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how to train on my own dataset? #1

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manvirvirk opened this issue Mar 19, 2020 · 1 comment

manvirvirk commented Mar 19, 2020

how to train on my own dataset?

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ManuelPalermo commented Nov 17, 2020

Sorry for the long delay, did not get notified for some reason.

You just need to create some function to get data paths for the image frames/labels of your dataset, in order to create DataGenerator objects:

train_path_data = ["img_path1", "img_path2", ..., "img_pathn"]
train_path_labels = ["label_path1", "label_path2", ..., "label_pathn"]
train_data = DataGenerator(images_paths=train_path_data, target_paths=train_path_labels, .... )

#(You should create similar generators for validation and testing)

The data generators are then responsible for reading the data from disk and feeding it to the model.

Let me know if you have further questions.

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