2106.00666)
YOLOv2のchainerの再現実装です(darknetのchainerローダと、完全なchainer上での訓練コードを含みます)
YOLOv2检测过程的Tensorflow实现
YOLOv3 in PyTorch > ONNX > CoreML > iOS
Keras implementation of yolo v3 object detection.
yolov3 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏
提供对YOLOv3及Tiny的多种剪枝版本,以适应不同的需求。
在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)
从零开始学习YOLOv3教程解读代码+注意力模块(SE,SPP,RFB etc)
Implement YOLOv3 with TensorFlow
YoloV3 Implemented in Tensorflow 2.0
基于opencv的4种YOLO目标检测,C++和Python两个版本的实现
Full implementation of YOLOv3 in PyTorch
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.
基于TensorFlow2.x实现的YOLOv3,支持在自定义数据集上训练,支持保存为TFLite模型。A tensorflow2 implementation of YOLO_V3(Supports training on custom dataset and saving as tflite models.).
object detection \ yolov4
这是一个YoloV4-keras的源码,可以用于训练自己的模型。
这是一个YoloV4-pytorch的源码,可以用于训练自己的模型。
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
win10 vs2017 qt_demo yolov4
tensorflow implementation for Yolo v4
implement yolov4 with pure tensorflow and you can training net on your own dataset. YOLOv4的纯tensorflow实现,可训练自己的模型.
YOLOv5 in PyTorch > ONNX > CoreML > iOS
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
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931)
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.