Skip to main content

Image-to-normal-map

Project description

Image-to-Normal-Map

Create normal maps from images (using AI)

PWC PWC

Quick Start

pip install imaginairy-normal-map
from PIL import Image
from imaginairy_normal_map.model import create_normal_map_pil_img

img = Image.open("oval-office-large.jpg")
normal_img = create_normal_map_pil_img(img)
normal_img.save("oval-office-large-normal.jpg")

This project was made to support the AI image generation project, imaginAIry.

Credit to Gwangbin Bae, Ignas Budvytis, and Roberto Cipolla for creation of the original algorithm and code.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

imaginairy_normal_map-0.0.3-py3-none-any.whl (7.2 kB view details)

Uploaded Python 3

File details

Details for the file imaginairy_normal_map-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for imaginairy_normal_map-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 59663273e77e481bc5bfe53197a0f382e5e4f9e348ff9f1ab1df6d91dc500023
MD5 02749a294ca1d34680fe4ce4f8441821
BLAKE2b-256 7d4236c07efe1296b3f276a25bd34d26565c62b6524b023daddad03131b47953

See more details on using hashes here.

Supported by

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