New features & bug fixes

[ProGamerGov]

Bug Fixes:

• Resolved confusion between BGR and RGB usage. Some custom models may need to be retrained.
• Visualization scripts can now load all 3 starter models without errors.
• The -seed parameter in the train_googlenet.py script should work more effectively now. Though this may not be the case if multiple training or validation workers are used.

Changes:

• The train_googlenet.py script now saves mean and standard deviation values in BGR format rather than RGB format.
• The visualization scripts now expects mean and standard deviation values in BGR format rather than RGB format.
• The calc_ms.py script now outputs normalization values in BGR format rather than RGB.
• The vis_fc.py script has been replaced with vis_multi.py.

New Features:

• The new vis_multi.py script lets you visualize all channels in any specified layer, and lets you select a visualization batch size among other new features.
• Added new tool to edit model file values, called edit_model.py.
• Added new normalization value format attribute to models for easier handling of BGR and RGB models.
• Added -use_rgb parameter to the calc_ms.py script for if you want the original behavior.

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To update your old models to the new correct format:

python data_tools/edit_model.py -model_file <your-model.pth> -normval_format bgr -reverse_normvals -output_name <updated-model.pth>

[ProGamerGov]

I also changed neural-dream's behavior for loading Dream-Creator models: ProGamerGov/neural-dream@e8cd4e6