lindadamama
lindadamama
missing layerNormalization However, Torchsharp's APIS are complete https://github.com/tensorflow/tensorflow/tree/v2.7.0/tensorflow/python/keras/layers/normalization https://github.com/dotnet/TorchSharp/tree/main/src/TorchSharp/NN/Normalization
Shouldn't BatchNormalization and LayerNormalization be two different methods?
missing layerNormalization However, Torchsharp's APIS are complete https://github.com/tensorflow/tensorflow/tree/v2.7.0/tensorflow/python/keras/layers/normalization https://github.com/dotnet/TorchSharp/tree/main/src/TorchSharp/NN/Normalization
语义分割后,进行区域拟合,然后写上标签
如上图:左边是python直接加载模型,预测的结果,右边是调用toch.jit.trace导出的模型在c#平台上预测的结果 这个文档上说这种方法导出的模型,可以在c#平台或者c++平台上直接部署 https://github.com/dotnet/TorchSharp/wiki/TorchScript https://pytorch.org/docs/stable/jit.html torch.jit.trace与torch.jit.script的区别,这两种方法导出的模型是有差异的,没想到差异会这么大 https://cloud.tencent.com/developer/article/2067810
我没有进行混合,识别出区域后用opencv画的区域轮廓,因为混合后会覆盖原图,看不出是否识别准确
是同一张图片
导出onnx好像也不行,完全找不到区域