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Jinghui He's Projects

autoencoder icon autoencoder

个人练习,自编码器及其变形(理论+实践)

centernet-tf2 icon centernet-tf2

这是一个centernet-tf2的源码,可以用于训练自己的模型。

efficientdet-tf2 icon efficientdet-tf2

这是一个efficientdet-tf2(tensorflow2)的源码,可以用于训练自己的模型。

efficientnet-yolo3-keras icon efficientnet-yolo3-keras

这是一个efficientnet-yolo3-keras的源码,将yolov3的主干特征提取网络修改成了efficientnet

faster-rcnn-tf2 icon faster-rcnn-tf2

这是一个faster-rcnn的tensorflow2实现的库,可以利用voc数据集格式的数据进行训练。

mobilenet-ssd-keras icon mobilenet-ssd-keras

这是一个mobilenet-ssd-keras的源码,可以用于训练自己的轻量级ssd模型。

mobilenet-yolov4-lite-keras icon mobilenet-yolov4-lite-keras

这是一个mobilenet-yolov4-lite的库,把yolov4主干网络修改成了mobilenet,修改了Panet的卷积组成,使参数量大幅度缩小。

ssd-tf2 icon ssd-tf2

这是一个ssd-tf2(tensorflow2)的源码,可以用于训练自己的模型。

yolov4-tf2 icon yolov4-tf2

这是一个yolo4-tf2(tensorflow2)的源码,可以用于训练自己的模型。

yolov4-tiny-tf2 icon yolov4-tiny-tf2

这是一个YoloV4-tiny-tf2的源码,可以用于训练自己的模型。

yolov5 icon yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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