LeonNerd

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I have used python3 -m onnxsim input_onnx_model output_onnx_model --inpute size 3,224,224 at https://github.com/daquexian/onnx-simplifier

> 先使用这个[https://github.com/daquexian/onnx-simplifier,可以去掉这些层](https://github.com/daquexian/onnx-simplifier%EF%BC%8C%E5%8F%AF%E4%BB%A5%E5%8E%BB%E6%8E%89%E8%BF%99%E4%BA%9B%E5%B1%82) 您好,请问我转的是faster r-cnn 我的 --input-shape 应该如何输入。我的faster r-cnn.onnx来自onnx model zool

环境是只用安装request里面就可以么?能不能用一张卡训练一个小一点的下游任务

hi,感谢开源预训练模型,我也需要相关的类别标签,感谢!大数据集下的backbone对于下游任务的微调,具有更好的鲁棒性能,对于误检的抑制效果很好,

I had the same problem, when I converted batchsize=4, the broadcast size did not match

> so,i have a question, the project can only run on the cpu?i found vram is low when use cuBLAS by enabling it: -DGGML_CUBLAS=ON and It has been a long...