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Helpful programs for dataset preparation in YOLO and YOLOR detection algorithms.

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.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

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.

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Helpful programs for dataset preparation in YOLO and YOLOR detection algorithms.

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python yolo scripts-collection yolor

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