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The code is a single line and looks like this: def replace_background_pixels( frame, bg, mask): frame = bg return frame The short way is one single line and is just to replace the pixels from one image into the other. The final code looks like this: def replace_background( frame, bg, mask): # if the pixel on threshold is background then make it white frame = 255 # if the pixel on threshold is not background then make it black bg = 255 # combine both images into frame return cv2.bitwise_and( bg, frame) Create a masked version of the current frame.The long way and maybe more comprehensive that I use to follow is to: Once we have the mask we will need to apply it and combine the frame of the video with the background image to replace the green background with the background image of our choice. Step Three: Apply the mask and combine images def create_mask_with_in_range( frame): mask = cv2.bitwise_not(cv2.inRange( frame, np.array(), np.array())) mask = cv2.erode(mask, cv2.getStructuringElement(cv2.MORPH_RECT, (9, 9))) return mask Top Data Science Platforms in 2021 Other than KaggleĪnother would be the color frame and taking into consideration the color space filter out the pixels with cv2.inRange, you will have to create a proper range of colors to filter it out, and then will need to negate it as well using cv2.bitwise_not. Machine Learning by Using Regression ModelĤ.
How AI Will Power the Next Wave of Healthcare Innovation?ģ. Thousands of new images every day Completely Free to Use High-quality videos and images from Pexels. def create_mask_with_threshold( frame): # split the the B, G and R channels b, g, r = cv2.split( frame) # create the threshold _, mask = cv2.threshold(g, 245, 255, cv2.THRESH_BINARY_INV) # De-noise the threshold to get a cleaner mask mask = cv2.erode(mask, cv2.getStructuringElement(cv2.MORPH_RECT, (9, 9))) return mask Trending AI Articles:Ģ. Download and use 100,000+ green background stock photos for free. So there are many ways of finding the background, a very simple one would be to split the BGR channels and use the green channel to apply a threshold and use this as a mask. We will use a simple threshold to do this, and since this will be a “Green screen” we know the background will be green.