| /external/autotest/client/tests/kvm/ |
| D | guest-os.cfg.sample | 63 images += " stg24 stg25 stg26 stg27"
92 boot_path = "images/pxeboot"
108 #floppy = images/f8-32/ks.vfd
109 cdrom_unattended = images/f8-32/ks.iso
110 kernel = images/f8-32/vmlinuz
111 initrd = images/f8-32/initrd.img
127 #floppy = images/f8-64/ks.vfd
128 cdrom_unattended = images/f8-64/ks.iso
129 kernel = images/f8-64/vmlinuz
130 initrd = images/f8-64/initrd.img
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| /external/skia/gyp/ |
| D | images.gyp | 6 # GYP file for images project.
10 'target_name': 'images',
24 '../include/images',
33 '../include/images/SkForceLinking.h',
34 '../src/images/SkJpegUtility.h',
35 '../include/images/SkMovie.h',
36 '../include/images/SkPageFlipper.h',
38 '../src/images/bmpdecoderhelper.cpp',
39 '../src/images/bmpdecoderhelper.h',
41 '../src/images/SkForceLinking.cpp',
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| /external/opencv3/modules/photo/src/ |
| D | calibrate.cpp | 66 std::vector<Mat> images; in process() local
67 src.getMatVector(images); in process()
70 CV_Assert(images.size() == times.total()); in process()
71 checkImageDimensions(images); in process()
72 CV_Assert(images[0].depth() == CV_8U); in process()
74 int channels = images[0].channels(); in process()
83 sample_points.push_back(Point(rand() % images[0].cols, rand() % images[0].rows)); in process()
86 … x_points = static_cast<int>(sqrt(static_cast<double>(samples) * images[0].cols / images[0].rows)); in process()
88 int step_x = images[0].cols / x_points; in process()
89 int step_y = images[0].rows / y_points; in process()
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| D | merge.cpp | 61 std::vector<Mat> images; in process() local
62 src.getMatVector(images); in process()
65 CV_Assert(images.size() == times.total()); in process()
66 checkImageDimensions(images); in process()
67 CV_Assert(images[0].depth() == CV_8U); in process()
69 int channels = images[0].channels(); in process()
70 Size size = images[0].size(); in process()
73 dst.create(images[0].size(), CV_32FCC); in process()
94 for(size_t i = 0; i < images.size(); i++) { in process()
96 split(images[i], splitted); in process()
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|
| /external/autotest/client/cros/chameleon/ |
| D | screen_comparison.py | 27 @param output_dir: The directory for output images.
51 images = [self._capturer1.capture(), self._capturer2.capture()]
53 if None in images:
55 tags[images.index(None)])
59 # Sometimes the format of images got from X is not RGB,
62 for i, image in enumerate(images):
64 images[i] = image.convert('RGB')
70 if images[0].size != images[1].size:
71 message = ('Sizes of images %s and %s do not match: '
73 (tuple(tags) + images[0].size + images[1].size))
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|
| /external/libxml2/doc/ |
| D | Makefile.am | 23 $(wildcard tutorial/images/*.png) \
24 $(wildcard tutorial/images/callouts/*.png) $(wildcard API*.html) \
190 tutorial/images/blank.png \
191 tutorial/images/callouts/1.png \
192 tutorial/images/callouts/10.png \
193 tutorial/images/callouts/2.png \
194 tutorial/images/callouts/3.png \
195 tutorial/images/callouts/4.png \
196 tutorial/images/callouts/5.png \
197 tutorial/images/callouts/6.png \
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|
| /external/deqp/android/cts/master/ |
| D | egl-master.txt | 1080 dEQP-EGL.functional.sharing.gles2.multithread.simple.images.texture_source.create_destroy
1081 dEQP-EGL.functional.sharing.gles2.multithread.simple.images.texture_source.create_texture
1082 dEQP-EGL.functional.sharing.gles2.multithread.simple.images.texture_source.texsubimage2d
1083 dEQP-EGL.functional.sharing.gles2.multithread.simple.images.texture_source.copytexsubimage2d
1084 dEQP-EGL.functional.sharing.gles2.multithread.simple.images.texture_source.teximage2d
1085 dEQP-EGL.functional.sharing.gles2.multithread.simple.images.texture_source.copyteximage2d
1086 dEQP-EGL.functional.sharing.gles2.multithread.simple.images.texture_source.create_texture_render
1087 dEQP-EGL.functional.sharing.gles2.multithread.simple.images.texture_source.texsubimage2d_render
1088 dEQP-EGL.functional.sharing.gles2.multithread.simple.images.texture_source.copytexsubimage2d_render
1089 dEQP-EGL.functional.sharing.gles2.multithread.simple.images.texture_source.teximage2d_render
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|
| /external/opencv3/doc/tutorials/photo/hdr_imaging/ |
| D | hdr_imaging.markdown | 7 Today most digital images and imaging devices use 8 bits per channel thus limiting the dynamic range
11 capture all details using a single exposure. HDR imaging works with images that use more that 8 bits
14 There are different ways to obtain HDR images, but the most common one is to use photographs of the
19 since images with different exposures should be registered and aligned.
