本文整理汇总了Python中thumbor.point.FocalPoint类的典型用法代码示例。如果您正苦于以下问题：Python FocalPoint类的具体用法？Python FocalPoint怎么用？Python FocalPoint使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了FocalPoint类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: should_append_the_returned_focal_points_to_context_request
def should_append_the_returned_focal_points_to_context_request(self, topic):
focal_point1_repr = FocalPoint.from_square(1, 2, 3, 4).to_dict()
focal_point2_repr = FocalPoint.from_square(5, 6, 7, 8).to_dict()
calls = topic.context.request.focal_points.append.call_args_list
first_call_arg_repr = calls[0][0][0].to_dict()
secon_call_arg_repr = calls[1][0][0].to_dict()
expect(first_call_arg_repr).to_equal(focal_point1_repr)
expect(secon_call_arg_repr).to_equal(focal_point2_repr)示例2: after_smart_detect
def after_smart_detect(self, focal_points=[], points_from_storage=False):
self.manual_crop()
self.calculate_target_dimensions()
for point in focal_points:
self.context.request.focal_points.append(FocalPoint.from_dict(point))
if self.context.request.focal_points and self.context.modules.storage and not points_from_storage:
storage = self.context.modules.storage
points = []
for point in self.context.request.focal_points:
points.append(point.to_dict())
storage.put_detector_data(self.smart_storage_key, points)
self.adjust_focal_points()
if self.context.request.debug:
self.debug()
else:
if self.context.request.fit_in:
self.fit_in_resize()
else:
self.auto_crop()
self.resize()
self.flip()
self.done_callback()示例3: smart_detect
def smart_detect(self):
if self.context['detectors'] and self.context['smart']:
storage = self.context['storage']
engine = self.context['engine']
storage_key = '%s_%d_%d' % (self.context['image_url'], engine.size[0], engine.size[1])
if self.context['crop_left']:
storage_key = storage_key + '_%d_%d_%d_%d' % (self.context['crop_left'],
self.context['crop_top'],
self.context['crop_right'],
self.context['crop_bottom']
)
focal_points = storage.get_detector_data(storage_key)
if focal_points:
for point in focal_points:
self.context['focal_points'].append(FocalPoint.from_dict(point))
else:
detectors = self.context['detectors']
detectors[0](index=0, detectors=detectors).detect(self.context)
points = []
focal_points = self.context['focal_points']
for point in focal_points:
points.append(point.to_dict())
storage.put_detector_data(storage_key, points)示例4: features_to_focal_points
def features_to_focal_points(cls, features):
focal_points = []
for (left, top, width, height), neighbors in features:
top = cls.add_hair_offset(top, height)
focal_points.append(
FocalPoint.from_square(left, top, width, height, origin="Face Detection"))
return focal_points示例5: adjust_focal_points
def adjust_focal_points(self):
source_width, source_height = self.engine.size
self.focal_points = None
if self.context.request.focal_points:
if self.context.request.should_crop:
self.focal_points = []
crop = self.context.request.crop
for point in self.context.request.focal_points:
if point.x < crop['left'] or point.x > crop['right'] or point.y < crop['top'] or point.y > crop['bottom']:
continue
point.x -= crop['left'] or 0
point.y -= crop['top'] or 0
self.focal_points.append(point)
else:
self.focal_points = self.context.request.focal_points
if not self.focal_points:
self.focal_points = [
FocalPoint.from_alignment(self.context.request.halign,
self.context.request.valign,
source_width,
source_height)
]
self.engine.focus(self.focal_points)示例6: detect
def detect(self, context):
features = self.get_features(context)
if features:
for (left, top, width, height), neighbors in features:
context['focal_points'].append(FocalPoint.from_square(left, top, width, height))
else:
self.next(context)示例7: detect
def detect(self, callback):
features = self.get_features()
if features:
for square, neighbors in features:
self.context.request.focal_points.append(FocalPoint.from_square(*square))
callback()
else:
self.next(callback)示例8: calculate_focal_points
def calculate_focal_points(self):
if self.context['focal_points']:
self.focal_points = self.context['focal_points']
else:
self.focal_points = [
FocalPoint.from_alignment(self.context['halign'],
self.context['valign'],
self.source_width,
self.source_height)
]示例9: detect
def detect(self, callback):
features = self.get_features()
if features:
for (left, top, width, height), neighbors in features:
top = self.__add_hair_offset(top, height)
self.context.request.focal_points.append(
FocalPoint.from_square(left, top, width, height, origin="Face Detection")
)
callback()
else:
self.next(callback)示例10: extract_focal
def extract_focal(self):
parts = self.parse_url(self.context.request.image_url)
if parts:
image, top, right, left, bottom = parts
top, right, left, bottom = int(top), int(right), int(left), int(bottom)
width = right - left
height = bottom - top
self.context.request.focal_points.append(
FocalPoint.from_square(left, top, width, height, origin="Original Extraction")
)
self.context.request.image_url = image示例11: focal
def focal(self, focal_string):
parsed = self.focal_regex.match(focal_string)
if parsed:
left, top, right, bottom = parsed.groups()
left, top, right, bottom = int(left), int(top), int(right), int(bottom)
width = right - left
height = bottom - top
if width and height:
self.context.request.focal_points.append(
FocalPoint.from_square(left, top, width, height, origin="Explicit")
)示例12: calculate_focal_points
def calculate_focal_points(self):
source_width, source_height = self.engine.size
if self.context['focal_points']:
self.focal_points = self.context['focal_points']
else:
self.focal_points = [
FocalPoint.from_alignment(self.context['halign'],
self.context['valign'],
source_width,
source_height)
]
self.engine.focus(self.focal_points)示例13: calculate_focal_points
def calculate_focal_points(self):
source_width, source_height = self.engine.size
if self.context.request.focal_points:
self.focal_points = self.context.request.focal_points
else:
self.focal_points = [
FocalPoint.from_alignment(self.context.request.halign,
self.context.request.valign,
source_width,
source_height)
]
self.engine.focus(self.focal_points)示例14: process
def process(self, canvas_width, canvas_height, size):
try:
self.engine.load(self.buffer, self.extension)
width, height = self.engine.size
new_width, new_height = calc_new_size_by_height(width, height, canvas_height)
focal_points = StandaloneFaceDetector.features_to_focal_points(
StandaloneFaceDetector.get_features(self.thumbor_filter.context, self.engine))
if focal_points:
self.resize_focal_points(focal_points, float(new_width) / width)
else:
focal_points.append(FocalPoint.from_alignment('center', 'top', new_width, new_height))
self.engine.resize(new_width, new_height)
self.engine.focus(focal_points)
StandaloneFaceDetector.auto_crop(self.engine, focal_points, size, canvas_height)
except Exception as err:
logger.exception(err)示例15: detect
def detect(self, callback):
try:
features = self.get_features()
except Exception:
logger.warn('Error during face detection; skipping to next detector')
self.next(callback)
return
if features:
for (left, top, width, height), neighbors in features:
top = self.__add_hair_offset(top, height)
self.context.request.focal_points.append(
FocalPoint.from_square(left, top, width, height, origin="Face Detection")
)
callback()
else:
self.next(callback)