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Facial image segmentation

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Robotics 2 Masking and Image Segmentation. To complete this lab activity, make a video that includes the following in one video: 1 You saying your name 2 A screenshot showing your rgb image, the background object image, and one image for each of the objects in the rgb image. Your ID Code:. Masking is an image processing method in which we define a small 'image piece' and use it to modify a larger image. Masking is the process that is underneath many types of image processing, including edge detection, motion detection, and noise reduction.
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Instance vs. Semantic Segmentation: What Are the Key Differences?

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SciPy - Ndimage - Tutorialspoint

A couple months ago, you learned how to use the GrabCut algorithm to segment foreground objects from the background. GrabCut worked fairly well but required that we manually supply where in the input image the object was so that GrabCut could apply its segmentation magic. Mask R-CNN, on the other hand, can automatically predict both the bounding box and the pixel-wise segmentation mask of each object in an input image. Mask R-CNN is a state-of-the-art deep neural network architecture used for image segmentation.
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Deep learning added a huge boost to the already rapidly developing field of computer vision. With deep learning, a lot of new applications of computer vision techniques have been introduced and are now becoming parts of our everyday lives. These include face recognition and indexing, photo stylization or machine vision in self-driving cars.
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