| /cts/apps/CameraITS/pymodules/its/ |
| dng.py | 15 import numpy namespace
16 import numpy.linalg namespace
46 CM: The 3x3 ColorMatrix for the specified illuminant, as a numpy array
47 FM: The 3x3 ForwardMatrix for the specified illuminant, as a numpy array
55 W = numpy.array([
62 HH = numpy.array([
73 H_D65 = numpy.array([
77 H_A = numpy.array([
89 G = numpy.array([[gains[0],0,0], [0,gains[1],0], [0,0,gains[3]]])
92 S = numpy.array([ccm[0:3], ccm[3:6], ccm[6:9]]
[all...] |
| image.py | 22 import numpy namespace
29 DEFAULT_YUV_TO_RGB_CCM = numpy.matrix([
34 DEFAULT_YUV_OFFSETS = numpy.array([0, 128, 128])
36 DEFAULT_GAMMA_LUT = numpy.array(
40 DEFAULT_INVGAMMA_LUT = numpy.array(
108 img: A raw-10 image, as a uint8 numpy array.
111 Image as a uint16 numpy array, with all row padding stripped.
118 msbs = numpy.delete(img, numpy.s_[4::5], 1)
119 msbs = msbs.astype(numpy.uint16
[all...] |
| /cts/suite/audio_quality/test_description/conf/ |
| check_conf.py | 18 import numpy as np
20 from numpy import *
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| /cts/apps/CameraITS/tests/scene0/ |
| test_gyro_bias.py | 25 import numpy namespace
51 times = numpy.array([(e["time"] - gyro_events[0]["time"])/1000000000.0
53 xs = numpy.array([e["x"] for e in gyro_events])
54 ys = numpy.array([e["y"] for e in gyro_events])
55 zs = numpy.array([e["z"] for e in gyro_events])
74 assert(numpy.var(samples) < VAR_THRESH)
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| /cts/apps/CameraITS/tests/inprog/ |
| test_black_level.py | 22 import numpy namespace
69 its.image.write_image(numpy.absolute(uimg - 0.5) * 2,
75 yhist,_ = numpy.histogram(yimg*255, 256, (0,256))
76 ymodes.append(numpy.argmax(yhist))
77 uhist,_ = numpy.histogram(uimg*255, 256, (0,256))
78 umodes.append(numpy.argmax(uhist))
79 vhist,_ = numpy.histogram(vimg*255, 256, (0,256))
80 vmodes.append(numpy.argmax(vhist))
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| test_burst_sameness_fullres_auto.py | 19 import numpy namespace
58 imgs = numpy.empty([FRAMES,h/4,w/4,3])
81 delta_max_pos = numpy.max(deltas)
82 delta_max_neg = numpy.min(deltas)
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| test_param_black_level_lock.py | 22 import numpy namespace
58 hist,_ = numpy.histogram(yimg*255, 256, (0,256))
59 modes.append(numpy.argmax(hist))
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| test_burst_sameness_auto.py | 20 import numpy namespace
62 imgs = numpy.empty([FRAMES,h,w,3])
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| /cts/apps/CameraITS/tests/inprog/scene2/ |
| test_dng_tags.py | 19 import numpy namespace
51 print "HAL reported gains:\n", numpy.array(gains)
52 print "HAL reported ccm:\n", numpy.array(ccm).reshape(3,3)
53 print "HAL reported cal:\n", numpy.array(cal).reshape(3,3)
69 cm_ref = numpy.array(its.objects.rational_to_float(
71 fm_ref = numpy.array(its.objects.rational_to_float(
73 asn_ref = numpy.array(its.objects.rational_to_float(
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| /cts/apps/CameraITS/tests/scene1/ |
| test_tonemap_sequence.py | 20 import numpy namespace
61 deltas = [numpy.max(numpy.fabs(means[i+1]-means[i])) \
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| test_linearity.py | 20 import numpy namespace
43 gamma_lut = numpy.array(
45 inv_gamma_lut = numpy.array(
92 line,residuals,_,_,_ = numpy.polyfit(range(5),means,1,full=True)
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| test_ev_compensation_basic.py | 23 import numpy namespace
