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OpenCV
docs.opencv.org โ€บ 4.x โ€บ d2 โ€บ d96 โ€บ tutorial_py_table_of_contents_imgproc.html
OpenCV: Image Processing in OpenCV
OpenCV-Python Tutorials ยท Image Processing in OpenCV ยท Changing Colorspaces ยท Learn to change images between different color spaces. Plus learn to track a colored object in a video. Geometric Transformations of Images ยท Learn to apply different geometric transformations to images like rotation, ...
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Medium
bhavikjikadara.medium.com โ€บ image-processing-using-opencv-a-step-by-step-guide-e589b0acbbf3
Image Processing with OpenCV in Python | Medium
September 6, 2024 - Learn essential image processing techniques in Python using OpenCV, from resizing and color conversions to edge detection and contouring.
Discussions

Opencv image Processing using python - Stack Overflow
I am working on a project of image processing where I am trying to capture a real-time image from my webcam and save it in a specified destination folder. I am doing fine with my job when I am exec... More on stackoverflow.com
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Python Image Processing With OpenCV

OpenCV is awesome, but installing it on my Mac has had me banging my head against the wall so many times. If anybody has a simple method I'd love a link to it.

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๐ŸŒ r/Python
10
61
October 5, 2016
How do I learn image processing/analysis in Python?
I haven't read it yet, but there is a book about computer vision in Python that you can read free online: Programming Computer Vision More on reddit.com
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24
29
January 17, 2014
image processing/analysis in Python
I'm not an expert here. I'm actually commenting because I'm also interested. However you can copy paste your whole question into chatGPT and have an answer in less than 5 seconds. More on reddit.com
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7
2
May 14, 2023
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OpenCV
docs.opencv.org โ€บ 4.x โ€บ d6 โ€บ d00 โ€บ tutorial_py_root.html
OpenCV: OpenCV-Python Tutorials
Learn how to setup OpenCV-Python on your computer! ... Here you will learn how to display and save images and videos, control mouse events and create trackbar. ... In this section you will learn basic operations on image like pixel editing, geometric transformations, code optimization, some mathematical tools etc. ... In this section you will learn different image processing functions inside OpenCV.
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GeeksforGeeks
geeksforgeeks.org โ€บ python โ€บ opencv-python-tutorial
OpenCV Tutorial in Python - GeeksforGeeks
It allows us to process images and videos, detect objects, faces and even handwriting. This tutorial will guide us through image and video processing from the basics to advanced topics using Python ...
Published ย  July 12, 2025
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Analytics Vidhya
analyticsvidhya.com โ€บ home โ€บ image processing with opencv and python
Image Processing With OpenCV and Python
January 30, 2025 - This article was published as a part of the Data Science Blogathon. ... OpenCV, a widely utilized pre-built open-source CPU-only library, plays a crucial role in computer vision, machine learning, and image processing applications.
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ProjectPro
projectpro.io โ€บ blog โ€บ guide to opencv and python-dynamic duo of image processing
Guide to OpenCV and Python-Dynamic Duo of Image Processing
October 28, 2024 - Knowledge of Numpy is mandatory to write optimized code in OpenCV Python. To use OpenCV in Python, you should import the cv library in your Python environment, and then you're good to go.
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Medium
medium.com โ€บ @nimritakoul01 โ€บ image-processing-using-opencv-python-9c9b83f4b1ca
Image Processing using OpenCV โ€” Python | by Dr. Nimrita Koul | Medium
December 20, 2023 - YCrCb: This color space represents an image using its luminance (Y) and two chrominance channels (Cr and Cb). YCrCb is commonly used in video compression and processing. Grayscale: Grayscale is a single-channel color space where pixel values represent the intensity of light. OpenCV allows you to convert images from one color space to another using functions like cv2.cvtColor().
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Roboflow
blog.roboflow.com โ€บ image-processing-with-opencv
Image Processing with OpenCV: 7 Helpful Techniques
November 11, 2025 - Learn key image-processing techniques with OpenCV. Basic to advanced. Resizing, edge detection, contour finding, morphological operations, more.
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PyImageSearch
pyimagesearch.com โ€บ home โ€บ image processing
Image Processing Archives - PyImageSearch
In this tutorial, you will learn about applying morphological operations with OpenCV. The morphological operations weโ€™ll be covering include: Erosion Dilation Opening Closing Morphological gradient Black hat Top hat (also called โ€œWhite hatโ€) These image processing operations are applied toโ€ฆ
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Medium
medium.com โ€บ @saairaamprasad โ€บ opencv-in-python-image-processing-96552f0fff29
OpenCV in Python: Image Processing Part 1/10 | by Saairaamprasad | Medium
October 2, 2024 - So thatโ€™s the basic gist of OpenCV and image processing in Python. You now know how to load, display, resize, convert, and save images, which is a solid foundation.
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RC Learning Portal
learning.rc.virginia.edu โ€บ courses โ€บ opencv
Scientific Image Processing with Python OpenCV | RC Learning Portal
October 27, 2022 - An introduction to scientific image processing with the Python OpenCV package. Topics include splitting and merging of color channels, morphological filters, image thresholding and segmentation.
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OpenCV
opencv.org โ€บ home โ€บ news โ€บ read, display and write an image using opencv
Read, Display and Write an Image using OpenCV
March 28, 2025 - We will also analyze their syntax in both Python and C++, ensuring that readers can implement them effectively across different programming environments. Whether you are a beginner exploring image processing for the first time or an experienced developer working with OpenCV, mastering these ...
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Medium
medium.com โ€บ @AlexanderObregon โ€บ how-to-process-images-with-python-using-opencv-6894010d78e4
How to Process Images with Python Using OpenCV
May 7, 2024 - Explore basic to advanced image processing using Python and OpenCV. Learn from image manipulation to face recognition techniques.
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Medium
muhammaddawoodaslam.medium.com โ€บ image-processing-with-python-and-opencv-7f3db963b50a
Image Processing with Python and OpenCV | Medium
December 22, 2023 - This code demonstrates a simple image resizing process using OpenCV, providing a glimpse into the world of image manipulation in Python.
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Analytics Vidhya
analyticsvidhya.com โ€บ home โ€บ image processing using opencv โ€“ with practical examples
OpenCV Image Processing | Image Processing Using OpenCV
July 1, 2021 - It is one of the most important and fundamental techniques in image processing, Cropping is used to get a particular part of an image. To crop an image. You just need the coordinates from an image according to your area of interest. For a complete analysis, check the below code in OpenCV.
Top answer
1 of 2
1

