Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/Mazecreator/TensorFlow-SIRDS
Single Image Random Dot Stereogram for Tensorflow
https://github.com/Mazecreator/TensorFlow-SIRDS
3d-reconstruction jupyter-notebook python stereogram-creator stereogram-generator tensorflow
Last synced: 11 days ago
JSON representation
Single Image Random Dot Stereogram for Tensorflow
- Host: GitHub
- URL: https://github.com/Mazecreator/TensorFlow-SIRDS
- Owner: Mazecreator
- License: apache-2.0
- Created: 2017-03-12T23:58:36.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2020-10-25T02:23:00.000Z (about 4 years ago)
- Last Synced: 2024-08-01T08:11:17.049Z (3 months ago)
- Topics: 3d-reconstruction, jupyter-notebook, python, stereogram-creator, stereogram-generator, tensorflow
- Language: Jupyter Notebook
- Size: 4 MB
- Stars: 6
- Watchers: 4
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-tensorflow - Single Image Random Dot Stereograms - SIRDS is a means to present 3D data in a 2D image. It allows for scientific data display of a waterfall type plot with no hidden lines due to perspective. (Tutorials)
- Awesome-TensorFlow-Chinese - Single Image Random Dot Stereograms - SIRDS is a means to present 3D data in a 2D image. It allows for scientific data display of a waterfall type plot with no hidden lines due to perspective. (教程 / 微信群)
- awesome-tensorflow - Single Image Random Dot Stereograms - SIRDS is a means to present 3D data in a 2D image. It allows for scientific data display of a waterfall type plot with no hidden lines due to perspective. (Tutorials)
- fucking-awesome-tensorflow - Single Image Random Dot Stereograms - SIRDS is a means to present 3D data in a 2D image. It allows for scientific data display of a waterfall type plot with no hidden lines due to perspective. (Tutorials)
README
# TensorFlow-SIRDS
Single Image Random Dot Stereogram for TensorflowSIRDS is a means to present 3D data in a 2D image. It allows
for scientific data display of a waterfall type of plot
with no hidden lines due to perspective. Data is encoded to show
data in the Z direction as depth.This project is based upon:
https://www.cs.waikato.ac.nz/~ihw/papers/94-HWT-SI-IHW-SIRDS-paper.pdf## Sections
- [SIRDS usage demo for TensorFlow Op](./single_image_random_dot_stereograms/SIRDS%20Demo.ipynb)