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/cts/apps/CameraITS/tests/scene3/
Dtest_3a_consistency.py21 import numpy as np namespace
126 iso_exp_min = np.amin(iso_exps)
127 iso_exp_max = np.amax(iso_exps)
128 if not np.isclose(iso_exp_max, iso_exp_min, iso_exp_tol):
131 g_gain_min = np.amin(g_gains)
132 g_gain_max = np.amax(g_gains)
133 if not np.isclose(g_gain_max, g_gain_min, _GGAIN_TOL):
136 fd_min = np.amin(fds)
137 fd_max = np.amax(fds)
138 if not np.isclose(fd_max, fd_min, _FD_TOL):
[all …]
Dtest_flip_mirror.py21 import numpy as np namespace
69 patch.astype(np.uint8), chart.scale)
72 if np.max(patch)-np.min(patch) < 255/8:
78 template[:, :, np.newaxis] / 255.0,
83 patch[:, :, np.newaxis] / 255.0,
99 comp_chart = np.flipud(patch)
101 comp_chart = np.fliplr(patch)
103 comp_chart = np.flipud(np.fliplr(patch))
Dtest_lens_movement_reporting.py20 import numpy as np namespace
140 frame_diffs = np.gradient([v['timestamp'] for v in d.values()])
141 delta_diffs = np.amax(frame_diffs) - np.amin(frame_diffs)
142 if not np.isclose(delta_diffs, 0, atol=FRAME_ATOL_MS):
163 if not np.isclose(min_loc, max_loc, rtol=POSITION_RTOL):
170 if not np.isclose(min_sharp, max_sharp, rtol=SHARPNESS_RTOL):
178 if not np.isclose(loc, fd, rtol=POSITION_RTOL):
185 if not np.isclose(min_loc, max_loc, rtol=POSITION_RTOL):
192 if not np.isclose(min_sharp, max_sharp, rtol=SHARPNESS_RTOL):
200 if not np.isclose(loc, fd, rtol=POSITION_RTOL):
/cts/apps/CameraITS/tests/scene0/
Dtest_test_patterns.py20 import numpy as np namespace
56 np.amax(r_tile), np.amax(gr_tile), np.amax(gb_tile), np.amax(b_tile))
58 np.amin(r_tile), np.amin(gr_tile), np.amin(gb_tile), np.amin(b_tile))
62 return np.isclose(var_max, var_min, atol=CH_TOL)
85 img = np.fliplr(img)
93 np.allclose(
Dtest_tonemap_curve.py20 import numpy as np namespace
114 if np.allclose(COLOR_CHECKER[color], raw_means, atol=RAW_TOL):
171 raw_means = np.array(image_processing_utils.compute_image_means(raw_patch))
172 raw_vars = np.array(
174 yuv_means = np.array(image_processing_utils.compute_image_means(yuv_patch))
176 yuv_vars = np.array(
178 if not np.allclose(raw_means, yuv_means, atol=RGB_MEAN_TOL):
181 (str(raw_means), str(np.round(yuv_means, 3)), RGB_MEAN_TOL))
182 if not np.allclose(raw_vars, yuv_vars, atol=RGB_VAR_TOL):
Dtest_vibration_restriction.py21 import numpy as np namespace
77 var_w_vibration = np.var(magnitudes)
84 var_wo_vibration = np.var(magnitudes)
99 var_w_vibration_restricted = np.var(magnitudes)
/cts/apps/CameraITS/tests/scene2_a/
Dtest_effects.py20 import numpy as np namespace
92 y_min, y_max = np.amin(y)*YUV_MAX, np.amax(y)*YUV_MAX
98 u_min, u_max = np.amin(u) * YUV_MAX, np.amax(u) * YUV_MAX
99 v_min, v_max = np.amin(v) * YUV_MAX, np.amax(v) * YUV_MAX
110 u_min, u_max = np.amin(u)*YUV_MAX, np.amax(u)*YUV_MAX
111 v_min, v_max = np.amin(v)*YUV_MAX, np.amax(v)*YUV_MAX
Dtest_jpeg_quality.py24 import numpy as np namespace
88 jpeg = np.concatenate((jpeg[0:i], jpeg[length:]), axis=None)
153 luma = np.array(jpeg[luma_start: luma_start + dqt_size])
154 chroma = np.array(jpeg[chroma_start: chroma_start + dqt_size])
155 lumas.append(np.mean(luma))
156 chromas.append(np.mean(chroma))
167 matrix = np.array(jpeg[start:start + dqt_size])
