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How to use display_images_list method in avocado
Best Python code snippet using avocado_python
Laba_2.py
Source:Laba_2.py 
...73 cv2.namedWindow('Display window', cv2.WINDOW_NORMAL)74 cv2.imshow('Display window', ver)75 cv2.waitKey(0)76 cv2.destroyAllWindows()77def display_images_list(imgarray):78 rows = len(imgarray) # Ðлина коÑÑежа или ÑпиÑка79 cols = len(imgarray[80 0]) # ÐÑли imgarray - ÑÑо ÑпиÑок, веÑнÑÑÑ ÐºÐ¾Ð»Ð¸ÑеÑÑво каналов пеÑвого изобÑÐ°Ð¶ÐµÐ½Ð¸Ñ Ð² ÑпиÑке, еÑли ÑÑо коÑÑеж, веÑнÑÑÑ Ð´Ð»Ð¸Ð½Ñ Ð¿ÐµÑвого ÑпиÑка, ÑодеÑжаÑегоÑÑ Ð² коÑÑеже81 # print("rows=", rows, "cols=", cols)82 # ÐаÑÑÑабиÑÑемоÑÑÑ83 scale = 184 # ШиÑина и вÑÑоÑа пеÑвой каÑÑинки85 width = imgarray[0].shape[1]86 height = imgarray[0].shape[0]87 # print("width=", width, "height=", height)88 # ÐпеÑаÑÐ¸Ñ ÑÑанÑÑоÑмаÑии, как и ÑанÑÑе89 for x in range(0, rows):90 if imgarray[x].shape[:2] == imgarray[0].shape[:2]:91 imgarray[x] = cv2.resize(imgarray[x], (0, 0), None, scale, scale)92 else:93 imgarray[x] = cv2.resize(imgarray[x], (imgarray[0].shape[1], imgarray[0].shape[0]), None, scale, scale)94 # РаÑположиÑÑ ÑпиÑок по гоÑизонÑали95 hor = np.hstack(imgarray)96 ver = hor97 cv2.namedWindow('Display window', cv2.WINDOW_NORMAL)98 cv2.imshow('Display window', ver)99 cv2.waitKey(0)100 cv2.destroyAllWindows()101def dis(imgarray):102 scale = 0.5103 rows = len(imgarray) # Ðлина коÑÑежа или ÑпиÑка104 cols = len(imgarray[105 0]) # ÐÑли imgarray - ÑÑо ÑпиÑок, веÑнÑÑÑ ÐºÐ¾Ð»Ð¸ÑеÑÑво каналов пеÑвого изобÑÐ°Ð¶ÐµÐ½Ð¸Ñ Ð² ÑпиÑке, еÑли ÑÑо коÑÑеж, веÑнÑÑÑ Ð´Ð»Ð¸Ð½Ñ Ð¿ÐµÑвого ÑпиÑка, ÑодеÑжаÑегоÑÑ Ð² коÑÑеже106 print("rows= ", rows, "cols=", cols)107 # ÐпÑеделиÑÑ, ÑвлÑеÑÑÑ Ð»Ð¸ Ñип imgarray [0] ÑпиÑком108 # СпиÑок, ÑказÑваÑÑий, ÑÑо imgarray ÑвлÑеÑÑÑ ÐºÐ¾ÑÑежем и должен оÑобÑажаÑÑÑÑ Ð²ÐµÑÑикалÑно109 rowsAvailable = isinstance(imgarray[0], list)110 # ШиÑина и вÑÑоÑа пеÑвой каÑÑинки111 width = imgarray[0][0].shape[1]112 height = imgarray[0][0].shape[0]113 print("width=", width, "height=", height)114 # ÐÑли вÑ
одÑÑий коÑÑеж115 if rowsAvailable:116 for x in range(0, rows):117 for y in range(0, cols):118 # ÐбойÑи коÑÑеж, еÑли ÑÑо пеÑвое изобÑажение, не пÑеобÑазовÑваÑÑ119 if imgarray[x][y].shape[:2] == imgarray[0][0].shape[:2]:120 imgarray[x][y] = cv2.resize(imgarray[x][y], (0, 0), None, scale, scale)121 # ÐÑеобÑазÑйÑе дÑÑгие маÑÑиÑÑ Ðº ÑÐ¾Ð¼Ñ Ð¶Ðµ ÑазмеÑÑ, ÑÑо и пеÑвое изобÑажение, и коÑÑÑиÑÐ¸ÐµÐ½Ñ Ð¼Ð°ÑÑÑабиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð±ÑÐ´ÐµÑ Ð¼Ð°ÑÑÑабиÑоваÑÑÑÑ122 else:123 imgarray[x][y] = cv2.resize(imgarray[x][y], (imgarray[0][0].shape[1], imgarray[0][0].shape[0]),124 None, scale, scale)125 # ÐÑли изобÑажение в оÑÑенкаÑ
