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hasanirtiza / Pedestron

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
https://openaccess.thecvf.com/content/CVPR2021/papers/Hasan_Generalizable_Pedestrian_Detection_The_Elephant_in_the_Room_CVPR_2021_paper.pdf
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urllib.error.HTTPError: HTTP Error 403: Forbidden during training #111

Closed InukKang closed 3 years ago

InukKang commented 3 years ago

Thanks for your error report and we appreciate it a lot.

Checklist

  1. I have searched related issues but cannot get the expected help.

Describe the bug urllib.error.HTTPError: HTTP Error 403: Forbidden

Reproduction !cd /content/Pedestron/ !python /content/Pedestron/tools/train.py /content/Pedestron/configs/elephant/cityperson/cascade_hrnet.py

  1. No
  2. Cityperson

Environment

Error traceback 2021-09-24 20:18:54,029 - INFO - Distributed training: False 2021-09-24 20:18:54,947 - INFO - load model from: open-mmlab://msra/hrnetv2_w32 Downloading: "https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/hrnetv2_w32-dc9eeb4f.pth" to /root/.cache/torch/checkpoints/hrnetv2_w32-dc9eeb4f.pth Traceback (most recent call last): File "/content/Pedestron/tools/train.py", line 98, in main() File "/content/Pedestron/tools/train.py", line 76, in main cfg.model, train_cfg=cfg.train_cfg, test_cfg=cfg.test_cfg) File "/content/Pedestron/mmdet/models/builder.py", line 43, in build_detector return build(cfg, DETECTORS, dict(train_cfg=train_cfg, test_cfg=test_cfg)) File "/content/Pedestron/mmdet/models/builder.py", line 15, in build return build_from_cfg(cfg, registry, default_args) File "/content/Pedestron/mmdet/utils/registry.py", line 74, in build_from_cfg return obj_type(*args) File "/content/Pedestron/mmdet/models/detectors/cascade_rcnn.py", line 86, in init self.init_weights(pretrained=pretrained) File "/content/Pedestron/mmdet/models/detectors/cascade_rcnn.py", line 94, in init_weights self.backbone.init_weights(pretrained=pretrained) File "/content/Pedestron/mmdet/models/backbones/hrnet.py", line 425, in init_weights load_checkpoint(self, pretrained, strict=False, logger=logger) File "/usr/local/lib/python3.7/site-packages/mmcv/runner/checkpoint.py", line 166, in load_checkpoint checkpoint = load_url_dist(open_mmlab_model_urls[model_name]) File "/usr/local/lib/python3.7/site-packages/mmcv/runner/checkpoint.py", line 115, in load_url_dist checkpoint = model_zoo.load_url(url) File "/usr/local/lib/python3.7/site-packages/torch/hub.py", line 462, in load_state_dict_from_url _download_url_to_file(url, cached_file, hash_prefix, progress=progress) File "/usr/local/lib/python3.7/site-packages/torch/hub.py", line 372, in _download_url_to_file u = urlopen(url) File "/usr/local/lib/python3.7/urllib/request.py", line 222, in urlopen return opener.open(url, data, timeout) File "/usr/local/lib/python3.7/urllib/request.py", line 531, in open response = meth(req, response) File "/usr/local/lib/python3.7/urllib/request.py", line 641, in http_response 'http', request, response, code, msg, hdrs) File "/usr/local/lib/python3.7/urllib/request.py", line 569, in error return self._call_chain(args) File "/usr/local/lib/python3.7/urllib/request.py", line 503, in _call_chain result = func(*args) File "/usr/local/lib/python3.7/urllib/request.py", line 649, in http_error_default raise HTTPError(req.full_url, code, msg, hdrs, fp) urllib.error.HTTPError: HTTP Error 403: Forbidden

image

hasanirtiza commented 3 years ago

The error is that the mmdetection folks have now shifted their models and the urls are broken. I would suggest to have a look here.

InukKang commented 3 years ago

Then is there no way to fix that error?

hasanirtiza commented 3 years ago

Of course you can, here is the updated links. In particular, for your model, use the following link: https://download.openmmlab.com/pretrain/third_party/hrnetv2_w32-dc9eeb4f.pth instead of https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/hrnetv2_w32-dc9eeb4f.pth.

socome commented 2 years ago

I solve this problem like this :

