Searched refs:raw_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
111 pylab.plot(idx, [ch[i] for ch in raw_means], '-'+'rgb'[i]+'o', label='RAW',
161 raw_means = []
167 raw_means.append(compute_patch_means(raw_caps[i], props, raw_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)
186 ratio_per_step = raw_means[step-1][ch] / raw_means[step][ch]
188 step - 1, step, _COLORS[ch], raw_means[step - 1][ch],
189 raw_means[step][ch], ratio_per_step)
190 if raw_means[step][ch] <= _RAW_PIXEL_THRESH:
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| /cts/apps/CameraITS/tests/scene0/ |
| D | test_tonemap_curve.py | 110 raw_means = image_processing_utils.compute_image_means(raw_patch)
112 n, x_norm, str(raw_means))
114 if np.allclose(COLOR_CHECKER[color], raw_means, atol=RAW_TOL):
172 raw_means = np.array(image_processing_utils.compute_image_means(raw_patch))
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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