Created
December 10, 2019 08:26
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from 2d values to RGB
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| import cv2 | |
| import numpy as np | |
| def get_rgb(two_d_pixels): | |
| theta = np.arctan(two_d_pixels[1,:] / two_d_pixels[0,:]) | |
| r = np.sqrt(two_d_pixels[1,:]**2 + two_d_pixels[0,:]**2) | |
| hue = (theta+3.14/2) * 128./(3.14) # 127 max for hue | |
| sat = (r/np.sqrt(2)) * 255 #255 max for sat | |
| H,W = two_d_pixels.shape[1:3] | |
| retval = np.zeros([H,W,3],dtype = np.uint8) | |
| retval[:,:,0] = hue | |
| retval[:,:,1] = sat | |
| retval[:, :, 2] = 255 | |
| retval = cv2.cvtColor(retval,cv2.COLOR_HSV2BGR) | |
| return retval | |
| two_d_image = np.mgrid[-1:1:0.1,-1:1:0.1] | |
| rgb = get_rgb(two_d_image) | |
| cv2.imshow('ok',rgb) | |
| cv2.waitKey(0) |
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