94 lines
3.6 KiB
Python
94 lines
3.6 KiB
Python
import cv2
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import os
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import sys
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import time
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import argparse
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# 添加父目录到系统路径
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current_dir = os.path.dirname(os.path.abspath(__file__))
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project_root = os.path.dirname(current_dir)
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sys.path.append(project_root)
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from utils.detect_bar import detect_bar_top_distance
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def process_image(image_path, save_dir=None, show_steps=False, observe=False, delay=800):
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"""处理单张图像"""
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print(f"处理图像: {image_path}")
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# 读取图片
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image = cv2.imread(image_path)
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if image is None:
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print(f"错误：无法读取图像 '{image_path}'")
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return None
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# 检测栏杆到顶部的距离
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start_time = time.time()
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top_distance = detect_bar_top_distance(image, observe=observe, delay=delay)
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processing_time = time.time() - start_time
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# 输出结果
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if top_distance is not None:
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print(f"处理时间: {processing_time:.3f}秒")
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print(f"栏杆顶部到图像顶部的距离: {top_distance}像素")
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# 如果要显示结果
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if show_steps:
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# 在图像上标记栏杆顶部位置
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result_image = image.copy()
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cv2.line(result_image, (0, top_distance), (result_image.shape[1], top_distance), (0, 255, 0), 2)
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cv2.putText(result_image, f"Distance: {top_distance}px", (10, 30),
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cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)
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# 显示结果
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cv2.imshow("Bar Detection Result", result_image)
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cv2.waitKey(delay)
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# 如果指定了保存目录，保存结果
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if save_dir:
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if not os.path.exists(save_dir):
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os.makedirs(save_dir)
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# 在图像上标记栏杆顶部位置（如果之前没有标记）
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if not show_steps:
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result_image = image.copy()
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cv2.line(result_image, (0, top_distance), (result_image.shape[1], top_distance), (0, 255, 0), 2)
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cv2.putText(result_image, f"Distance: {top_distance}px", (10, 30),
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cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)
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# 构建保存路径
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base_name = os.path.basename(image_path)
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save_path = os.path.join(save_dir, f"result_{base_name}")
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cv2.imwrite(save_path, result_image)
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print(f"结果已保存至: {save_path}")
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else:
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print("未能检测到栏杆")
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# 关闭所有窗口
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if show_steps:
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cv2.destroyAllWindows()
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return top_distance
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def main():
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parser = argparse.ArgumentParser(description='灰色栏杆检测演示程序')
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parser.add_argument('--input', default='./res/bar/image_20250525_085240.png', type=str, help='输入图像的路径')
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parser.add_argument('--output', default='./res/bar/result', type=str, help='输出结果的保存目录')
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parser.add_argument('--show', default=True, action='store_true', help='显示处理结果')
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parser.add_argument('--observe', default=True, action='store_true', help='显示中间处理步骤')
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parser.add_argument('--delay', type=int, default=800, help='显示中间结果的延迟时间(ms)')
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args = parser.parse_args()
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# 检查输入路径
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if not os.path.exists(args.input):
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print(f"错误：文件 '{args.input}' 不存在")
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return
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# 获取输出目录
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output_dir = args.output if args.output else os.path.dirname(args.input)
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# 处理图像
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process_image(args.input, output_dir, args.show, args.observe, args.delay)
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if __name__ == "__main__":
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main() |