diff --git a/origin.py b/origin.py new file mode 100644 index 0000000..6f98246 --- /dev/null +++ b/origin.py @@ -0,0 +1,190 @@ + +# -*- coding:utf-8 -*- + +""" + +CODE >>> SINCE IN CAIXYPROMISE. +STRIVE FOR EXCELLENT. +CONSTANTLY STRIVING FOR SELF-IMPROVEMENT. +@ by: caixy +@ date: 2021-10-1 + +""" + +import cv2 +import mediapipe as mp + + + +class HandDetector: + """ + 使用mediapipe库查找手。导出地标像素格式。添加了额外的功能。 + 如查找方式，许多手指向上或两个手指之间的距离。而且提供找到的手的边界框信息。 + """ + def __init__(self, mode=False, maxHands=2, detectionCon=0.5, minTrackCon = 0.5): + """ + :param mode: 在静态模式下，对每个图像进行检测 + :param maxHands: 要检测的最大手数 + :param detectionCon: 最小检测置信度 + :param minTrackCon: 最小跟踪置信度 + """ + self.mode = mode + self.maxHands = maxHands + self.modelComplex = False + self.detectionCon = detectionCon + self.minTrackCon = minTrackCon + + # 初始化手部识别模型 + 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 = [] + self.lmList = [] + self.connection = [(1,0,5),(1,0,17),(5,0,17),(2,1,0),(3,2,1),(4,3,2),(0,5,6),(0,5,9),(6,5,9),(5,6,7),(6,7,8),(5,9,13),(5,9,10),(10,9,13),(9,10,11),(10,11,12),(9,13,14),(9,13,17),(14,13,17),(13,14,15),(14,15,16),(13,17,18),(0,17,13),(0,17,18),(17,18,19),(18,19,20)] + + def findHands(self, img, draw=True): + """ + 从图像(BRG)中找到手部。 + :param img: 用于查找手的图像。 + :param draw: 在图像上绘制输出的标志。 + :return: 带或不带图形的图像 + """ + imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) # 将传入的图像由BGR模式转标准的Opencv模式——RGB模式， + self.results = self.hands.process(imgRGB) + + 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): + """ + 查找单手的地标并将其放入列表中像素格式。还可以返回手部周围的边界框。 + :param img: 要查找的主图像 + :param handNo: 如果检测到多只手，则为手部id + :param draw: 在图像上绘制输出的标志。(默认绘制矩形框) + :return: 像素格式的手部关节位置列表；手部边界框 + """ + + xList = [] + yList = [] + bbox = [] + bboxInfo =[] + self.lmList = [] + if self.results.multi_hand_landmarks: + myHand = self.results.multi_hand_landmarks[handNo] + for id, lm in enumerate(myHand.landmark): + h, w, c = img.shape + px, py = int(lm.x * w), int(lm.y * h) + xList.append(px) + yList.append(py) + self.lmList.append([px, py]) + if draw: + cv2.circle(img, (px, py), 5, (255, 0, 255), cv2.FILLED) + xmin, xmax = min(xList), max(xList) + ymin, ymax = min(yList), max(yList) + boxW, boxH = xmax - xmin, ymax - ymin + bbox = xmin, ymin, boxW, boxH + cx, cy = bbox[0] + (bbox[2] // 2), \ + bbox[1] + (bbox[3] // 2) + bboxInfo = {"id": id, "bbox": bbox,"center": (cx, cy)} + + if draw: + cv2.rectangle(img, (bbox[0] - 20, bbox[1] - 20), + (bbox[0] + bbox[2] + 20, bbox[1] + bbox[3] + 20), + (0, 255, 0), 2) + + return self.lmList, bboxInfo + + def fingersUp(self): + """ + 查找列表中打开并返回的手指数。会分别考虑左手和右手 + ：return：竖起手指的列表 + """ + if self.results.multi_hand_landmarks: + myHandType = self.handType() + fingers = [] + # Thumb + if myHandType == "Right": + if self.lmList[self.tipIds[0]][0] > self.lmList[self.tipIds[0] - 1][0]: + fingers.append(1) + else: + fingers.append(0) + else: + if self.lmList[self.tipIds[0]][0] < self.lmList[self.tipIds[0] - 1][0]: + fingers.append(1) + else: + fingers.append(0) + # 4 Fingers + for id in range(1, 5): + if self.lmList[self.tipIds[id]][1] < self.lmList[self.tipIds[id] - 2][1]: + fingers.append(1) + else: + fingers.append(0) + return fingers + + def handType(self): + """ + 检查传入的手部是左还是右 + ：return: "Right" 或 "Left" + """ + if self.results.multi_hand_landmarks: + if self.lmList[17][0] < self.lmList[5][0]: + return "Right" + else: + return "Left" + +class Main: + def __init__(self): + self.camera = cv2.VideoCapture(0,cv2.CAP_DSHOW) + self.camera.set(3, 1280) + self.camera.set(4, 720) + + def Gesture_recognition(self): + while True: + self.detector = HandDetector() + frame, img = self.camera.read() + img = self.detector.findHands(img) + lmList, bbox = self.detector.findPosition(img) + + if lmList: + x_1, y_1 = bbox["bbox"][0], bbox["bbox"][1] + x1, x2, x3, x4, x5 = self.detector.fingersUp() + + if (x2 == 1 and x3 == 1) and (x4 == 0 and x5 == 0 and x1 == 0): + cv2.putText(img, "2_TWO", (x_1, y_1), cv2.FONT_HERSHEY_PLAIN, 3, + (0, 0, 255), 3) + elif (x2 == 1 and x3 == 1 and x4 == 1) and (x1 == 0 and x5 == 0): + cv2.putText(img, "3_THREE", (x_1, y_1), cv2.FONT_HERSHEY_PLAIN, 3, + (0, 0, 255), 3) + elif (x2 == 1 and x3 == 1 and x4 == 1 and x5 == 1) and (x1 == 0): + cv2.putText(img, "4_FOUR", (x_1, y_1), cv2.FONT_HERSHEY_PLAIN, 3, + (0, 0, 255), 3) + elif x1 == 1 and x2 == 1 and x3 == 1 and x4 == 1 and x5 == 1: + cv2.putText(img, "5_FIVE", (x_1, y_1), cv2.FONT_HERSHEY_PLAIN, 3, + (0, 0, 255), 3) + elif x2 == 1 and x1 == 0 and (x3 == 0, x4 == 0, x5 == 0): + cv2.putText(img, "1_ONE", (x_1, y_1), cv2.FONT_HERSHEY_PLAIN, 3, + (0, 0, 255), 3) + elif x1 == 1 and x2 == 1 and (x3 == 0, x4 == 0, x5 == 0): + cv2.putText(img, "8_EIGHT", (x_1, y_1), cv2.FONT_HERSHEY_PLAIN, 3, + (0, 0, 255), 3) + elif x1 == 1 and x5 == 1 and (x3 == 0, x4 == 0, x5 == 0): + cv2.putText(img, "6_SIX", (x_1, y_1), cv2.FONT_HERSHEY_PLAIN, 3, + (0, 0, 255), 3) + elif x1 and (x2 == 0, x3 == 0, x4 == 0, x5 == 0): + cv2.putText(img, "GOOD!", (x_1, y_1), cv2.FONT_HERSHEY_PLAIN, 3, + (0, 0, 255), 3) + cv2.imshow("camera", img) + if cv2.getWindowProperty('camera', cv2.WND_PROP_VISIBLE) < 1: + break + cv2.waitKey(1) + + +if __name__ == '__main__': + Solution = Main() + Solution.Gesture_recognition()