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

Python script that analyses the given datasets and comes up with the best polynomial regression representation with the smallest polynomial degree possible

Python script that analyses the given datasets and comes up with the best polynomial regression representation with the smallest polynomial degree possible, to be the most reliable with the least com

2 Aug 01, 2022

Framework for abstracting Amiga debuggers and access to AmigaOS libraries and devices.

Framework for abstracting Amiga debuggers. This project provides abstration to control an Amiga remotely using a debugger. The APIs are not yet stable

39 Nov 22, 2022

ObjectDetNet is an easy, flexible, open-source object detection framework

Getting started with the ObjectDetNet ObjectDetNet is an easy, flexible, open-source object detection framework which allows you to easily train, resu

5 Aug 25, 2020

On Generating Extended Summaries of Long Documents

ExtendedSumm This repository contains the implementation details and datasets used in On Generating Extended Summaries of Long Documents paper at the

76 Sep 05, 2022

Deep Implicit Moving Least-Squares Functions for 3D Reconstruction

DeepMLS: Deep Implicit Moving Least-Squares Functions for 3D Reconstruction This repository contains the implementation of the paper: Deep Implicit Mo

103 Dec 22, 2022

Accelerated SMPL operation, commonly used in generate 3D human mesh, STAR included.

SMPL2 An enchanced and accelerated SMPL operation which commonly used in 3D human mesh generation. It takes a poses, shapes, cam_trans as inputs, outp

20 Oct 17, 2022

Towhee is a flexible machine learning framework currently focused on computing deep learning embeddings over unstructured data.

Towhee is a flexible machine learning framework currently focused on computing deep learning embeddings over unstructured data.

1.7k Jan 08, 2023

Code of Periodic Activation Functions Induce Stationarity

Periodic Activation Functions Induce Stationarity This repository is the official implementation of the methods in the publication: L. Meronen, M. Tra

12 Jun 07, 2022

Generative code template for PixelBeasts 10k NFT project.

generator-template Generative code template for combining transparent png attributes into 10,000 unique images. Used for the PixelBeasts 10k NFT proje

9 Aug 24, 2022

Official Pytorch Implementation of GraphiT

GraphiT: Encoding Graph Structure in Transformers This repository implements GraphiT, described in the following paper: Grégoire Mialon*, Dexiong Chen

80 Nov 27, 2022

Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"

corn-ordinal-neuralnet This repository contains the orginal model code and experiment logs for the paper "Deep Neural Networks for Rank Consistent Ord

14 Dec 27, 2022

Instant neural graphics primitives: lightning fast NeRF and more

Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a fact

10.6k Jan 01, 2023

IJCAI2020 & IJCV 2020 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo

Seg_Uncertainty In this repo, we provide the code for the two papers, i.e., MRNet：Unsupervised Scene Adaptation with Memory Regularization in vivo, IJ

348 Jan 05, 2023

Implementation of PyTorch-based multi-task pre-trained models

mtdp Library containing implementation related to the research paper "Multi-task pre-training of deep neural networks for digital pathology" (Mormont

27 Oct 14, 2022

PFFDTD is an open-source FDTD simulator for 3D room acoustics

PFFDTD is an open-source FDTD simulator for 3D room acoustics

34 Nov 24, 2022

Type4Py: Deep Similarity Learning-Based Type Inference for Python

Type4Py: Deep Similarity Learning-Based Type Inference for Python This repository contains the implementation of Type4Py and instructions for re-produ

45 Dec 15, 2022

From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement (CVPR'2020)

Under-exposure introduces a series of visual degradation, i.e. decreased visibility, intensive noise, and biased color, etc. To address these problems, we propose a novel semi-supervised learning app

117 Jan 03, 2023

For AILAB: Cross Lingual Retrieval on Yelp Search Engine

Cross-lingual Information Retrieval Model for Document Search Train Phase CUDA_VISIBLE_DEVICES="0,1,2,3" \ python -m torch.distributed.launch --nproc_

104 Nov 12, 2022

Demonstrates iterative FGSM on Apple's NeuralHash model.

apple-neuralhash-attack Demonstrates iterative FGSM on Apple's NeuralHash model. TL;DR: It is possible to apply noise to CSAM images and make them loo

11 Jun 23, 2022

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

2k Dec 31, 2022