Mismatch between pretrained backbone weights and MultiPersonPoseNet model

[iamlvm]

I followed the README to load the pretrained backbone model from this pretrained backbone and placed it at ${POSE_ROOT}/models/pose_resnet50_panoptic.pth.tar. However, I get a RuntimeError due to a mismatch between the model and the pretrained weights. The model expects keys with a backbone prefix (e.g., backbone.conv1.weight), but the weights have no prefix (e.g., conv1.weight). Can anyone help resolve this? Thanks!

RuntimeError: Error(s) in loading state_dict for MultiPersonPoseNet:
	Missing key(s) in state_dict: "backbone.conv1.weight", "backbone.bn1.weight", "backbone.bn1.bias", "backbone.bn1.running_mean", "backbone.bn1.running_var", "backbone.layer1.0.conv1.weight", "backbone.layer1.0.bn1.weight", "backbone.layer1.0.bn1.bias", "backbone.layer1.0.bn1.running_mean", "backbone.layer1.0.bn1.running_var", "backbone.layer1.0.conv2.weight", "backbone.layer1.0.bn2.weight", "backbone.layer1.0.bn2.bias", "backbone.layer1.0.bn2.running_mean", "backbone.layer1.0.bn2.running_var", "backbone.layer1.0.conv3.weight", "backbone.layer1.0.bn3.weight", "backbone.layer1.0.bn3.bias", "backbone.layer1.0.bn3.running_mean", "backbone.layer1.0.bn3.running_var", "backbone.layer1.0.downsample.0.weight", "backbone.layer1.0.downsample.1.weight", "backbone.layer1.0.downsample.1.bias", "backbone.layer1.0.downsample.1.running_mean", "backbone.layer1.0.downsample.1.running_var", "backbone.layer1.1.conv1.weight", "backbone.layer1.1.bn1.weight", "backbone.layer1.1.bn1.bias", 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"pose_net.v2v_net.encoder_decoder.mid_res.res_branch.0.weight", "pose_net.v2v_net.encoder_decoder.mid_res.res_branch.0.bias", "pose_net.v2v_net.encoder_decoder.mid_res.res_branch.1.weight", "pose_net.v2v_net.encoder_decoder.mid_res.res_branch.1.bias", "pose_net.v2v_net.encoder_decoder.mid_res.res_branch.1.running_mean", "pose_net.v2v_net.encoder_decoder.mid_res.res_branch.1.running_var", "pose_net.v2v_net.encoder_decoder.mid_res.res_branch.3.weight", "pose_net.v2v_net.encoder_decoder.mid_res.res_branch.3.bias", "pose_net.v2v_net.encoder_decoder.mid_res.res_branch.4.weight", "pose_net.v2v_net.encoder_decoder.mid_res.res_branch.4.bias", "pose_net.v2v_net.encoder_decoder.mid_res.res_branch.4.running_mean", "pose_net.v2v_net.encoder_decoder.mid_res.res_branch.4.running_var", "pose_net.v2v_net.encoder_decoder.decoder_res2.res_branch.0.weight", "pose_net.v2v_net.encoder_decoder.decoder_res2.res_branch.0.bias", "pose_net.v2v_net.encoder_decoder.decoder_res2.res_branch.1.weight", 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"pose_net.v2v_net.encoder_decoder.decoder_upsample2.block.1.running_var", "pose_net.v2v_net.encoder_decoder.decoder_res1.res_branch.0.weight", "pose_net.v2v_net.encoder_decoder.decoder_res1.res_branch.0.bias", "pose_net.v2v_net.encoder_decoder.decoder_res1.res_branch.1.weight", "pose_net.v2v_net.encoder_decoder.decoder_res1.res_branch.1.bias", "pose_net.v2v_net.encoder_decoder.decoder_res1.res_branch.1.running_mean", "pose_net.v2v_net.encoder_decoder.decoder_res1.res_branch.1.running_var", "pose_net.v2v_net.encoder_decoder.decoder_res1.res_branch.3.weight", "pose_net