# config.py | |
cfg_mnet = { | |
'name': 'mobilenet0.25', | |
'min_sizes': [[16, 32], [64, 128], [256, 512]], | |
'steps': [8, 16, 32], | |
'variance': [0.1, 0.2], | |
'clip': False, | |
'loc_weight': 2.0, | |
'gpu_train': True, | |
'batch_size': 32, | |
'ngpu': 1, | |
'epoch': 250, | |
'decay1': 190, | |
'decay2': 220, | |
'image_size': 640, | |
'pretrain': True, | |
'return_layers': {'stage1': 1, 'stage2': 2, 'stage3': 3}, | |
'in_channel': 32, | |
'out_channel': 64 | |
} | |
cfg_re50 = { | |
'name': 'Resnet50', | |
'min_sizes': [[16, 32], [64, 128], [256, 512]], | |
'steps': [8, 16, 32], | |
'variance': [0.1, 0.2], | |
'clip': False, | |
'loc_weight': 2.0, | |
'gpu_train': True, | |
'batch_size': 24, | |
'ngpu': 4, | |
'epoch': 100, | |
'decay1': 70, | |
'decay2': 90, | |
'image_size': 840, | |
'pretrain': True, | |
'return_layers': {'layer2': 1, 'layer3': 2, 'layer4': 3}, | |
'in_channel': 256, | |
'out_channel': 256 | |
} | |