multi_hand_landmarks) # results.multi_hand_landmarks 结果如下,其中这个z轴不是真正的归一化或者真实距离,是与第0号关键点(手腕根部)相对的单位,所以这个在另外一个方面这也算是2.5D [landmark { x: 0.2627016007900238 y: 0.6694213151931763 z: 5.427047540251806e-07 } landmark { x: 0.33990585803985596 ...
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_ha...
for hand_no, hand_landmarks in enumerate(results.multi_hand_landmarks): print(f'HAND NUMBER: {hand_no+1}') print('---') for i in range(2): print(f'{mp_hands.HandLandmark(i).name}:') print(f'{hand_landmarks.landmark[mp_hands.HandLandmark(i).value]}') 输出: 代码分解: ...
if result.multi_hand_landmarks: for one_hand in result.multi_hand_landmarks: # 遍历每一个手的坐标信息 # 第一种方式:只画点 # mpHandDrawer.draw_landmarks(image=img, landmark_list=one_hand) # 第二种方式:画出连线 # mpHandDrawer.draw_landmarks(image=img, landmark_list=one_hand, co...
if results.multi_hand_landmarks: for hand_no, hand_landmarks in enumerate(results.multi_hand_landmarks): print(f'HAND NUMBER: {hand_no+1}') print('---') for i in range(2): print(f'{mp_hands.HandLandmark(i).name}:') print(f'{hand_landmarks.land...
for hand_no, hand_landmarks in enumerate(results.multi_hand_landmarks): print(f'HAND NUMBER: {hand_no+1}') print('---') for i in range(2): print(f'{mp_hands.HandLandmark(i).name}:') print(f'{hand_landmarks.landmark[mp_hands.HandLandmark(i).value]}') 输出: 代码分解: ...
for handLms in results.multi_hand_landmarks: for id, lm in enumerate(handLms.landmark): ## 存储0关键点的三个坐标 if id == 0: lst = [lm.x,lm.y,lm.z] h, w, c = img.shape cx, cy = int(lm.x *w), int(lm.y*h) ...
results=hands.process(imgRGB)# 调用process方法处理图像,检测手ifresults.multi_hand_landmarks:# results.multi_hand_landmarks是一个列表,列表中的每个元素代表一个手。每个手有20个位置标记。forhand_landmarkinresults.multi_hand_landmarks:mp_draw.draw_landmarks(img,hand_landmark,mp_hands.HAND_CONNECT...
ObjectDetection子图仅在请求时运行，例如以任意帧速率或由特定信号触发。更具体地讲，在将视频帧传递到...
for hand_landmarks in results.multi_hand_landmarks: for lm in hand_landmarks.landmark: # 获取每个点的坐标 x = lm.x * image_width y = lm.y * image_height # 画关键点 mp_drawing.draw_landmarks( annotated_image, hand_landmarks, ...