Utilizing synthetic images to enhance the automated recognition of small-sized construction tools
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Updated
Apr 14, 2024 - Jupyter Notebook
Utilizing synthetic images to enhance the automated recognition of small-sized construction tools
This repository contains documents and source code related to John W. Belanger Smutny's Viriginia Tech Master's of Engineering senior capstone project on "The Effect of Training Published Computer Vision Models on Unreal Engine Synthetic Images". An Introduction to the Synergy between Graphics Rendering Software and Machine Learning.
The CGI2Real_Multi-Class_Image_Classifier categorizes humans, horses, or both using transfer learning from Inception CNN. Trained on synthetic images, it can also classify real ones.
Create Synthetic-Images in TensorFlow using Generative Adversarial Network and Deepfakes using Keras.
'Robust Deepfake Detection' project for the Deep Learning course at ETH Zurich, 2021. Authors (alphabetic): David Kamm, Nicolas Muntwyler, Alexander Timans, Moritz Vandenhirtz.
A list of synthetic dataset and tools for computer vision
Binary classification algorithm and synthetic images generator based on network theory
Generate synthetic image using DCGAN on mnist data
Tool for generating synthetic images for natural language text descriptions in English.
Сhess game image generation using unity3d
Generate synthetic image using DCGAN on fashion mnist data
Generated mold
Implementation of synthetic refocusing imaging and image-based relighting.
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:
Minimal example of domain translation using CycleGAN, applied to OCR image data.
A tool to create a synthetic data set, with annotations in the Pascal VOC Format, for use in object classification and detection/tracking.
Generate realistic synthetic images using unsupervised learning techniques of Generative Adversarial Networks (GANs)
Generative Model with Coordinate Metric Learning
Python version of the FluxCompensator described in Koepferl & Robitaille (ApJ, 2017)
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