Opencv项目实战：20 单手识别数字0到5.zip

import cv2 import mediapipe as mp import math import time class handDetector: def __init__(self, mode=False, maxHands=2, detectionCon=0.5, minTrackCon=0.5): self.mode = mode self.maxHands = maxHands self.detectionCon = detectionCon self.minTrackCon = minTrackCon self.mpHands = mp.solutions.hands self.hands = self.mpHands.Hands(static_image_mode=self.mode, max_num_hands=self.maxHands, min_detection_confidence=self.detectionCon, min_tracking_confidence=self.minTrackCon) self.mpDraw = mp.solutions.drawing_utils self.tipIds = [4, 8, 12, 16, 20] self.fingers = [] self.lmList = [] def findHands(self, img, draw=True): imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) self.results = self.hands.process(imgRGB) # print(results.multi_hand_landmarks) if self.results.multi_hand_landmarks: for handLms in self.results.multi_hand_landmarks: if draw: self.mpDraw.draw_landmarks(img, handLms, self.mpHands.HAND_CONNECTIONS) return img def findPosition(self, img, handNo=0, draw=True): self.lmList=[] bbox = 0 if self.results.multi_hand_landmarks: myHand = self.results.multi_hand_landmarks[handNo] xList = [] yList = [] for id, lm in enumerate(myHand.landmark): # print(id, lm) h, w, c = img.shape cx, cy = int(lm.x * w), int(lm.y * h) xList.append(cx) yList.append(cy) # print(id, cx, cy) self.lmList.append([id, cx, cy]) if draw: cv2.circle(img, (cx, cy), 5, (255, 0, 255), cv2.FILLED) xmin, xmax = min(xList), max(xList) ymin, ymax = min(yList), max(yList) bbox = xmin, ymin, xmax, ymax if draw: cv2.rectangle(img, (xmin - 20, ymin - 20), (xmax + 20, ymax + 20), (0, 255, 0), 2) return self.lmList, bbox def fingersUp(self): fingers = [] # Thumb if self.lmList[self.tipIds[0]][1] > self.lmList[self.tipIds[0] - 1][1]: fingers.append(1) else: fingers.append(0) # Fingers for id in range(1, 5): if self.lmList[self.tipIds[id]][2] < self.lmList[self.tipIds[id] - 2][2]: fingers.append(1) else: fingers.append(0) # totalFingers = fingers.count(1) return fingers def findDistance(self, p1, p2, img=None): x1, y1 = self.lmList[p1][1:] x2, y2 = self.lmList[p2][1:] cx, cy = (x1 + x2) // 2, (y1 + y2) // 2 length = math.hypot(x2 - x1, y2 - y1) info = (x1, y1, x2, y2, cx, cy) if img is not None: cv2.circle(img, (x1, y1), 15, (255, 0, 255), cv2.FILLED) cv2.circle(img, (x2, y2), 15, (255, 0, 255), cv2.FILLED) cv2.line(img, (x1, y1), (x2, y2), (255, 0, 255), 3) cv2.circle(img, (cx, cy), 15, (255, 0, 255), cv2.FILLED) return length, info, img else: return length, info def main(): pTime = 0 cTime = 0 cap = cv2.VideoCapture(0) detector = handDetector() while True: success, img = cap.read() img = detector.findHands(img) lmList, bbox = detector.findPosition(img) if len(lmList) != 0: print(lmList[4]) cTime = time.time() fps = 1 / (cTime - pTime) pTime = cTime cv2.putText(img, str(int(fps)), (10, 70), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 255), 3) cv2.imshow("Image", img) k=cv2.waitKey(1) if k==27: break if __name__ == "__main__": main()