I have another question should I need to resize all the images to 512?
After following all the steps for custom training I am getting this error. Could you please help me to resolve this issue?
Traceback (most recent call last):
File "train.py", line 285, in
train()
File "train.py", line 90, in train
parser.error('Must specify dataset if specifying dataset_root')
File "/usr/lib/python3.8/argparse.py", line 2531, in error
self.print_usage(_sys.stderr)
File "/usr/lib/python3.8/argparse.py", line 2501, in print_usage
self._print_message(self.format_usage(), file)
File "/usr/lib/python3.8/argparse.py", line 2467, in format_usage
return formatter.format_help()
File "/usr/lib/python3.8/argparse.py", line 294, in format_help
help = self._root_section.format_help()
File "/usr/lib/python3.8/argparse.py", line 225, in format_help
item_help = join([func(*args) for func, args in self.items])
File "/usr/lib/python3.8/argparse.py", line 225, in
item_help = join([func(*args) for func, args in self.items])
File "/usr/lib/python3.8/argparse.py", line 332, in _format_usage
action_usage = format(optionals + positionals, groups)
File "/usr/lib/python3.8/argparse.py", line 407, in _format_actions_usage
start = actions.index(group._group_actions[0])
IndexError: list index out of range
The input size after the preprocessing that you feed into the network has to have a fix size, 512x512 or 300x300 in the case of SSD300
@ariharasudhanm @midasklr Did you manage to solve this problem? If yes, can you kindly share?
midasklr
