Hi, thanks for the great repo! I used the docker to train the HTC model on Cityperson dataset, but the following error appeared:
2022-01-10 20:14:25,077 - INFO - Distributed training: False
2022-01-10 20:14:27,061 - INFO - load model from: open-mmlab://resnext101_64x4d
Downloading: "https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnext101_64x4d-ee2c6f71.pth" to /root/.cache/torch/checkpoints/resnext101_64x4d-ee2c6f71.pth
Traceback (most recent call last):
File "tools/train.py", line 98, in
main()
File "tools/train.py", line 76, in main
cfg.model, train_cfg=cfg.train_cfg, test_cfg=cfg.test_cfg)
File "/root/Pedestron/mmdet/models/builder.py", line 43, in build_detector
return build(cfg, DETECTORS, dict(train_cfg=train_cfg, test_cfg=test_cfg))
File "/root/Pedestron/mmdet/models/builder.py", line 15, in build
return build_from_cfg(cfg, registry, default_args)
File "/root/Pedestron/mmdet/utils/registry.py", line 74, in build_from_cfg
return obj_type(args)
File "/root/Pedestron/mmdet/models/detectors/htc.py", line 23, in init
super(HybridTaskCascade, self).init(num_stages, backbone, kwargs)
File "/root/Pedestron/mmdet/models/detectors/cascade_rcnn.py", line 86, in init
self.init_weights(pretrained=pretrained)
File "/root/Pedestron/mmdet/models/detectors/cascade_rcnn.py", line 94, in init_weights
self.backbone.init_weights(pretrained=pretrained)
File "/root/Pedestron/mmdet/models/backbones/resnet.py", line 484, in init_weights
load_checkpoint(self, pretrained, strict=False, logger=logger)
File "/opt/conda/lib/python3.6/site-packages/mmcv/runner/checkpoint.py", line 140, in load_checkpoint
checkpoint = load_url_dist(open_mmlab_model_urls[model_name])
File "/opt/conda/lib/python3.6/site-packages/mmcv/runner/checkpoint.py", line 99, in load_url_dist
checkpoint = model_zoo.load_url(url)
File "/opt/conda/lib/python3.6/site-packages/torch/hub.py", line 485, in load_state_dict_from_url
download_url_to_file(url, cached_file, hash_prefix, progress=progress)
File "/opt/conda/lib/python3.6/site-packages/torch/hub.py", line 384, in download_url_to_file
u = urlopen(url)
File "/opt/conda/lib/python3.6/urllib/request.py", line 223, in urlopen
return opener.open(url, data, timeout)
File "/opt/conda/lib/python3.6/urllib/request.py", line 532, in open
response = meth(req, response)
File "/opt/conda/lib/python3.6/urllib/request.py", line 642, in http_response
'http', request, response, code, msg, hdrs)
File "/opt/conda/lib/python3.6/urllib/request.py", line 570, in error
return self._call_chain(args)
File "/opt/conda/lib/python3.6/urllib/request.py", line 504, in _call_chain
result = func(args)
File "/opt/conda/lib/python3.6/urllib/request.py", line 650, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 403: Forbidden
It seems that I cannot scrape this pre-trained ResNetX101 model from the web. Any suggestion will be appreciated! Thanks.
Hi, thanks for the great repo! I used the docker to train the HTC model on Cityperson dataset, but the following error appeared:
2022-01-10 20:14:25,077 - INFO - Distributed training: False 2022-01-10 20:14:27,061 - INFO - load model from: open-mmlab://resnext101_64x4d Downloading: "https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnext101_64x4d-ee2c6f71.pth" to /root/.cache/torch/checkpoints/resnext101_64x4d-ee2c6f71.pth Traceback (most recent call last): File "tools/train.py", line 98, in
main()
File "tools/train.py", line 76, in main
cfg.model, train_cfg=cfg.train_cfg, test_cfg=cfg.test_cfg)
File "/root/Pedestron/mmdet/models/builder.py", line 43, in build_detector
return build(cfg, DETECTORS, dict(train_cfg=train_cfg, test_cfg=test_cfg))
File "/root/Pedestron/mmdet/models/builder.py", line 15, in build
return build_from_cfg(cfg, registry, default_args)
File "/root/Pedestron/mmdet/utils/registry.py", line 74, in build_from_cfg
return obj_type(args)
File "/root/Pedestron/mmdet/models/detectors/htc.py", line 23, in init
super(HybridTaskCascade, self).init(num_stages, backbone, kwargs)
File "/root/Pedestron/mmdet/models/detectors/cascade_rcnn.py", line 86, in init
self.init_weights(pretrained=pretrained)
File "/root/Pedestron/mmdet/models/detectors/cascade_rcnn.py", line 94, in init_weights
self.backbone.init_weights(pretrained=pretrained)
File "/root/Pedestron/mmdet/models/backbones/resnet.py", line 484, in init_weights
load_checkpoint(self, pretrained, strict=False, logger=logger)
File "/opt/conda/lib/python3.6/site-packages/mmcv/runner/checkpoint.py", line 140, in load_checkpoint
checkpoint = load_url_dist(open_mmlab_model_urls[model_name])
File "/opt/conda/lib/python3.6/site-packages/mmcv/runner/checkpoint.py", line 99, in load_url_dist
checkpoint = model_zoo.load_url(url)
File "/opt/conda/lib/python3.6/site-packages/torch/hub.py", line 485, in load_state_dict_from_url
download_url_to_file(url, cached_file, hash_prefix, progress=progress)
File "/opt/conda/lib/python3.6/site-packages/torch/hub.py", line 384, in download_url_to_file
u = urlopen(url)
File "/opt/conda/lib/python3.6/urllib/request.py", line 223, in urlopen
return opener.open(url, data, timeout)
File "/opt/conda/lib/python3.6/urllib/request.py", line 532, in open
response = meth(req, response)
File "/opt/conda/lib/python3.6/urllib/request.py", line 642, in http_response
'http', request, response, code, msg, hdrs)
File "/opt/conda/lib/python3.6/urllib/request.py", line 570, in error
return self._call_chain(args)
File "/opt/conda/lib/python3.6/urllib/request.py", line 504, in _call_chain
result = func(args)
File "/opt/conda/lib/python3.6/urllib/request.py", line 650, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 403: Forbidden
It seems that I cannot scrape this pre-trained ResNetX101 model from the web. Any suggestion will be appreciated! Thanks.