if results.multi_hand_landmarks: for hand_no, hand_landmarks in enumerate(results.multi_hand_landmarks): mp_drawing.draw_landmarks(image = img_copy, landmark_list = hand_landmarks, connections = mp_hands.HAND_CONNECTIONS) fig = plt.figure(figsize = [10, 10]) plt.title("Resultant ...
results = hands.process(image) # Draw the hand annotations on the image. image.flags.writeable =True image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) ifresults.multi_hand_landmarks: forhand_landmarksinresults.multi_hand_landmarks: mp_drawing.draw_landmarks( image, hand_landmarks, mp_han...
for detected_object in results.detected_objects: mp_drawing.draw_landmarks(image, detected_object.landmarks_2d, mp_objectron.BOX_CONNECTIONS) mp_drawing.draw_axis(image, detected_object.rotation, detected_object.translation) cv2.imshow('MediaPipe Objectron', cv2.flip(image, 1)) if cv2.waitKey(...
pose_landmarks_proto = landmark_pb2.NormalizedLandmarkList() pose_landmarks_proto.landmark.extend([ landmark_pb2.NormalizedLandmark(x=landmark.x, y=landmark.y, z=landmark.z) for landmark in pose_landmarks]) solutions.drawing_utils.draw_landmarks( annotated_image, pose_landmarks_proto...
landmarks_3d:对象的3D边界框的3D地标。界标坐标表示在摄像机坐标系中。 rotation :从对象坐标系到摄像机坐标系的旋转矩阵。 translation :从对象坐标系到摄像机坐标系的平移向量。 scale:对象的相对比例沿x,y和z方向。 获取到results后,我们就可以遍历检测的结果,使用mp_drawing.draw_landmarks函数对检测到的图片...
cx,cy=int(lm.x*w),int(lm.y*h)#ifid==0:cv2.circle(img,(cx,cy),3,(255,0,255),cv2.FILLED)mpDraw.draw_landmarks(img,handLms,mpHands.HAND_CONNECTIONS)cTime=time.time()fps=1/(cTime-pTime)pTime=cTime cv2.putText(img,str(int(fps)),(10,70),cv2.FONT_HERSHEY_PLAIN,3,(255,0...
right_hand_landmarks, mp_holistic.HAND_CONNECTIONS) 前面mp_drawing=mp.solutions.drawing_utils,draw_landmarks()参数比较多,我挑几个重要的翻译出来。 draw_landmarks参数: image:表示为 numpy ndarray 的三通道 RGB 图像。 地标列表:要在其上注释的规范化地标列表原始消息 图片。 connections:地标索引元组...
最后,借助mp_drawing.draw_landmarks函数,我们将在图像上绘制地标。 是时候使用 matplotlib 绘制图像了,所以首先,我们将给出图形大小(此处为 width-10 和 height-10),然后在最后绘制,imshow将BGR 格式转换为 RGB 格式后的图像使用函数,因为对于 RGB 格式更有意义。 结论 在整个管道中,我们首先初始化模型,然后读取...
mp_drawing.draw_landmarks(image = img_copy, landmark_list = hand_landmarks, connections = mp_hands.HAND_CONNECTIONS) fig = plt.figure(figsize = [10, 10]) plt.title("Resultant Image");plt.axis('off');plt.imshow(img_copy[:,:,::-1]);plt.show() ...
使用绘图工具中的 draw_landmarks 函数在图像上绘制检测到的地标。 显示生成的图像。 Python3实现 # (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 ...