ÑеÑого, пÑеобÑазоваÑÑ ÐµÐ³Ð¾ в ÑвеÑное оÑобÑажение126 if len(imgarray[x][y].shape) == 2:127 imgarray[x][y] = cv2.cvtColor(imgarray[x][y], cv2.COLOR_GRAY2BGR)128 # СоздайÑе пÑÑÑой Ñ
олÑÑ Ñого же ÑазмеÑа, ÑÑо и пеÑвое изобÑажение129 imgBlank = np.zeros((height, width, 3), np.uint8)130 hor = [131 imgBlank] * rows # Ð¢Ð¾Ñ Ð¶Ðµ ÑазмеÑ, ÑÑо и пеÑвое изобÑажение, и ÑÑолÑко же гоÑизонÑалÑнÑÑ
пÑÑÑÑÑ
изобÑажений, ÑколÑко коÑÑеж ÑодеÑÐ¶Ð¸Ñ ÑпиÑок132 for x in range(0, rows):133 # РаÑположиÑÑ x-й ÑпиÑок в коÑÑеже по гоÑизонÑали134 hor[x] = np.hstack(imgarray[x])135 ver = np.vstack(hor) # ÐбÑединиÑÑ ÑазнÑе ÑпиÑки по веÑÑикали136 # ÐÑли вÑ
одÑÑий - ÑÑо ÑпиÑок137 else:138 # ÐпеÑаÑÐ¸Ñ ÑÑанÑÑоÑмаÑии, как и ÑанÑÑе139 for x in range(0, rows):140 if imgarray[x].shape[:2] == imgarray[0].shape[:2]:141 imgarray[x] = cv2.resize(imgarray[x], (0, 0), None, scale, scale)142 else:143 imgarray[x] = cv2.resize(imgarray[x], (imgarray[0].shape[1], imgarray[0].shape[0]), None, scale, scale)144 if len(imgarray[x].shape) == 2:145 imgarray[x] = cv2.cvtColor(imgarray[x], cv2.COLOR_GRAY2BGR)146 # РаÑположиÑÑ ÑпиÑок по гоÑизонÑали147 hor = np.hstack(imgarray)148 ver = hor149 cv2.namedWindow('Display window', cv2.WINDOW_NORMAL)150 cv2.imshow('Display window', ver)151 cv2.waitKey(0)152 cv2.destroyAllWindows()153# РеализоваÑÑ ÑилÑÑÑ ÐаÑÑÑа ÑÑедÑÑвами ÑзÑка python154def task_1(img,n,sigma):155 # ÐзнаÑалÑное изобÑажение156 gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)157 # ФилÑÑÑ ÐаÑÑÑа158 newGray = gauss(n, sigma, img)159 display_images_list([gray, newGray])160# ÐÑимениÑÑ Ð´Ð°Ð½Ð½Ñй ÑилÑÑÑ Ð´Ð»Ñ Ð´Ð²ÑÑ
ÑазнÑÑ
знаÑений ÑÑеднего квадÑаÑиÑного оÑклонениÑ161# и двÑÑ
ÑазнÑÑ
ÑазмеÑноÑÑей маÑÑиÑÑ ÑвеÑÑки, ÑÑавниÑÑ ÑезÑлÑÑаÑÑ Ð´Ð»Ñ ÐÐÐÐÐРизобÑажениÑ162def task_2(img):163 # ÐзнаÑалÑное изобÑажение164 gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)165 newGray_1 = gauss(5,0.5,img)166 newGray_2 = gauss(7, 0.5, img)167 newGray_3 = gauss(3, 0.3, img)168 newGray_4 = gauss(3, 0.7, img)169 display_images_list([gray, newGray_1, newGray_2, newGray_3, newGray_4])170# РеализоваÑÑ ÑазмÑÑие ÐаÑÑÑа вÑÑÑоеннÑм меÑодом171# библиоÑеки OpenCV, ÑÑавниÑÑ ÑезÑлÑÑаÑÑ Ñ ÐаÑей ÑеализаÑией.172def task_3(img, n, sigma):173 gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)174 # ÐÑÑÑоеннÑй меÑод175 img_blur = cv2.GaussianBlur(gray, (n, n), sigma)176 # ÐÐ¾Ñ ÑеализаÑиÑ177 image_my_blur = gauss(n, sigma, img)178 Blankimg = np.zeros((200, 200), np.uint8) # Ð Ð°Ð·Ð¼ÐµÑ Ð¼Ð¾Ð¶ÐµÑ Ð±ÑÑÑ Ð¿ÑинÑдиÑелÑно пÑеобÑазован лÑбой ÑÑнкÑией179 dis(([gray, gray], [img_blur, image_my_blur]))180def main():181 img = cv2.imread(r'2.jpg')182 n = 5183 sigma = 0.5...
