Update timm model name

[kulits]

vit_base_resnet50_384 was a deprecated (now-removed) alias for vit_base_r50_s16_384 (see [here]). This PR makes omnidata-tools compatible with recent versions of timm and does not affect compatibility with the timm version listed in the existing requirements.txt.

[JzTao321]

Traceback (most recent call last):
File "demo.py", line 63, in
model = DPTDepthModel(backbone='vitb_rn50_384', num_channels=3) # DPT Hybrid
File "/media/data2/taojiazheng/omnidata-main/omnidata_tools/torch/modules/midas/dpt_depth.py", line 101, in init
super().init(head, **kwargs)
File "/media/data2/taojiazheng/omnidata-main/omnidata_tools/torch/modules/midas/dpt_depth.py", line 48, in init
self.pretrained, self.scratch = _make_encoder(
File "/media/data2/taojiazheng/omnidata-main/omnidata_tools/torch/modules/midas/blocks.py", line 20, in _make_encoder
pretrained = _make_pretrained_vitb_rn50_384(
File "/media/data2/taojiazheng/omnidata-main/omnidata_tools/torch/modules/midas/vit.py", line 483, in _make_pretrained_vitb_rn50_384
model = timm.create_model("vit_base_r50_s16_384", pretrained=pretrained)
File "/home/taojiazheng/anaconda3/envs/omnidata/lib/python3.8/site-packages/timm/models/factory.py", line 81, in create_model
model = create_fn(pretrained=pretrained, **kwargs)
File "/home/taojiazheng/anaconda3/envs/omnidata/lib/python3.8/site-packages/timm/models/vision_transformer_hybrid.py", line 238, in vit_base_r50_s16_384
model = _create_vision_transformer_hybrid(
File "/home/taojiazheng/anaconda3/envs/omnidata/lib/python3.8/site-packages/timm/models/vision_transformer_hybrid.py", line 146, in _create_vision_transformer_hybrid
return _create_vision_transformer(
File "/home/taojiazheng/anaconda3/envs/omnidata/lib/python3.8/site-packages/timm/models/vision_transformer.py", line 531, in _create_vision_transformer
model = build_model_with_cfg(
File "/home/taojiazheng/anaconda3/envs/omnidata/lib/python3.8/site-packages/timm/models/helpers.py", line 457, in build_model_with_cfg
load_pretrained(
File "/home/taojiazheng/anaconda3/envs/omnidata/lib/python3.8/site-packages/timm/models/helpers.py", line 184, in load_pretrained
state_dict = load_state_dict_from_url(pretrained_url, progress=progress, map_location='cpu')
File "/home/taojiazheng/anaconda3/envs/omnidata/lib/python3.8/site-packages/torch/hub.py", line 557, in load_state_dict_from_url
return torch.load(cached_file, map_location=map_location)
File "/home/taojiazheng/anaconda3/envs/omnidata/lib/python3.8/site-packages/torch/serialization.py", line 608, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "/home/taojiazheng/anaconda3/envs/omnidata/lib/python3.8/site-packages/torch/serialization.py", line 794, in _legacy_load
deserialized_objects[key]._set_from_file(f, offset, f_should_read_directly)
RuntimeError: unexpected EOF, expected 978043 more bytes. The file might be corrupted.
There are still issues after modification