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Hi, I recently downloded the weights provided here, and found some inconsistencies.
First, the best weights seem to be for a slightly modified ResNet18 model, and not the ResNet50 as stated.
The channels of the image are 2 but on the Source Code are left as 3.
This Error comes up : ValueError: Dimension 1 in both shapes must be equal, but are 1 and 4. Shapes are [8192,1] and [8192,4]. for 'Assign_106' (op: 'Assign') with input shapes: [8192,1], [8192,4].
As I understand, this is refferred to the outputs of the model. But why is it 4 if we're only expecting steering prediction?
The text was updated successfully, but these errors were encountered:
Hi, I recently downloded the weights provided here, and found some inconsistencies.
ValueError: Dimension 1 in both shapes must be equal, but are 1 and 4. Shapes are [8192,1] and [8192,4]. for 'Assign_106' (op: 'Assign') with input shapes: [8192,1], [8192,4].
As I understand, this is refferred to the outputs of the model. But why is it 4 if we're only expecting steering prediction?
The text was updated successfully, but these errors were encountered: