how to use opencv to read images and augument data for a tensoflow data loader, the filepath comming from tensorflow data loader is not string
self.original_image = cv2.imread(input_path)TypeError: Can't convert object to 'str' for 'filename'
class augmentImage: def __init__(self, height, width) -> None: self.height = height self.width = width self.orignial_image = None self.target = None self.source = None def __call__(self,image_file ): self.augment(image_file) def augment(self,input_path): # Read the image self.original_image = cv2.imread(input_path) self.image = self.original_image.copy() return tf.cast(cv2.cvtColor(self.image, cv2.COLOR_BGR2RGB), tf.float32)agumentation = augmentImage(256, 256)def load_image_train(image_file): input_image, real_image = agumentation(image_file) input_image, real_image = normalize(input_image, real_image) return input_image, real_imageimg_list = glob.glob('/content/data/dataset_pix2pix/train/*.jpg')train_dataset = tf.data.Dataset.from_tensor_slices(img_list)#(str(PATH / 'train/*.jpg'))train_dataset = train_dataset.map(load_image_train, num_parallel_calls=tf.data.AUTOTUNE)