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Card recognition and organization based on opencv

demo video

This is a set of utilities to recognize and extract card images from a video feed, and then recognize those images against a known database.

Dependencies and Setup

python 2.7, numpy, Flask, SQLAlchemy, Elixir

sudo apt-get install python-dev
sudo pip install -r requirements.txt

OpenCV 2.3.1-7

sudo apt-get install python-opencv

Configure

config.py

db_file="inventory.sqlite3"

cards_file="cards.xml" card listing obtained from GathererDownloader

basic_magic_set_dir="cards/" card images obtained from GathererDownloader

Running

1. Scan

python -m utils.run_scan

Key Function
middle mouse wheel delete scan
space rescan image
r rescan background
escape finish scanning

2. Match

Requires an image set to match against (GathererDownloader Instructions)

python -m utils.run_match

3. Verify

Verification allows you to manually edit any dependencies introduced in the matching process.

python website.py

http://localhost:5000/verify_scans

Scanning Notes

It also helps to have lighting coming from both sides, to reduce the effect of slightly curved cards throwing shadows that alter their rectangular shape in the camera's view.


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