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---
license: mit
pipeline_tag: image-to-image
library_name: pytorch
tags:
- Pix2Pix
---
# Pix2Pix SAR To RGB
`yuulind/pix2pix-sar2rgb`
- This is a Pix2Pix CGAN implementation for translating Synthetic Aperture Radar (SAR) images to Optical (RGB) images.
- For more information on code, please check [GitHub Repo](https://github.com/yuuIind/SAR2Optical)
- The demo: [yuulind/sar2rgb](https://huggingface.co/spaces/yuulind/sar2rgb)
- Includes checkpoints from epoch: 180, 265, 295
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is custom implementation of pix2pix architecture in PyTorch. The code can found in [GitHub Repo](https://github.com/yuuIind/SAR2Optical)
The official lua implementaion: [GitHub Repo](https://github.com/phillipi/pix2pix)
The official PyTorch implementation [GitHub Repo](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)
- **Model type:** Image to Image Translation
- **BASELINE FID SCORE** is between **30 and 40**
- Baseline score is calculated by randomly sampling two sets from real images and comparing the them.
| Number | Name | Model Type | Description | Link to Model File |
|--------|-------------------------|---------------|-----------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|
| 1 | pix2pix_gen_180.pth | Generator | Pix2Pix generator with transpose convolution, 180 epochs. **FID score is 185.04** | [pix2pix_gen_180.pth](https://huggingface.co/yuulind/pix2pix-sar2rgb/resolve/main/pix2pix_gen_180.pth) |
| 2 | pix2pix_gen_265.pth | Generator | Pix2Pix generator with transpose convolution, 265 epochs. **FID score is 189.81** | [pix2pix_gen_265.pth](https://huggingface.co/yuulind/pix2pix-sar2rgb/resolve/main/pix2pix_gen_265.pth) |
| 3 | pix2pix_gen_295.pth | Generator | Pix2Pix generator with transpose convolution, 295 epochs. **FID score is 187.73** | [pix2pix_gen_295.pth](https://huggingface.co/yuulind/pix2pix-sar2rgb/resolve/main/pix2pix_gen_295.pth) |
| 4 | pix2pix_disc_180.pth | Discriminator | Pix2Pix discriminator from epoch 180, with transpose convolution generator. | [pix2pix_disc_180.pth](https://huggingface.co/yuulind/pix2pix-sar2rgb/resolve/main/pix2pix_disc_180.pth) |
| 5 | pix2pix_disc_265.pth | Discriminator | Pix2Pix discriminator from epoch 265, with transpose convolution generator. | [pix2pix_disc_265.pth](https://huggingface.co/yuulind/pix2pix-sar2rgb/resolve/main/pix2pix_disc_265.pth) |
| 6 | pix2pix_disc_295.pth | Discriminator | Pix2Pix discriminator from epoch 295, with transpose convolution generator. | [pix2pix_disc_295.pth](https://huggingface.co/yuulind/pix2pix-sar2rgb/resolve/main/pix2pix_disc_295.pth) |
<!--
| 4 | pix2pix_gen_nn_150.pth | Generator | Pix2Pix generator with upsampling, followed by normal convolutions, 150 epochs. | [pix2pix_gen_nn_150.pth](https://huggingface.co/yuulind/pix2pix-sar2rgb/resolve/main/pix2pix_gen_nn_150.pth) |
| 5 | pix2pix_gen_nn_300.pth | Generator | Pix2Pix generator with upsampling, followed by normal convolutions, 300 epochs. | [pix2pix_gen_nn_300.pth](https://huggingface.co/yuulind/pix2pix-sar2rgb/resolve/main/pix2pix_gen_nn_300.pth) |
| 8 | pix2pix_disc_nn_150.pth | Discriminator | Pix2Pix discriminator from epoch 150, with upsampling generator. | [pix2pix_disc_nn_150.pth](https://huggingface.co/yuulind/pix2pix-sar2rgb/resolve/main/pix2pix_disc_nn_150.pth) |
| 9 | pix2pix_disc_nn_300.pth | Discriminator | Pix2Pix discriminator from epoch 300, with upsampling generator. | [pix2pix_disc_nn_300.pth](https://huggingface.co/yuulind/pix2pix-sar2rgb/resolve/main/pix2pix_disc_nn_300.pth) |
-->
### Model Sources
<!-- Provide the basic links for the model. -->
- **Repository:** [GitHub Repo](https://github.com/yuuIind/SAR2Optical)
- **Paper:** [arxiv:1611.07004](https://arxiv.org/abs/1611.07004)
- **Official implementation:** [GitHub Repo](https://github.com/phillipi/pix2pix)
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
Converts SAR images to Optical (RGB) images |