import os from pathlib import Path import cv2 from dto.annotationClass import AnnotationClass from dto.imageLabel import ImageLabel from preprocessing import read_labels from matplotlib import pyplot as plt from constants import datasets_dir, prefix annotation_classes = AnnotationClass.read_json() cur_dataset = os.path.join(datasets_dir, f'{prefix}2024-06-18', 'train') images_dir = os.path.join(cur_dataset, 'images') labels_dir = os.path.join(cur_dataset, 'labels') for f in os.listdir(images_dir)[35247:]: image_path = os.path.join(images_dir, f) labels_path = os.path.join(labels_dir, f'{Path(f).stem}.txt') img = ImageLabel( image_path=image_path, image=cv2.imread(image_path), labels_path=labels_path, labels=read_labels(labels_path) ) img.visualize(annotation_classes) print(f'visualizing {image_path}') plt.close() key = input('Press any key to continue')