def tableview_did_select(self, tableview, section, row): u"""Called when the user selects a row. """ if not tableview.editing: fi = self.lists[section][row] if section == 0: console.show_activity("Loading file list...") self.app.push_view(self.app.make_file_list(fi)) console.hide_activity() elif section == 1: group = fi.constants.group if fi.constants.ext in (u"htm", u"html"): webbrowser.open(u"file://" + fi.path) self.app.close() elif group in ("code", "code_tags", "text"): open_path(fi.path) self.app.close() elif group == "audio": spath = rel_to_app(fi.path.rsplit(u".", 1)[0]) sound.load_effect(spath) sound.play_effect(spath) elif group == "image": console.show_image(fi.path) else: self.app.close() time.sleep(ANIM_DELAY) console.quicklook(fi.path)
def tableview_did_select(self, tableview, section, row): # Called when the user selects a row if not tableview.editing: fi = self.lists[section][row] if section == 0: console.show_activity() nav.push_view(make_file_list(fi)) console.hide_activity() elif section == 1: filetype = fi.fileinfo.filetype if fi.fileinfo.file_ext in ("htm", "html"): webbrowser.open("file://" + fi.path) nav.close() elif filetype in ("code", "code_tags", "text"): open_path(fi.path) nav.close() elif filetype == "audio": spath = rel_to_app(fi.path.rsplit(".", 1)[0]) sound.load_effect(spath) sound.play_effect(spath) elif filetype == "image": console.show_image(fi.path) else: console.quicklook(fi.path) nav.close()
def take_a_selfie(self, filename='.temp.jpg'): self.name = raw_input() self.selfie = raw_input() if 'selfie' in self.selfie: img = photos.capture_image() if img: img.save(filename) console.show_image(filename) speech.say(self.name + ', you look stunning!') print self.name + ', you look stunning!' speech.say( 'Would you like to save your master piece in a custom album?' ) print 'Would you like to save your master piece in a custom album?' self.to_save_or_not_to_save = raw_input() if 'ye' in self.to_save_or_not_to_save: photos.create_album(self.name + 's Album') speech.say( 'Okay. I have created your own custom album to save your legendary pic.' ) print 'Okay. I have created your own custom album to save your legendary pic.' speech.say( 'Hold the image to save your elegant pic in your custom album' ) print 'Hold the image to save your elegant pic in your custom album' self.idle() else: speech.say( 'Affirmative... Your photo will be deleted after this session.' ) print 'Affirmative... Your photo will be deleted after this session.' self.idle() console.clear()
def tableview_did_select(self, tableview, section, row): u"""Called when the user selects a row. """ if not tableview.editing: fi = self.lists[section][row] if section == 0: console.show_activity() self.app.push_view(self.app.make_file_list(fi)) console.hide_activity() elif section == 1: group = fi.constants.group if fi.constants.ext in (u"htm", u"html"): webbrowser.open(u"file://" + fi.path) self.app.close() elif group in ("code", "code_tags", "text"): open_path(fi.path) self.app.close() elif group == "audio": spath = rel_to_app(fi.path.rsplit(u".", 1)[0]) sound.load_effect(spath) sound.play_effect(spath) elif group == "image": console.show_image(fi.path) else: self.app.close() time.sleep(ANIM_DELAY) console.quicklook(fi.path)
def main(): console.clear() i = console.alert('Info', 'This script detects faces in a photo.', 'Take Photo', 'Pick from Library') if i == 1: filename = take_photo() else: filename = pick_photo() if not filename: return ci_img = load_ci_image(filename) out_file = write_output(ci_img) console.show_image(out_file) faces = find_faces(ci_img) if faces.count() == 0: print( 'Error: Could not find a face in the photo. Please try again with a different image.' ) return j = 0 for face in faces: b = face.bounds() w = b.size.width h = b.size.height rt = CGPoint(b.origin.x + w, b.origin.y + h) rb = CGPoint(b.origin.x + w, b.origin.y) lt = CGPoint(b.origin.x, b.origin.y + h) lb = CGPoint(b.origin.x, b.origin.y) corners = (rt, rb, lt, lb) out_img = apply_perspective(corners, ci_img) j = j + 1 out_file = write_output(out_img, filename='.output' + str(j) + '.jpg') console.show_image(out_file) print('Tap and hold the image to save it to your camera roll.')
def main(args): p = argparse.ArgumentParser(description=__doc__) p.add_argument("image", action="store", help="image to show") ns = p.parse_args(args) console.show_image(ns.image) sys.exit(0)
def show(image, title=None, **options): if image.mode != 'RGBA': image = image.convert('RGBA') tmpfile = tempfile.mktemp() w, h = image.size console.save_raw_image_data(copy(image.tostring()), image.mode, w, h, tmpfile) console.show_image(tmpfile) return True
def show(image, title=None, **options): if image.mode != 'RGBA': image = image.convert('RGBA') tmpfile = tempfile.mktemp() w, h = image.size console._save_raw_image_data(copy(image.tostring()), image.mode, w, h, tmpfile) console.show_image(tmpfile) return True
def tableview_did_select(self, tableview, section, row): u"""Called when the user selects a row. """ key = self.lists[section][1][row][0] if key == "ios.quick_look": # Preview - Quick Look self.app.close() time.sleep(ANIM_DELAY) console.quicklook(self.fi.path) elif key == "editor.edit": # Open in Editor - editor open_path(self.fi.path) self.app.close() elif key == "editor.copy_edit": # Copy & Open - editor destdir = full_path( os.path.join(full_path(u"~"), u"Documents/temp")) if not os.path.exists(destdir): os.mkdir(destdir) destfile = full_path( os.path.join(destdir, self.fi.basename().lstrip(u"."))) shutil.copy(self.fi.path, destfile) editor.reload_files() open_path(destfile) self.app.close() elif key == "editor.copy_edit_txt": # Copy & Open as Text - editor destdir = full_path( os.path.join(full_path(u"~"), u"Documents/temp")) if not os.path.exists(destdir): os.mkdir(destdir) destfile = full_path( os.path.join(destdir, self.fi.basename().lstrip(u".") + u".txt")) shutil.copy(self.fi.path, destfile) editor.reload_files() open_path(destfile) self.app.close() elif key == "console.print_image": # Show in Console - console console.show_image(self.fi.path) elif key == "sound.play_sound": # Play Sound - sound spath = rel_to_app(self.fi.path.rsplit(u".", 1)[0]) sound.load_effect(spath) sound.play_effect(spath) elif key == "webbrowser.open": # Open Website - webbrowser webbrowser.open(u"file://" + self.fi.path) self.app.close() elif key == "ios.open_in": # Open In - External Apps if console.open_in(self.fi.path): self.app.close() else: console.hud_alert(u"Failed to Open", "error")
def run_ui(err_m=""): stre = str(err_m) if stre.count('Rate limit exceeded') > 0: console.hud_alert('【制限エラー】15分後にお試しください') console.show_image('./src/limit_error.png') sys.exit() v.present('sheet') if stre.count('.tw.txt') > 0: v['PRINT'].text = "まだ設定されていません。" v['send_code'].text = str(send_code)
def _show(): from matplotlib._pylab_helpers import Gcf active_manager = Gcf.get_active() if active_manager: import console import tempfile screen_width, screen_height = console._get_screen_size() compact = screen_width < 768 dpi = 160 if not compact else 66.2 tmp = tempfile.mktemp(suffix='.png') active_manager.canvas.figure.savefig(tmp, dpi=dpi) console.show_image(tmp)
def tableview_did_select(self, tableview, section, row): u"""Called when the user selects a row. """ key = self.lists[section][1][row][0] if key == "ios.quick_look": # Preview - Quick Look self.app.close() time.sleep(ANIM_DELAY) console.quicklook(self.fi.path) elif key == "editor.edit": # Open in Editor - editor open_path(self.fi.path) self.app.close() elif key == "editor.copy_edit": # Copy & Open - editor destdir = full_path(os.path.join(full_path(u"~"), u"Documents/temp")) if not os.path.exists(destdir): os.mkdir(destdir) destfile = full_path(os.path.join(destdir, self.fi.basename().lstrip(u"."))) shutil.copy(self.fi.path, destfile) editor.reload_files() open_path(destfile) self.app.close() elif key == "editor.copy_edit_txt": # Copy & Open as Text - editor destdir = full_path(os.path.join(full_path(u"~"), u"Documents/temp")) if not os.path.exists(destdir): os.mkdir(destdir) destfile = full_path(os.path.join(destdir, self.fi.basename().lstrip(u".") + u".txt")) shutil.copy(self.fi.path, destfile) editor.reload_files() open_path(destfile) self.app.close() elif key == "console.print_image": # Show in Console - console console.show_image(self.fi.path) elif key == "sound.play_sound": # Play Sound - sound spath = rel_to_app(self.fi.path.rsplit(u".", 1)[0]) sound.load_effect(spath) sound.play_effect(spath) elif key == "webbrowser.open": # Open Website - webbrowser webbrowser.open(u"file://" + self.fi.path) self.app.close() elif key == "ios.open_in": # Open In - External Apps if console.open_in(self.fi.path): self.app.close() else: console.hud_alert(u"Failed to Open", "error")
def tweet_get(twpy_api, userid, first=False): global switch try: gtweets = twpy_api.user_timeline(count=1, screen_name=userid) return tweets2element(gtweets) except Exception as e: if switch == 0: en = re.sub('[^0-9]','', str(e.args)) if en == '88': console.hud_alert('【取得制限エラー】','error') if first: console.show_image('./src/limit_error.png') switch = 2 sys.exit(3) return False
def main(): console.clear() i = console.alert('Info', '画像の入力方法を選択して下さい。', 'Take Photo', 'Pick from Library') if i == 1: filename = take_photo() else: filename = pick_photo() if not filename: return console.show_image(filename) img = img_to_base64(filename) res_json = goog_cloud_vison(img) #print res_json imagebuffer = Image.open(filename) highlight_faces(imagebuffer, res_json['responses'][0]['faceAnnotations'])
def main(): console.clear() i = console.alert('Info', '画像の入力方法を選択して下さい。', 'Take Photo', 'Pick from Library') if i == 1: filename = take_photo() else: filename = pick_photo() if not filename: return console.show_image(filename) img = img_to_base64(filename) res_json = goog_cloud_vison(img) #print res_json #print json.dumps(res_json, indent=2, sort_keys=True) print_description(res_json)
def findFrame(parent, fp, callback=None, userdata=None): while parent.isPlaying(): line = fp.readline() if line[:len('--ipcamera')] == '--ipcamera': fp.readline() content_length = int(fp.readline().split(':')[1].strip()) fp.readline() jpeg = fp.read(content_length) with open('test.jpg','w') as f: f.write(jpeg) console.show_image('test.jpg') time.sleep(0.1) console.clear() if callback: callback(jpeg, userdata)
def main(): console.clear() i = console.alert('Info', 'This script detects a printed page (e.g. a receipt) in a photo, and applies perspective correction and contrast enhancement filters automatically.\n\nThe result is a "scanned" black&white image that you can save to your camera roll.\n\nFor best results, make sure that the page is evenly lit.', 'Take Photo', 'Pick from Library') if i == 1: filename = take_photo() else: filename = pick_photo() if not filename: return ci_img = load_ci_image(filename) corners = find_corners(ci_img) if not corners: print('Error: Could not find a rectangle in the photo. Please try again with a different image.') return out_img = apply_perspective(corners, ci_img) out_img = enhance_contrast(out_img) out_file = write_output(out_img) console.show_image(out_file) print('Tap and hold the image to save it to your camera roll.')
