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How to use prepare_image method in localstack
Best Python code snippet using localstack_python
main.py
Source:main.py 
...13 """14 runs a separation on specific two images15 :return:16 """17 # im1 = prepare_image('data/kate.png')18 # im2 = prepare_image('data/f16.png')19 # mixed = mix_images(im1, im2)20 21 # im1 = prepare_image('data/bear.jpg')22 # im2 = prepare_image('data/players.jpg')23 # mixed = prepare_image("data/separation/difference.bmp")24 # mixed, kernel, ratio = realistic_mix_images(im1, im2)25 # mixed = prepare_image('data/separation/postcard/ae-5-m-11.png')26 # mixed = prepare_image('data/separation/solid/m.jpg')27 # im1 = prepare_image('data/separation/g.jpg')28 # ----29 # im2 = prepare_image('data/separation/dorm1_input.png')30 #31 # s = Separation("dorm", im2, num_iter=4000)32 # s.optimize()33 # s.finalize()34 #35 # im2 = prepare_image('data/separation/dusk2_input.png')36 # im2 = np_imresize(im2, 0.5)37 #38 #39 # s = Separation("dusk", im2, num_iter=4000)40 # s.optimize()41 # s.finalize()42 im2 = prepare_image('data/separation/bus_station_input.png')43 s = Separation("bus_station", im2, num_iter=4000)44 s.optimize()45 s.finalize()46 im2 = prepare_image('data/separation/night3_input.png')47 im2 = np_imresize(im2, 0.5)48 s = Separation("night", im2, num_iter=4000)49 s.optimize()50 s.finalize()51 im2 = prepare_image('data/separation/dusk_input.png')52 s = Separation("dusj1", im2, num_iter=4000)53 s.optimize()54 s.finalize()55def experiment_example():56 im1 = prepare_image('data/experiments/texture3.jpg')57 im2 = prepare_image('data/experiments/texture1.jpg')58 mixed = (im1 + im2) / 259 # mixed = prepare_gray_image('data/experiments/97033.jpg')60 # mixed = prepare_gray_image('data/separation/c.jpg')61 s = Separation("mixed", mixed, num_iter=8000)62 s.optimize()63 s.finalize()64def ambiguity_experiment_example():65 im1 = prepare_image('data/experiments/texture3.jpg')66 im2 = prepare_image('data/experiments/texture1.jpg')67 im3 = prepare_image('data/experiments/texture4.jpg')68 im4 = prepare_image('data/experiments/texture6.jpg')69 im1_new = im170 im1_new[:,:, :im1.shape[2]//2] = im4[:,:, :im1.shape[2]//2]71 im2_new = im272 # im4 = np_imresize(im4, output_shape=im2.shape)73 im2_new[:, :, :im2.shape[2] // 2] = im3[:,:, :im2.shape[2] // 2]74 save_image("input1", im1_new)75 save_image("input2", im2_new)76 mixed =(im1_new + im2_new) / 277 save_image("mixed", mixed)78 exit()79 for i in range(10):80 # mixed = prepare_gray_image('data/experiments/97033.jpg')81 # mixed = prepare_gray_image('data/separation/c.jpg')82 s = Separation("mixed_{}".format(i), mixed, num_iter=8000)83 s.optimize()84 s.finalize()85def segment_example():86 # for i in range(1, 10):87 im = prepare_image('data/segmentation/zebra.png')88 fg = prepare_image('data/segmentation/zebra_fg - Copy.png')89 bg = prepare_image('data/segmentation/zebra_bg - Copy.png')90 # fg = prepare_image('data/segmentation/zebra_5_mask.bmp')91 # bg = 1 - prepare_image('data/segmentation/zebra_5_mask.bmp')92 # fg = prepare_image('data/segmentation/zebra_saliency.bmp')93 # fg[fg > 0.9] = 194 # fg[fg <= 0.9] = 095 # bg = 1 - prepare_image('data/segmentation/zebra_saliency.bmp')96 # bg[bg > 0.9] = 197 # bg[bg <= 0.9] = 098 s = Segmentation("zebra_{}".format(1), im, bg_hint=bg, fg_hint=fg)99 s.optimize()100 s.finalize()101 # im = prepare_image('data/segmentation/sheep.jpg')102 # fg = prepare_image('data/segmentation/sheep_fg.png')103 # bg = prepare_image('data/segmentation/sheep_bg.png')104 #105 # s = Segmentation("sheep", im, bg_hint=bg, fg_hint=fg)106 # s.optimize()107 # s.finalize()108 # im = prepare_image('data/segmentation/yaks.jpg')109 # fg = prepare_image('data/segmentation/yaks_fg.png')110 # bg = prepare_image('data/segmentation/yaks_bg.png')111 #112 # s = Segmentation("yaks", im, step_num=2, bg_hint=bg, fg_hint=fg)113 # s.optimize()114 # s.finalize()115 #116 # im = prepare_image('data/segmentation/pagoda.jpg')117 # fg = prepare_image('data/segmentation/pagoda_fg.png')118 # bg = prepare_image('data/segmentation/pagoda_bg.png')119 # s = Segmentation("pagoda", im, step_num=2, bg_hint=bg, fg_hint=fg)120 # s.optimize()121 # s.finalize()122 # im = prepare_image('data/elephant.jpg')123 # im = prepare_image('data/segmentation/pagoda.jpg')124 # im = prepare_image('data/segmentation/361010.jpg')125 # im = prepare_image('data/segmentation/image014.jpg')126 # im = prepare_image('data/segmentation/demo.png')127 # im = prepare_image('data/segmentation/image005.png')128 # im = prepare_image('data/segmentation/image015.png')129 # im = prepare_image('data/segmentation/img_1029.jpg')130 # im = np.clip(imresize(im.transpose(1, 2, 0), 0.5).transpose(2, 0, 1), 0, 1)131 # bg = np.clip(imresize(bg.transpose(1, 2, 0), 0.5).transpose(2, 0, 1), 0, 1)132 # fg = np.clip(imresize(fg.transpose(1, 2, 0), 0.5).transpose(2, 0, 1), 0, 1)133 # segment(im)134 # uneven_segment(im, show_every=500)135 # multiscale_segment(im)136 # uneven_multiscale_segment(im)137def dehazing_exmaple():138 # im = prepare_image('data/dehazing/forest.png')139 # im = prepare_image('data/dehazing/tiananmen.png')140 im = prepare_image('data/dehazing/cityscape.png')141 # im = prepare_image('data/dehazing/dubai.png')142 # im = prepare_image('data/dehazing/mountain.png')143 # im = prepare_image('data/dehazing/underwaterWaterTank.jpg')144 # dehaze(im, use_deep_channel_prior=True)145def watermark_example():146 # im = prepare_image('data/watermark/fotolia.jpg')147 # fg = prepare_image('data/watermark/fotolia_watermark.png')148 # remove_watermark("fotolia", im, fg)149 #150 # im = prepare_image('data/watermark/copyright.jpg')151 # fg = prepare_image('data/watermark/copyright_watermark.png')152 # remove_watermark("copyright", im, fg)153 #154 # im = prepare_image('data/watermark/small_portubation.jpg')155 # fg = prepare_image('data/watermark/small_portubation_watermark.png')156 # remove_watermark("small_portubation", im, fg)157 # im = prepare_image('data/watermark/cvpr1.jpg')158 # fg = prepare_image('data/watermark/cvpr1_watermark.png')159 # remove_watermark("cvpr1", im, fg)160 #161 # im = prepare_image('data/watermark/cvpr2.jpg')162 # fg = prepare_image('data/watermark/cvpr2_watermark.png')163 # remove_watermark("cvpr2", im, fg)164 # im = prepare_image('data/watermark/coco.jpg')165 # fg = prepare_image('data/watermark/coco_watermark.png')166 # remove_watermark("coco", im, fg)167 #168 # im = prepare_image('data/watermark/coco2.jpg')169 # fg = prepare_image('data/watermark/coco2_watermark.png')170 # remove_watermark("coco2", im, fg)171 # im = prepare_image('data/watermark/cvpr3.jpg')172 # fg = prepare_image('data/watermark/cvpr3_watermark.png')173 # remove_watermark("cvpr3", im, fg)174 # im = prepare_image('data/watermark/cvpr4.jpg')175 # fg = prepare_image('data/watermark/cvpr4_watermark.png')176 # remove_watermark("cvpr4", im, fg)177 # im = prepare_image('data/watermark/AdobeStock1.jpg')178 # fg = prepare_image('data/watermark/AdobeStock1_watermark.png')179 # remove_watermark("AdobeStock1", im, fg)180 # im = prepare_image('data/watermark/AdobeStock2.jpg')181 # fg = prepare_image('data/watermark/AdobeStock2_watermark.png')182 # remove_watermark("AdobeStock2", im, fg)183 # im = prepare_image('data/watermark/AdobeStock3.jpg')184 # fg = prepare_image('data/watermark/AdobeStock3_watermark.png')185 # remove_watermark("AdobeStock3", im, fg)186 # im = prepare_image('data/watermark/AdobeStock4.jpg')187 # fg = prepare_image('data/watermark/AdobeStock4_watermark.png')188 # remove_watermark("AdobeStock4", im, fg)189 im = prepare_image('data/watermark/AdobeStock5.jpg')190 