62 luma_diffs = numpy.diff(lumas)
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| test_burst_sameness_manual.py | 21 import numpy namespace
56 imgs = numpy.empty([FRAMES,h,w,3])
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| test_crop_region_raw.py | 20 import numpy namespace
139 diff_yuv = numpy.fabs((imgs2["yuv_full"] - imgs2["yuv_crop"])).mean()
140 diff_raw = numpy.fabs((imgs2["raw_full"] - imgs2["raw_crop"])).mean()
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| test_ev_compensation_advanced.py | 23 import numpy namespace
82 avg_diff = abs(numpy.array(luma_diffs)).mean()
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| test_exposure.py | 21 import numpy namespace
81 m, b = numpy.polyfit(mults, values, 1).tolist()
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| /external/chromium_org/third_party/cython/src/Cython/Build/Tests/ |
| TestInline.py | 7 import numpy namespace
55 import numpy namespace
56 a = numpy.ndarray((10, 20))
58 self.assertEquals(safe_type(a), 'numpy.ndarray[numpy.float64_t, ndim=2]')
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| /cts/apps/CameraITS/tests/sensor_fusion/ |
| test_sensor_fusion.py | 26 import numpy namespace
78 # RGB images as numpy arrays.
157 a,b,c = numpy.polyfit(candidates, dists, 2)
209 all_times = numpy.array([e["time"] for e in gyro_events])
210 all_rots = numpy.array([e["z"] for e in gyro_events])
244 gyro_rots = numpy.array(gyro_rots)
254 frames: List of N images (as RGB numpy arrays).
261 frame = (frame * 255.0).astype(numpy.uint8)
281 return numpy.array(rots)
296 starts = numpy.array([start for start,exptime,readout in cam_events]
[all...] |
| /cts/apps/CameraITS/build/ |
| envsetup.sh | 32 for M in numpy PIL Image matplotlib pylab cv2 scipy.stats scipy.spatial
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| /cts/apps/CameraITS/tests/ |
| tutorial.py | 35 # Modules from the numpy, scipy, and matplotlib libraries. These are used for
36 # the image processing code, and images are represented as numpy arrays.
38 import numpy namespace
127 # Images are numpy arrays. The dimensions are (h,w,3) when indexing,
151 lut = numpy.array([2*i for i in xrange(65536)])
156 # is a numpy array, in row major order, and the pixel values are right-
159 mat = numpy.array([[1, 0, 0 ],
167 hist,_ = numpy.histogram(yimg*255, 256, (0,256))
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| /cts/suite/audio_quality/test_description/processing/ |
| example.py | 18 import numpy as np
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| calc_delay.py | 17 import numpy as np
18 import numpy.linalg namespace
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| /external/libvpx/libvpx/vp9/common/ |
| vp9_tapify.py | 11 import sys,string,os,re,math,numpy namespace
45 r,c = numpy.dot(affine,[y-radius, x-radius])
64 r,c = numpy.dot(affine,[y-7.5, x-7.5])
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| /hardware/intel/common/omx-components/videocodec/libvpx_internal/libvpx/vp9/common/ |
| vp9_tapify.py | 11 import sys,string,os,re,math,numpy namespace
45 r,c = numpy.dot(affine,[y-radius, x-radius])
64 r,c = numpy.dot(affine,[y-7.5, x-7.5])
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| /cts/apps/CameraITS/tests/dng_noise_model/ |
| dng_noise_model.py | 23 import numpy namespace
106 m,b = numpy.polyfit(xs, ys, 1)
138 mS,bS = numpy.polyfit(gains, Ss, 1)
139 mO,bO = numpy.polyfit(gains, Os, 1)
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