(I am using docker image)

path : /opt/conda/lib/python3.6/site-packages/mmcv/runner/checkpoint.py ( link )

before

open_mmlab_model_urls = {
    'vgg16_caffe': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/vgg16_caffe-292e1171.pth',  # noqa: E501
    'resnet50_caffe': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnet50_caffe-788b5fa3.pth',  # noqa: E501
    'resnet101_caffe': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnet101_caffe-3ad79236.pth',  # noqa: E501
    'resnext50_32x4d': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnext50-32x4d-0ab1a123.pth',  # noqa: E501
    'resnext101_32x4d': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnext101_32x4d-a5af3160.pth',  # noqa: E501
    'resnext101_64x4d': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnext101_64x4d-ee2c6f71.pth',  # noqa: E501
    'contrib/resnet50_gn': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnet50_gn_thangvubk-ad1730dd.pth',  # noqa: E501
    'detectron/resnet50_gn': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnet50_gn-9186a21c.pth',  # noqa: E501
    'detectron/resnet101_gn': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnet101_gn-cac0ab98.pth',  # noqa: E501
    'jhu/resnet50_gn_ws': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnet50_gn_ws-15beedd8.pth',  # noqa: E501
    'jhu/resnet101_gn_ws': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnet101_gn_ws-3e3c308c.pth',  # noqa: E501
    'jhu/resnext50_32x4d_gn_ws': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnext50_32x4d_gn_ws-0d87ac85.pth',  # noqa: E501
    'jhu/resnext101_32x4d_gn_ws': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnext101_32x4d_gn_ws-34ac1a9e.pth',  # noqa: E501
    'jhu/resnext50_32x4d_gn': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnext50_32x4d_gn-c7e8b754.pth',  # noqa: E501
    'jhu/resnext101_32x4d_gn': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/resnext101_32x4d_gn-ac3bb84e.pth',  # noqa: E501
    'msra/hrnetv2_w18': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/hrnetv2_w18-00eb2006.pth',  # noqa: E501
    'msra/hrnetv2_w32': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/hrnetv2_w32-dc9eeb4f.pth',  # noqa: E501
    'msra/hrnetv2_w40': 'https://s3.ap-northeast-2.amazonaws.com/open-mmlab/pretrain/third_party/hrnetv2_w40-ed0b031c.pth',  # noqa: E501
    'bninception_caffe': 'https://open-mmlab.s3.ap-northeast-2.amazonaws.com/pretrain/third_party/bn_inception_caffe-ed2e8665.pth',  # noqa: E501
    'kin400/i3d_r50_f32s2_k400': 'https://open-mmlab.s3.ap-northeast-2.amazonaws.com/pretrain/third_party/i3d_r50_f32s2_k400-2c57e077.pth',  # noqa: E501
    'kin400/nl3d_r50_f32s2_k400': 'https://open-mmlab.s3.ap-northeast-2.amazonaws.com/pretrain/third_party/nl3d_r50_f32s2_k400-fa7e7caa.pth',  # noqa: E501
}  # yapf: disable

