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):
# 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 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 _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.')
