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Following is the message I recieve: failed to read all weights, # of unread weights: 0 load from ./darknet_base_model/yolov4.weights
I am training it on the ASL (American Sign Language) dataset and it has 26 classes from A-Z.
The class file is formatted as per standard (1 class per line).
The text was updated successfully, but these errors were encountered:
Is it necessary to use the pretrained weights in your case? The dataset you are using looks quite different from VOC/COCO anyway, so maybe you should just train the network from scratch.
They are different no doubt, but certain low level features that would be captured at the upper levels of the model would be fairly similar and I would ideally look to having those layers frozen, leaving the deeper layers, which more dataset specific features, unfrozen
Following is the message I recieve:
failed to read all weights, # of unread weights: 0 load from ./darknet_base_model/yolov4.weights
I am training it on the ASL (American Sign Language) dataset and it has 26 classes from A-Z.
The class file is formatted as per standard (1 class per line).
The text was updated successfully, but these errors were encountered: