| /cts/apps/CameraITS/tests/scene0/ |
| test_gyro_bias.py | 21 from matplotlib import pylab
64 pylab.plot(times, xs, 'r', label="x")
65 pylab.plot(times, ys, 'g', label="y")
66 pylab.plot(times, zs, 'b', label="z")
67 pylab.xlabel("Time (seconds)")
68 pylab.ylabel("Gyro readings (mean of %d samples)"%(N))
69 pylab.legend()
|
| test_jitter.py | 20 from matplotlib import pylab
55 pylab.plot(range(len(deltas_ms)), deltas_ms)
|
| /cts/apps/CameraITS/tests/inprog/ |
| test_blc_lsc.py | 18 from matplotlib import pylab
91 pylab.plot(exposures, r_means_center, 'r')
92 pylab.plot(exposures, g_means_center, 'g')
93 pylab.plot(exposures, b_means_center, 'b')
94 pylab.ylim([0,1])
98 pylab.plot(exposures, r_means_corner, 'r')
99 pylab.plot(exposures, g_means_corner, 'g')
100 pylab.plot(exposures, b_means_corner, 'b')
101 pylab.ylim([0,1])
|
| test_param_black_level_lock.py | 18 from matplotlib import pylab
63 pylab.plot(range(16), hist.tolist()[:16])
65 pylab.xlabel("Luma DN, showing [0:16] out of full [0:256] range")
66 pylab.ylabel("Pixel count")
67 pylab.title("Histograms for different sensitivities")
|
| test_black_level.py | 18 from matplotlib import pylab
84 pylab.plot(range(32), yhist.tolist()[0:32], 'rgb'[si])
85 pylab.plot(range(32), uhist.tolist()[112:144], 'rgb'[si]+'--')
86 pylab.plot(range(32), vhist.tolist()[112:144], 'rgb'[si]+'--')
88 pylab.xlabel("DN: Y[0:32], U[112:144], V[112:144]")
89 pylab.ylabel("Pixel count")
90 pylab.title("Histograms for different sensitivities")
|
| test_param_edge_mode.py | 18 from matplotlib import pylab
|
| /cts/apps/CameraITS/tests/scene1/ |
| test_exposure.py | 23 from matplotlib import pylab
135 pylab.figure('rgb data')
136 pylab.plot(mults, r_means, 'ro-')
137 pylab.plot(mults, g_means, 'go-')
138 pylab.plot(mults, b_means, 'bo-')
139 pylab.title(NAME + 'RGB Data')
140 pylab.xlabel('Gain Multiplier')
141 pylab.ylabel('Normalized RGB Plane Avg')
142 pylab.ylim([0, 1])
146 pylab.figure('raw data'
[all...] |
| test_linearity.py | 22 from matplotlib import pylab
91 pylab.title(NAME)
92 pylab.plot(sensitivities, r_means, '-ro')
93 pylab.plot(sensitivities, g_means, '-go')
94 pylab.plot(sensitivities, b_means, '-bo')
95 pylab.xlim([sens_range[0], sens_range[1]/2])
96 pylab.ylim([0, 1])
97 pylab.xlabel('sensitivity(ISO)')
98 pylab.ylabel('RGB avg [0, 1]')
|
| test_param_shading_mode.py | 23 from matplotlib import pylab
96 pylab.clf()
97 pylab.plot(range(num_map_gains), shading_maps[mode][i], 'r')
98 pylab.plot(range(num_map_gains), reference_maps[mode], 'g')
99 pylab.xlim([0, num_map_gains])
100 pylab.ylim([0.9, 4.0])
|
| test_black_white.py | 19 from matplotlib import pylab
80 pylab.plot([0,1], r_means, 'r')
81 pylab.plot([0,1], g_means, 'g')
82 pylab.plot([0,1], b_means, 'b')
83 pylab.ylim([0,1])
|
| test_param_color_correction.py | 20 from matplotlib import pylab
94 pylab.plot(domain, r_means, 'r')
95 pylab.plot(domain, g_means, 'g')
96 pylab.plot(domain, b_means, 'b')
97 pylab.ylim([0,1])
|
| test_param_exposure_time.py | 20 from matplotlib import pylab
63 pylab.plot(exp_times, r_means, 'r')
64 pylab.plot(exp_times, g_means, 'g')
65 pylab.plot(exp_times, b_means, 'b')
66 pylab.ylim([0,1])
|
| test_param_sensitivity.py | 20 from matplotlib import pylab
68 pylab.plot(sensitivities, r_means, 'r')
69 pylab.plot(sensitivities, g_means, 'g')
70 pylab.plot(sensitivities, b_means, 'b')
71 pylab.ylim([0,1])
|
| test_raw_sensitivity.py | 20 from matplotlib import pylab
