/burProject

Object detection in a cluttered environment. Finding the issues with the detected object with respect to the object used for detection

Primary LanguagePython

Object detection and finding difference

Getting Started

Clone this repository and download all files

Prerequisites

Anaconda3-4.4.0-Windows-x86_64, bzip2=1.0.6=vc14_3, cycler=0.10.0=py35_0, freetype=2.5.5=vc14_2, icu=57.1=vc14_0, jpeg=9b=vc14_0, libpng=1.6.27=vc14_0, libtiff=4.0.6=vc14_3, matplotlib=2.0.2=np113py35_0, mkl=2017.0.3=0, numpy=1.13.1=py35_0, olefile=0.44=py35_0, openssl=1.0.2l=vc14_0, pillow=4.2.1=py35_0, pip=9.0.1=py35_1, pyparsing=2.1.4=py35_0, pyqt=5.6.0=py35_2, python=3.5.3=3, python-dateutil=2.6.0=py35_0, pytz=2017.2=py35_0, qt=5.6.2=vc14_5, scikit-learn=0.18.2=np113py35_0, scipy=0.19.1=np113py35_0, setuptools=27.2.0=py35_1, sip=4.18=py35_0, six=1.10.0=py35_0, tk=8.5.18=vc14_0, vs2015_runtime=14.0.25420=0, wheel=0.29.0=py35_0, zlib=1.2.8=vc14_3, opencv3=3.1.0=py35_0,

One step solution

###Windows

Download Anaconda3-4.4.0-Windows-x86_64 and install it:

Create environment:
>conda env create -f py35_opencv_with_contrib_WIN.yml

to use environment:
>activate py35
>deactivate py35

###Linux 

Installing Anaconda
Link: https://www.digitalocean.com/community/tutorials/
how-to-install-the-anaconda-python-distribution-on-ubuntu-16-04

Create environment:
>conda env create -f py35_opencv_with_contrib_LINUX.yml

to use environment:
>source activate py35
>source deactivate py35

Running the tests

Examples:  

>python main.py -h  

ROI Detection Evaluation

positional arguments:
  QRY                   Query Image
  REF                   Reference Image
  Q_REF                 Reference of Query Image
  N_QRY                 Name of Query Image

optional arguments:
  -h, --help            show this help message and exit
  --algo ALGO, -a ALGO  algorithms : SIFT_Rect | find_defect (default:
                        find_defect)
  --thresh T, -t T      Threshold between 0.45 and 0.8 (default : 0.70)
  --view                View result

python main.py <REF_path> <QRY_path> <Q_REF_path> <name_of_query_image>

Ex 1: python main.py ../data/1010a.jpg ../data/6004.jpg ../data/6000.jpg 6004

Ex 2: python main.py ../data/bura_dig.jpg ../data/bura_disturb.jpg ../data/
bura_good.jpg bura_disturb  -a diff_approach

Work Flow Diagram [Find_defects]

work_flow