22 case images are already aligned and there are no moving objects. We also demonstrate an alternative
29 
39 -# **Load images and exposure times**
41 vector<Mat> images;
43 loadExposureSeq(argv[1], images, times);
45 Firstly we load input images and exposure times from user-defined folder. The folder should
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|
| /external/chromium-trace/catapult/third_party/pipeline/pipeline/ui/ |
| D | jquery.treeview.css | 14 background: url(images/treeview-default.gif) -64px -25px no-repeat;
41 .treeview li { background: url(images/treeview-default-line.gif) 0 0 no-repeat; }
47 .treeview li.lastCollapsable, .treeview li.lastExpandable { background-image: url(images/treeview-d…
53 .treeview-red li { background-image: url(images/treeview-red-line.gif); }
54 …lastCollapsable, .treeview-red li.lastExpandable { background-image: url(images/treeview-red.gif);…
56 .treeview-black li { background-image: url(images/treeview-black-line.gif); }
57 …stCollapsable, .treeview-black li.lastExpandable { background-image: url(images/treeview-black.gif…
59 .treeview-gray li { background-image: url(images/treeview-gray-line.gif); }
60 …astCollapsable, .treeview-gray li.lastExpandable { background-image: url(images/treeview-gray.gif)…
62 .treeview-famfamfam li { background-image: url(images/treeview-famfamfam-line.gif); }
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|
| /external/chromium-trace/catapult/third_party/flot/ |
| D | jquery.flot.image.js | 1 /* Flot plugin for plotting images.
11 There are two helpers included for retrieving images. The easiest work the way
12 that you put in URLs instead of images in the data, like this:
17 options are the same as you pass in to $.plot. This loads the images, replaces
18 the URLs in the data with the corresponding images and calls "callback" when
19 all images are loaded (or failed loading). In the callback, you can then call
24 Image object when all images are loaded or have failed loading.
29 images: {
40 images: { ... }
44 can't use images with anything else in a specific data series.
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|
| /external/opencv3/samples/cpp/tutorial_code/calib3d/camera_calibration/ |
| D | VID5.xml | 3 <images>
4 images/CameraCalibraation/VID5/xx1.jpg
5 images/CameraCalibraation/VID5/xx2.jpg
6 images/CameraCalibraation/VID5/xx3.jpg
7 images/CameraCalibraation/VID5/xx4.jpg
8 images/CameraCalibraation/VID5/xx5.jpg
9 images/CameraCalibraation/VID5/xx6.jpg
10 images/CameraCalibraation/VID5/xx7.jpg
11 images/CameraCalibraation/VID5/xx8.jpg
12 </images>
|
| /external/opencv3/doc/tutorials/calib3d/camera_calibration/ |
| D | camera_calibration.markdown | 60 noise present in our input images, so for good results you will probably need at least 10 good
85 opt for the last one, you will need to create a configuration file where you enumerate the images to
87 The important part to remember is that the images need to be specified using the absolute path or
110 video file. If this fails or we have enough images then we run the calibration process. In case
127 those images where this is true!).
129 Then again in case of cameras we only take camera images when an input delay time is passed.
130 This is done in order to allow user moving the chessboard around and getting different images.
131 Similar images result in similar equations, and similar equations at the calibration step will
132 form an ill-posed problem, so the calibration will fail. For square images the positions of the
149 -# **Show the distortion removal for the images too**
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|
| /external/opencv3/doc/py_tutorials/py_core/py_image_arithmetics/ |
| D | py_image_arithmetics.markdown | 1 Arithmetic Operations on Images {#tutorial_py_image_arithmetics}
7 - Learn several arithmetic operations on images like addition, subtraction, bitwise operations
14 You can add two images by OpenCV function, cv2.add() or simply by numpy operation,
15 res = img1 + img2. Both images should be of same depth and type, or second image can just be a
32 It will be more visible when you add two images. OpenCV function will provide a better result. So
38 This is also image addition, but different weights are given to images so that it gives a feeling of
39 blending or transparency. Images are added as per the equation below:
46 Here I took two images to blend them together. First image is given a weight of 0.7 and second image
64 
73 I want to put OpenCV logo above an image. If I add two images, it will change color. If I blend it,
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|
| /external/opencv3/modules/photo/include/opencv2/ |
| D | photo.hpp | 104 objects from still images or video. See <http://en.wikipedia.org/wiki/Inpainting> for more details.
