Comments (1)
You should install protobuf on your own and make protoc
discoverable by Python (make sure it's in PATH)
from caffemodel2pytorch.
Related Issues (20)
- How to use converted-model (pt)?? HOT 1
- What mean of Skipping Layer?? HOT 1
- TypeError: expected str, bytes or os.PathLike object, not NoneType HOT 7
- pytorch2caffemodel HOT 1
- google.protobuf.text_format.ParseError: 52:3 : Message type "caffe.LayerParameter" has no field named "bn_param". HOT 3
- caffe to pytorch model HOT 2
- Run Caffe models using PyTorch as backend HOT 1
- Add support for older caffe model HOT 3
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- how do i install it HOT 1
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- Attribute error HOT 1
- FileNotFoundError: [WinError 2] HOT 1
- URL reading doensn't work in Python 3 HOT 10
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- downloaded caffe.proto cannot be read, saying FileNotFoundError, win10, python3 HOT 6
- AttributeError: module 'google.protobuf.descriptor' has no attribute '_message' HOT 5
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from caffemodel2pytorch.