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process.py
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process.py
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# from the obj folder located in darket directory this code takes the image and make two text file which contains train and test file for YOLO
import glob, os
# Current directory
current_dir = os.path.dirname(os.path.abspath(__file__))
print(current_dir)
current_dir = '/home/atif/darknet/data/obj/'
# Directory where the data will reside, relative to 'darknet.exe'
#path_data = './NFPAdataset/'
# Percentage of images to be used for the test set
percentage_test = 10;
# Create and/or truncate train.txt and test.txt
file_train = open('train.txt', 'w')
file_test = open('test.txt', 'w')
# Populate train.txt and test.txt
counter = 1
index_test = round(100 / percentage_test)
for pathAndFilename in glob.iglob(os.path.join(current_dir, "*.png")):
title, ext = os.path.splitext(os.path.basename(pathAndFilename))
if counter == index_test:
counter = 1
file_test.write(current_dir + "/" + title + '.png' + "\n")
else:
file_train.write(current_dir + "/" + title + '.png' + "\n")
counter = counter + 1