Searched refs:yuv_means (Results 1 – 2 of 2) sorted by relevance
/cts/apps/CameraITS/tests/scene1_2/ |
D | test_post_raw_sensitivity_boost.py | 97 def create_plots(idx, raw_means, yuv_means, log_path): argument 109 pylab.plot(idx, [ch[i] for ch in yuv_means], '-'+'rgb'[i]+'s', label='YUV', 162 yuv_means = [] 171 yuv_means.append(compute_patch_means(yuv_caps[i], props, yuv_file_name)) 174 sens, sens_boost, str(raw_means[-1]), str(yuv_means[-1])) 178 create_plots(cap_idxs, raw_means, yuv_means, log_path) 200 vals = [val[ch] for val in yuv_means]
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/cts/apps/CameraITS/tests/scene0/ |
D | test_tonemap_curve.py | 175 yuv_means = np.array(image_processing_utils.compute_image_means(yuv_patch)) 176 yuv_means /= TONEMAP_MAX # Normalize to tonemap max 179 if not np.allclose(raw_means, yuv_means, atol=RGB_MEAN_TOL): 182 (str(raw_means), str(np.round(yuv_means, 3)), RGB_MEAN_TOL))
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