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from ..transforms.transforms import *
class TrainAugmentation:
def __init__(self, size, mean=0, std=1.0):
"""
Args:
size: the size the of final image.
mean: mean pixel value per channel.
"""
self.mean = mean
self.size = size
self.augment = Compose([
ConvertFromInts(),
PhotometricDistort(),
Expand(self.mean),
RandomSampleCrop(),
RandomMirror(),
ToPercentCoords(),
Resize(self.size),
SubtractMeans(self.mean),
lambda img, boxes=None, labels=None: (img / std, boxes, labels),
ToTensor(),
])
def __call__(self, img, boxes, labels):
"""
Args:
img: the output of cv.imread in RGB layout.
boxes: boundding boxes in the form of (x1, y1, x2, y2).
labels: labels of boxes.
"""
return self.augment(img, boxes, labels)
class TestTransform:
def __init__(self, size, mean=0.0, std=1.0):
self.transform = Compose([
ToPercentCoords(),
Resize(size),
SubtractMeans(mean),
lambda img, boxes=None, labels=None: (img / std, boxes, labels),
ToTensor(),
])
def __call__(self, image, boxes, labels):
return self.transform(image, boxes, labels)
class PredictionTransform:
def __init__(self, size, mean=0.0, std=1.0):
self.transform = Compose([
Resize(size),
SubtractMeans(mean),
lambda img, boxes=None, labels=None: (img / std, boxes, labels),
ToTensor()
])
def __call__(self, image):
image, _, _ = self.transform(image)
return image |