Configuration and weights do not load

[IamShubhamGupto]

Greetings Authors,

We are having issues loading the weights for the configuration model - FCSGG_HRNet_W48_DualHRFPN_5s_Fixsize_640x1024_MS.yaml. We are loading the weights available here but are getting the following stack trace.

Please help us debug the issue / provide a solution.

Thank you

[12/17 05:09:04 detectron2]: Full config saved to ./output/vg/fcsgg_hrnet_w48_dualhrfpn_5s_640x1024_ms/config.yaml
Traceback (most recent call last):
  File "tools/analyze_model.py", line 136, in <module>
    {
  File "tools/analyze_model.py", line 90, in do_parameter
    model = build_model(cfg)
  File "/content/fcsgg/detectron2/detectron2/modeling/meta_arch/build.py", line 21, in build_model
    model = META_ARCH_REGISTRY.get(meta_arch)(cfg)
  File "/content/fcsgg/detectron2/detectron2/config/config.py", line 149, in wrapped
    explicit_args = _get_args_from_config(from_config_func, *args, **kwargs)
  File "/content/fcsgg/detectron2/detectron2/config/config.py", line 182, in _get_args_from_config
    ret = from_config_func(*args, **kwargs)
  File "/content/fcsgg/fcsgg/modeling/meta_arch/onestage_detector.py", line 403, in from_config
    backbone = build_backbone(cfg)
  File "/content/fcsgg/detectron2/detectron2/modeling/backbone/build.py", line 31, in build_backbone
    backbone = BACKBONE_REGISTRY.get(backbone_name)(cfg, input_shape)
  File "/content/fcsgg/fcsgg/modeling/backbone/hrnet.py", line 526, in build_hrnet_backbone
    model = PoseHigherResolutionNet(cfg).load_pretrained_model()
  File "/content/fcsgg/fcsgg/modeling/backbone/hrnet.py", line 516, in load_pretrained_model
    self.load_state_dict(pretrained_dict)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1667, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for PoseHigherResolutionNet:
	Missing key(s) in state_dict: "conv1.weight", "bn1.weight", "bn1.bias", "bn1.running_mean", "bn1.running_var", "conv2.weight", "bn2.weight", "bn2.bias", "bn2.running_mean", "bn2.running_var", "layer1.0.conv1.weight", "layer1.0.bn1.weight", "layer1.0.bn1.bias", "layer1.0.bn1.running_mean", "layer1.0.bn1.running_var", "layer1.0.conv2.weight", "layer1.0.bn2.weight", "layer1.0.bn2.bias", "layer1.0.bn2.running_mean", "layer1.0.bn2.running_var", "layer1.0.conv3.weight", "layer1.0.bn3.weight", "layer1.0.bn3.bias", "layer1.0.bn3.running_mean", "layer1.0.bn3.running_var", "layer1.0.downsample.0.weight", "layer1.0.downsample.1.weight", "layer1.0.downsample.1.bias", "layer1.0.downsample.1.running_mean", "layer1.0.downsample.1.running_var", "layer1.1.conv1.weight", "layer1.1.bn1.weight", "layer1.1.bn1.bias", "layer1.1.bn1.running_mean", "layer1.1.bn1.running_var", "layer1.1.conv2.weight", "layer1.1.bn2.weight", "layer1.1.bn2.bias", "layer1.1.bn2.running_mean", "layer1.1.bn2.running_var", "layer1.1.conv3.weight", "layer1.1.bn3.weight", "layer1.1.bn3.bias", "layer1.1.bn3.running_mean", "layer1.1.bn3.running_var", "layer1.2.conv1.weight", "layer1.2.bn1.weight", "layer1.2.bn1.bias", "layer1.2.bn1.running_mean", "layer1.2.bn1.running_var", "layer1.2.conv2.weight", "layer1.2.bn2.weight", "layer1.2.bn2.bias", "layer1.2.bn2.running_mean", "layer1.2.bn2.running_var", "layer1.2.conv3.weight", "layer1.2.bn3.weight", "layer1.2.bn3.bias", "layer1.2.bn3.running_mean", "layer1.2.bn3.running_var", "layer1.3.conv1.weight", "layer1.3.bn1.weight", "layer1.3.bn1.bias", "layer1.3.bn1.running_mean", "layer1.3.bn1.running_var", "layer1.3.conv2.weight", "layer1.3.bn2.weight", "layer1.3.bn2.bias", "layer1.3.bn2.running_mean", "layer1.3.bn2.running_var", "layer1.3.conv3.weight", "layer1.3.bn3.weight", "layer1.3.bn3.bias", "layer1.3.bn3.running_mean", "layer1.3.bn3.running_var", "transition1.0.0.weight", "transition1.0.1.weight", "transition1.0.1.bias", "transition1.0.1.running_mean", "transition1.0.1.running_var", "transition1.1.0.0.weight", "transition1.1.0.1.weight", "transition1.1.0.1.bias", "transition1.1.0.1.running_mean", "transition1.1.0.1.running_var", "stage2.0.branches.0.0.conv1.weight", "stage2.0.branches.0.0.bn1.weight", "stage2.0.branches.0.0.bn1.bias", "stage2.0.branches.0.0.bn1.running_mean", "stage2.0.branches.0.0.bn1.running_var", "stage2.0.branches.0.0.conv2.weight", "stage2.0.branches.0.0.bn2.weight", "stage2.0.branches.0.0.bn2.bias", "stage2.0.branches.0.0.bn2.running_mean", "stage2.0.branches.0.0.bn2.running_var", "stage2.0.branches.0.1.conv1.weight", "stage2.0.branches.0.1.bn1.weight", "stage2.0.branches.0.1.bn1.bias", "stage2.0.branches.0.1.bn1.running_mean", "stage2.0.branches.0.1.bn1.running_var", "stage2.0.branches.0.1.conv2.weight", "stage2.0.branches.0.1.bn2.weight", "stage2.0.branches.0.1.bn2.bias", "stage2.0.branches.0.1.bn2.running_mean", "stage2.0.branches.0.1.bn2.running_var", "stage2.0.branches.0.2.conv1.weight", 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