def __call__(self, collection: dr.Collection = None) -> dr.Collection:
assert collection, "collection cannot be None"
background: components.Background = cz.first(
collection.components_of(components.Background)
)
objects: tp.Iterable[components.Object] = collection.components_of(components.Object)
image_h: int = background.image.shape[0]
image_w: int = background.image.shape[1]
for obj in objects:
obj_h: int = obj.image.shape[0]
obj_w: int = obj.image.shape[1]
obj.x = np.random.randint(
low = 0,
high = image_w - obj_w,
)
obj.y = np.random.randint(
low = 0,
high = image_h - obj_h,
)
return collection
def __call__(self, collection: dr.Collection = None) -> dr.Collection:
assert collection, "collection cannot be None"
if self.objects:
if isinstance(self.objects, int):
self.objects = dict(
w = self.objects,
h = self.objects,
)
elif isinstance(self.objects, (list, tuple)):
self.objects = dict(
w = self.objects[0],
h = self.objects[1],
)
for obj in collection.components_of(components.Object):
obj: components.Object
w = self.objects.get("w", obj.image.shape[1])
h = self.objects.get("h", obj.image.shape[0])
if hasattr(h, "__iter__"):
h = np.random.randint(low = h[0], high = h[1])
if hasattr(w, "__iter__"):
w = np.random.randint(low = w[0], high = w[1])
obj.image = cv2.resize(obj.image, (w, h))
if self.background:
if isinstance(self.background, int):
self.background = dict(
w = self.background,
h = self.background,
)
elif isinstance(self.background, (list, tuple)):
self.background = dict(
w = self.background[0],
h = self.background[1],
)
background = collection.first_component_of(components.Background)
w = self.background.get("w", background.image.shape[1])
h = self.background.get("h", background.image.shape[0])
if hasattr(h, "__iter__"):
h = np.random.randint(low = h[0], high = h[1])
if hasattr(w, "__iter__"):
w = np.random.randint(low = w[0], high = w[1])
background.image = cv2.resize(background.image, (w, h))
return collection
def __call__(self, collection: dr.Collection = None) -> dr.Collection:
assert collection, "collection cannot be None"
pv = components.PascalVoc(
background = collection.first_component_of(components.Background),
objects = list(collection.components_of(components.Object)),
)
return collection.add(
dr.Entity([pv]
))
def __call__(self, collection: dr.Collection = None) -> dr.Collection:
assert collection, "collection cannot be None"
for obj in collection.components_of(components.Object):
obj: components.Object
angle = np.random.uniform(
low = self.angles[0],
high = self.angles[1],
)
obj.image = dr.utils.rotate_bound(obj.image, angle)
return collection
def __call__(self, collection: dr.Collection = None) -> dr.Collection:
assert collection, "collection cannot be None"
for obj in collection.components_of(components.Object):
obj: components.Object
scale = np.random.uniform(low = self.min, high = self.max)
w = int(obj.image.shape[1] * scale)
h = int(obj.image.shape[0] * scale)
obj.image = cv2.resize(obj.image, (w, h))
return collection
def __call__(self, collection: dr.Collection = None) -> dr.Collection:
assert collection, "collection cannot be None"
if self.objects:
for obj in collection.components_of(components.Object):
obj: components.Object
angle = np.random.choice(self.angles)
obj.image = dr.utils.rotate_bound(obj.image, angle)
if self.background:
background = collection.first_component_of(components.Background)
angle = np.random.choice(self.angles)
background.image = dr.utils.rotate_bound(background.image, angle)
return collection
def __call__(self, collection: dr.Collection = None) -> dr.Collection:
assert collection, "collection cannot be None"
augmenter: iaa.Augmenter = iaa.Multiply(mul = (0.075, 1.0), per_channel=True)
if self.objects:
for obj in collection.components_of(components.Object):
obj: components.Object
obj.image[..., :3] = augmenter.augment_image(obj.image[..., :3])
if self.background:
background = collection.first_component_of(components.Background)
background.image[..., :3] = augmenter.augment_image(background.image[..., :3])
return collection