aditisingh / pixeltranslator

We use cGAN to fillin the synthetic colors on gray images of border/vein. And evaluated the reconstruction accuracy by leaf types classification using Alexnet CNN Protopytpe of generate fake image from hand-drawn vein has also been proposed.

PixelTranslator

We use cGAN to fillin the synthetic colors on gray images of border/vein. And evaluated the reconstruction accuracy by leaf types classification using Alexnet CNN Protopytpe of generate fake image from hand-drawn vein has also been proposed. See in detail: Report, PPT

－ Step 1. Vein detection (Pre-processing)

－ Step 2. GAN (GAN reconstruction using pre-processed image)

－ Step 3. CNN (Classification using Alexnet)

Addition: Interactive Interface, allows to draw images in real time, and get GAN reconstruction, and classification using CNN.

Code adapted from cycleGAN https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix

Task Distribution

Group Member	Contributions
Rachel Mills	Literature review, dataset assembly
Raj Shah	GAN model study, GAN result analysis, report compilation
Xiaoyang Li	Image preprocessing, GAN code review, GAN implementation
Gaurav Roy	CNN model study, CNN result analysis, report compilation
Aditi Singh	GAN code review, CNN implementation, Interactive Interface building