169 chromas.append(np.mean(matrix))
174 lumas.append(np.mean(matrix))
264 lumas = np.array(lumas)
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/cts/apps/CameraITS/tests/scene4/
Dtest_multi_camera_alignment.py21 import numpy as np namespace
45 TRANS_MATRIX_REF = np.array([0, 0, 0]) # translation matrix for ref cam is 000
70 img = img.astype(np.uint8)
119 np.isclose(chart_distance,
123 np.isclose(chart_distance,
297 k_x1 = np.dot(k[0, :], r[:, 0])
298 k_x2 = np.dot(k[0, :], r[:, 1])
299 k_x3 = z_w * np.dot(k[0, :], r[:, 2]) + np.dot(k[0, :], t)
300 k_y1 = np.dot(k[1, :], r[:, 0])
301 k_y2 = np.dot(k[1, :], r[:, 1])
[all …]
/cts/apps/CameraITS/tools/
Ddng_noise_model.py22 import numpy as np namespace
160 med = np.median(data)
161 keep_indices = np.where(
162 np.logical_and(data>med-deviations*std_dev, data<med+deviations*std_dev))
260 np.min(means), np.median(means), np.max(means))
262 np.min(vars_), np.median(vars_), np.max(vars_))
297 means_p = np.asarray(means_p).flatten()
298 vars_p = np.asarray(vars_p).flatten()
357 sens = np.asarray([e[0] for e in measured_models[pidx]])
358 sens_sq = np.square(sens)
[all …]
Drun_sensor_fusion.py23 import numpy as np namespace
195 len(times), np.mean(times), np.std(times))
/cts/apps/CameraITS/utils/
Dsensor_fusion_utils.py29 import numpy as np namespace
338 rotations_sum = np.cumsum(rotations)
361 gyro_times = np.array([e['time'] for e in gyro_events])
362 all_gyro_rots = np.array([e['z'] for e in gyro_events])
402 gyro_rots = np.array(gyro_rots)
421 x0 = (x-x.mean(0)) / np.sqrt(((x-x.mean(0))**2.0).sum())
422 y0 = (y-y.mean(0)) / np.sqrt(((y-y.mean(0))**2.0).sum())
423 u, _, vt = np.linalg.svd(np.dot(x0.T, y0), full_matrices=False)
424 return np.dot(vt.T, u.T)
452 frame = (frame * 255.0).astype(np.uint8) # cv2 uses [0, 255]
[all …]
Dcamera_properties_utils.py20 import numpy as np namespace
642 ical = np.array(props['android.lens.intrinsicCalibration'])
666 if not np.isclose(fd_w_pix, ical[0], rtol=0.20):
669 if not np.isclose(fd_h_pix, ical[1], rtol=0.20):
674 k = np.array([[ical[0], ical[4], ical[2]],
693 t = np.array(props['android.lens.poseTranslation'])
717 rotation = np.array(props['android.lens.poseRotation'])
731 return np.array([[1-2*y**2-2*z**2, 2*x*y-2*z*w, 2*x*z+2*y*w],
746 dist = np.array(props['android.lens.distortion'])
754 cv2_distort = np.array([dist[0], dist[1], dist[3], dist[4], dist[2]])
/cts/tests/tests/uirendering/src/android/uirendering/cts/testclasses/
DNinePatchTests.kt51 val np = with(ImageDecoder.createSource(activity.resources, R.drawable.padding_0)) { in <lambda>() constant
59 addCanvasClientWithoutUsingPicture(NinePatchCanvasClient(np, paint), hw) in <lambda>()
64 np.bitmap.recycle() in <lambda>()
69 val np = with(ImageDecoder.createSource(activity.resources, R.drawable.padding_0)) { in <lambda>() constant
80 NinePatchCanvasClient(np, paint).draw(canvas, TEST_WIDTH, TEST_HEIGHT) in <lambda>()
90 for (bitmap in arrayOf(filtered, unfiltered, noPaint, np.bitmap)) { in <lambda>()
/cts/apps/CameraITS/tests/scene1_1/
Dtest_capture_result.py23 import numpy as np namespace
48 return np.isclose(capture_request_utils.rational_to_float(n1),
57 xs = np.array([range(lsc_map_w)] * lsc_map_h).reshape(lsc_map_h, lsc_map_w)
