| import argparse
|
| import os
|
| import cv2
|
| from SpyFishAotearoaDataset import SpyFishAotearoaDataset
|
| import utils.transformers as T
|
| from utils.general_utils import collate_fn
|
| import torch
|
| from tqdm import tqdm
|
| import matplotlib.pyplot as plt
|
| from utils.plot_image_bounding_box import add_bounding_boxes
|
|
|
|
|
| def print_images(img_path, file_name, should_save, output_path):
|
| """
|
| :param img_path: The path of the images
|
| :param file_name: File name of the csv file of the data
|
| :param should_save: Boolean indicate whether to save or not
|
| :param output_path: The output path to save the images
|
| """
|
| dataset = SpyFishAotearoaDataset(img_path, file_name, T.Compose([T.ToTensor()]))
|
|
|
| data_loader = torch.utils.data.DataLoader(
|
| dataset, batch_size=1, shuffle=False, collate_fn=collate_fn
|
| )
|
|
|
| for (images, targets, index) in tqdm(data_loader, position=0, leave=True):
|
| images = list(image for image in images)
|
| targets = [{k: v for k, v in t.items()} for t in targets]
|
|
|
| log_images = images[0]
|
| log_images = log_images.cpu().numpy().transpose(1, 2, 0)
|
| log_images = cv2.cvtColor(log_images, cv2.COLOR_BGR2RGB)
|
|
|
| img = add_bounding_boxes(log_images, targets[0]['labels'], targets[0]["boxes"])
|
|
|
| if should_save:
|
| image_name = dataset.get_image_name(index).split(".jpg")[0]
|
| img.save(os.path.join(output_path, image_name + "_with_labels.jpg"))
|
| else:
|
| plt.imshow(img)
|
| plt.xticks([])
|
| plt.yticks([])
|
| plt.show()
|
|
|
|
|
| def main():
|
| parser = argparse.ArgumentParser()
|
|
|
| parser.add_argument(
|
| "-p",
|
| "--path",
|
| type=str,
|
| default="..\\data",
|
| help="path of the images to print")
|
|
|
| parser.add_argument(
|
| "-s",
|
| "--save",
|
| type=str,
|
| default=True,
|
| help="A boolean indicate if to save the files")
|
|
|
| parser.add_argument(
|
| "-op",
|
| "--output_path",
|
| type=str,
|
| default="..\\output\\images_with_labels",
|
| help="A path to save the images with the boxes"
|
| )
|
|
|
| parser.add_argument(
|
| "-n",
|
| "--file_name",
|
| type=str,
|
| default="test.csv",
|
| help="The name of the csv file"
|
| )
|
|
|
| args = parser.parse_args()
|
|
|
| if args.save and not os.path.isdir(args.output_path):
|
| os.makedirs(args.output_path)
|
|
|
| print_images(args.path, args.file_name, args.save, args.output_path)
|
|
|
|
|
| if __name__ == '__main__':
|
| main()
|
|
|
