Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
gui
 
 
 
 
 
 
 
 
 
 

cricket-umpire-assistance

Cricket umpire assistance and ball tracking system that using video from a single smartphone camera.

Instructions

  • Run python object_detector/ballTracking.py with the following arguments:
    • -v/--video (Required): Path to the video file
    • -a/--attack (Optional): Specify bowling attack - 1 for Spin bowling and 0 for Fast
    • -s/--sliding (Optional): Show sliding windows during ball detection
    • -f/--first (Optional): First frame number
  • This will save run the ball tracking algorithm and generate the 3D coordinates of the tracked ball, which will be written to coordinates.txt in the form:
    • x,y,radius,frame_no,is_bouncing_point, linear_reg_radius, quad_reg_y
  • Finally run python object_detector/3d.py which uses the coordinates generated by ballTracking.py to visualize the trajectory and output the umpiring decisions.

GUI

To use the GUI for running the tracking and visualization scripts directly, run python gui/gui.py. The GUI requires the Kivy library to be installed.

(The python_bin paths in gui/gui.py and path to the object_detector and gui directories will have to be updated accoridng to the local machine before running the GUI.)

Video

You can see the frame-by-frame visualization of the tracked ball here: https://www.youtube.com/watch?v=K9MP5UlGBEI

Report

You can find a pre-print (unfinished) version of the report associated with this project here: https://peerj.com/preprints/3402/

Dependencies

  • Ball Tracking
    • OpenCV 3.x
    • Numpy
    • Scipy
  • Visualization
    • VPython
    • Pillow
  • GUI
    • Kivy

About

Cricket umpire assistance and ball tracking system using a single smartphone camera

Topics

Resources

License

Releases

No releases published

Packages

No packages published