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I tried to load the pretrained FlowNetS model (https://drive.google.com/drive/folders/16eo3p9dO_vmssxRoZCmWkTpNjKRzJzn5), but I have the following issues:
Model_dict of the pretrained model:
odict_keys(['conv1.0.weight', 'conv1.0.bias', 'conv2.0.weight', 'conv2.0.bias', 'conv3.0.weight', 'conv3.0.bias', 'conv3_1.0.weight', 'conv3_1.0.bias', 'conv4.0.weight', 'conv4.0.bias', 'conv4_1.0.weight', 'conv4_1.0.bias', 'conv5.0.weight', 'conv5.0.bias', 'conv5_1.0.weight', 'conv5_1.0.bias', 'conv6.0.weight', 'conv6.0.bias', 'conv6_1.0.weight', 'conv6_1.0.bias', 'deconv5.0.weight', 'deconv4.0.weight', 'deconv3.0.weight', 'deconv2.0.weight', 'predict_flow6.weight', 'predict_flow5.weight', 'predict_flow4.weight', 'predict_flow3.weight', 'predict_flow2.weight', 'upsampled_flow6_to_5.weight', 'upsampled_flow5_to_4.weight', 'upsampled_flow4_to_3.weight', 'upsampled_flow3_to_2.weight'])
Model_dict of the original convolutional layers:
odict_keys(['conv1.0.weight', 'conv1.1.weight', 'conv1.1.bias', 'conv1.1.running_mean', 'conv1.1.running_var', 'conv1.1.num_batches_tracked', 'conv2.0.weight', 'conv2.1.weight', 'conv2.1.bias', 'conv2.1.running_mean', 'conv2.1.running_var', 'conv2.1.num_batches_tracked', 'conv3.0.weight', 'conv3.1.weight', 'conv3.1.bias', 'conv3.1.running_mean', 'conv3.1.running_var', 'conv3.1.num_batches_tracked', 'conv3_1.0.weight', 'conv3_1.1.weight', 'conv3_1.1.bias', 'conv3_1.1.running_mean', 'conv3_1.1.running_var', 'conv3_1.1.num_batches_tracked', 'conv4.0.weight', 'conv4.1.weight', 'conv4.1.bias', 'conv4.1.running_mean', 'conv4.1.running_var', 'conv4.1.num_batches_tracked', 'conv4_1.0.weight', 'conv4_1.1.weight', 'conv4_1.1.bias', 'conv4_1.1.running_mean', 'conv4_1.1.running_var', 'conv4_1.1.num_batches_tracked', 'conv5.0.weight', 'conv5.1.weight', 'conv5.1.bias', 'conv5.1.running_mean', 'conv5.1.running_var', 'conv5.1.num_batches_tracked', 'conv5_1.0.weight', 'conv5_1.1.weight', 'conv5_1.1.bias', 'conv5_1.1.running_mean', 'conv5_1.1.running_var', 'conv5_1.1.num_batches_tracked', 'conv6.0.weight', 'conv6.1.weight', 'conv6.1.bias', 'conv6.1.running_mean', 'conv6.1.running_var', 'conv6.1.num_batches_tracked']
As a result, I cannot reload the weights of the convolutional layers from pretrained model FlowNetS. Can anyone tell me what's wrong with this matter?
The text was updated successfully, but these errors were encountered:
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I tried to load the pretrained FlowNetS model (https://drive.google.com/drive/folders/16eo3p9dO_vmssxRoZCmWkTpNjKRzJzn5), but I have the following issues:
Model_dict of the pretrained model:
odict_keys(['conv1.0.weight', 'conv1.0.bias', 'conv2.0.weight', 'conv2.0.bias', 'conv3.0.weight', 'conv3.0.bias', 'conv3_1.0.weight', 'conv3_1.0.bias', 'conv4.0.weight', 'conv4.0.bias', 'conv4_1.0.weight', 'conv4_1.0.bias', 'conv5.0.weight', 'conv5.0.bias', 'conv5_1.0.weight', 'conv5_1.0.bias', 'conv6.0.weight', 'conv6.0.bias', 'conv6_1.0.weight', 'conv6_1.0.bias', 'deconv5.0.weight', 'deconv4.0.weight', 'deconv3.0.weight', 'deconv2.0.weight', 'predict_flow6.weight', 'predict_flow5.weight', 'predict_flow4.weight', 'predict_flow3.weight', 'predict_flow2.weight', 'upsampled_flow6_to_5.weight', 'upsampled_flow5_to_4.weight', 'upsampled_flow4_to_3.weight', 'upsampled_flow3_to_2.weight'])
Model_dict of the original convolutional layers:
odict_keys(['conv1.0.weight', 'conv1.1.weight', 'conv1.1.bias', 'conv1.1.running_mean', 'conv1.1.running_var', 'conv1.1.num_batches_tracked', 'conv2.0.weight', 'conv2.1.weight', 'conv2.1.bias', 'conv2.1.running_mean', 'conv2.1.running_var', 'conv2.1.num_batches_tracked', 'conv3.0.weight', 'conv3.1.weight', 'conv3.1.bias', 'conv3.1.running_mean', 'conv3.1.running_var', 'conv3.1.num_batches_tracked', 'conv3_1.0.weight', 'conv3_1.1.weight', 'conv3_1.1.bias', 'conv3_1.1.running_mean', 'conv3_1.1.running_var', 'conv3_1.1.num_batches_tracked', 'conv4.0.weight', 'conv4.1.weight', 'conv4.1.bias', 'conv4.1.running_mean', 'conv4.1.running_var', 'conv4.1.num_batches_tracked', 'conv4_1.0.weight', 'conv4_1.1.weight', 'conv4_1.1.bias', 'conv4_1.1.running_mean', 'conv4_1.1.running_var', 'conv4_1.1.num_batches_tracked', 'conv5.0.weight', 'conv5.1.weight', 'conv5.1.bias', 'conv5.1.running_mean', 'conv5.1.running_var', 'conv5.1.num_batches_tracked', 'conv5_1.0.weight', 'conv5_1.1.weight', 'conv5_1.1.bias', 'conv5_1.1.running_mean', 'conv5_1.1.running_var', 'conv5_1.1.num_batches_tracked', 'conv6.0.weight', 'conv6.1.weight', 'conv6.1.bias', 'conv6.1.running_mean', 'conv6.1.running_var', 'conv6.1.num_batches_tracked']
As a result, I cannot reload the weights of the convolutional layers from pretrained model FlowNetS. Can anyone tell me what's wrong with this matter?
The text was updated successfully, but these errors were encountered: