| { | |
| "architecture": "ecaresnet50t", | |
| "num_classes": 1000, | |
| "num_features": 2048, | |
| "pretrained_cfg": { | |
| "tag": "ra2_in1k", | |
| "custom_load": false, | |
| "input_size": [ | |
| 3, | |
| 256, | |
| 256 | |
| ], | |
| "test_input_size": [ | |
| 3, | |
| 320, | |
| 320 | |
| ], | |
| "fixed_input_size": false, | |
| "interpolation": "bicubic", | |
| "crop_pct": 0.875, | |
| "test_crop_pct": 0.95, | |
| "crop_mode": "center", | |
| "mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "num_classes": 1000, | |
| "pool_size": [ | |
| 8, | |
| 8 | |
| ], | |
| "first_conv": "conv1.0", | |
| "classifier": "fc" | |
| } | |
| } |