KO
|
EN
gitlite โ search
Search
#python
#java
#python3
#arduino
#golang
#machine-learning
#rust
#html
#flask
#javascript
#seismology
#nodejs
AugPy
โ 11
Open GitHub โ
A Python based Augmented Reality library
Download README (.md)
Explore Similar Repositories
NotesOfMVP
:
๐ๆ่ฑไบๆฐๅคฉๆถ้ด๏ผๅฐๆๅฏน MVP ็็่งฃ๏ผๆป็ปๆ่ฟ็ฏๅ ณไบMVP็ๅญฆไน ็ฌ่ฎฐ๏ผๆนไพฟๅคงๅฎถๅญฆไน ๏ผๅๆถไนๅธๆๅพๅฐๅคงๅฎถ็ star๏ฝ
DeepFlatCam
:
Deep Compressive Sensing for Visual Privacy Protection in FlatCam Imaging, ICCV Workshop 2019
examples
:
examples for jupyterlab porjects
docker-compose-Spring-Boot-MySQL
:
A simple Spring Boot application using MySQL database configured using Docker
AndroidImageCropper-Example
:
Android image cropping example with a great 3rd party library
// repository documentation
Was this content helpful?
โ 0
(0 ratings)
Select Rating:
โ
โ
โ
โ
โ
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
AugPy
?
Download (.md)
# AugPy A Python based Augmented Reality library Based on the initial repo by [Juan Gallostra](https://github.com/juangallostra/augmented-reality). ## Talk at PyCon India 2019 The below link is for an introductory talk I've given on this at PyCon India, 2019. [Link to slides](https://docs.google.com/presentation/d/1nwUh1XZpSFy3vhp3yi5-KoIfkFSB_RJEj-2ffcVXDMk) [Video](https://www.youtube.com/watch?v=pLRk3ya38Y8) ## Main Requirements * Python 3.x * OpenCV 4.x * numpy ## Usage * Place the image of the surface to be tracked inside the `reference` folder. * On line 36 of `src/ar_main.py` replace `'model.jpg'` with the name of the image you just copied inside the `reference` folder. * On line 40 of `src/ar_main.py` replace `'fox.obj'` with the name of the model you want to render. To change the size of the rendered model change the scale parameter (number `3`) in line 103 of `src/ar_main.py` by a suitable number. This might require some trial and error. * Open a terminal session inside the project folder and run `python src/ar_main.py` ### Command line arguments * `--rectangle`, `-r`: Draws the projection of the reference surface on the video frame as a blue rectangle. * `--matches`, `-m`: Draws matches between reference surface and video frame. ## Troubleshooting **If you get the message**: ``` Unable to capture video ``` printed to your terminal, the most likely cause is that your OpenCV installation has been compiled without FFMPEG support. Pre-built OpenCV packages such as the ones downloaded via pip are not compiled with FFMPEG support, which means that you have to build it manually. ## Explanation See these excellent blog entries for an in-depth explanation of the logic behind the code: * [Part 1](https://bitesofcode.wordpress.com/2017/09/12/augmented-reality-with-python-and-opencv-part-1/) * [Part 2](https://bitesofcode.wordpress.com/2018/09/16/augmented-reality-with-python-and-opencv-part-2/)
