patchGAN
UNet-based GAN model for image segmentation using a patch-wise discriminator. Based on the pix2pix model.
Installation
Install the package with pip:
pip install patchgan
Upgrading existing install:
pip install -U patchgan
Get the current development branch:
pip install -U git+https://github.com/ramanakumars/patchGAN.git
Training
You can train the patchGAN model with a config file and the patchgan_train command:
patchgan_train --config_file train_coco.yaml --n_epochs 100 --batch_size 16
See examples/train_coco.yaml for the corresponding config for the COCO stuff dataset.
1 maintainer
Metadata
1 maintainer
Release files for patchGAN 0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| patchGAN-0.2.tar.gz | 23.4 kB | Without provenance | Details for patchGAN-0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| patchGAN-0.2-py3-none-any.whl | Python 3 | none | any | Details for patchGAN-0.2-py3-none-any.whl |
Total release size: 49.7 kB
Release files / patchGAN-0.2.tar.gz
| Download URL | patchGAN-0.2.tar.gz |
|---|---|
| Size | 23.4 kB |
| Tags | Source |
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Release files / patchGAN-0.2-py3-none-any.whl
| Download URL | patchGAN-0.2-py3-none-any.whl |
|---|---|
| Size | 26.3 kB |
| Tags | Python 3 |
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Security for patchGAN 0.2
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