| |
|
|
| cfg_mnet = { |
| 'name': 'mobilenet0.25', |
| 'msizes': [[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': False, |
| 'return_layers': {'stage1': 1, 'stage2': 2, 'stage3': 3}, |
| 'in_channel': 32, |
| 'out_channel': 64 |
| } |
|
|
| cfg_re50 = { |
| 'name': 'Resnet50', |
| 'msizes': [[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': False, |
| 'return_layers': {'layer2': 1, 'layer3': 2, 'layer4': 3}, |
| 'in_channel': 256, |
| 'out_channel': 256 |
| } |
|
|
|
|