This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
I use the TVG_CRFRNN.sh which at caffe/examples/segmentationcrfasrnn/ to train crfasrnn.But the training iterate 0 and then test infinitely as follows. What should I do?Thanks!
I0102 21:24:32.579792 5267 upgrade_proto.cpp:620] Attempting to upgrade input file specified using deprecated V1LayerParameter: TVG_CRFRNN_COCO_VOC.caffemodel
I0102 21:24:33.525709 5267 upgrade_proto.cpp:628] Successfully upgraded file specified using deprecated V1LayerParameter
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:537] Reading dangerously large protocol message. If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons. To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:78] The total number of bytes read was 537968303
I0102 21:24:34.088544 5267 upgrade_proto.cpp:620] Attempting to upgrade input file specified using deprecated V1LayerParameter: TVG_CRFRNN_COCO_VOC.caffemodel
I0102 21:24:34.936173 5267 upgrade_proto.cpp:628] Successfully upgraded file specified using deprecated V1LayerParameter
I0102 21:24:35.053526 5267 caffe.cpp:211] Starting Optimization
I0102 21:24:35.053546 5267 solver.cpp:293] Solving CRFRNN-VOC
I0102 21:24:35.053550 5267 solver.cpp:294] Learning Rate Policy: fixed
I0102 21:24:35.057199 5267 solver.cpp:346] Iteration 0, Testing net (#0)
I0102 21:35:39.176551 5267 solver.cpp:414] Test net output #0: label = 0.32
I0102 21:35:39.180371 5267 solver.cpp:414] Test net output #1: label = 0.32
I0102 21:35:39.180466 5267 solver.cpp:414] Test net output #2: label = 0.32
I0102 21:35:39.180511 5267 solver.cpp:414] Test net output #3: label = 0.32
I0102 21:35:39.180546 5267 solver.cpp:414] Test net output #4: label = 0.32
I0102 21:35:39.180575 5267 solver.cpp:414] Test net output #5: label = 0.32
I0102 21:35:39.180606 5267 solver.cpp:414] Test net output #6: label = 0.32
I0102 21:35:39.180635 5267 solver.cpp:414] Test net output #7: label = 0.32
I0102 21:35:39.180665 5267 solver.cpp:414] Test net output #8: label = 0.32
I0102 21:35:39.180696 5267 solver.cpp:414] Test net output #9: label = 0.32
I use the TVG_CRFRNN.sh which at caffe/examples/segmentationcrfasrnn/ to train crfasrnn.But the training iterate 0 and then test infinitely as follows. What should I do?Thanks!
I0102 21:24:32.579792 5267 upgrade_proto.cpp:620] Attempting to upgrade input file specified using deprecated V1LayerParameter: TVG_CRFRNN_COCO_VOC.caffemodel I0102 21:24:33.525709 5267 upgrade_proto.cpp:628] Successfully upgraded file specified using deprecated V1LayerParameter [libprotobuf WARNING google/protobuf/io/coded_stream.cc:537] Reading dangerously large protocol message. If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons. To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h. [libprotobuf WARNING google/protobuf/io/coded_stream.cc:78] The total number of bytes read was 537968303 I0102 21:24:34.088544 5267 upgrade_proto.cpp:620] Attempting to upgrade input file specified using deprecated V1LayerParameter: TVG_CRFRNN_COCO_VOC.caffemodel I0102 21:24:34.936173 5267 upgrade_proto.cpp:628] Successfully upgraded file specified using deprecated V1LayerParameter I0102 21:24:35.053526 5267 caffe.cpp:211] Starting Optimization I0102 21:24:35.053546 5267 solver.cpp:293] Solving CRFRNN-VOC I0102 21:24:35.053550 5267 solver.cpp:294] Learning Rate Policy: fixed I0102 21:24:35.057199 5267 solver.cpp:346] Iteration 0, Testing net (#0) I0102 21:35:39.176551 5267 solver.cpp:414] Test net output #0: label = 0.32 I0102 21:35:39.180371 5267 solver.cpp:414] Test net output #1: label = 0.32 I0102 21:35:39.180466 5267 solver.cpp:414] Test net output #2: label = 0.32 I0102 21:35:39.180511 5267 solver.cpp:414] Test net output #3: label = 0.32 I0102 21:35:39.180546 5267 solver.cpp:414] Test net output #4: label = 0.32 I0102 21:35:39.180575 5267 solver.cpp:414] Test net output #5: label = 0.32 I0102 21:35:39.180606 5267 solver.cpp:414] Test net output #6: label = 0.32 I0102 21:35:39.180635 5267 solver.cpp:414] Test net output #7: label = 0.32 I0102 21:35:39.180665 5267 solver.cpp:414] Test net output #8: label = 0.32 I0102 21:35:39.180696 5267 solver.cpp:414] Test net output #9: label = 0.32