Hello, matplotlib uses int(x*255) or np.array(x*255, np.uint8) to quantize normalized floating point numbers x in the range [0.0 to 1.0] to integers in the range [0 to 255]. This way only 1.0 is mapped to 255, not for example 0.999. Is this really intended or would not the largest floating point number below 256.0 be a better scale factor than 255? The exact factor depends on the floating point precision (~255.999992 for np.float32, ~255.93 for np.float16).
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