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rain snow
Asked: 2025-03-03 20:18:33 +0800 CST

在手部标志之间画线

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这是我使用 mediapipe 绘制地标的代码

import cv2
import time
import mediapipe as mp

mp_holistic = mp.solutions.holistic

holistic_model = mp_holistic.Holistic(
    min_detection_confidence=0.5,
    min_tracking_confidence=0.5
)

# Initializing the drawing utils for drawing the facial landmarks on image
mp_drawing = mp.solutions.drawing_utils

# (0) in VideoCapture is used to connect to your computer's default camera
capture = cv2.VideoCapture(0)

# Initializing current time and precious time for calculating the FPS
previousTime = 0
currentTime = 0

while capture.isOpened():
    # capture frame by frame
    ret, frame = capture.read()

    # resizing the frame for better view
    frame = cv2.resize(frame, (800, 600))

    # Converting the from BGR to RGB
    image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

    # Making predictions using holistic model
    # To improve performance, optionally mark the image as not writeable to
    # pass by reference.
    image.flags.writeable = False
    results = holistic_model.process(image)
    image.flags.writeable = True

    # Converting back the RGB image to BGR
    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)

    # Drawing the Facial Landmarks
    # mp_drawing.draw_landmarks(
    #     image,
    #     results.face_landmarks,
    #     mp_holistic.FACEMESH_CONTOURS,
    #     mp_drawing.DrawingSpec(
    #         color=(255, 0, 255),
    #         thickness=1,
    #         circle_radius=1
    #     ),
    #     mp_drawing.DrawingSpec(
    #         color=(0, 255, 255),
    #         thickness=1,
    #         circle_radius=1
    #     )
    # )

    # Drawing Right hand Land Marks
    mp_drawing.draw_landmarks(
        image,
        results.right_hand_landmarks,
        mp_holistic.HAND_CONNECTIONS
    )
    for landmark in mp_holistic.HandLandmark:
        print(landmark,landmark.value)

    # Drawing Left hand Land Marks
    mp_drawing.draw_landmarks(
        image,
        results.left_hand_landmarks,
        mp_holistic.HAND_CONNECTIONS
    )

    # Calculating the FPS
    currentTime = time.time()
    fps = 1 / (currentTime - previousTime)
    previousTime = currentTime

    # Displaying FPS on the image
    cv2.putText(image, str(int(fps)) + " FPS", (10, 70), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0), 2)

    # Display the resulting image
    cv2.imshow("Facial and Hand Landmarks", image)

    # Enter key 'q' to break the loop
    if cv2.waitKey(5) & 0xFF == ord('q'):
        break

# When all the process is done
# Release the capture and destroy all windows
capture.release()
cv2.destroyAllWindows()

适用于左手和右手，但我的目标是：在手之间画直线，为了理解我的问题，让我们讨论以下图像：

1

从图中我们可以说，例如，双手之间的线应该是完全水平的（因此角度应该为零，就好像我们考虑以下方程：

2

很容易说，为了成为完美的水平线，y 坐标应该彼此相等，所以请帮我检测如何确定坐标以及如何在两点之间画线？由于 cv2.line 存在，绘制很容易，但是坐标呢？

python

1 个回答

  1. Best Answer

    您正在使用内置的 Mediapipe 函数draw_landmarks来处理所有绘图。此函数将图像、规范化的地标列表和连接作为输入。但是，NormalizedLandmarkListMediapipe 中的类型不支持合并多个地标列表，因此很难将双手的地标传递给该函数并找到连接。

    另一种方法是从手部标志中提取坐标，然后使用cv2.line您提到的方法绘制一条线。以下是实现此方法的代码：

        right_hand_landmarks = results.right_hand_landmarks
    left_hand_landmarks = results.left_hand_landmarks
    
    # try to render a line if both hands are detected
    if right_hand_landmarks and left_hand_landmarks:
    
        # find the position of wrist landmark (as it is normalized, it should multiplied by width and height for x and y respectively)
        right_wrist = np.array([right_hand_landmarks.landmark[0].x * image.shape[1], right_hand_landmarks.landmark[0].y * image.shape[0]]).astype("int")
        left_wrist = np.array([left_hand_landmarks.landmark[0].x * image.shape[1], left_hand_landmarks.landmark[0].y * image.shape[0]]).astype("int")
        
        # draw a line between two wrists
        cv2.line(image, right_wrist, left_wrist, color=(255,255,255), thickness=3)

    如果您想选择除之外的其他地标wrist，请点击此链接查看地标索引。

    • 2

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