A library for augmentation of a YOLO-formated dataset

Last update: Dec 10, 2022

Related tags

Deep Learning yolo_dataset_augmentation

Overview

YOLO Dataset Augmentation lib

Инструкция по использованию этой библиотеки

Запуск всех файлов осуществлять из консоли.

GoogleCrawl_to_Dataset.py

Это скрипт для скачивания фотографий из Google для дополнения датасета.

Формат вызова: python GoogleCrawl_to_Dataset.py [PATH/TO/SAVE/IMAGES] [keyword] [number of images]

augmentation_instruments.py

Cодержит класс с инструментами аугментации данных.

aug_data.py

Это скрипт для аугментации фотографий из указанной папки.

Будут дополнены только фото с разметкой labelimg.

Параметры для аугментации: резкость, размытие по Гауссу, яркость, контрастность, шум "соль-перец".

Каждое дополненное изображение будет также повёрнуто на 30, 60, ..., 330 градусов с сохранением разметки.

Формат вызова: python aug_data.py [PATH/TO/IMAGES]

Owner

Egor Orel

AI & Robotics student. Born in Russia. Study in Italy.

Egor Orel

GitHub Repository

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