seam-erasure 1.0.5

Description:

seamerasure 1.0.5

Seam Erasure









Seamlessly erase seams from your favorite 3D models.

Textures seams often produce errors when bi-linearly interpolated. This
results in a visible seam line or other undesired artifacts. The goal of this
project is to devise a numerical solution to this problem by minimizing the
difference between interpolated values of edge pairs. Works for various texture
maps regardless of useage (e.g. color maps, normal maps, displacement maps,
ambient occlusion, geometry images, and skinning weight textures).
Read more:

Research Project Page
Paper
Video
Seam Aware Decimation Code

Installation
To install Seam Erasure use the following command in your terminal:
pip install seam-erasure

This is the preferred method to install Seam Erasure.
If you perfer to use Seam Erasure without installing it, you can clone the repo:
git clone https://github.com/zfergus/seam-erasure.git

Dependencies
If you install Seam Erasure using pip all dependencies will be installed. If you choose to use Seam Erasure without installing, you can install all required dependencies using pip install -r requirements.txt.
Dependencies include:

numpy: linear algebra
scipy: sparse matrix operations
pillow: saving/loading texture image files
recordclass: simple data objects
tqdm: fancy progressbars

Usage
If you install using pip a seam-erasure tool will be installed. You can use Seam Erase from the command line using the following command:
seam-erasure path/to/input_model path/to/input_texture [-h] [-o path/to/output_texture] [-g] [--sv {none,texture,lerp}] [-d]

Positional arguments:

path/to/input_model: Path to input mesh file.
path/to/input_texture: Path to input texture image or directory to load all textures from.

Optional arguments:

-o path/to/output_texture, --output path/to/output_texture: Name of output texture or directory to save batch textures.
-g, --global: Should the minimization have global effects? (default: False)

This should be used if the texture has global discontinuities. This will propagate changes from the seam inward (see the teaser image for a example of global discontinties).


--sv {none,texture,lerp}: What method should be used to compute the seam value
energy? (default: none)

none: do not use a seam value term
texture: use difference in original texture
lerp: use linearly interpolated values along the edge

Values are provided at the vertices in the .obj as additional entries after the xyz triplet (e.g. v <x> <y> <z> [<r>] [<g>] [<b>] [<a>] ... where the additional channels are optional and must match the number of channels in the texture image).




-d, --data: Should the input texture(s) be loaded as a .data files? (default: False)

Note: if you did not install the code replace seam-erasure in the above command with python main.py.
Files

seam_erasure/: Python package for Seam-Erasure
main.py: Command-line interface for seam erasure.
server.py: Flask based Python code for handling web inputs.
examples/: examples 3D model and texture files for testing
static/: Static web page content including style sheets
templates/: HTML template pages

Web Browser UI
This repository also includes a Flask based server implementation that can be
run locally. This provides a simple webpage interface to provide model/texture
input and select options. To get this user interface run:
python server.py

This will start a server on the localhost. Navigate to the outputted address
in your choice of web browser to view the interface.
Examples
Diffuse Textures



Before
After

















Normal Maps



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Ambient Occlusion



Before
After









Geometry Images



Before
After

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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