132 This function expected to be applied to grayscale images. For colored images look at
159 This function expected to be applied to grayscale images. For colored images look at
170 /** @brief Modification of fastNlMeansDenoising function for colored images
182 @param hColor The same as h but for color components. For most images value equals 10
192 …brief Modification of fastNlMeansDenoising function for images sequence where consequtive images h…
194 images or for manual manipulation with colorspaces. For more details see
198 4-channel images sequence. All images should have the same type and
201 @param temporalWindowSize Number of surrounding images to use for target image denoising. Should
202 be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
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|
| /external/opencv3/doc/py_tutorials/py_feature2d/py_features_meaning/ |
| D | py_features_meaning.markdown | 13 Most of you will have played the jigsaw puzzle games. You get a lot of small pieces of a images,
16 jigsaw puzzles? If the computer can play jigsaw puzzles, why can't we give a lot of real-life images
17 of a good natural scenery to computer and tell it to stitch all those images to a big single image?
18 If the computer can stitch several natural images to one, what about giving a lot of pictures of a
23 How can you stitch a lot of natural images to a single image?
28 out one good feature which can be compared across several images, you can point out one. That is
30 find them, we find the same features in other images, we align them. That's it. (In jigsaw puzzle,
31 we look more into continuity of different images). All these abilities are present in us inherently.
40 
58 
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|
| /external/autotest/client/deps/glbench/ |
| D | USAGE_glbench | 2 performance numbers to stdout and resulting images to a directory for
6 threshold, while the resulting images have to be found in a repository of
7 reference images. As the image name encodes the raw pixel MD5 this can be
44 1) first try to identify known buggy images by searching in
46 2) then identify good images by searching in
55 Handling of reference images
58 Good reference images themselves are located at ../glbench-images/glbench_reference_images/
59 Images that have outstanding defects and an open bug filed are at ../glbench-images/glbench_knownba…
60 When that bug is closed the directory should be moved to ../glbench-images/glbench_fixedbad_images/…
62 To push out new reference images place them in the appropriate
|
| /external/libvncserver/webclients/novnc/ |
| D | vnc.html | 28 <link rel="apple-touch-startup-image" href="images/screen_320x460.png" />
30 <link rel="apple-touch-icon" href="images/screen_57x57.png">
32 <link rel="apple-touch-icon-precomposed" href="images/screen_57x57.png" />
52 <input type="image" alt="viewport drag" src="images/drag.png"
56 <input type="image" alt="No mousebutton" src="images/mouse_none.png"
58 <input type="image" alt="Left mousebutton" src="images/mouse_left.png"
60 <input type="image" alt="Middle mousebutton" src="images/mouse_middle.png"
62 <input type="image" alt="Right mousebutton" src="images/mouse_right.png"
64 <input type="image" alt="Keyboard" src="images/keyboard.png"
76 <input type="image" alt="Extra keys" src="images/showextrakeys.png"
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|
| /external/autotest/site_utils/ |
| D | restart_latest.py | 13 process only specific boards and/or a different images directory, use the -b
16 Expected images directory structure looks like:
39 # Path to Dev Server's images directory.
40 DEFAULT_IMAGES_PATH = '/usr/local/google/images'
50 ' all boards in the images directory will be processed.')