.v2v_net.encoder_decoder.decoder_res1.res_branch.3.bias", "pose_net.v2v_net.encoder_decoder.decoder_res1.res_branch.4.weight", "pose_net.v2v_net.encoder_decoder.decoder_res1.res_branch.4.bias", "pose_net.v2v_net.encoder_decoder.decoder_res1.res_branch.4.running_mean", "pose_net.v2v_net.encoder_decoder.decoder_res1.res_branch.4.running_var", "pose_net.v2v_net.encoder_decoder.decoder_upsample1.block.0.weight", "pose_net.v2v_net.encoder_decoder.decoder_upsample1.block.0.bias", "pose_net.v2v_net.encoder_decoder.decoder_upsample1.block.1.weight", "pose_net.v2v_net.encoder_decoder.decoder_upsample1.block.1.bias", "pose_net.v2v_net.encoder_decoder.decoder_upsample1.block.1.running_mean", "pose_net.v2v_net.encoder_decoder.decoder_upsample1.block.1.running_var", "pose_net.v2v_net.encoder_decoder.skip_res1.res_branch.0.weight", "pose_net.v2v_net.encoder_decoder.skip_res1.res_branch.0.bias", "pose_net.v2v_net.encoder_decoder.skip_res1.res_branch.1.weight", "pose_net.v2v_net.encoder_decoder.skip_res1.res_branch.1.bias", "pose_net.v2v_net.encoder_decoder.skip_res1.res_branch.1.running_mean", "pose_net.v2v_net.encoder_decoder.skip_res1.res_branch.1.running_var", "pose_net.v2v_net.encoder_decoder.skip_res1.res_branch.3.weight", "pose_net.v2v_net.encoder_decoder.skip_res1.res_branch.3.bias", "pose_net.v2v_net.encoder_decoder.skip_res1.res_branch.4.weight", 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"pose_net.v2v_net.encoder_decoder.skip_res2.res_branch.4.running_var", "pose_net.v2v_net.output_layer.weight", "pose_net.v2v_net.output_layer.bias". 
	Unexpected key(s) in state_dict: "conv1.weight", "bn1.weight", "bn1.bias", "bn1.running_mean", "bn1.running_var", "bn1.num_batches_tracked", "layer1.0.conv1.weight", "layer1.0.bn1.weight", "layer1.0.bn1.bias", "layer1.0.bn1.running_mean", "layer1.0.bn1.running_var", "layer1.0.bn1.num_batches_tracked", "layer1.0.conv2.weight", "layer1.0.bn2.weight", "layer1.0.bn2.bias", "layer1.0.bn2.running_mean", "layer1.0.bn2.running_var", "layer1.0.bn2.num_batches_tracked", "layer1.0.conv3.weight", "layer1.0.bn3.weight", "layer1.0.bn3.bias", "layer1.0.bn3.running_mean", "layer1.0.bn3.running_var", "layer1.0.bn3.num_batches_tracked", "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", "layer1.0.downsample.1.num_batches_tracked", "layer1.1.conv1.weight", "layer1.1.bn1.weight", "layer1.1.bn1.bias", "layer1.1.bn1.running_mean", "layer1.1.bn1.running_var", "layer1.1.bn1.num_batches_tracked", "layer1.1.conv2.weight", "layer1.1.bn2.weight", "layer1.1.bn2.bias", "layer1.1.bn2.running_mean", "layer1.1.bn2.running_var", "layer1.1.bn2.num_batches_tracked", "layer1.1.conv3.weight", "layer1.1.bn3.weight", "layer1.1.bn3.bias", "layer1.1.bn3.running_mean", "layer1.1.bn3.running_var", "layer1.1.bn3.num_batches_tracked", "layer1.2.conv1.weight", "layer1.2.bn1.weight", "layer1.2.bn1.bias", "layer1.2.bn1.running_mean", "layer1.2.bn1.running_var", "layer1.2.bn1.num_batches_tracked", "layer1.2.conv2.weight", "layer1.2.bn2.weight", "layer1.2.bn2.bias", "layer1.2.bn2.running_mean", "layer1.2.bn2.running_var", "layer1.2.bn2.num_batches_tracked", "layer1.2.conv3.weight", "layer1.2.bn3.weight", "layer1.2.bn3.bias", "layer1.2.bn3.running_mean", "layer1.2.bn3.running