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python深色版本 import os import cv2 import numpy as np def load_segmentation_data(image_dir, mask_dir): images = [] masks = [] for filename in os.listdir(image_dir): if filename.endswith('.jpg') or filename.endswith('.png'): # 加载图像 img_path = os.path.join(image_dir, filename) image = cv2.imread(img_path) # 加载对应的mask mask_filename = filename.replace('.jpg', '.png') mask_path = os.path.join(mask_dir, mask_filename) mask = cv2.imread(mask_path, cv2.IMREAD_GRAYSCALE) images.append(image) masks.append(mask) return images, masks # 假设图像和mask分别存储在'image'和'mask'目录下 image_dir = 'path_to_your_image_directory' mask_dir = 'path_to_your_mask_directory' images, masks = load_segmentation_data(image_dir, mask_dir) # 显示第一张图像及其对应的mask cv2.imshow('Image', images[0]) cv2.imshow('Mask', masks[0]) cv2.waitKey(0) cv2.destroyAllWindows()

python深色版本 import os import cv2 from xml.etree import ElementTree as ET def parse_annotation(xml_file): tree = ET.parse(xml_file) root = tree.getroot() boxes = [] labels = [] for obj in root.findall('object'): label = obj.find('name').text bndbox = obj.find('bndbox') xmin = int(bndbox.find('xmin').text) ymin = int(bndbox.find('ymin').text) xmax = int(bndbox.find('xmax').text) ymax = int(bndbox.find('ymax').text) boxes.append([xmin, ymin, xmax, ymax]) labels.append(label) return boxes, labels def load_detection_data(image_dir, annotation_dir): images = [] annotations = [] for filename in os.listdir(image_dir): if filename.endswith('.jpg') or filename.endswith('.png'): # 加载图像 img_path = os.path.join(image_dir, filename) image = cv2.imread(img_path) # 加载对应的annotation annotation_filename = filename.replace('.jpg', '.xml').replace('.png', '.xml') annotation_path = os.path.join(annotation_dir, annotation_filename) boxes, labels = parse_annotation(annotation_path) images.append(image) annotations.append((boxes, labels)) return images, annotations # 假设图像和标注文件分别存储在'image'和'annotation'目录下 image_dir = 'path_to_your_image_directory' annotation_dir = 'path_to_your_annotation_directory' images, annotations = load_detection_data(image_dir, annotation_dir) # 显示第一张图像及其对应的标注框 img = images[0] boxes, labels = annotations[0] for box, label in zip(boxes, labels): cv2.rectangle(img, (box[0], box[1]), (box[2], box[3]), (0, 255, 0), 2) cv2.putText(img, label, (box[0], box[1] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (36, 255, 12), 2) cv2.imshow('Image with Annotations', img) cv2.waitKey(0) cv2.destroyAllWindows()