{"id":3549,"date":"2022-01-31T05:50:05","date_gmt":"2022-01-31T00:20:05","guid":{"rendered":"http:\/\/myprojectideas.com\/?p=3549"},"modified":"2025-11-03T11:32:58","modified_gmt":"2025-11-03T11:32:58","slug":"blur-a-video-using-opencv-in-python","status":"publish","type":"post","link":"https:\/\/rudelabs.ai\/blogs\/blur-a-video-using-opencv-in-python\/","title":{"rendered":"Blur A Video Using OpenCV In Python | Python Project"},"content":{"rendered":"<h2><strong>Introduction of the Project<\/strong><\/h2>\n<p>Today, we will learn to blur a video using OpenCV in Python. OpenCV is a library used to perform computer vision tasks. So, here is our python code that will help us to blur a video.<\/p>\n<p>So, what are you waiting for? Let\u2019s begin!<\/p>\n<iframe loading=\"lazy\"  id=\"_ytid_21202\"  width=\"1080\" height=\"607\"  data-origwidth=\"1080\" data-origheight=\"607\" src=\"https:\/\/www.youtube.com\/embed\/2HKPtrflO_E?enablejsapi=1&autoplay=0&cc_load_policy=0&cc_lang_pref=&iv_load_policy=1&loop=0&rel=1&fs=1&playsinline=0&autohide=2&theme=dark&color=red&controls=1&\" class=\"__youtube_prefs__  no-lazyload\" title=\"YouTube player\"  allow=\"fullscreen; accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen data-no-lazy=\"1\" data-skipgform_ajax_framebjll=\"\"><\/iframe>\n<p>&nbsp;<\/p>\n<h2><a id=\"post-3549-_heading=h.3znysh7\"><\/a><strong>Requirements<\/strong><\/h2>\n<p>1. All you need is a Python 3.9 interpreter and IDLE (online or system <span style=\"font-weight: 400;\">configured)<\/span><\/p>\n<p><b><i>NOTE: A certain file needs to be preinstalled for the code\u2019s smooth running, due to which IDLE or IDE is a higher preferred choice.<\/i><\/b><\/p>\n<p><span style=\"font-weight: 400;\">2. OpenCV and Numpy modules must be preinstalled on your PC.<\/span><\/p>\n<p>3. A demo video for it to process the given commands through code (here blurring a video).<\/p>\n<h2><a id=\"post-3549-_heading=h.2et92p0\"><\/a><strong>Steps To Blur A Video Using OpenCV In Python<\/strong><\/h2>\n<p><strong>Step 1: <\/strong>Install OpenCV and NumPy if you don&#8217;t have them in your system.<\/p>\n<p>Paste the below line of command in your command prompt and press enter.<\/p>\n<p>pip install opencv-python<\/p>\n<p>pip install numpy<\/p>\n<p><strong>Step 2: <\/strong>Paste the below code in your IDE\/ Code Editor like VSCode<\/p>\n<h2><a id=\"post-3549-_heading=h.lllpmupbzj5m\"><\/a><strong>Source Code<\/strong><\/h2>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Import cv2 and numpy modules\r\n\r\nimport cv2\r\n\r\nimport numpy as np\r\n\r\n# Here we are creating an object to capture our video\r\n\r\n# Change the video path according to your video path and its name\r\n\r\ncapt = cv2.VideoCapture('videos\/InputVideo.mp4')\r\n\r\n# Message, to be displayed in case of an error while opening the video\r\n\r\nif (capt.isOpened() == False):\r\n\r\nprint('An Error occurred while opening! Kindly check again.')\r\n\r\n# To get the frame's width and height\r\n\r\nframe_width = int(capt.get(3))\r\n\r\nframe_height = int(capt.get(4))\r\n\r\n# Here, we are defining object to write the video and its location\r\n\r\nresult = cv2.VideoWriter('videos\/BlurredVideo.avi', cv2.VideoWriter_fourcc('M','J','P','G'), 30, (frame_width, frame_height))\r\n\r\n# Using a loop, we are reading the video, until end of the it\r\n\r\nwhile(capt.isOpened()):\r\n\r\n\r\n\r\n\r\n# We are capturing each frame of the video\r\n\r\nret, frame = capt.read()\r\n\r\nif ret == True:\r\n\r\n\r\n\r\n\r\n# Here, we are performing our main task of blurring by adding gaussian blurring to