帮我继续写代码，实现一条线双线计数的功能。 while True: # 读取每帧图片 _, im = capture.read() if im is None: break # 缩小尺寸 im = cv2.resize(im, (width // 2, height // 2)) list_bboxs = [] # 更新跟踪器 # 跟踪器传入检测的模型和处理之后的图片 output_image_frame, list_bboxs = objtracker.update(detector, im) # 输出图片 output_image_frame = cv2.add(output_image_frame, color_polygons_image) if len(list_bboxs) > 0:

Certainly! Here's a continuation of the code to implement the line counting functionality:

        # Iterate through each bounding box detected
        for bbox in list_bboxs:
            x, y, w, h = bbox

            # Check if the bounding box intersects with the blue line
            if y + h/2 > h/2 and y + h/2 < h/2 + 20:
                # Increment blue line counter
                blue_line_count += 1

            # Check if the bounding box intersects with the yellow line
            if y + h/2 > h/2 + 70 and y + h/2 < h/2 + 90:
                # Increment yellow line counter
                yellow_line_count += 1

        # Display the counts on the output image
        cv2.putText(output_image_frame, f"Blue Line Count: {blue_line_count}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
        cv2.putText(output_image_frame, f"Yellow Line Count: {yellow_line_count}", (10, 70), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 2)

        # Display the output image
        cv2.imshow("Output", output_image_frame)

        # Break the loop if "q" is pressed
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

# Release the video capture and destroy all windows
capture.release()
cv2.destroyAllWindows()

In this code, we iterate through each bounding box detected (`list_bboxs`) and check if it intersects with the blue or yellow lines. If a bounding box intersects with the blue line, we increment the `blue_line_count` variable. If a bounding box intersects with the yellow line, we increment the `yellow_line_count` variable.

We then display the counts on the output image using `cv2.putText()` and show the output image using `cv2.imshow()`. The loop continues until the "q" key is pressed.

Finally, we release the video capture and destroy all windows.