import os
from ultralytics import YOLO
import cv2
import os


# 定义函数读取YOLO格式的标注文件
def read_yolo_labels(label_path):
    labels = []
    with open(label_path, 'r') as f:
        for line in f:
            parts = line.strip().split()
            if len(parts) < 5:
                continue  # 跳过无效行
            class_id = int(parts[0])
            x_center = float(parts[1])
            y_center = float(parts[2])
            width = float(parts[3])
            height = float(parts[4])
            labels.append({'class': class_id, 'x_center': x_center, 'y_center': y_center, 'width': width, 'height': height})
    return labels

# 定义函数绘制bounding box
def draw_bounding_boxes(image, labels, image_width, image_height):
    for label in labels:
        x_center = label['x_center'] * image_width
        y_center = label['y_center'] * image_height
        width = label['width'] * image_width
        height = label['height'] * image_height
        x_min = int(x_center - width / 2)
        y_min = int(y_center - height / 2)
        x_max = int(x_center + width / 2)
        y_max = int(y_center + height / 2)
        cv2.rectangle(image, (x_min, y_min), (x_max, y_max), (0, 255, 0), 2)
        cv2.putText(image, str(label['class']), (x_min, y_min - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)
    return image


model = YOLO('best.pt')
images_to_annote_path = './imgs_no_labels'
new_label_path = './new_labels'
images_names = os.listdir(images_to_annote_path)
images_path = [os.path.join(images_to_annote_path, img) for img in images_names]
confidence = 0.5

results = []
for i in range(0, len(images_path), 10):
    if i + 10 < len(images_path):
        results += model.predict(images_path[i:i+10])
    else:
        results += model.predict(images_path[i:])


import shutil
shutil.rmtree(new_label_path)
os.mkdir(new_label_path)

for i, result in enumerate(results):
    result.boxes = [box for box in result.boxes if box.conf > confidence]

    result.save_txt(f'./{new_label_path}/{images_names[i].replace(".jpg", ".txt").replace(".png", ".txt").replace(".jpeg", ".txt")}')
    print(f"Saved {images_names[i]}")


# 设置图片和标注文件的路径
image_folder = images_to_annote_path
label_folder = new_label_path


# 遍历图片文件夹,
for image_file in os.listdir(image_folder):
    if image_file.endswith('.jpg') or image_file.endswith('.png') or image_file.endswith('.jpeg'):
        image_path = os.path.join(image_folder, image_file)
        label_file = image_file.split('.')[0] + '.txt'
        label_path = os.path.join(label_folder, label_file)
        if os.path.exists(label_path):
            image = cv2.imread(image_path)
            image_height, image_width, _ = image.shape
            labels = read_yolo_labels(label_path)
            image_with_boxes = draw_bounding_boxes(image, labels, image_width, image_height)
            cv2.imshow('Image', image_with_boxes)
            cv2.waitKey(0)
            cv2.destroyAllWindows()
        else:
            print(f'Label file {label_file} not found.')