happyyang (pengyang1225)

pengyang1225

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happyyang's repositories

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FastestDet_NCNN

完成轻量化网络FastestDet的算法NCNN部署

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Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

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centernet-pytorch

这是一个centernet-pytorch的源码,可以用于训练自己的模型。

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classification-pytorch

这是各个主干网络分类模型的源码,可以用于训练自己的分类模型。

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DeepEMD

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

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head-pose-estimation

Head pose estimation by TensorFlow and OpenCV

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labelImg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

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lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

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NumCpp

C++ implementation of the Python Numpy library

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opencv-ffmpeg-rtmp-stream

OpenCV FFMpeg Live Video Stream over RTMP protocol.

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PyQt5-YOLOv5

PyQt5 implementation of YOLOv5 GUI

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Pytorch_Retinaface

Retinaface get 80.99% in widerface hard val using mobilenet0.25.

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simple-rknn2

The rknn2 API uses the secondary encapsulation of the process, which is easy for everyone to call. It is applicable to rk356x rk3588

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SOLOv2.tensorRT

SOLOv2 on onnx & tensorRT

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tensorRT-1

TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据

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tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

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Yolov5-deepsort-driverDistracted-driving-behavior-detection

基于深度学习的驾驶员分心驾驶行为(疲劳+危险行为)预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测

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YOLOv5-Multibackbone-Compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet), Pruning (EagleEye) and Quantization (MQBench) Compression Tool Box.

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yolov5ncnn

ncnn of yolov5 v5.0 branch

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YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

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yolov7

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

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