vmimage.py
Source:vmimage.py
...60 file_path = image_info.base_image61 image = {'name': distro, 'version': image_info.version,62 'arch': image_info.arch, 'file': file_path}63 return image64def display_images_list(images):65 """66 Displays table with information about images67 :param images: list with image's parameters68 :type images: list of dicts69 """70 image_matrix = [[image['name'], image['version'], image['arch'],71 image['file']] for image in images]72 header = (output.TERM_SUPPORT.header_str('Provider'),73 output.TERM_SUPPORT.header_str('Version'),74 output.TERM_SUPPORT.header_str('Architecture'),75 output.TERM_SUPPORT.header_str('File'))76 for line in astring.iter_tabular_output(image_matrix, header=header,77 strip=True):78 LOG_UI.debug(line)79class VMimage(CLICmd):80 """81 Implements the avocado 'vmimage' subcommand82 """83 name = 'vmimage'84 description = 'Provides VM images acquired from official repositories'85 def configure(self, parser):86 parser = super(VMimage, self).configure(parser)87 subcommands = parser.add_subparsers(dest='vmimage_subcommand')88 subcommands.required = True89 subcommands.add_parser('list', help='List of all downloaded images')90 get_parser = subcommands.add_parser('get',91 help="Downloads chosen VMimage if "92 "it's not already in the "93 "cache")94 help_msg = 'Name of image distribution'95 settings.register_option(section='vmimage.get',96 key='distro',97 default=None,98 help_msg=help_msg,99 key_type=str,100 parser=get_parser,101 long_arg='--distro',102 required=True)103 help_msg = 'Image version'104 settings.register_option(section='vmimage.get',105 key='version',106 default=None,107 help_msg=help_msg,108 key_type=str,109 parser=get_parser,110 long_arg='--distro-version')111 help_msg = 'Image architecture'112 settings.register_option(section='vmimage.get',113 key='arch',114 default=None,115 help_msg=help_msg,116 key_type=str,117 parser=get_parser,118 long_arg='--arch')119 def run(self, config):120 subcommand = config.get("vmimage_subcommand")121 if subcommand == 'list':122 images = list_downloaded_images()123 display_images_list(images)124 elif subcommand == 'get':125 name = config.get('vmimage.get.distro')126 version = config.get('vmimage.get.version')127 arch = config.get('vmimage.get.arch')128 try:129 image = download_image(name, version, arch)130 except AttributeError:131 LOG_UI.debug("The requested image could not be downloaded")132 return exit_codes.AVOCADO_FAIL133 LOG_UI.debug("The image was downloaded:")134 display_images_list([image])...
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