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]

A library for augmentation of a YOLO-formated dataset

Related tags

Overview

YOLO Dataset Augmentation lib

Инструкция по использованию этой библиотеки

GoogleCrawl_to_Dataset.py

augmentation_instruments.py

aug_data.py

Owner

Egor Orel

Exploring Visual Engagement Signals for Representation Learning

📚 A collection of all the Deep Learning Metrics that I came across which are not accuracy/loss.

Simple machine learning library / 簡單易用的機器學習套件

Generate indoor scenes with Transformers

Extracts data from the database for a graph-node and stores it in parquet files

Learned Initializations for Optimizing Coordinate-Based Neural Representations

A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines

Rede Neural Convolucional feita durante o processo seletivo do Laboratório de Inteligência Artificial da FACOM (UFMS)

A large-scale video dataset for the training and evaluation of 3D human pose estimation models

Scalable, event-driven, deep-learning-friendly backtesting library

Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

李云龙二次元风格化!打滚卖萌，使用了animeGANv2进行了视频的风格迁移

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, and Adrien Gaidon.

A parametric soroban written with CADQuery.

Task Transformer Network for Joint MRI Reconstruction and Super-Resolution (MICCAI 2021)

Civsim is a basic civilisation simulation and modelling system built in Python 3.8.

MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning

Tool for live presentations using manim

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

A library for augmentation of a YOLO-formated dataset

Related tags

Overview

YOLO Dataset Augmentation lib

Инструкция по использованию этой библиотеки

GoogleCrawl_to_Dataset.py

augmentation_instruments.py

aug_data.py

Owner

Egor Orel

Exploring Visual Engagement Signals for Representation Learning

📚 A collection of all the Deep Learning Metrics that I came across which are not accuracy/loss.

Simple machine learning library / 簡單易用的機器學習套件

Generate indoor scenes with Transformers

Extracts data from the database for a graph-node and stores it in parquet files

Learned Initializations for Optimizing Coordinate-Based Neural Representations

A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines

Rede Neural Convolucional feita durante o processo seletivo do Laboratório de Inteligência Artificial da FACOM (UFMS)

A large-scale video dataset for the training and evaluation of 3D human pose estimation models

Scalable, event-driven, deep-learning-friendly backtesting library

Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

李云龙二次元风格化!打滚卖萌，使用了animeGANv2进行了视频的风格迁移

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

A parametric soroban written with CADQuery.

Task Transformer Network for Joint MRI Reconstruction and Super-Resolution (MICCAI 2021)

Civsim is a basic civilisation simulation and modelling system built in Python 3.8.

MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning

Tool for live presentations using manim

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, and Adrien Gaidon.