problem about running the evaluation code

[Sean0120]

Hi,
Thanks for your great work.
I try to run your evaluation code but I meet a problem with the scflow.py file.
python3 eval.py --dt=20 --pretrained='./ckpt/dt20_e80.pth.tar'
And I get the following error message:
=> using pre-trained model 'scflow' Traceback (most recent call last): File "/data2/sean/Optical-Flow-For-Spiking-Camera/eval.py", line 159, in <module> main() File "/data2/sean/Optical-Flow-For-Spiking-Camera/eval.py", line 144, in main model = models.__dict__[args.arch](network_data, args.batch_norm).cuda() File "/data2/sean/Optical-Flow-For-Spiking-Camera/models/scflow.py", line 177, in scflow model = scflow(batchNorm=batchNorm) File "/data2/sean/Optical-Flow-For-Spiking-Camera/models/scflow.py", line 177, in scflow model = scflow(batchNorm=batchNorm) File "/data2/sean/Optical-Flow-For-Spiking-Camera/models/scflow.py", line 177, in scflow model = scflow(batchNorm=batchNorm) [Previous line repeated 995 more times] RecursionError: maximum recursion depth exceeded
Do you have any idea about this problem?

Thanks for your attention and help.

[YWQQQQQQ]

That's because the author uses same name 'scflow' for function and class in scflow.py. The author expects the 'scflow' function to construct the 'scflow' class but your interpreter calls the 'scflow' function instead. Simply rename the 'scflow' function into any other name such as 'build_scflow' and also modify the code in 9 line __all__ = ['scflow'] to the updated function name.

`
scflow.py
line 9
all = ['build_scflow']

line 176
def build_scflow(data=None, batchNorm=False):
model = scflow(batchNorm=batchNorm)
if data is not None:
model.load_state_dict(data['state_dict'])
else:
model.init_weights()
return model

eval.py
line 26

parser.add_argument('-a', '--arch', default='build_scflow', choices=model_names,
help='model architecture, overwritten if pretrained is specified: ' + ' | '.join(model_names))
`