/crop-images

Cropping images using trained darknet model

Primary LanguagePython

Crop Images

Cropping images using trained darknet model

Usage:

  • Extract detected objects information

    • class names, confidence and bbox coordinates
    • Extract the information by running the command

./darknet detector test custom.data custom.cfg custom.weights -thresh 0.4 -dont_show -ext_output < val.txt > result-dr.txt

  • Copy the file

    • Copy the file result-dr.txt to the working directory

  • Copy the image files

    • Copy the image files to the folder val-images/

  • Remove lines from the text file containing specific words

    • Remove Enter by typing grep -vE "(Enter)" result-dr.txt > result4.txt
    • Remove Detection by typing grep -vE "(Detection)" result4.txt > result.txt

  • Run the code

    • python parsing.py