config.json
901 B · 45 lines · json Raw
1 {
2 "architecture": "convnextv2_nano",
3 "num_classes": 1000,
4 "num_features": 640,
5 "pretrained_cfg": {
6 "tag": "fcmae_ft_in22k_in1k",
7 "custom_load": false,
8 "input_size": [
9 3,
10 224,
11 224
12 ],
13 "test_input_size": [
14 3,
15 288,
16 288
17 ],
18 "fixed_input_size": false,
19 "interpolation": "bicubic",
20 "crop_pct": 0.875,
21 "test_crop_pct": 1.0,
22 "crop_mode": "center",
23 "mean": [
24 0.485,
25 0.456,
26 0.406
27 ],
28 "std": [
29 0.229,
30 0.224,
31 0.225
32 ],
33 "num_classes": 1000,
34 "pool_size": [
35 7,
36 7
37 ],
38 "first_conv": "stem.0",
39 "classifier": "head.fc",
40 "license": "cc-by-nc-4.0",
41 "origin_url": "https://github.com/facebookresearch/ConvNeXt-V2",
42 "paper_name": "ConvNeXt-V2: Co-designing and Scaling ConvNets with Masked Autoencoders",
43 "paper_ids": "arXiv:2301.00808"
44 }
45 }