fg = prepare_image('data/watermark/AdobeStock5_watermark.png')191 remove_watermark("AdobeStock5", im, fg)192def watermark2_example():193 im1 = prepare_image('data/watermark/fotolia1.jpg')194 im2 = prepare_image('data/watermark/fotolia2.jpg')195 fg = prepare_image('data/watermark/fotolia_many_watermark.png')196 results = []197 for i in range(7):198 # TODO: make it median199 s = TwoImagesWatermark("fotolia_example_{}".format(i), im1, im2, step_num=2, watermark_hint=fg)200 s.optimize()201 s.finalize()202def watermarks2_example_no_hint():203 # im1 = prepare_image('data/watermark/123RF_1.jpg')204 # im2 = prepare_image('data/watermark/123RF_2.jpg')205 # im3 = prepare_image('data/watermark/123RF_3.jpg')206 # im4 = prepare_image('data/watermark/123RF_4.jpg')207 # results = []208 # for i in range(7):209 # # TODO: make it median210 # s = ManyImagesWatermarkNoHint(["123rf_example_{}".format(i) for i in range(4)], [im1, im2, im3, im4])211 # s.optimize()212 # s.finalize()213 im1 = prepare_image('data/watermark/fotolia1.jpg')214 im2 = prepare_image('data/watermark/fotolia2.jpg')215 im3 = prepare_image('data/watermark/fotolia3.jpg')216 results = []217 for i in range(5):218 # TODO: make it median219 s = ManyImagesWatermarkNoHint(["fotolia_example_{}".format(i) for i in range(3)], [im1, im2, im3])220 s.optimize()221 results.append(s.best_result)222 # namedtuple("ManyImageWatermarkResult", ['cleans', 'mask', 'watermark', 'psnr'])223 obtained_watermark = median([result.mask * result.watermark for result in results])224 obtained_im1 = median([result.cleans[0] for result in results])225 obtained_im2 = median([result.cleans[1] for result in results])226 obtained_im3 = median([result.cleans[2] for result in results])227 # obtained_mask = median([result.mask for result in results])228 v = np.zeros_like(obtained_watermark)229 v[obtained_watermark < 0.03] = 1230 final_im1 = v * im1 + (1 - v) * obtained_im1231 final_im2 = v * im2 + (1 - v) * obtained_im2232 final_im3 = v * im3 + (1 - v) * obtained_im3233 save_image("fotolia1_final", final_im1)234 save_image("fotolia2_final", final_im2)235 save_image("fotolia3_final", final_im3)236 save_image("fotolia_final_watermark", obtained_watermark)237 # TODO: for watermark - zero everything under 0.03238def two_extending_experiment():239 im1 = prepare_image('data/kate.png')240 im2 = prepare_image('data/f16.png')241 t = SeparationExtendingExperiment("kate_f16", im1, im2, 2000, True)242 t.optimize()243 t.finalize()244def separate_image_video_example():245 # vid = prepare_video('data/separation/vid.avi')246 # vid = prepare_video('data/separation/half_horses.mp4')247 vid = prepare_video('data/separation/fountain_short.mp4')248 im = prepare_image('data/separation/d.jpg')249 im = np_imresize(im, output_shape=vid.shape[2:])250 mix = 0.5 * im + 0.5 * vid251 image_video_separation("tiger", mix)252 vid = prepare_video('data/separation/fountain_short.mp4')253 im = prepare_image('data/separation/f.jpg')254 im = np_imresize(im, output_shape=vid.shape[2:])255 mix = 0.5 * im + 0.5 * vid256 image_video_separation("misg", mix)257 vid = prepare_video('data/separation/horses_short.mp4')258 im = prepare_image('data/separation/g.jpg')259 im = np_imresize(im, output_shape=vid.shape[2:])260 mix = 0.5 * im + 0.5 * vid261 image_video_separation("cow", mix)262def separate_video_video_example():263 vid = prepare_video('data/separation/fountain_horses.mp4')264 s = VideoVideoSeparation("fountain_horses", vid)265 s.optimize()266 s.finalize()267def separate_alpha_video_example():268 vid = prepare_video('data/separation/vid.avi')269 image_video_separation_with_alpha("video_alpha", vid)270def separate_alpha_video_video_example():271 vid = prepare_video('data/separation/vid.avi')272 alpha_video_video_separation("video_alpha", vid)...
