Awesome algorithm! I tested the inference code and it works great!
I have a question on the train.py.
Does your training code need anything from E2FGVI code?
parser = argparse.ArgumentParser(description='E2FGVI')
parser.add_argument('-c',
'--config',
default='configs/train_e2fgvi.json',
type=str)
Since this work was built on the E2FGVI's repo, I forgot to change default argument, but it should not affect the training.
I will fix it then. Thanks!
Awesome algorithm! I tested the inference code and it works great!
I have a question on the train.py. Does your training code need anything from E2FGVI code? parser = argparse.ArgumentParser(description='E2FGVI') parser.add_argument('-c', '--config', default='configs/train_e2fgvi.json', type=str)