yolov5图像拼接代码

以下是YOLOv5中实现图像拼接的代码，使用了Mosaic方法：

def mosaic(self, img, labels):
    # 获取随机的3张图片
    img4, labels4 = self.get_random_data()
    img3, labels3 = self.get_random_data()
    img2, labels2 = self.get_random_data()

    # 将4张图片拼接在一起
    new_image = np.zeros((self.img_size * 2, self.img_size * 2, 3), dtype=np.uint8)
    new_image[0:self.img_size, 0:self.img_size] = img
    new_image[self.img_size:self.img_size * 2, 0:self.img_size] = img2
    new_image[0:self.img_size, self.img_size:self.img_size * 2] = img3
    new_image[self.img_size:self.img_size * 2, self.img_size:self.img_size * 2] = img4

    # 调整标签
    new_labels = []
    for label in labels:
        x1, y1, x2, y2, cls_id = label
        if x1 > self.img_size:
            x1 += self.img_size
            x2 += self.img_size
        if y1 > self.img_size:
            y1 += self.img_size
            y2 += self.img_size
        new_labels.append([x1, y1, x2, y2, cls_id])

    for label in labels2:
        x1, y1, x2, y2, cls_id = label
        x1 += self.img_size
        x2 += self.img_size
        new_labels.append([x1, y1, x2, y2, cls_id])

    for label in labels3:
        x1, y1, x2, y2, cls_id = label
        y1 += self.img_size
        y2 += self.img_size
        new_labels.append([x1, y1, x2, y2, cls_id])

    for label in labels4:
        x1, y1, x2, y2, cls_id = label
        x1 += self.img_size
        y1 += self.img_size
        x2 += self.img_size
        y2 += self.img_size
        new_labels.append([x1, y1, x2, y2, cls_id])

    return new_image, new_labels