Here are
25 public repositories
matching this topic...
A list of synthetic dataset and tools for computer vision
Updated
Oct 4, 2019
Python
TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"
Updated
Dec 10, 2019
Python
A curated list of awesome projects which use Machine Learning to generate synthetic content.
TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
Updated
Apr 17, 2020
Python
Optical Flow Dataset and Benchmark for Visual Crowd Analysis
Updated
Oct 29, 2019
Python
This repository will provide tools and news about The OmniScape Dataset
Repository for Transfer Learning using Deep CNNs trained with synthetic images
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans
Updated
Sep 3, 2020
Python
Using synthetic data in combination with Deep Learning, to determine if a system can be made that will be able to recognise and classify correctly real traffic signs.
Updated
May 28, 2018
Jupyter Notebook
These functions will randomly distort image data to amplify total amount of images for use in machine learning algorithms.
Updated
Apr 26, 2017
Python
A unified framework for example-based texture synthesis, developed alongside my master's thesis.
A semi-synthetic dataset generation tool, specifically crafted for CNN training in drone racing.
Updated
Nov 3, 2019
Python
Omnidirectional Synthetic image generator for Computer Vision
Python version of the FluxCompensator described in Koepferl & Robitaille (ApJ, 2017)
Updated
May 31, 2018
Python
Generative Model with Coordinate Metric Learning
Updated
May 1, 2018
Python
A tool to create a synthetic data set, with annotations in the Pascal VOC Format, for use in object classification and detection/tracking.
Updated
Nov 10, 2017
Python
Minimal example of domain translation using CycleGAN, applied to OCR image data.
Updated
Jul 21, 2019
Python
Generate realistic synthetic images using unsupervised learning techniques of Generative Adversarial Networks (GANs)
Updated
Jul 11, 2017
Jupyter Notebook
The Illustris Virtual Observatory is an expanded iteration of the Sunpy module(ptorrey) for creating synthetic SDSS, HST, or JWST images of galaxies from the Illustris simulation. For instructions on how to install/use this program, please go to this address:
Updated
Apr 13, 2020
Python
Сhess game image generation using unity3d
Generate synthetic image using DCGAN on mnist data
Updated
Aug 1, 2020
Jupyter Notebook
Generate synthetic image using DCGAN on fashion mnist data
Updated
Aug 2, 2020
Jupyter Notebook
A list of synthetic dataset and tools for computer vision
Updated
May 2, 2018
Python
Synthetic Image generation using GANs for Breast Histopathology Images
Updated
Jun 15, 2020
Jupyter Notebook
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