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Save image properties to CSV using Python

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  • Difficulty Level : Expert
  • Last Updated : 13 Oct, 2021
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In this article, we are going to write python scripts to find the height, width, no. of channels in a given image file and save it into CSV format. Below is the implementation for the same using Python3. The prerequisite of this topic is that you have already installed NumPy and OpenCV.


  • First, we will load the required libraries into the python file ( NumPy, OpenCV, etc.).
  • Create an empty CSV file with the column name only if there is no existing CSV file( Height, Width, Channels, colors, etc.). If the file data.csv does not exist then a new file will be created by the else statement.
  • Now we will use argparse() function to get the directory path of the images from the user in the command line.
  • Find the color properties using CV2. 
  • We will be using image.shape function to find out the Height, Width, Channels of the image.
  • Then we will calculate the average red, average blue, average green of the image
  • Then we will write the outputs to the csv file using writerow() function.

Below is the implementation:


# Required Libraries
from os import listdir
from os.path import isfile, join
from pathlib import Path
import numpy
import cv2
import argparse
import numpy
import csv
# Check whether the CSV 
# exists or not if not then create one.
my_file = Path("csv/details.csv")
if my_file.is_file():
    f = open(my_file, "w+")
    with open('csv/details.csv', 'a', newline='') as file:
        writer = csv.writer(file)
        writer.writerow(["S.No.", "Name", "Height",
                         "Width", "Channels",
                         "Avg Blue", "Avg Red",
                         "Avg Green"])
    with open('csv/details.csv', 'w', newline = '') as file:
        writer = csv.writer(file)
        writer.writerow(["S.No.", "Name", "Height",
                         "Width", "Channels",
                         "Avg Blue", "Avg Red",
                         "Avg Green"])
# Argparse function to get
# the path of the image directory
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image"
                required = True
                help = "Path to folder")
args = vars(ap.parse_args())
# Program to find the
# colors and embed in the CSV
mypath = args["image"]
onlyfiles = [ f for f in listdir(mypath) if isfile(join(mypath,f)) ]
images = numpy.empty(len(onlyfiles), dtype = object)
for n in range(0, len(onlyfiles)):
    path = join(mypath,onlyfiles[n])
    images[n] = cv2.imread(join(mypath,onlyfiles[n]),
    img = cv2.imread(path)
    h,w,c = img.shape
    print(h, w, c)
    avg_color_per_row = numpy.average(img, axis = 0)
    avg_color = numpy.average(avg_color_per_row, axis = 0)
    with open('csv/details.csv', 'a', newline = '') as file:
        writer = csv.writer(file)
        writer.writerow([n+1, onlyfiles[n], h, w, c, 
                         avg_color[0], avg_color[1],



  • Save this code-named
  • Shift(Key) + Right Click and Click open PowerShell window here.
python3 --image /path/to/images/folder/:

CSV file output:

Generated Csv File

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