phillipi/pix2pix
pix2pix
Image-to-image translation with conditional adversarial nets
30/100Image
Stars10,639
Forks1,735
LanguageLua
Overview
Image-to-image translation with conditional adversarial nets
Best for
- Evaluating pix2pix for Lua AI workflows.
- Comparing a GitHub project with 10,639 stars and current repository activity.
Pros
- pix2pix has visible GitHub traction with 10,639 stars. Topics: computer-graphics, computer-vision, dcgan.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- No license was detected, so usage risk needs manual review.
Production readiness
pix2pix should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
GitHub did not report a license, which usually requires manual legal review before production use.
Install
git clone [email protected]:phillipi/pix2pix.gitpython scripts/combine_A_and_B.py --fold_A /path/to/data/A --fold_B /path/to/data/B --fold_AB /path/to/datapython ./scripts/eval_cityscapes/evaluate.py --cityscapes_dir /path/to/original/cityscapes/dataset/ --result_dir /path/to/your/predictions/ --output_dir /path/to/output/directory/