the frame\r\n\r\nframe = cv2.GaussianBlur(frame, (5, 5), 0)\r\n\r\n# Here, we are saving the video frame\r\n\r\nresult.write(frame)\r\n\r\n# Here, we are displaying the frame\r\n\r\ncv2.imshow('Video', frame)\r\n\r\n# To exit the screen using the keyboard, press 'e' to exit\r\n\r\nif cv2.waitKey(27) &amp; 0xFF == ord('e'):\r\n\r\nbreak\r\n\r\n# If no frame is found, end the loop\r\n\r\nelse:\r\n\r\nbreak\r\n\r\n# Using, this, we are releasing the video\r\n\r\ncapt.release()\r\n\r\n# Atlast, close all the GUI windows\r\n\r\ncv2.destroyAllWindows()<\/pre>\n<h2><a id=\"post-3549-_heading=h.tyjcwt\"><\/a><strong>Output<\/strong><\/h2>\n<p>This is the screenshot of the input video which we have used to blur for our demo.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-18438 size-full\" src=\"https:\/\/rudelabs.ai\/blogs\/wp-content\/uploads\/2022\/01\/word-image.webp\" alt=\"Blur A Video Using OpenCV In Python\" width=\"1366\" height=\"768\" \/><\/p>\n<p>And here is the screenshot of the video after it has been blurred using our code.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-18439 size-full\" src=\"https:\/\/rudelabs.ai\/blogs\/wp-content\/uploads\/2022\/01\/word-image-1.webp\" alt=\"Blur A Video Using OpenCV In Python\" width=\"1366\" height=\"768\" \/><\/p>\n<h2><strong>Explanation Of The Code<\/strong><\/h2>\n<p>In the beginning, we imported cv2 and NumPy modules.<\/p>\n<p>1. Firstly, we have created an object to capture our input video. And also, given a condition that if the video is not opening due to some error or the file is not a video file, then an error message will be displayed.<\/p>\n<p>2. Now, we are getting the frame&#8217;s width and height. The blurred video needs to be stored somewhere as the final output, so we have defined an object and location where the output as a blurred video will be stored.<\/p>\n<p>3. Then, using a loop, we are reading the video until the end of it, capturing each frame of the video &amp; performing our main task of blurring by adding gaussian blurring to the frame, and saving the video frame and displaying it simultaneously.<\/p>\n<p>4. To end the process, we have implemented one more functionality; that is, by pressing \u2019E\u2019 we will be able to quit the process. At last, we are closing all the GUI windows.<\/p>\n<h2><\/h2>\n<h2><a id=\"post-3549-_heading=h.3dy6vkm\"><\/a><strong>Things to Remember<\/strong><\/h2>\n<ul>\n<li>Python is case sensitive language; hence, don\u2019t change the cases unnecessarily.<\/li>\n<li>Import both the above-required modules using a command prompt to avoid errors before using the code.<\/li>\n<li>Set the path of the video with its name before proceeding with the above-given code(Blur A Video Using OpenCV<strong>)<\/strong> in your system.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>In this project, we will learn how to blur a video using OpenCV in\u00a0Python\u00a0with a smaller piece of code. Let us understand how the code works<\/p>\n","protected":false},"author":1,"featured_media":8176,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[7,5],"tags":[25,21,22],"class_list":["post-3549","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-coding-projects","category-python","tag-blur-a-video","tag-opencv","tag-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Blur A Video Using OpenCV In Python | Python Project - RUDE LABS<\/title>\n<meta name=\"description\" content=\"In this project, we will learn how to blur a video using OpenCV in\u00a0Python\u00a0with a smaller piece of code. 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