amd
/

ONNX
PyTorch
English
RyzenAI
super resolution
SISR
sesr / option.py
zhengrongzhang's picture
init model
2071132
raw
history blame
1.05 kB
import argparse
parser = argparse.ArgumentParser(description='SESR')
# ipu test or cpu, you need to provide onnx path
parser.add_argument('--ipu', action='store_true',
help='use ipu')
parser.add_argument('--onnx_path', type=str, default='SESR_int8.onnx',
help='onnx path')
parser.add_argument('--provider_config', type=str, default=None,
help='provider config path')
# Data specifications, you can use default
parser.add_argument('--dir_data', type=str, default='dataset/',
help='dataset directory')
parser.add_argument('--data_test', type=str, default='Set5',
help='test dataset name')
parser.add_argument('--n_threads', type=int, default=6,
help='number of threads for data loading')
parser.add_argument('--scale', type=str, default='2',
help='super resolution scale')
args = parser.parse_args()
args.scale = list(map(lambda x: int(x), args.scale.split('+')))
args.data_test = args.data_test.split('+')