Helpful Dataset Tools for YOLO and YOLOR Training Model

We used these programs to automate repetitive tasks. Some codes aren't beautiful and appropriate because they are created just to finish their job without caring much about efficiency, etc.

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
.gitignore		.gitignore
README.md		README.md
add_labels_to_existing_labels.py		add_labels_to_existing_labels.py
auto_click.py		auto_click.py
change_class_index_specified.py		change_class_index_specified.py
change_class_indices.py		change_class_indices.py
convert_images_to_jpg.py		convert_images_to_jpg.py
count_all_classes.py		count_all_classes.py
crop_annotated_images.py		crop_annotated_images.py
get_all_images_path.py		get_all_images_path.py
get_labeled_images.py		get_labeled_images.py
remove_empty_label.py		remove_empty_label.py
remove_redundant_file.py		remove_redundant_file.py
remove_txt_with_no_image.py		remove_txt_with_no_image.py
rename_labeled_images.py		rename_labeled_images.py
resize_images.py		resize_images.py
separate_images_with_no_label.py		separate_images_with_no_label.py
separate_labeled_and_unlabeled_images.py		separate_labeled_and_unlabeled_images.py
train_test_split_dataset.py		train_test_split_dataset.py
verify_format.py		verify_format.py
video_to_images.py		video_to_images.py
webcam-labelling.py		webcam-labelling.py

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Helpful Dataset Tools for YOLO and YOLOR Training Model

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