imaginairy-normal-map


Nameimaginairy-normal-map JSON
Version 0.0.3 PyPI version JSON
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SummaryImage-to-normal-map
upload_time2023-05-04 06:18:38
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docs_urlNone
authorBryce Drennan
requires_python>=3.7
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requirements No requirements were recorded.
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            # Image-to-Normal-Map
**Create normal maps from images (using AI)**

[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/estimating-and-exploiting-the-aleatoric/surface-normals-estimation-on-nyu-depth-v2-1)](https://paperswithcode.com/sota/surface-normals-estimation-on-nyu-depth-v2-1?p=estimating-and-exploiting-the-aleatoric)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/estimating-and-exploiting-the-aleatoric/surface-normals-estimation-on-scannetv2)](https://paperswithcode.com/sota/surface-normals-estimation-on-scannetv2?p=estimating-and-exploiting-the-aleatoric)

<img src="https://raw.githubusercontent.com/brycedrennan/imaginairy-normal-map/6b3b1692cbdc21d55c84a01e0b7875df030b6d79/tests/oval-office-large.jpg" width=45% ><img src="https://raw.githubusercontent.com/brycedrennan/imaginairy-normal-map/6b3b1692cbdc21d55c84a01e0b7875df030b6d79/tests/oval-office-large-normal.jpg" width=45%>

**Quick Start**
```bash
pip install imaginairy-normal-map
```

```python
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](https://github.com/brycedrennan/imaginAIry).**




**Credit to Gwangbin Bae, Ignas Budvytis, and Roberto Cipolla for creation of 
the [original algorithm and code](https://github.com/baegwangbin/surface_normal_uncertainty).**




<img width=70% src="https://github.com/baegwangbin/surface_normal_uncertainty/blob/main/figs/readme_scannet.png?raw=true">
<img width=100% src="https://github.com/baegwangbin/surface_normal_uncertainty/blob/main/figs/readme_generalize.png?raw=true">

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    "description": "# Image-to-Normal-Map\n**Create normal maps from images (using AI)**\n\n[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/estimating-and-exploiting-the-aleatoric/surface-normals-estimation-on-nyu-depth-v2-1)](https://paperswithcode.com/sota/surface-normals-estimation-on-nyu-depth-v2-1?p=estimating-and-exploiting-the-aleatoric)\n[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/estimating-and-exploiting-the-aleatoric/surface-normals-estimation-on-scannetv2)](https://paperswithcode.com/sota/surface-normals-estimation-on-scannetv2?p=estimating-and-exploiting-the-aleatoric)\n\n<img src=\"https://raw.githubusercontent.com/brycedrennan/imaginairy-normal-map/6b3b1692cbdc21d55c84a01e0b7875df030b6d79/tests/oval-office-large.jpg\" width=45% ><img src=\"https://raw.githubusercontent.com/brycedrennan/imaginairy-normal-map/6b3b1692cbdc21d55c84a01e0b7875df030b6d79/tests/oval-office-large-normal.jpg\" width=45%>\n\n**Quick Start**\n```bash\npip install imaginairy-normal-map\n```\n\n```python\nfrom PIL import Image\nfrom imaginairy_normal_map.model import create_normal_map_pil_img\n\nimg = Image.open(\"oval-office-large.jpg\")\nnormal_img = create_normal_map_pil_img(img)\nnormal_img.save(\"oval-office-large-normal.jpg\")\n```\n\n\n**This project was made to support the AI image generation project, [imaginAIry](https://github.com/brycedrennan/imaginAIry).**\n\n\n\n\n**Credit to Gwangbin Bae, Ignas Budvytis, and Roberto Cipolla for creation of \nthe [original algorithm and code](https://github.com/baegwangbin/surface_normal_uncertainty).**\n\n\n\n\n<img width=70% src=\"https://github.com/baegwangbin/surface_normal_uncertainty/blob/main/figs/readme_scannet.png?raw=true\">\n<img width=100% src=\"https://github.com/baegwangbin/surface_normal_uncertainty/blob/main/figs/readme_generalize.png?raw=true\">\n\n\n",
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Bryce Drennan
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