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Hi,
This is what I did to run it on my images:
1/First add a "configuration file" for your images in deep-darts/configs (one similar to the 2 yaml files already there)
2/Then you need annotate your images by running the annotate.py this will create the labels (you might have to put them in a specific directory: see what you get from the error message).
This will create the true "labels" for your images.
3/ make sure to comment the assert line in dataloader.py (asserts the dataset is either d1 or d2) and add a line to handle your data.
In predict.py also handle the case for your own config by setting your own value for the labels_path
4/Then you run the predict.py on your images
Hi,
How can this be used to predict from an image taken by me?
Kind regards
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