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Dear all,
I used convert_deeplab_resnet.py to convert caffemodel, but following error. I don't know what's going on. [libprotobuf ERROR google/protobuf/text_format.cc:274] Error parsing text-format caffe.NetParameter: 24:16: Message type "caffe.LayerParameter" has no field named "interp_param". WARNING: Logging before InitGoogleLogging() is written to STDERR F0514 16:39:28.816993 17207 upgrade_proto.cpp:88] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: data/test.prototxt *** Check failure stack trace: ***
I have caffe installed, but I'm not sure whether it's a correct version.
Thank you for your attention!
I'm not familiar with caffe. Would anyone like to share the pytorch model file (.pth) converted from caffemodel, thank you!
The text was updated successfully, but these errors were encountered:
Hi, this is happening because you are not using deeplab's version of caffe. You need to install caffe available here(deeplab-public-ver2). I will share converted .pth files with you in a few hours.
Dear all,
I used convert_deeplab_resnet.py to convert caffemodel, but following error. I don't know what's going on.
[libprotobuf ERROR google/protobuf/text_format.cc:274] Error parsing text-format caffe.NetParameter: 24:16: Message type "caffe.LayerParameter" has no field named "interp_param". WARNING: Logging before InitGoogleLogging() is written to STDERR F0514 16:39:28.816993 17207 upgrade_proto.cpp:88] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: data/test.prototxt *** Check failure stack trace: ***
I have caffe installed, but I'm not sure whether it's a correct version.
Thank you for your attention!
I'm not familiar with caffe. Would anyone like to share the pytorch model file (.pth) converted from caffemodel, thank you!
The text was updated successfully, but these errors were encountered: