1为打开你设备列表的第二个摄像头,以此类推; mpHands = mp.solutions.hands #使用Mediapipe库的手部姿势估计模型 hands = mpHands.Hands(static_image_mode=False, max_num_hands=4, model_complexity=1, min_detection_confidence=0.5, min_tracking_confidence=0.5) #...
thresholded)# 在第300帧后保存手部图像else:hand=segment_hand(gray_frame)ifhandisnotNone:thresholded,hand_segment=hand# 在手部轮廓周围画出轮廓线cv2.drawContours(frame_copy,[hand_segment+(ROI_right,ROI
部分代码: import time from PIL import ImageGrab from cvzone.FaceMeshModule import FaceMeshDetector import numpy as np import cv2 # cv2.waitKey(1) # detector = HandDetector(detectionCon=0.5) cap = cv2.VideoCapture(0) detector = FaceMeshDetector(minDetectionCon=0.4) ...
, 'custom', path='best.pt')# 推理 results = model(frame)# 解析结果 detections = results.xyxy[0].numpy() # 获取检测框 for detection in detections:x1, y1, x2, y2, conf, cls = detection if cls == 0: # 假设0表示“人”，1表示“刀”person_box = [x1, y1, x2, y2]elif...
for i, lm in enumerate(handlms.landmark): xPos = int(lm.x * imgWidth) # 如果直接打印的是lm.x则是比例,可以用比例×图像的横坐标得到图像点的坐标 yPos = int(lm.y * imgHeight) cv2.putText(img, str(i), (xPos-5, yPos-5), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (0, 0, 255), 2)...
classhandDetector():def__init__(self,mode=False,maxhands=2,detectionCon=0.5,trackCon=0.5):""" 初始化参数 :param mode: 是否输入静态图像 :param maxhands: 检测到手的最大数量 :param detectionCon: 检测手的置信度 :param trackCon: 追踪手的置信度 ...
detector = HandDetector(detectionCon=0.7,maxHands=1) wScr, hScr = autopy.screen.size() while True: # 1. Find hand Landmarks success, img = cap.read() img = detector.findHands(img) lmList, bbox = detector.findPosition(img)
雷锋网按：本文为 AI 研习社编译的技术博客，原标题 Finger Detection and Tracking using OpenCV and Python，作者为Jason Brownlee。翻译 | 余杭 Lamaric 校对 | 吴晓曼 审核 | 余杭 详细代码参考：https://github.com/amarlearning/opencv 手指追踪是许多计算机视觉应用的重要特征。在该应用中，使用基于...
import cv2 import mediapipe as mp import time # 打开摄像头 cap = cv2.VideoCapture(0) # 初始化 MediaPipe 手部模块 mpHands = mp.solutions.hands hands = mpHands.Hands(static_image_mode=False, max_num_hands=2, min_detection_confidence=0.5, min_tracking_confidence=0.5) mpDraw = mp.solutions....
首先,我们需要为Python代码导入以下库: import cv2 import mediapipe as mp import time import serial 然后,我们需要创建一个用于处理摄像头数据的类: class HandDetector(): # Constructor of the class with parameters for the measurement def __init__(self, mode=False, maxHands=1, detectionCon=0.5, tra...