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PaddleClas

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A treasure chest for visual classification and recognition powered by PaddlePaddle

YOLOv5-Lite

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🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

RMNet

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RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

PytorchNetHub

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项目注释+论文复现+算法竞赛+Pytorch实践

awesome-yolo-object-detection

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🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.

ZCls

138
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Object Classification Training Framework

SimpleAICV_pytorch_training_examples

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SimpleAICV:pytorch training and testing examples.

nanodet

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NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Paddle-Image-Models

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A PaddlePaddle version image model zoo.

RepVGG_TensorRT_int8

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RepVGG TensorRT int8 量化,实测推理不到1ms一帧!