image_path, mask_path = self.dataset[item] image = cv2.imread(image_path) mask = cv2.imread(mask_path) if self.is_train: image, mask = reset_image(image, mask, 416, True) if random.random() < 0.5: image = sp_noise(image, 0.005) if random.random() < 0.5: image = randon_crop(image) if random.random() < 0.5: image = randomly_adjust_brightness(image, random.randint(-20, 20), random.randint(-20, 20)) image = self.seq.augment_images([image])[0] if random.random() < 0.5: image = self.fliplr.augment_images([image])[0] mask = self.fliplr.augment_images([mask])[0] if random.random() < 0.5: aff = self.aff.to_deterministic() image = aff.augment_images([image])[0] mask = aff.augment_images([mask])[0] # mask = self.aff.deterministic else: image, mask = square_picture(image, mask, 416) mask = mask[:,:,0] mask_t = numpy.zeros((2,416,416),dtype=numpy.uint8) condition = mask==1 mask_t[0,condition]=1 condition = mask == 2 mask_t[1, condition] = 1
时间: 2023-06-25 07:06:16 浏览: 29
这段代码是一个数据加载器的代码,用于加载图像和相应的掩膜。如果 `is_train` 为 True,则进行各种数据增强操作,例如随机裁剪、加噪声、随机调整亮度等。如果 `is_train` 为 False,则将图像和掩膜调整为相同大小并返回。最后,将掩膜转换为一个二维数组,其中第一维表示是否存在物体(背景或前景),第二维和第三维表示图像的尺寸。掩膜中值为1表示前景,值为2表示背景。