88 pylab.plot(x, variances, "-ro")
89 pylab.xticks(x)
90 pylab.xlabel("Setting Combination")
91 pylab.ylabel("Image Center Patch Variance")
|
| test_post_raw_sensitivity_boost.py | 21 from matplotlib import pylab
113 pylab.plot(xs, [rgb[0] for rgb in raw_rgb_means], 'r')
114 pylab.plot(xs, [rgb[1] for rgb in raw_rgb_means], 'g')
115 pylab.plot(xs, [rgb[2] for rgb in raw_rgb_means], 'b')
116 pylab.ylim([0,1])
118 pylab.clf()
119 pylab.plot(xs, [rgb[0] for rgb in yuv_rgb_means], 'r')
120 pylab.plot(xs, [rgb[1] for rgb in yuv_rgb_means], 'g')
121 pylab.plot(xs, [rgb[2] for rgb in yuv_rgb_means], 'b')
122 pylab.ylim([0,1]
[all...] |
| test_dng_noise_model.py | 20 from matplotlib import pylab
94 pylab.plot(sensitivities, var_expected[ch], "rgkb"[ch],
96 pylab.plot(sensitivities, var_measured[ch], "rgkb"[ch]+"--",
98 pylab.xlabel("Sensitivity")
99 pylab.ylabel("Center patch variance")
100 pylab.legend(loc=2)
|
| test_latching.py | 20 from matplotlib import pylab
75 pylab.plot(idxs, r_means, 'r')
76 pylab.plot(idxs, g_means, 'g')
77 pylab.plot(idxs, b_means, 'b')
78 pylab.ylim([0,1])
|
| test_param_noise_reduction.py | 24 from matplotlib import pylab
115 pylab.plot(NR_MODES, snrs[j], "-"+"rgb"[j]+"o")
116 pylab.xlabel("Noise Reduction Mode")
117 pylab.ylabel("SNR (dB)")
118 pylab.xticks(NR_MODES)
|
| test_raw_burst_sensitivity.py | 20 from matplotlib import pylab
99 pylab.plot(x, variances, "-ro")
100 pylab.xticks(x)
101 pylab.xlabel("Setting Combination")
102 pylab.ylabel("Image Center Patch Variance")
|
| test_ev_compensation_basic.py | 22 from matplotlib import pylab
92 pylab.plot(evs, lumas, '-ro')
93 pylab.xlabel('EV Compensation')
94 pylab.ylabel('Mean Luma (Normalized)')
|
| test_reprocess_noise_reduction.py | 24 from matplotlib import pylab
135 pylab.figure(reprocess_format)
137 pylab.plot(NR_MODES, snrs[channel], "-"+"rgb"[channel]+"o")
139 pylab.xlabel("Noise Reduction Mode")
140 pylab.ylabel("SNR (dB)")
141 pylab.xticks(NR_MODES)
|
| /development/tools/axl/ |
| chewie.py | 13 import sys, pylab
148 pylab.text(0, y - 0.25, "%s %s %s" % (val[9], val[0][4], val[8]), font)
151 # pylab.plot([vals[-1][6]], rng)
154 pylab.plot(opened, rng, 'ro')
155 pylab.plot(killed[1], killed[0], 'rx')
160 arrow = pylab.Arrow(send, y, sent - send, 0)
162 ax = pylab.gca()
165 arrow = pylab.Arrow(reading, y, read - reading, 0)
167 ax = pylab.gca()
176 pylab.figtext(0.82, 0.30, caption, bbox=dict(facecolor='lightgrey', alpha=0.5)
[all...] |
| /cts/apps/CameraITS/build/ |
| envsetup.sh | 34 for M in numpy PIL Image matplotlib pylab scipy.stats scipy.spatial
|
| /cts/apps/CameraITS/tests/ |
| tutorial.py | 37 from matplotlib import pylab
170 pylab.plot(range(256), hist.tolist())
171 pylab.xlabel("Luma DN")
172 pylab.ylabel("Pixel count")
173 pylab.title("Histogram of luma channel of captured image")
|
| /cts/apps/CameraITS/tests/sensor_fusion/ |
| test_sensor_fusion.py | 21 from matplotlib import pylab
196 pylab.plot(candidates, dists, 'r', label="data")
197 pylab.plot(xfit, yfit, 'b', label="fit")
198 pylab.plot([exact_best_shift+x for x in [-0.1,0,0.1]], [0,0.01,0], 'b')
199 pylab.xlabel("Relative horizontal shift between curves (ms)")
200 pylab.ylabel("Correlation distance")
201 pylab.legend()
218 pylab.plot(range(len(cam_rots)), cam_rots, 'r', label="camera")
219 pylab.plot(range(len(gyro_rots)), gyro_rots, 'b', label="gyro")
220 pylab.legend(
[all...] |
