arcface_retinaface_mxnet2onnx
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arcface and retinaface model convert mxnet to onnx.
已经按照知乎上的修改了相应文件,mnet.25可以转换成功,RetinaFace-R50 会报如下错误 
Hi I tried to convert your mxnet retinaface model into onnx but encoutered this error, how can i reform the libraries to handle the error, AttributeError: No conversion function registered...
output shape 是 (1, 20, 80, 80)请问这有无问题?
当使用onnx进行推断时,固定输入模型为(1、3、640、640),但是当使用mxnet进行推断时,输入是任意的,但不是固定的。 我想问的是,在使用onnx模型时,每个输入的大小应调整为(640,640)结果是否与mxnet不同,因为mxnet的输入形状取决于scale参数并且输入形状发生变化每个不同尺寸的输入图像? 感谢您的分享,太好了!
how to solve this problem when I run mxnet2onnx_demo.py in Arcface demo to mxnet2onnx. Mxnet 1.6.0 onnx 1.7.0 File "D:/Project/Github/Face/Recognition/arcface_retinaface_mxnet2onnx-master/Arcface/mxnet2onnx_demo.py", line 153, in mxnet2onnx_test() #==mxnet2onnx File "D:/Project/Github/Face/Recognition/arcface_retinaface_mxnet2onnx-master/Arcface/mxnet2onnx_demo.py", line 25, in...
2) UpSample 2.1) 采用Resize实现 mxnet/contrib/onnx/mx2onnx/_op_translations.py 报错
 AttributeError: No conversion function registered for op type SoftmaxActivation yet. 问一下,我安装你的说法改了 json 中的op ,但是转换的时候还是报相同的错误,总共改了3处。
你好, 我使用我的pytorch转的onnx模型,获取input_map时只获取了数据输入的节点input {'input0': name: "input0" type { tensor_type { elem_type: 1 shape { dim { dim_value: 1 } dim { dim_value: 3 } dim { dim_value: 112 } dim {...
Got an error when I try mxnet2onnx > Traceback (most recent call last): File "mxnet2onnx_demo.py", line 73, in mxnet2onnx_test() #==mxnet2onnx File "mxnet2onnx_demo.py", line 25, in mxnet2onnx_test converted_model_path = onnx_mxnet.export_model(sym, params,...
README中arcface和retinaface的百度云盘链接反过来了。