after 

{
  "vgg16_caffe": "https://download.openmmlab.com/pretrain/third_party/vgg16_caffe-292e1171.pth",
  "detectron/resnet50_caffe": "https://download.openmmlab.com/pretrain/third_party/resnet50_caffe-788b5fa3.pth",
  "detectron2/resnet50_caffe": "https://download.openmmlab.com/pretrain/third_party/resnet50_msra-5891d200.pth",
  "detectron/resnet101_caffe": "https://download.openmmlab.com/pretrain/third_party/resnet101_caffe-3ad79236.pth",
  "detectron2/resnet101_caffe": "https://download.openmmlab.com/pretrain/third_party/resnet101_msra-6cc46731.pth",
  "detectron2/resnext101_32x8d": "https://download.openmmlab.com/pretrain/third_party/resnext101_32x8d-1516f1aa.pth",
  "resnext50_32x4d": "https://download.openmmlab.com/pretrain/third_party/resnext50-32x4d-0ab1a123.pth",
  "resnext101_32x4d": "https://download.openmmlab.com/pretrain/third_party/resnext101_32x4d-a5af3160.pth",
  "resnext101_64x4d": "https://download.openmmlab.com/pretrain/third_party/resnext101_64x4d-ee2c6f71.pth",
  "contrib/resnet50_gn": "https://download.openmmlab.com/pretrain/third_party/resnet50_gn_thangvubk-ad1730dd.pth",
  "detectron/resnet50_gn": "https://download.openmmlab.com/pretrain/third_party/resnet50_gn-9186a21c.pth",
  "detectron/resnet101_gn": "https://download.openmmlab.com/pretrain/third_party/resnet101_gn-cac0ab98.pth",
  "jhu/resnet50_gn_ws": "https://download.openmmlab.com/pretrain/third_party/resnet50_gn_ws-15beedd8.pth",
  "jhu/resnet101_gn_ws": "https://download.openmmlab.com/pretrain/third_party/resnet101_gn_ws-3e3c308c.pth",
  "jhu/resnext50_32x4d_gn_ws": "https://download.openmmlab.com/pretrain/third_party/resnext50_32x4d_gn_ws-0d87ac85.pth",
  "jhu/resnext101_32x4d_gn_ws": "https://download.openmmlab.com/pretrain/third_party/resnext101_32x4d_gn_ws-34ac1a9e.pth",
  "jhu/resnext50_32x4d_gn": "https://download.openmmlab.com/pretrain/third_party/resnext50_32x4d_gn-c7e8b754.pth",
  "jhu/resnext101_32x4d_gn": "https://download.openmmlab.com/pretrain/third_party/resnext101_32x4d_gn-ac3bb84e.pth",
  "msra/hrnetv2_w18_small": "https://download.openmmlab.com/pretrain/third_party/hrnetv2_w18_small-b5a04e21.pth",
  "msra/hrnetv2_w18": "https://download.openmmlab.com/pretrain/third_party/hrnetv2_w18-00eb2006.pth",
  "msra/hrnetv2_w32": "https://download.openmmlab.com/pretrain/third_party/hrnetv2_w32-dc9eeb4f.pth",
  "msra/hrnetv2_w40": "https://download.openmmlab.com/pretrain/third_party/hrnetv2_w40-ed0b031c.pth",
  "msra/hrnetv2_w48": "https://download.openmmlab.com/pretrain/third_party/hrnetv2_w48-d2186c55.pth",
  "bninception_caffe": "https://download.openmmlab.com/pretrain/third_party/bn_inception_caffe-ed2e8665.pth",
  "kin400/i3d_r50_f32s2_k400": "https://download.openmmlab.com/pretrain/third_party/i3d_r50_f32s2_k400-2c57e077.pth",
  "kin400/nl3d_r50_f32s2_k400": "https://download.openmmlab.com/pretrain/third_party/nl3d_r50_f32s2_k400-fa7e7caa.pth",
  "res2net101_v1d_26w_4s": "https://download.openmmlab.com/pretrain/third_party/res2net101_v1d_26w_4s_mmdetv2-f0a600f9.pth",
  "regnetx_400mf": "https://download.openmmlab.com/pretrain/third_party/regnetx_400mf-a5b10d96.pth",
  "regnetx_800mf": "https://download.openmmlab.com/pretrain/third_party/regnetx_800mf-1f4be4c7.pth",
  "regnetx_1.6gf": "https://download.openmmlab.com/pretrain/third_party/regnetx_1.6gf-5791c176.pth",
  "regnetx_3.2gf": "https://download.openmmlab.com/pretrain/third_party/regnetx_3.2gf-c2599b0f.pth",
  "regnetx_4.0gf": "https://download.openmmlab.com/pretrain/third_party/regnetx_4.0gf-a88f671e.pth",
  "regnetx_6.4gf": "https://download.openmmlab.com/pretrain/third_party/regnetx_6.4gf-006af45d.pth",
  "regnetx_8.0gf": "https://download.openmmlab.com/pretrain/third_party/regnetx_8.0gf-3c68abe7.pth",
  "regnetx_12gf": "https://download.openmmlab.com/pretrain/third_party/regnetx_12gf-4c2a3350.pth",
  "resnet18_v1c": "https://download.openmmlab.com/pretrain/third_party/resnet18_v1c-b5776b93.pth",
  "resnet50_v1c": "https://download.openmmlab.com/pretrain/third_party/resnet50_v1c-2cccc1ad.pth",
  "resnet101_v1c": "https://download.openmmlab.com/pretrain/third_party/resnet101_v1c-e67eebb6.pth",
  "mmedit/vgg16": "https://download.openmmlab.com/mmediting/third_party/vgg_state_dict.pth",
  "mmedit/res34_en_nomixup": "https://download.openmmlab.com/mmediting/third_party/model_best_resnet34_En_nomixup.pth",
  "mmedit/mobilenet_v2": "https://download.openmmlab.com/mmediting/third_party/mobilenet_v2.pth",
  "contrib/mobilenet_v3_large": "https://download.openmmlab.com/pretrain/third_party/mobilenet_v3_large-bc2c3fd3.pth",
  "contrib/mobilenet_v3_small": "https://download.openmmlab.com/pretrain/third_party/mobilenet_v3_small-47085aa1.pth",
  "resnest50": "https://download.openmmlab.com/pretrain/third_party/resnest50_d2-7497a55b.pth",
  "resnest101": "https://download.openmmlab.com/pretrain/third_party/resnest101_d2-f3b931b2.pth",
  "resnest200": "https://download.openmmlab.com/pretrain/third_party/resnest200_d2-ca88e41f.pth",
  "darknet53": "https://download.openmmlab.com/pretrain/third_party/darknet53-a628ea1b.pth",
  "mmdet/mobilenet_v2": "https://download.openmmlab.com/mmdetection/v2.0/third_party/mobilenet_v2_batch256_imagenet-ff34753d.pth"
}