Closed HassanZaalVIBOT closed 6 years ago
Unfortunately, you cannot. FlowNet2 needs our custom layers and definitions, and those are not available in stock Caffe.
If you can run Docker on AWS, you can use our FlowNet2 Docker image.
You could also try one of the TensorFlow/PyTorch/etc implementations that others have made (just search GitHub for "flownet2").
(closed due to inactivity)
Hi! [libprotobuf ERROR google/protobuf/text_format.cc:288] Error parsing text-format caffe.NetParameter: 40:22: Message type "caffe.LayerParameter" has no field named "augmentation_param". F0412 15:36:43.269953 2628 upgrade_proto.cpp:88] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: /tmp/tmpnuc_iuqq Check failure stack trace: Aborted (core dumped)
I am using amazon aws where there is Caffe. How can I run it on it without installing another version of Caffe?