Your real question has nothing to do with opencv or image processing. You are just trying to avoid overwriting of existing file

From your code, what I would to, is avoid using img_counter that already exist (unless you do something specific to remember the previous value of img_counter, the method is to avoid overwriting existing files).

For example, you could

while True:
   img_names = "opencv_frame_{}.png".format(img_counter)
   if os.file.exists(img_names):
      img_counter+=1
   else:
      break

to create the img_names. Increasing img_counter and trying again if it already exists (some dislike the while True / break style, but, well, I use it often)

A drawback of this method is that it fills potential "holes" in your file list (if your drive contains frames 0 to 10000 and then 10002 to 100000, then a new run would write file 10001 then 100001, 100002, ... Which is probably not wanted. Plus, it means that in the middle of grabbing, you find your self iterating 90000 files names to find the next "hole")

So you might also save a file to recall the img_counter from one run to another Using

with open('img_counter.txt', 'w') as f:
   f.write(f"{img_counter}")

to save the img_counter at the end of your code and

with open('img_counter.txt') as f:
   img_counter=int(f.read())

to recall it at the begining.

But then, you need to be sure that the "write" part is executed every time. It will not be the case if the program end abruptly (extreme example: power goes down)

Edit after reda's solution:

Indeed, you never said that you just want all names to be strictly of the form opencv_frame_number.png

So, you could also simply either replace frame number by a timestamp as reda suggested. Or, intermediary solution, use timestamp as a prefix, and then frame_number within

At the beginning of your code, you could compute a prefix

prefix=time.time()

And then, your img_names could be

img_names = f"opencv_frame_{prefix}_{img_counter}.png"

(I replaced your .format(...) by a f-string for no really valid reason. Just, I have the feeling that lot of people are not aware that f-string exists, are easier to use, and faster. But here, all that is negligible before the time needed to save an image anyway)

2 of 2
1

The first argument img_names of cv2.imwrite is the filename where the image is stored. When you don't cchange it when you lunnch the program the second time, it is natural that the first image will be overwritten. I advise you to use a dynamic name there like time.time()

from tkinter import image_names
import cv2
import os 
import matplotlib.pyplot as plt
import time

cap = cv2.VideoCapture(0)
img_counter = 0
for i in range(0, 2):
if cap.isOpened():
    ret, frame = cap.read()
    print(ret)
    print(frame)
else:
    ret = False

img1 = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
plt.imshow(img1)
plt.title("Camera image 1")
img_names = "opencv_frame_{}.png".format(time.time())
cv2.imwrite(img_names, frame)
print("Screenshot taken")
img_counter += 1

plt.xticks([])
plt.yticks([])
plt.show()
cap.release()
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OpenCV
docs.opencv.org โ€บ 3.4 โ€บ d3 โ€บ df2 โ€บ tutorial_py_basic_ops.html
OpenCV: Basic Operations on Images
*( Examples will be shown in a Python terminal, since most of them are just single lines of code )* ... You can access a pixel value by its row and column coordinates. For BGR image, it returns an array of Blue, Green, Red values.
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Built In
builtin.com โ€บ software-engineering-perspectives โ€บ image-processing-python
Python Image Processing: A Tutorial | Built In
... Summary: Python image processing is made accessible with OpenCV, a C++-based library with Python bindings. Using just a few lines of code, developers can convert images to grayscale, apply Gaussian blur and detect edges with the Canny method.
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Python Programming
pythonprogramming.net โ€บ loading-images-python-opencv-tutorial
OpenCV with Python Intro and loading Images tutorial
Welcome to a tutorial series, covering OpenCV, which is an image and video processing library with bindings in C++, C, Python, and Java.