_var", "layer1.2.bn3.num_batches_tracked", "layer2.0.conv1.weight", "layer2.0.bn1.weight", "layer2.0.bn1.bias", "layer2.0.bn1.running_mean", "layer2.0.bn1.running_var", "layer2.0.bn1.num_batches_tracked", "layer2.0.conv2.weight", "layer2.0.bn2.weight", "layer2.0.bn2.bias", "layer2.0.bn2.running_mean", "layer2.0.bn2.running_var", "layer2.0.bn2.num_batches_tracked", "layer2.0.conv3.weight", "layer2.0.bn3.weight", "layer2.0.bn3.bias", "layer2.0.bn3.running_mean", "layer2.0.bn3.running_var", "layer2.0.bn3.num_batches_tracked", "layer2.0.downsample.0.weight", "layer2.0.downsample.1.weight", "layer2.0.downsample.1.bias", "layer2.0.downsample.1.running_mean", "layer2.0.downsample.1.running_var", "layer2.0.downsample.1.num_batches_tracked", "layer2.1.conv1.weight", "layer2.1.bn1.weight", "layer2.1.bn1.bias", "layer2.1.bn1.running_mean", "layer2.1.bn1.running_var", "layer2.1.bn1.num_batches_tracked", "layer2.1.conv2.weight", "layer2.1.bn2.weight", "layer2.1.bn2.bias", "layer2.1.bn2.running_mean", "layer2.1.bn2.running_var", "layer2.1.bn2.num_batches_tracked", "layer2.1.conv3.weight", "layer2.1.bn3.weight", "layer2.1.bn3.bias", "layer2.1.bn3.running_mean", "layer2.1.bn3.running_var", "layer2.1.bn3.num_batches_tracked", "layer2.2.conv1.weight", "layer2.2.bn1.weight", "layer2.2.bn1.bias", "layer2.2.bn1.running_mean", "layer2.2.bn1.running_var", "layer2.2.bn1.num_batches_tracked", "layer2.2.conv2.weight", "layer2.2.bn2.weight", "layer2.2.bn2.bias", "layer2.2.bn2.running_mean", "layer2.2.bn2.running_var", "layer2.2.bn2.num_batches_tracked", "layer2.2.conv3.weight", "layer2.2.bn3.weight", "layer2.2.bn3.bias", "layer2.2.bn3.running_mean", "layer2.2.bn3.running_var", "layer2.2.bn3.num_batches_tracked", "layer2.3.conv1.weight", "layer2.3.bn1.weight", "layer2.3.bn1.bias", "layer2.3.bn1.running_mean", "layer2.3.bn1.running_var", "layer2.3.bn1.num_batches_tracked", "layer2.3.conv2.weight", "layer2.3.bn2.weight", "layer2.3.bn2.bias", "layer2.3.bn2.running_mean", "layer2.3.bn2.running_var", "layer2.3.bn2.num_batches_tracked", "layer2.3.conv3.weight", "layer2.3.bn3.weight", "layer2.3.bn3.bias", "layer2.3.bn3.running_mean", "layer2.3.bn3.running_var", "layer2.3.bn3.num_batches_tracked", "layer3.0.conv1.weight", "layer3.0.bn1.weight", "layer3.0.bn1.bias", "layer3.0.bn1.running_mean", "layer3.0.bn1.running_var", "layer3.0.bn1.num_batches_tracked", "layer3.0.conv2.weight", "layer3.0.bn2.weight", "layer3.0.bn2.bias", "layer3.0.bn2.running_mean", "layer3.0.bn2.running_var", "layer3.0.bn2.num_batches_tracked", "layer3.0.conv3.weight", "layer3.0.bn3.weight", "layer3.0.bn3.bias", "layer3.0.bn3.running_mean", "layer3.0.bn3.running_var", "layer3.0.bn3.num_batches_tracked", "layer3.0.downsample.0.weight", "layer3.0.downsample.1.weight", "layer3.0.downsample.1.bias", "layer3.0.downsample.1.running_mean", "layer3.0.downsample.1.running_var", "layer3.0.downsample.1.num_batches_tracked", "layer3.1.conv1.weight", "layer3.1.bn1.weight", "layer3.1.bn1.bias", "layer3.1.bn1.running_mean", "layer3.1.bn1.running_var", "layer3.1.bn1.num_batches_tracked", "layer3.1.conv2.weight", "layer3.1.bn2.weight", "layer3.1.bn2.bias", "layer3.1.bn2.running_mean", 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