This is a project intended to create a new GAN Network for Image Generation. FasGAN is based on Fas14MNet network and DCGAN architecture using Vanilla gradient loss.
Steps to run:
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from fasgan.generator import Generator
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from fasgan.discriminator import Discriminator
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netG = Generator()
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netD = Discriminator()
1 maintainer
Metadata
1 maintainer
Release files for FasGAN 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| FasGAN-0.1.0.tar.gz | 3.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| FasGAN-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.7 kB
Release files / FasGAN-0.1.0.tar.gz
| Download URL | FasGAN-0.1.0.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
667e10171d6ea64efdf0026f482906d1b285145802339cf4ace86589dbe2fcff
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BLAKE2b-256 checksum How to use checksums |
18448ab6cd5f98e1ad7462ed4fefd520326b369f9614656daab04c03802a19af
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10
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Release files / FasGAN-0.1.0-py3-none-any.whl
| Download URL | FasGAN-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
42fe05a70534e0dcddd367b545884ee07ca7a45850351bb6780d61e62a81bf02
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BLAKE2b-256 checksum How to use checksums |
300bbed13edf1ab4ac4f4447bbcea62f28dcf4eac19a409bb6b785f28706b8b4
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10
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