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To identify the corners of a pixel outline, you can use image processing techniques such as edge detection and corner detection. Here are the steps:

1. Convert the image to grayscale.
2. Apply edge detection techniques such as Canny edge detection to obtain the pixel outline.
3. Apply a corner detection algorithm such as Harris corner detection to the pixel outline to identify the points where the edge changes direction.
4. Filter the corner points to remove false positives and obtain the corners of the pixel outline.

Alternatively, you can use deep learning techniques to detect the corners of the pixel outline. You can train a neural network to perform corner detection on pixel outlines and use it to identify the corners in your image.