- YOUTUBE AD SKIPPER HOW TO
- YOUTUBE AD SKIPPER MANUAL
- YOUTUBE AD SKIPPER FULL
- YOUTUBE AD SKIPPER SOFTWARE
YOUTUBE AD SKIPPER HOW TO
Stopping criteria # alert box for stopping criteria pyautogui.alert(text = 'Keep the mouse pointer on the top left/ corner of screen to stop the program', title= 'Stopping Criteria')Īt the beginning of the program, an alert box pops up with the message of how to stop the script. I have set the threshold to 0.7 so that when the probability of a region in the image matching to the template is quite high, only then consider that point. Thresholding # setting the threshold for confidence in template matching threshold = 0.7
YOUTUBE AD SKIPPER FULL
These templates covers all the cases(resolution, zoom and full screen). I have created four templates, based on different zoom levels after thorough testing. The templates are read in grayscale format as indicated by flag ‘0’. Reading the templates # reading the templates template3 = cv2.imread('template3.png', 0) template4 = cv2.imread('template4.png', 0) template5 = cv2.imread('template5.png', 0) template6 = cv2.imread('template6.png', 0) Numpy is used to convert the python image object into numpy array so as to use it in the template matching method of OpenCV. Various Libraries used import cv2 import numpy as np import pyautogui import time
Surprisingly, it has shown to work in another video streaming application known as, where some Indian television shows are streamed. The application is working fine on cross platforms. I created various templates depending on the various resolutions and zoom levels of the screen.I tested the script thoroughly on two different laptops and at various resolutions. I found Template matching in OpenCV to be the exact solution to the problem I was trying to solve.
While I was learning about OpenCV, I came to know about SIFT features and Template Matching feature in OpenCV.
Soon I realized that there is a problem, different screens can have different resolutions and the skip button can be at different places depending on the zoom or full screen mode or theater view. I used pyautogui library to click at a particular point on the screen. I used numpy index slicing to select only a part of the image.Īs expected, the training went smoothly and the model is trained with around 99 percent accuracy. I tried another technique wherein I selected only a part of the image where the skip button was present. I reduced the image size, even then it was taking to much space that the Google Colab notebook crashed every time I trained a model. I realized that images of big size are difficult to train even on Google Colaboratory. Now I had around 1800 images to train a model. The data collection part became very fast. So, I learned about that and separated each frame. Therefore, I searched on the internet for separating the frames of a video so that I can get each frame as an individual image.
YOUTUBE AD SKIPPER SOFTWARE
I knew that I can record the screen using any software in the market.
YOUTUBE AD SKIPPER MANUAL
I realized that it would be very difficult to collect images using the manual way. Almost 300 images contained skip ad button and another 300 images were of other class label. As neural networks require large amount of data to train, I collected around 600 images. I started collecting the data set by using Windows snipping tool. Therefore I decided to create a machine learning model that can recognize if there is an advertisement on the screen and clicks on the skip ad button. My meditation got disturbed every time an advertisement came. One of the problem that I encountered was that, I have a habit of watching television while I am eating my meal.Now on youtube, while watching a show/video I had to always click on the skip ad button whenever an advertisement came.Īlso, I use to meditate while listening to the teachings of a spiritual guru. I also use youtube extensively for entertainment and educational purposes.Īs advertisement is a major source of revenue for, therefore, they are using it like never before. It helps us watch the content which we are interested in unlike the television. Youtube videos has become part of our everyday life.
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