Searched refs:pidx (Results 1 – 3 of 3) sorted by relevance
| /cts/apps/CameraITS/tools/ |
| D | dng_noise_model.py | 283 for pidx in range(num_channels):
284 for iso, s_measured, o_measured in measured_models[pidx]:
285 iso_pidx_to_measured_model_dict[(iso, pidx)] = (s_measured, o_measured)
304 for pidx in range(num_channels):
305 means_p = means[pidx]
306 vars_p = vars_[pidx]
309 subplots[pidx].plot(
320 stats_per_plane[pidx].extend(list(zip(means_p, vars_p)))
325 for pidx in range(num_channels):
327 s_model = scale_a[pidx] * iso * digital_gain + scale_b[pidx]
[all …]
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| /cts/apps/CameraITS/utils/ |
| D | noise_model_utils.py | 274 for pidx in range(num_planes):
275 black_level = black_levels[pidx]
276 means_i = means[pidx]
277 vars_i = vars_[pidx]
298 logging.info('After filter channel %d, stats array is empty.', pidx)
597 for pidx in range(num_planes):
598 means_p = means[pidx]
599 vars_p = vars_[pidx]
601 stats_per_plane[pidx].extend(list(zip(means_p, vars_p)))
603 for pidx, mean_var_pairs in enumerate(stats_per_plane):
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| D | capture_read_noise_utils.py | 132 for pidx, color_channel in enumerate(color_channel_names):
133 norm_vars = [data[pidx]['norm_var'] for data in filtered_data]
137 subplot = subplots[pidx // 4]
139 subplot = subplots[pidx]
144 color=plot_colors[pidx],
146 markeredgecolor=plot_colors[pidx],
155 coeff_a[pidx] * iso_sq_values + coeff_b[pidx],
156 color=plot_colors[pidx],
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