frame interpolation camera view

Frame interpolation is the process of transforming a fixed image into an image that looks like it does not exist. It involves using algorithms to transform the position of points in the frame that aren’t visible and then normalizing them off the new image, so that any new pixels appear as though they are alive. This allows for better resolution for smaller images and for capturing objects with more detail.

frame interpolation camera view, i.e., camera upscale from 1/32 resolution to 800×640″””        # Get all the image indexes in the image stack, and the width of each frame        # Select only the first frame found        n = 0    assert len(y)!= len(x), “Shape of x is wrong! Expected {} images but got {}”.format(len(x), len(y))    f = None    for i in range(len(y)):        if (i > 0):            if y[i] < -1 or y[i] >= len(y)-1:                continue        # For each image, find its bounding box        l = []

frame interpolation camera view        # TODO: use culling method (?)        self._frame_rate = frame_rate or float(camera_view[‘fps’]) / 10.0