stardict_images.py
Source:stardict_images.py
1#!/usr/bin/env python2# -*- coding: utf-8 -*-3from gimpfu import *4import os5def prepare_image(image, visibleLayers, size, numColors = None):6 """prepare custom image7 image - image object to change8 size - size of the image in pixels9 visibleLayers - a list of layers that must be visible10 """11 for layer in image.layers:12 if layer.name in visibleLayers:13 layer.visible = True14 else:15 image.remove_layer(layer)16 gimp.pdb.gimp_image_merge_visible_layers(image, CLIP_TO_IMAGE)17 drawable=gimp.pdb.gimp_image_get_active_layer(image)18 gimp.pdb.gimp_layer_scale_full(drawable, size, size, False, INTERPOLATION_CUBIC)19 """20 image 670x670, all layers have the same dimensions21 after applying gimp_image_scale_full functions with size=32,22 image.width = 32, image.height = 3223 layer.width = 27, layer.height = 3124 gimp.pdb.gimp_image_scale_full(image, size, size, INTERPOLATION_CUBIC)25 """26 #print 'width = {0}, height = {1}'.format(drawable.width, drawable.height)27 #print 'width = {0}, height = {1}'.format(image.width, image.height)28 if numColors != None:29 gimp.pdb.gimp_image_convert_indexed(image, NO_DITHER, MAKE_PALETTE, numColors, False, False, "")30def save_image(image, dstFilePath):31 dirPath = os.path.dirname(dstFilePath)32 if not os.path.exists(dirPath):33 os.makedirs(dirPath)34 drawable=gimp.pdb.gimp_image_get_active_layer(image)35 gimp.pdb.gimp_file_save(image, drawable, dstFilePath, dstFilePath)36 gimp.delete(drawable)37 gimp.delete(image)38def create_icon(origImage, visibleLayers, props):39 """visibleLayers - a list of layers that must be visible40 props - tuple of image properties in format ((size, bpp), ...)41 where: 42 size - size of the icon in pixels,43 bpp - bits per pixel, None to leave by default44 return value - new image45 """46 iconImage = None47 i = 048 for prop in props:49 image = gimp.pdb.gimp_image_duplicate(origImage)50 prepare_image(image, visibleLayers, prop[0], prop[1])51 image.layers[0].name = 's{0}'.format(i)52 if iconImage == None:53 iconImage = image54 else:55 newLayer = gimp.pdb.gimp_layer_new_from_drawable(image.layers[0], iconImage)56 gimp.pdb.gimp_image_add_layer(iconImage, newLayer, -1)57 gimp.delete(image)58 i += 159 60 return iconImage61 62def stardict_images(srcFilePath, rootDir):63 if not rootDir:64 # srcFilePath = rootDir + "/pixmaps/stardict.xcf"65 if not srcFilePath.endswith("/pixmaps/stardict.xcf"):66 print 'Unable to automatically detect StarDict root directory. Specify non-blank root directory parameter.'67 return68 dstDirPath = os.path.dirname(srcFilePath)69 dstDirPath = os.path.dirname(dstDirPath)70 else:71 dstDirPath = rootDir72 """73 print 'srcFilePath = {0}'.format(srcFilePath)74 print 'rootDir = {0}'.format(rootDir)75 print 'dstDirPath = {0}'.format(dstDirPath)76 """77 dstStarDict_s128_FilePath=os.path.join(dstDirPath, "pixmaps/stardict_128.png")78 dstStarDict_s32_FilePath=os.path.join(dstDirPath, "pixmaps/stardict_32.png")79 dstStarDict_s16_FilePath=os.path.join(dstDirPath, "pixmaps/stardict_16.png")80 dstStarDict_FilePath=os.path.join(dstDirPath, "pixmaps/stardict.png")81 dstStarDictEditor_s128_FilePath=os.path.join(dstDirPath, "pixmaps/stardict-editor_128.png")82 dstStarDictEditor_s32_FilePath=os.path.join(dstDirPath, "pixmaps/stardict-editor_32.png")83 dstStarDictEditor_s16_FilePath=os.path.join(dstDirPath, "pixmaps/stardict-editor_16.png")84 dstStarDictIconFilePath=os.path.join(dstDirPath, "pixmaps/stardict.ico")85 dstStarDictEditorIconFilePath=os.path.join(dstDirPath, "pixmaps/stardict-editor.ico")86 dstStarDictUninstIconFilePath=os.path.join(dstDirPath, "pixmaps/stardict-uninst.ico")87 dstDockletNormalFilePath=os.path.join(dstDirPath, "src/pixmaps/docklet_normal.png")88 dstDockletScanFilePath=os.path.join(dstDirPath, "src/pixmaps/docklet_scan.png")89 