def openSelected(self): if self.scroller.sublayer.selected: filename = self.scroller.sublayer.selected.text absolute_path = os.path.join(self.fs.cwd, filename) relative_path = os.path.relpath(absolute_path) ext = os.path.splitext(filename)[1] if self.fs.isdir(absolute_path): self.opendir(filename) # cant open anything below the documents folder elif ext in ['.png', '.jpg']: console.show_image(absolute_path) sys.exit() elif relative_path[:2] != '..': if ext == '.py': editor.open_file(relative_path) sys.exit() else: show_tempfile(absolute_path) else: show_tempfile(absolute_path)
def openSelected(self): if self.scroller.sublayer.selected: filename = self.scroller.sublayer.selected.text absolute_path = os.path.join(self.fs.cwd,filename) relative_path = os.path.relpath(absolute_path) ext = os.path.splitext(filename)[1] if self.fs.isdir(absolute_path): self.opendir(filename) # cant open anything below the documents folder elif ext in ['.png','.jpg']: console.show_image(absolute_path) sys.exit() elif relative_path[:2] != '..': if ext == '.py': editor.open_file(relative_path) sys.exit() else: show_tempfile(absolute_path) else: show_tempfile(absolute_path)
def test(): default_mode = spelling_mode.spelling_mode() rulesets.set_default_mode(default_mode.combination) text = rulesets.to_upper(unicode(sample_text.get_sample_text())) histogram = statistics.map_labels(statistics.get_letter_histogram(text), DEFAULT_REPLACEMENTS) histogram2 = statistics.keep_n_largest(histogram, 20) print histogram2 print histogram2[:][1] plot_letter_histogram(TMP_PLOT_FILE, histogram2, 200, 200) console.show_image(TMP_PLOT_FILE) new_text = text[100:] + 'XXÖÖÜßßßßxxxxp' histogram = statistics.get_letter_histogram(text) histogram2 = statistics.get_letter_histogram(new_text) changes = statistics.compute_changes(histogram, histogram2) summary_small_changes = statistics.summarize_small_changes(changes, 0.05) actual_changes = statistics.keep_actual_changes(changes,0.05) plot_frequency_change_bars(TMP_PLOT_FILE, actual_changes, 600, 200, summary_small_changes) console.show_image(TMP_PLOT_FILE)
def main(): console.clear() i = console.alert( 'Info', 'This script detects a printed page (e.g. a receipt) in a photo, and applies perspective correction and contrast enhancement filters automatically.\n\nThe result is a "scanned" black&white image that you can save to your camera roll.\n\nFor best results, make sure that the page is evenly lit.', 'Take Photo', 'Pick from Library') if i == 1: filename = take_photo() else: filename = pick_photo() if not filename: return ci_img = load_ci_image(filename) corners = find_corners(ci_img) if not corners: print 'Error: Could not find a rectangle in the photo. Please try again with a different image.' return out_img = apply_perspective(corners, ci_img) out_img = enhance_contrast(out_img) out_file = write_output(out_img) console.show_image(out_file) print 'Tap and hold the image to save it to your camera roll.'
def main(): if appex.is_running_extension(): images = appex.get_attachments('public.jpeg') else: print('Pick a photo to mask.') images = [pick_photo()] print(images) if not images: print('No input image found') return ci_img = load_ci_image(images[0]) faces = find_faces(ci_img) if not faces: print('Error: No faces found in the photo.') return out_img = mask_faces(ci_img, faces) out_file = write_output(out_img) console.clear() console.show_image(out_file) console.alert('Tweet this image?')
