def crop_avatar(self, crop_size=400):
# Crop the recently uploaded avatar
if not os.path.exists(self.avatar.path):
raise Exception('Missing avatar file :%s' % self.avatar.file)
# Do the crop
crop_image(self.avatar.file, self.avatar.path, crop_size, 'png')
def crop_avatar(self, crop_size=400):
# Crop the recently uploaded avatar
if not os.path.exists(self.avatar.path):
raise Exception("Missing avatar file :%s" % self.avatar.file)
# Do the crop
crop_image(self.avatar.file, self.avatar.path, crop_size, "png")
def __call__(self, *args, **kwargs):
self.opening_page()
while True:
self.driver.save_screenshot(r'data/images/a.png')
helpers.crop_image('data/images/a.png', (870, 600, 1050, 650))
self.filling_form()
self.buffer()
self.handling_alert()
if self.alert is not None:
return self.alert
def check_last_page(webview_region, roi_region):
screen_webview = helpers.read_img('screen.png', webview_region)
screen_roi = helpers.crop_image(screen_webview, roi_region)
next_screen_webview = helpers.read_img('next_screen.png', webview_region)
next_screen_roi = helpers.crop_image(next_screen_webview, roi_region)
result = cv2.matchTemplate(screen_roi, next_screen_roi,
cv2.TM_CCOEFF_NORMED)
_, prob, _, _ = cv2.minMaxLoc(result)
return prob
def data_augmentation(IMAGES_DIR, GT_DIR, AUG_IMAGES_DIR, AUG_GT_DIR):
image_names = os.listdir(IMAGES_DIR)
for i, image_name in enumerate(image_names):
image = misc.imread(IMAGES_DIR + image_name)
gt_image = misc.imread(GT_DIR + image_name)
# First, saving the original image into the new folder (after rescaling to the new image size)
misc.imsave(AUG_IMAGES_DIR + image_name,
resize_image(image, NEW_IMAGE_SIZE))
misc.imsave(AUG_GT_DIR + image_name,
resize_image(gt_image, NEW_IMAGE_SIZE))
# Generating 4 cropped images from the original one
for y in range(2):
y_offset = y * (IMAGE_SIZE - NEW_IMAGE_SIZE)
for x in range(2):
x_offset = x * (IMAGE_SIZE - NEW_IMAGE_SIZE)
cropped_image = crop_image(image, NEW_IMAGE_SIZE, y_offset,
x_offset)
gt_cropped_image = crop_image(gt_image, NEW_IMAGE_SIZE,
y_offset, x_offset)
# Keep same name convention, e.g. for first image, the names will be
# satImage_101, satImage_201, satImage_301 and satImage_401
new_image_name = "satImage_{:03d}.png".format(y * 200 +
(x + 1) * 100 +
(i + 1))
misc.imsave(AUG_IMAGES_DIR + new_image_name, cropped_image)
misc.imsave(AUG_GT_DIR + new_image_name, gt_cropped_image)
# Generating 4 rotated images from the original one
for j, angle in enumerate(ANGLES):
# Randomly add a small variation to the defined angle: angle' = angle +/- 5 degrees
angle += 5 * (random.random() - 0.5)
rotated_image = rotate_crop_image(image, angle, NEW_IMAGE_SIZE)
gt_rotated_image = rotate_crop_image(gt_image, angle,
NEW_IMAGE_SIZE)
new_image_name = "satImage_{:03d}.png".format(500 + j * 100 +
(i + 1))
misc.imsave(AUG_IMAGES_DIR + new_image_name, rotated_image)
misc.imsave(AUG_GT_DIR + new_image_name, gt_rotated_image)
def find_all_template_locations(str_template,
scale,
webview_region,
roi_region=None):
screen = helpers.read_img(region=webview_region)
if roi_region is not None:
screen = helpers.crop_image(screen, roi_region)
template = cv2.imread(f'img/{str_template}.png')
template_resized = cv2.resize(template, None, fx=scale, fy=scale)
height, width, _ = template_resized.shape
result = cv2.matchTemplate(screen, template_resized, cv2.TM_CCOEFF_NORMED)
loc = np.where(result >= 0.8)
logger.debug(result)
coords = []
for pt in zip(*loc[::-1]):
coords.append([int(pt[0] + width / 2), int(pt[1] + height / 2)])
data = {
'coords': coords,
}
return data
def build_crop(self, size=400):
'''
For images, build crop
'''
# Create new media
media = PostMedia.objects.create(post=self.post, type='image crop', parent=self, width=size, height=size, size=0)
# Crop image
crop_image(self.path, media.path, size)
# Pillow does not provide file size :(
media.size = os.stat(media.path).st_size
media.save()
return media
def get_webview_region(*_):
""" Stand alone function """
screen = helpers.read_img('screen.png')
# function: threshold green
threshold_green = lambda screen: cv2.inRange(screen, np.array(
[[0, 220, 0]]), np.array([40, 255, 40]))
thresholded = threshold_green(screen)
# get all pixels that are green
green_mask = thresholded > 0
green_coords = np.ix_(green_mask.any(1), green_mask.any(0))
x_coords = np.squeeze(green_coords[1])
y_coords = np.squeeze(green_coords[0])
border_thickness = 4
xmin = int(x_coords[0] + border_thickness)
xmax = int(x_coords[-1] - border_thickness)
ymin = int(y_coords[0] + border_thickness)
ymax = int(y_coords[-1] - border_thickness)
if DEBUG:
cropped = helpers.crop_image(screen, [xmin, xmax, ymin, ymax])
cv2.imwrite('./temp/webview.png', cropped)
return [xmin, xmax, ymin, ymax]
def build_crop(self, size=400):
'''
For images, build crop
'''
# Create new media
media = PostMedia.objects.create(post=self.post,
type='image crop',
parent=self,
width=size,
height=size,
size=0)
# Crop image
crop_image(self.path, media.path, size)
# Pillow does not provide file size :(
media.size = os.stat(media.path).st_size
media.save()
return media
def get(self):
url = self.request.get("url")
imgurl = self.request.get("imgurl")
if imgurl != "False":
item = models.Item.get_by_key_name(url)
request = urlfetch.fetch(url=imgurl, method=urlfetch.GET)
image = helpers.crop_image(request.content, 200)
if image:
if item:
item.img = image
item.has_img = True
item.img_scraped = True
item.put()
self.response.headers['Content-Type'] = 'image/jpeg'
self.response.out.write(image)