dstDockletStopFilePath=os.path.join(dstDirPath, "src/pixmaps/docklet_stop.png")90 dstDockletGPENormalFilePath=os.path.join(dstDirPath, "src/pixmaps/docklet_gpe_normal.png")91 dstDockletGPEScanFilePath=os.path.join(dstDirPath, "src/pixmaps/docklet_gpe_scan.png")92 dstDockletGPEStopFilePath=os.path.join(dstDirPath, "src/pixmaps/docklet_gpe_stop.png")93 dstWordPickFilePath=os.path.join(dstDirPath, "src/win32/acrobat/win32/wordPick.bmp")94 95 origImage=gimp.pdb.gimp_file_load(srcFilePath, srcFilePath)96 97 image = gimp.pdb.gimp_image_duplicate(origImage)98 prepare_image(image, ("book1", "book2"), 128)99 save_image(image, dstStarDict_s128_FilePath)100 image = gimp.pdb.gimp_image_duplicate(origImage)101 prepare_image(image, ("book1", "book2"), 32)102 save_image(image, dstStarDict_s32_FilePath)103 image = gimp.pdb.gimp_image_duplicate(origImage)104 prepare_image(image, ("book1", "book2"), 16)105 save_image(image, dstStarDict_s16_FilePath)106 image = gimp.pdb.gimp_image_duplicate(origImage)107 prepare_image(image, ("book1", "book2"), 64)108 save_image(image, dstStarDict_FilePath)109 image = gimp.pdb.gimp_image_duplicate(origImage)110 prepare_image(image, ("book1", "book2", "edit"), 128)111 save_image(image, dstStarDictEditor_s128_FilePath)112 image = gimp.pdb.gimp_image_duplicate(origImage)113 prepare_image(image, ("book1", "book2", "edit"), 32)114 save_image(image, dstStarDictEditor_s32_FilePath)115 image = gimp.pdb.gimp_image_duplicate(origImage)116 prepare_image(image, ("book1", "book2", "edit"), 16)117 save_image(image, dstStarDictEditor_s16_FilePath)118 image = create_icon(origImage, ("book1", "book2"),119 ((16, None), (32, None), (48, None), (16, 256), (32, 256), (48, 256), (256, None))120 )121 save_image(image, dstStarDictIconFilePath)122 123 image = create_icon(origImage, ("book1", "book2", "edit"),124 ((16, None), (32, None), (48, None), (16, 256), (32, 256), (48, 256), (256, None))125 )126 save_image(image, dstStarDictEditorIconFilePath)127 128 image = create_icon(origImage, ("book1", "book2", "cross"),129 ((16, None), (32, None), (48, None), (16, 256), (32, 256), (48, 256), (256, None))130 )131 save_image(image, dstStarDictUninstIconFilePath)132 133 image = gimp.pdb.gimp_image_duplicate(origImage)134 prepare_image(image, ("book1", "book2"), 32)135 save_image(image, dstDockletNormalFilePath)136 image = gimp.pdb.gimp_image_duplicate(origImage)137 prepare_image(image, ("book1", "book2", "search"), 32)138 save_image(image, dstDockletScanFilePath)139 image = gimp.pdb.gimp_image_duplicate(origImage)140 prepare_image(image, ("book1", "book2", "stop"), 32)141 save_image(image, dstDockletStopFilePath)142 image = gimp.pdb.gimp_image_duplicate(origImage)143 prepare_image(image, ("book1", "book2"), 16)144 save_image(image, dstDockletGPENormalFilePath)145 image = gimp.pdb.gimp_image_duplicate(origImage)146 prepare_image(image, ("book1", "book2", "search"), 16)147 save_image(image, dstDockletGPEScanFilePath)148 image = gimp.pdb.gimp_image_duplicate(origImage)149 prepare_image(image, ("book1", "book2", "stop"), 16)150 save_image(image, dstDockletGPEStopFilePath)151 # See AVToolButtonNew function in PDF API Reference152 # Recommended icon size is 18x18, but it looks too small...153 image = gimp.pdb.gimp_image_duplicate(origImage)154 prepare_image(image, ("book1", "book2"), 22)155 gimp.set_background(192, 192, 192)156 gimp.pdb.gimp_layer_flatten(image.layers[0])157 save_image(image, dstWordPickFilePath)158register(159 "stardict_images",160 "Create images for StarDict",161 "Create images for StarDict",162 "StarDict team",163 "GPL",164 "Mar 2011",165 "<Toolbox>/Tools/stardict images",166 "",167 [168 (PF_FILE, "src_image", "Multilayer image used as source for all other images in StarDict, "...
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