人事处网站开发文献综述,哪个网站平面设计做的好,做汽车导航仪在什么网站找客户,用什么做网站step: 1.opencv 获取视频流 2.在画面上画一个方块 3.通过mediapipe获取手指关键点坐标 4.判断手指是否在方块上 5.若在方块上#xff0c;方块跟着手指移动
mediapipe网站介绍#xff1a;Hands - mediapipe (chuoling.github.io) 已上传到GitHub #xff1a; plumqm/OpenC…step: 1.opencv 获取视频流 2.在画面上画一个方块 3.通过mediapipe获取手指关键点坐标 4.判断手指是否在方块上 5.若在方块上方块跟着手指移动
mediapipe网站介绍Hands - mediapipe (chuoling.github.io) 已上传到GitHub plumqm/OpenCV-project: 通过20个项目学习计算机视觉(Learn computer vision through 20 projects) (github.com) author qian
date 2024-10-07step:
1.opencv 获取视频流
2.在画面上画一个方块
3.通过mediapipe获取手指关键点坐标
4.判断手指是否在方块上
5.若在方块上方块跟着手指移动import cv2
import numpy as npimport mediapipe as mpmp_drawing mp.solutions.drawing_utils
mp_drawing_styles mp.solutions.drawing_styles
mp_hands mp.solutions.handshands mp_hands.Hands(static_image_modeTrue,max_num_hands2,min_detection_confidence0.5)# 1.opencv 获取视频流
cap cv2.VideoCapture(0)#获取画面宽和高
width int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))# 方块相关参数
square_x 100
square_y 100
square_width 100
square_color (255,0,0)
L1 0
L2 0
on_square Falsewhile True:# 读取每一帧ret, frame cap.read()# 处理图像frame cv2.flip(frame, 1) # 镜像# mediapipe处理frame.flags.writeable Falseframe cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)results hands.process(frame)frame.flags.writeable True frame cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)# 判断是否出现手if results.multi_hand_landmarks:# 解析遍历每一双手for hand_landmarks in results.multi_hand_landmarks:# 绘制21个关键点mp_drawing.draw_landmarks(frame,hand_landmarks,mp_hands.HAND_CONNECTIONS,mp_drawing_styles.get_default_hand_landmarks_style(),mp_drawing_styles.get_default_hand_connections_style())# 保存21个xy坐标x_list [landmark.x for landmark in hand_landmarks.landmark]y_list [landmark.y for landmark in hand_landmarks.landmark]# 获取食指指尖index_finger_X int(x_list[8] * width)index_finger_Y int(y_list[8] * height)# 获取中指指尖middle_finger_X int(x_list[12] * width)middle_finger_Y int(y_list[12] * height)# 计算食指中指指尖距离finger_len np.sqrt((middle_finger_X - index_finger_X)**2 (middle_finger_Y - index_finger_Y)**2)# cv2.circle(frame, (index_finger_X,index_finger_Y)# ,20 ,(255,0,255) ,-1)# 手指是否在方块上if square_x x_list[4] square_x square_width and square_y y_list[4] square_y square_width:square_x (x_list[4] - square_x) / 10square_y (y_list[4] - square_y) / 10# 如果距离小于30算激活if finger_len 30:# 判断食指指尖在不在方块上if (square_x index_finger_X square_x square_width and square_y index_finger_Y square_y square_width):if on_square False :L1 abs(index_finger_X - square_x)L2 abs(index_finger_Y - square_y)on_square Truesquare_color (255,0,255)else :passif on_square True:square_x index_finger_X - L1square_y index_finger_Y - L2else :on_square Falsesquare_color (255,0,0)# 2. 在画面上画一个方块# cv2.rectangle(frame, (square_x, square_y), (square_xsquare_width, square_ysquare_width), (255, 0, 0), -1)# 画半透明方块overlay frame.copy()cv2.rectangle(frame, (square_x, square_y), (square_xsquare_width, square_ysquare_width), square_color, -1)frame cv2.addWeighted(overlay,0.5,frame,0.5,0)# 显示cv2.imshow(Virtual drag, frame)if cv2.waitKey(10) 0xFF 27:break cap.release()
cv2.destroyAllWindows()
