#导入opencv-python的cv2模块importcv2#导入mediapipe模块importmediapipeasmp#获取绘制特征点的工具类mp_drawing = mp.solutions.drawing_utils#这个应该是设置绘制时的样式的mp_drawing_styles = mp.solutions.drawing_styles#获取手部识别模型的类mp_hands = mp.solutions.hands#创建一个识别模型类的对象供我们使用hands...
(base_options=base_options, num_hands=2) detector = vision.HandLandmarker.create_from_options(options) # 加载图片 image = mp.Image.create_from_file("image.jpg") # 人手坐标点检测 detection_result = detector.detect(image) # 可视化人手检测 annotated_image = draw_landmarks_on_image(image....
cap = cv2.VideoCapture(file) myhands= mp.solutions.hands hands = myhands.Hands() myDraw = mp.solutions.drawing_utils frame = 0 while(True): ret, img = cap.read() img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) results = hands.process(img_rgb) if (results.multi_hand_landmarks): ...
self.mpHands = mp.solutions.hands self.hands = self.mpHands.Hands(self.mode, self.maxHands, self.modelComplex, self.detectionCon, self.minTrackCon) self.mpDraw = mp.solutions.drawing_utils # 初始化绘图器 self.tipIds = [4, 8, 12, 16, 20] # 指尖列表 self.fingers = [] # 存储手的...
importtimeimportcv2importmediapipeasmpclassHandDetector():def__init__(self,mode=False,max_hands=2,detection_conf=0.5,track_conf=0.5):self.mode=mode self.maxHands=max_hands self.detection_conf=detection_conf self.track_conf=track_conf self.mp_hands=mp.solutions.hands ...
mp_hands = mp.solutions.hands pTime = 0 detector = mp_hands.Hands(min_detection_confidence=0.5) while True: ret, frame = cap.read() cTime = time.time() fps = 1 / (cTime - pTime) pTime = cTime frame_RGB = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) ...
Mediapipe 提供 solution API 来实现快速检测, 不过这种方式在2023年5月10日停止更新了,不过目前还可以使用,可通过mediapose.solutions.pose.Pose来实现,配置参数如下 import cv2 import numpy as np import mediapipe as mp def main(): FILE_PATH = 'data/1.png' ...
#定义并引用mediapipe中的hands模块 mpHands = mp.solutions.hands hands = mpHands.Hands() mpDraw = mp.solutions.drawing_utils while True: success, img = cap.read() imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) #cv2图像初始化 results = hands.process(imgRGB) # print(results.multi_hand_...
class handDetector(): def __init__(self, mode=False, maxHands=2, detectionCon=0.5, trackCon=0.5): self.mode = mode self.maxHands = maxHands self.detectionCon = detectionCon self.trackCon = trackCon self.mpHands = mp.solutions.hands ...
# Coding BIGBOSSyifi# Datatime:2022/4/24 21:41# Filename:HandsDetector.py# Toolby: PyCharmimportcv2importmediapipeasmpimporttime cap = cv2.VideoCapture(0)#OpenCV摄像头调用:0=内置摄像头(笔记本) 1=USB摄像头-1 2=USB摄像头-2#定义并引用mediapipe中的hands模块mpHands = mp.solutions.hands ...