def tableview_did_select(self, tableview, section, row): # Called when the user selects a row key = self.lists[section][1][row][0] if key == "shellista-cd": # Go Here - Shellista nav.close() print("Launching Shellista...") try: from Shellista import Shell except ImportError as err: print("Failed to import Shellista: " + err.message) print("See note on Shellista integration at the top of filenav.py.") print("> logout") return shell = Shell() shell.prompt = "> " shell.onecmd("cd " + self.fi.path) print("> cd " + self.fi.path) shell.cmdloop() elif key == "ios-qlook": # Preview - Quick Look nav.close() time.sleep(1) # ui thread will hang otherwise console.quicklook(self.fi.path) elif key == "pysta-edit": # Open in Editor - Pythonista open_path(self.fi.path) nav.close() elif key == "pysta-cpedit": # Copy & Open - Pythonista destdir = full_path(os.path.join(SCRIPT_ROOT, "temp")) if not os.path.exists(destdir): os.mkdir(destdir) destfile = full_path(os.path.join(destdir, self.fi.basename().lstrip("."))) shutil.copy(self.fi.path, destfile) editor.reload_files() open_path(destfile) nav.close() elif key == "pysta-cptxt": # Copy & Open as Text - Pythonista destdir = full_path(os.path.join(SCRIPT_ROOT, "temp")) if not os.path.exists(destdir): os.mkdir(destdir) destfile = full_path(os.path.join(destdir, self.fi.basename().lstrip(".") + ".txt")) shutil.copy(self.fi.path, destfile) editor.reload_files() open_path(destfile) nav.close() elif key == "console-printimg": # Show in Console - console console.show_image(self.fi.path) elif key == "sound-playsound": # Play Sound - sound spath = rel_to_app(self.fi.path.rsplit(".", 1)[0]) sound.load_effect(spath) sound.play_effect(spath) elif key == "webbrowser-open": # Open Website - webbrowser webbrowser.open("file://" + self.fi.path) nav.close() elif key == "ios-openin": # Open In - External Apps if console.open_in(self.fi.path): nav.close() else: console.hud_alert("Failed to Open", "error")
def main(): console.clear() i = console.alert('Info', 'This script detects faces in a photo.', 'Take Photo', 'Pick from Library') if i == 1: filename = take_photo() else: filename = pick_photo() if not filename: return ci_img = load_ci_image(filename) out_file = write_output(ci_img) console.show_image(out_file) # faces = find_faces(ci_img) ### ここから ### mainfolder = "./" outputfolder = "" trainfolder = "training-images" testfolder = "test-images" if os.path.exists(trainfolder + '/1'): shutil.rmtree(trainfolder + '/1') ###if os.path.exists(testfolder+'/1'): ### shutil.rmtree(testfolder+'/1') os.mkdir(trainfolder + '/1') ###os.mkdir(testfolder+'/1') # convert from JPG to MNIST data format path_jpg = ".output.jpg" path_png = "output.png" img = Image.open(path_jpg) # アルファ値を考慮したグレイスケールに変換 img = img.convert("L") # 白黒反転 img = ImageOps.invert(img) img = img.point(lambda x: 0 if x < 130 else x) img = img.point(lambda x: (x * 1000)) # 画像内で値が0でない最小領域を返す crop = img.split()[-1].getbbox() img.crop(crop) # 28x28のサイズに縮小 img = img.resize((28, 28), Image.LANCZOS) img.save(path_png) # 下段に画像を表示 ci_img = load_ci_image(path_png) out_file = write_output(ci_img, filename='./training-images/1/output' + '.png') console.show_image(out_file) # tmp_img = Image.open(path_png) tmp_img = ImageOps.mirror(tmp_img) tmp_img = tmp_img.rotate(90) tmp_img.save(path_png) ci_img = load_ci_image(path_png) out_file = write_output(ci_img, filename='./training-images/1/output' + '.png') # MNISTデータへの変換 itm = image_mnist(main_folder=mainfolder, output_folder=outputfolder, train_folder=trainfolder, test_folder=testfolder) itm.image_to_mnist(toSquare=False, minSquareSize=28, convertToGZip=True) # MNISTデータのロード ###(x_train, t_train), (x_test, t_test) = load_mnist(flatten=True, normalize=False) (x_train, t_train) = load_thimage(flatten=False, normalize=False) ###print(x_train.shape) ###print(x_train) print(x_train[0].shape) plt.imshow(x_train[0][0, :, :]) plt.show() # DeepConvNetによる推測 hoge = deep_convnet.DeepConvNet() hoge.load_params(file_name='deep_convnet_params.pkl') x = hoge.predict(x_train, train_flg=False) print(x.shape) print(x) # 最も確率の高い要素のインデックスを取得 p = np.argmax(x) print('=== PREDICT ===') print(p) print('===============')
