bauerflorian13/imageprocessing

Repository for the coursework in Image Processing and Computer Vision on the University of Bristol in 2018.

ImageProcessing

Repository for the coursework in Image Processing and Computer Vision on the University of Bristol in 2018.

Prerequisite

• you need a working installation of OpenCV
• make should be installed

Getting started

• cd in the main directory of this project and use make command to build and train model and compile all c++ sources:

make 

• the input images should be in the folder input_images.
• to run the dartboard detector for image input_images/dart1.jpg just type:

./dartboard dart1.jpg

• the images with the houghspace and the thresholded gradient magnitude can be found in the work_dir directory

Note: Do not use input_images/dart1.jpg as argument as the program looks automaticaly per default only in the input_images directory. The output will be in the output_images directory and in this example it will be named as detected_dart1.jpg.

Run dartboard detector on all input images

For convenience their is a bash script run.sh in the main directory as well. This will run the dartboard detector for all input files in the input_images directory and output the result images in the output_images directory.

Github repository

There is also a Github repository which contains all needed files. We used it to work on the detector. If you prefer it you can download or clone it from https://github.com/darkcookie298/ImageProcessing. Note: It was not published before the deadline for this project at Monday Dec 3rd at 17:59.