51 parser.add_option('-i', '--images', dest='images',
52 help='Path to Dev Server images directory. Defaults to %s' %
57 if not os.path.exists(options.images):
58 parser.error('The specified images directory (%s) does not exist. Please '
59 'specify another.' % options.images)
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|
| /external/deqp/doc/testspecs/GLES31/ |
| D | functional.copy_image.txt | 25 + 2D texture images
26 + Cube map texture images
27 + 3D texture images
28 + 2D texture array images
29 + Renderbuffer images
33 + Using images for rendering before copy
34 + Not using images for rendering before copy
48 Test creates two images and initializes them to random data. Both images have
49 always npot size and texture images are always created so that they are mipmap
59 Each test case does copying in two different ways. First they create images,
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|
| /external/opencv3/modules/photo/test/ |
| D | test_hdr.cpp | 61 void loadExposureSeq(String path, vector<Mat>& images, vector<float>& times = DEFAULT_VECTOR) in loadExposureSeq() argument
70 images.push_back(img); in loadExposureSeq()
159 vector<Mat> images; in TEST() local
160 loadExposureSeq((test_path + "exposures/").c_str() , images); in TEST()
166 merge->process(images, result); in TEST()
173 images.clear(); in TEST()
174 images.push_back(uniform); in TEST()
176 merge->process(images, result); in TEST()
185 vector<Mat> images; in TEST() local
188 loadExposureSeq(test_path + "exposures/", images, times); in TEST()
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|
| /external/opencv3/doc/tutorials/imgproc/morph_lines_detection/ |
| D | moprh_lines_detection.md | 20 Morphology is a set of image processing operations that process images based on predefined *structu…
26 
28 
32 
34 
44 
59 
63 
67 
69 … music notes from the music sheet, but first let's initialize the output images that we will use f…
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|
| /external/testng/doc/samplereport/css/ |
| D | maven-classic.css | 104 background: url(../images/external-classic.png) left top no-repeat;
108 background: url(../images/external-classic.png) right center no-repeat;
113 background: url(../images/newwindow-classic.png) left top no-repeat;
117 background: url(../images/newwindow-classic.png) right center no-repeat;
145 background-image: url(../images/nw_maj_rond.gif);
155 background-image: url(../images/sw_maj_rond.gif);
162 background-image: url(../images/sw_med_rond.gif);
175 background-image: url(../images/strich.gif);
240 background-image: url(../images/icon_help_sml.gif);
246 background: #eee url(../images/help_logo.gif) top right no-repeat !important;
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|
| /external/opencv3/samples/cpp/ |
| D | pca.cpp | 17 * on this list of images. The author recommends using
54 static void read_imgList(const string& filename, vector<Mat>& images) { in read_imgList() argument
62 images.push_back(imread(line, 0)); in read_imgList()
132 // vector to hold the images in main()
133 vector<Mat> images; in main() local
137 read_imgList(imgList, images); in main()
143 // Quit if there are not enough images for this demo. in main()
144 if(images.size() <= 1) { in main()
145 …string error_message = "This demo needs at least 2 images to work. Please add more images to your … in main()
149 // Reshape and stack images into a rowMatrix in main()
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|
| /external/opencv3/modules/imgproc/doc/ |
| D | colors.markdown | 33 \f$X\f$, \f$Y\f$ and \f$Z\f$ cover the whole value range (in case of floating-point images, \f$Z\f$…
47 …ray}{l l} 128 & \mbox{for 8-bit images} \\ 32768 & \mbox{for 16-bit images} \\ 0.5 & \mbox{for …
54 In case of 8-bit and 16-bit images, R, G, and B are converted to the floating-point format and
64 - 8-bit images: \f$V \leftarrow 255 V, S \leftarrow 255 S, H \leftarrow H/2 \text{(to fit to 0 …
65 - 16-bit images: (currently not supported) \f$V <- 65535 V, S <- 65535 S, H <- H\f$
66 - 32-bit images: H, S, and V are left as is
73 In case of 8-bit and 16-bit images, R, G, and B are converted to the floating-point format and
88 - 8-bit images: \f$V \leftarrow 255 \cdot V, S \leftarrow 255 \cdot S, H \leftarrow H/2 \; \tex…
89 - 16-bit images: (currently not supported) \f$V <- 65535 \cdot V, S <- 65535 \cdot S, H <- H\f$
90 - 32-bit images: H, S, V are left as is
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|
| /external/opencv3/modules/stitching/src/ |
| D | exposure_compensate.cpp | 61 void ExposureCompensator::feed(const std::vector<Point> &corners, const std::vector<UMat> &images, in feed() argument
67 feed(corners, images, level_masks); in feed()
71 void GainCompensator::feed(const std::vector<Point> &corners, const std::vector<UMat> &images, in feed() argument
79 CV_Assert(corners.size() == images.size() && images.size() == masks.size()); in feed()
81 const int num_images = static_cast<int>(images.size()); in feed()
85 //Rect dst_roi = resultRoi(corners, images); in feed()
94 if (overlapRoi(corners[i], corners[j], images[i].size(), images[j].size(), roi)) in feed()
96 … subimg1 = images[i](Rect(roi.tl() - corners[i], roi.br() - corners[i])).getMat(ACCESS_READ); in feed()
97 … subimg2 = images[j](Rect(roi.tl() - corners[j], roi.br() - corners[j])).getMat(ACCESS_READ); in feed()
163 void BlocksGainCompensator::feed(const std::vector<Point> &corners, const std::vector<UMat> &images, in feed() argument
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|