def show_image(image): if console: console.show_image(image) else: webbrowser.open(image)
def view_ci_image(ci_img): filename = write_output(ci_img) console.show_image(filename)
def tableview_did_select(self, tableview, section, row): # Called when the user selects a row key = self.lists[section][1][row][0] if key == "shellista-cd": # Go Here - Shellista nav.close() print("Launching Shellista...") try: from Shellista import Shell except ImportError as err: print("Failed to import Shellista: " + err.message) print("See note on Shellista integration at the top of filenav.py.") print("> logout") return shell = Shell() shell.prompt = '> ' shell.onecmd("cd " + self.fi.path) print("> cd " + self.fi.path) shell.cmdloop() elif key == "ios-qlook": # Preview - Quick Look nav.close() time.sleep(1) # ui thread will hang otherwise console.quicklook(self.fi.path) elif key == "pysta-edit": # Open in Editor - Pythonista open_path(self.fi.path) nav.close() elif key == "pysta-cpedit": # Copy & Open - Pythonista destdir = full_path(os.path.join(SCRIPT_ROOT, "temp")) if not os.path.exists(destdir): os.mkdir(destdir) destfile = full_path(os.path.join(destdir, self.fi.basename().lstrip("."))) shutil.copy(self.fi.path, destfile) editor.reload_files() open_path(destfile) nav.close() elif key == "pysta-cptxt": # Copy & Open as Text - Pythonista destdir = full_path(os.path.join(SCRIPT_ROOT, "temp")) if not os.path.exists(destdir): os.mkdir(destdir) destfile = full_path(os.path.join(destdir, self.fi.basename().lstrip(".") + ".txt")) shutil.copy(self.fi.path, destfile) editor.reload_files() open_path(destfile) nav.close() elif key == "console-printimg": # Show in Console - console console.show_image(self.fi.path) elif key == "sound-playsound": # Play Sound - sound spath = rel_to_app(self.fi.path.rsplit(".", 1)[0]) sound.load_effect(spath) sound.play_effect(spath) elif key == "webbrowser-open": # Open Website - webbrowser webbrowser.open("file://" + self.fi.path) nav.close() elif key == "ios-openin": # Open In - External Apps if console.open_in(self.fi.path): nav.close() else: console.hud_alert("Failed to Open", "error")
console.clear() i = console.alert( 'Info', 'This script detects a printed page (e.g. a receipt) in a photo, and applies perspective correction and contrast enhancement filters automatically.\n\nThe result is a "scanned" black&white image that you can save to your camera roll.\n\nFor best results, make sure that the page is evenly lit.', 'Take Photo', 'Pick from Library') if i == 1: filename = take_photo() else: filename = pick_photo() if not filename: return ci_img = load_ci_image(filename) corners = find_corners(ci_img) if not corners: print( 'Error: Could not find a rectangle in the photo. Please try again with a different image.' ) return out_img = apply_perspective(corners, ci_img) out_img = enhance_contrast(out_img) out_file = write_output(out_img) return out_file #console.show_image(out_file) #print('Tap and hold the image to save it to your camera roll.') if __name__ == '__main__': result = main() console.show_image(result) print('Tap and hold the image to save it to your camera roll.')