def create_aug_pipeline_val(input_size):
"""Image Augmentation Pipeline for Validation/Test Set."""
p_val = Pipeline()
# # Center Crop
# p_val.crop_centre(probability=1, percentage_area=0.9)
# Resize the image to the desired input size of the model
p_val.resize(probability=1, width=input_size[0], height=input_size[1])
return p_val
def create_aug_pipeline_train(input_size):
"""Image Augmentation Pipeline for Training Set."""
p_train = Pipeline()
# Random crop
p_train.add_operation(CropPercentageRange(probability=1, min_percentage_area=0.8, max_percentage_area=1, centre=False))
# Rotate the image by either 90, 180, or 270 degrees randomly
p_train.rotate_random_90(probability=0.5)
# Flip the image along its vertical axis
p_train.flip_top_bottom(probability=0.5)
# Flip the image along its horizontal axis
p_train.flip_left_right(probability=0.5)
# Random change brightness of the image
p_train.random_brightness(probability=0.5, min_factor=0.9, max_factor=1.1)
# Random change saturation of the image
p_train.random_color(probability=0.5, min_factor=0.9, max_factor=1.1)
# Resize the image to the desired input size of the model
p_train.resize(probability=1, width=input_size[0], height=input_size[1])
return p_train
# p.flip_top_bottom(probability=0.5)
#
# # 随机90， 180， 270 度旋转
# p.rotate_random_90(probability=0.75)
#
# # 随机20度内旋转，不变形, 四角填充黑色，图片大小不变
# p.rotate_without_crop(probability=0.5, max_left_rotation=20, max_right_rotation=20)
#
# # 随机20度内旋转，不变形, 四角填充黑色，图片大小调整
# p.rotate_without_crop(probability=0.5, max_left_rotation=20, max_right_rotation=20, expand=True)
#
# # 随机剪切, 中心不变
# p.crop_by_size(probability=0.5, width=100, height=100)
#
# # 随机剪切，中心变化，可调节剪切比例
# p.crop_random(probability=0.5, percentage_area=0.8)
#
# # 随机20%缩放，大小不变，图片缩小时以黑色填充
# p.zoom(probability=0.5, min_factor=0.8, max_factor=1.2)
# resize
p.resize(probability=1, width=256, height=256)
# execute and sample from the pipeline
time1 = time.time()
num_of_samples = 14200
p.sample(num_of_samples)
time2 = time.time()
print("time cost = " + str(time2 - time1) + "s")
