Skip to main content

A waifu2x python tool, use nihui/waifu2x-ncnn-vulkan

Project description

waifu2x-ncnn-vulkan-python

  • This is modified waifu2x-ncnn-vulkan, Export pyd and so files to Python
  • Support Linux, Windows, MacOs
  • Support import JPG, PNG, BMP, GIF, WEBP, Animated WEBP, APNG
  • Support export JPG, PNG, BMP, WEBP, Animated WEBP, APNG
  • Support vulkan gpu and cpu

Install

pip install waifu2x-vulkan

Use

from waifu2x_vulkan import waifu2x_vulkan

# init
sts = waifu2x_vulkan.init()
print("init, code:{}".format(str(sts)))
isCpuModel = False
if sts < 0:
    # cpu model
    isCpuModel = True

gpuList = waifu2x_vulkan.getGpuInfo()
print(gpuList)
sts = waifu2x_vulkan.initSet(gpuId=0)
print("init set, code:{}".format(str(sts)))

# Model List:
#'MODEL_ANIME_STYLE_ART_RGB_NOISE0', 'MODEL_ANIME_STYLE_ART_RGB_NOISE0_TTA', 'MODEL_ANIME_STYLE_ART_RGB_NOISE1', 'MODEL_ANIME_STYLE_ART_RGB_NOISE1_TTA', 'MODEL_ANIME_STYLE_ART_RGB_NOISE2', 'MODEL_ANIME_STYLE_ART_RGB_NOISE2_TTA', 'MODEL_ANIME_STYLE_ART_RGB_NOISE3', 'MODEL_ANIME_STYLE_ART_RGB_NOISE3_TTA', 'MODEL_ANIME_STYLE_ART_RGB_NO_NOISE', 'MODEL_ANIME_STYLE_ART_RGB_NO_NOISE_TTA', 'MODEL_CUNET_NOISE0', 'MODEL_CUNET_NOISE0_TTA', 'MODEL_CUNET_NOISE1', 'MODEL_CUNET_NOISE1_TTA', 'MODEL_CUNET_NOISE2', 'MODEL_CUNET_NOISE2_TTA', 'MODEL_CUNET_NOISE3', 'MODEL_CUNET_NOISE3_TTA', 'MODEL_CUNET_NO_NOISE', 'MODEL_CUNET_NO_NOISE_TTA', 'MODEL_CUNET_NO_SCALE_NOISE0', 'MODEL_CUNET_NO_SCALE_NOISE0_TTA', 'MODEL_CUNET_NO_SCALE_NOISE1', 'MODEL_CUNET_NO_SCALE_NOISE1_TTA', 'MODEL_CUNET_NO_SCALE_NOISE2', 'MODEL_CUNET_NO_SCALE_NOISE2_TTA', 'MODEL_CUNET_NO_SCALE_NOISE3', 'MODEL_CUNET_NO_SCALE_NOISE3_TTA', 'MODEL_CUNET_NO_SCALE_NO_NOISE', 'MODEL_CUNET_NO_SCALE_NO_NOISE_TTA', 'MODEL_PHOTO_NOISE0', 'MODEL_PHOTO_NOISE0_TTA', 'MODEL_PHOTO_NOISE1', 'MODEL_PHOTO_NOISE1_TTA', 'MODEL_PHOTO_NOISE2', 'MODEL_PHOTO_NOISE2_TTA', 'MODEL_PHOTO_NOISE3', 'MODEL_PHOTO_NOISE3_TTA', 'MODEL_PHOTO_NO_NOISE', 'MODEL_PHOTO_NO_NOISE_TTA'

# add picture ...
# waifu2x.add(data=imgData, modelIndex=waifu2x_vulkan.MODEL_ANIME_STYLE_ART_RGB_NOISE0, backId=0, scale=2.5)
# waifu2x.add(data=imgData, modelIndex=waifu2x_vulkan.MODEL_ANIME_STYLE_ART_RGB_NOISE0, backId=0, format="webp", width=1000, high=1000)

# load picture...
# newData, format, backId, tick = waifu2x.load(0)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

waifu2x-vulkan-1.1.4.tar.gz (63.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

waifu2x_vulkan-1.1.4-cp36.cp37.cp38.cp39.cp310-none-win_amd64.whl (35.3 MB view details)

Uploaded CPython 3.10CPython 3.6CPython 3.7CPython 3.8CPython 3.9Windows x86-64

File details

Details for the file waifu2x-vulkan-1.1.4.tar.gz.

File metadata

  • Download URL: waifu2x-vulkan-1.1.4.tar.gz
  • Upload date:
  • Size: 63.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.9

File hashes

Hashes for waifu2x-vulkan-1.1.4.tar.gz
Algorithm Hash digest
SHA256 74d9d1f113c347a8ce376d123753b318cfefe772f38204dc49cfa98b9f0ca106
MD5 c6e9475dcbc65862d43a06fe082ad6ce
BLAKE2b-256 c70f1c9e74fe3b31fc222a152d28e62a67aa297561f31ee6310e4eca7765558c

See more details on using hashes here.

File details

Details for the file waifu2x_vulkan-1.1.4-cp36.cp37.cp38.cp39.cp310-none-win_amd64.whl.

File metadata

  • Download URL: waifu2x_vulkan-1.1.4-cp36.cp37.cp38.cp39.cp310-none-win_amd64.whl
  • Upload date:
  • Size: 35.3 MB
  • Tags: CPython 3.10, CPython 3.6, CPython 3.7, CPython 3.8, CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.9

File hashes

Hashes for waifu2x_vulkan-1.1.4-cp36.cp37.cp38.cp39.cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 38fe27772c5d743d127c4d0146569c455ebc50bde119bb58a5f32205eee95751
MD5 56b0caabeefa633c98eba1d7e11fc917
BLAKE2b-256 32cdcc707fba9913ba9391f645232b3f3497b4a9b9ddc9e827810c6de158e4ed

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page