58 ys = np.array([[i]*lsc_map_w for i in range(lsc_map_h)]).reshape(
60 zs = np.array(lsc_map[ch::4]).reshape(lsc_map_h, lsc_map_w)
128 if np.allclose(awb_gains, MANUAL_AWB_GAINS, atol=ISCLOSE_ATOL):
196 if not (all([np.isclose(awb_gains[i], MANUAL_GAINS_OK[0][i],
198 all([np.isclose(awb_gains[i], MANUAL_GAINS_OK[1][i],
200 all([np.isclose(awb_gains[i], MANUAL_GAINS_OK[2][i],
219 if not all([np.isclose(c[i], c[i+1], atol=ISCLOSE_ATOL)
[all …]
Dtest_auto_vs_manual.py21 import numpy as np namespace
126 if not np.allclose(awb_xform, x, atol=AWB_MANUAL_ATOL, rtol=0):
129 if not np.allclose(awb_gains, g, atol=AWB_MANUAL_ATOL, rtol=0):
134 if not np.allclose(awb_xform_a, awb_xform, atol=AWB_AUTO_ATOL,
138 if not np.allclose(awb_gains_a, awb_gains, atol=AWB_AUTO_ATOL,
Dtest_ae_af.py20 import numpy as np namespace
91 if np.isnan(g):
96 if np.isnan(x):
98 if not np.isclose(awb_gains[G_CHANNEL], G_GAIN, G_GAIN_TOL):
Dtest_param_noise_reduction.py22 import numpy as np namespace
125 rgb_snrs = [np.mean(r_snrs), np.mean(g_snrs), np.mean(b_snrs)]
188 if not np.isclose(snrs[j][NR_MODES['ZSL']], snrs[j][NR_MODES['MIN']],
196 if not np.isclose(snrs[j][NR_MODES['ZSL']], snrs[j][NR_MODES['OFF']],
Dtest_linearity.py23 import numpy as np namespace
43 GAMMA_LUT = np.array(
45 INV_GAMMA_LUT = np.array(
125 line, residuals, _, _, _ = np.polyfit(
Dtest_crop_region_raw.py21 import numpy as np namespace
129 if np.isclose(err_delta, CROP_REGION_ERROR_THRESHOLD, rtol=0.01):
177 diff_yuv = np.fabs((imgs2['yuv_full'] - imgs2['yuv_crop'])).mean()
178 diff_raw = np.fabs((imgs2['raw_full'] - imgs2['raw_crop'])).mean()
Dtest_3a.py20 import numpy as np namespace
32 if np.isnan(x):
Dtest_black_white.py25 import numpy as np namespace
156 np.amin(white_means), np.amax(white_means), abs_tol=CH_TOL_WHITE):
/cts/apps/CameraITS/tests/sensor_fusion/
Dtest_sensor_fusion.py28 import numpy as np namespace
188 starts = np.array([start for start, exptime, readout in cam_events])
189 max_frame_delta_ms = (np.amax(np.subtract(starts[1:], starts[0:-1])) /
196 exptimes = np.array([exptime for start, exptime, readout in cam_events])
197 if not np.all(exptimes == exptimes[0]):
199 readouts = np.array([readout for start, exptime, readout in cam_events])
200 if not np.all(readouts == readouts[0]):
216 xfit = np.arange(x[0], x[-1], 0.05).tolist()
270 frames.append(np.array(img).reshape((h, w, 3)) / 255)
/cts/apps/CameraITS/tests/scene1_2/
Dtest_reprocess_noise_reduction.py22 import numpy as np namespace
168 rgb_avg_snrs = [np.mean(r_snrs), np.mean(g_snrs), np.mean(b_snrs)]
215 if not np.isclose(
223 if not np.isclose(
/cts/apps/CameraITS/tests/inprog/rolling_shutter_skew/
Dtest_rolling_shutter_skew.py20 import numpy as np namespace
319 np_cluster = np.array([[c.x, c.y] for c in largest_cluster])
369 img = img.astype(np.uint8)
382 kernel = np.ones((3, 3), np.uint8)
416 self.x = int(np.mean(contour[:, 0, 0]))
417 self.y = int(np.mean(contour[:, 0, 1]))
419 x_r = (np.max(contour[:, 0, 0]) - np.min(contour[:, 0, 0])) / 2.0
420 y_r = (np.max(contour[:, 0, 1]) - np.min(contour[:, 0, 1])) / 2.0
570 points = np.array([[x, y], [x + w, y], [x + w, y + h], [x, y + h]],
571 np.int32)

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