Typeerror when train by myself with "./experiments/scripts/train_faster_rcnn.sh 0 pascal_voc res101"
fuchuanguang opened this issue · 1 comments
Solving...
Loading initial model weights from data/imagenet_weights/res101.pth
Loaded.
Traceback (most recent call last):
File "./tools/trainval_net.py", line 164, in
max_iters=args.max_iters)
File "/home/fucg/pytorch/pytorch-faster-rcnn/tools/../lib/model/train_val.py", line 393, in train_net
sw.train_model(max_iters)
File "/home/fucg/pytorch/pytorch-faster-rcnn/tools/../lib/model/train_val.py", line 286, in train_model
self.net.train_step_with_summary(blobs, self.optimizer)
File "/home/fucg/pytorch/pytorch-faster-rcnn/tools/../lib/nets/network.py", line 501, in train_step_with_summary
summary = self._run_summary_op()
File "/home/fucg/pytorch/pytorch-faster-rcnn/tools/../lib/nets/network.py", line 348, in _run_summary_op
summaries.append(self._add_gt_image_summary())
File "/home/fucg/pytorch/pytorch-faster-rcnn/tools/../lib/nets/network.py", line 67, in _add_gt_image_summary
image[0].astype('float32') / 255.0, dataformats='HWC')
TypeError: image() got an unexpected keyword argument 'dataformats'
Command exited with non-zero status 1
5.52user 4.88system 0:14.29elapsed 72%CPU (0avgtext+0avgdata 1809768maxresident)k
0inputs+1280outputs (0major+409618minor)pagefaults 0swaps
If you use the tensorboardX==1.6,you can solve this problem!