人生意义在何
虚无、空洞、付出了所有到头来都是一个笑话
这世间或许太过肮脏，而我一直都在自欺欺人。生活从来只是你一个人的事情，任何将寄托放到别人身上的行为终将自毁前程
无休止的浮躁，早已消磨了最初那个踏踏实实的刘桢，自己褪掉了所有盔甲，再想重拾本心何其艰难
"""
当前我们使用Mediapipe的解决方案
solutions pose /hand / face / selfie_segmentation
"""
import cv2
import mediapipe as mp
class Hand:
def __init__(self):
mpHands = mp.solutions.hands
self.hands = mpHands.Hands()
self.img = None
# 保存左手关键点
self.leftLandmark = []
def process(self, img):
self.img = img
# 绘制关键点样式 获取关键点
self.drawLineStyle()
# 如果没有检测到关键点不需要继续执行
if len(self.leftLandmark) == 0:
return
# 绘制关键点序号
self.drawPointNum()
self.gestureNumDetect()
def drawLineStyle(self):
img = self.img
hands = self.hands
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
# Processes an RGB image and returns the hand landmarks and handedness of each detected hand.
result = hands.process(imgRGB)
# 如果没有识别到手部不需要继续执行
if not result.multi_hand_landmarks:
return
conn = mp.solutions.hands_connections
pointStyle = mp.solutions.drawing_utils.DrawingSpec(color=(0, 0, 255), thickness=2)
lineStyle = mp.solutions.drawing_utils.DrawingSpec(color=(0, 0, 255), thickness=2)
hand_landmarks = result.multi_hand_landmarks[0]
self.leftLandmark = hand_landmarks.landmark # 保存左手的关键点
mp.solutions.drawing_utils.draw_landmarks(img,hand_landmarks,conn.HAND_CONNECTIONS,pointStyle,lineStyle)
def drawPointNum(self): #绘制关键点的序号
for idx, lm in enumerate(self.leftLandmark): # 遍历关键点进行绘制
x, y = self.indexCvPoint(idx)
cv2.putText(self.img, str(idx), org=(x - 15, y - 5), fontFace=cv2.FONT_HERSHEY_SIMPLEX, fontScale=0.3, color=(0, 255, 0), thickness=1)
def indexCvPoint(self, index):
imgH, imgW = self.img.shape[:2]
lm = self.leftLandmark[index] # 通过索引将关键点转换到对应的屏幕坐标
x = int(lm.x * imgW)
y = int(lm.y * imgH)
return x, y
'''
手势数字识别
'''
def gestureNumDetect(self):
for i in range(2,21,2):
pointMaxY = self.indexCvPoint
# point20Y = self.indexCvPoint(20)[1]
# point18Y = self.indexCvPoint(18)[1]
# point16Y = self.indexCvPoint(16)[1]
# point14Y = self.indexCvPoint(14)[1]
# point12Y = self.indexCvPoint(12)[1]
# point10Y = self.indexCvPoint(10)[1]
# point8Y = self.indexCvPoint(8)[1]
# point6Y = self.indexCvPoint(6)[1]
point4Y = self.indexCvPoint(4)[1]
point2Y = self.indexCvPoint(2)[1]
if point4Y < point2Y and point8Y < point6Y and point12Y < point10Y and point16Y < poin14t and point20Y < point18Y:
print("0")
elif point4Y < point2Y and point8Y > point6Y and point12Y < point10Y and point16Y < poin14t and point20Y < point18Y:
print("1")
elif point4Y < point2Y and point8Y > point6Y and point12Y > point10Y and point16Y < poin14t and point20Y < point18Y:
print("2")
elif point4Y < point2Y and point8Y < point6Y and point12Y > point10Y and point16Y > poin14t and point20Y > point18Y:
print("3")
elif point4Y < point2Y and point8Y > point6Y and point12Y > point10Y and point16Y > poin14t and point20Y > point18Y:
print("4")
else:
print("5")
def gestureNumDectect(self):
topFigureNums = [4, 8, 12, 16, 20]
figureStatus = np.zeros((5,), dtype=np.uint8)
for idx, num in enumerate(topFigureNums):
if idx == 0:
topX = self.indexCvPoint(num)[0]
midX = self.indexCvPoint(num - 1)[0]
figureStatus[idx] = topX > midX
continue
topY = self.indexCvPoint(num)[1]
midY = self.indexCvPoint(num - 2)[1]
figureStatus[idx] = topY < midY
total = np.sum(figureStatus)
self.showInfo(total)
# 双手数字识别
import cv2
import mediapipe as mp
import numpy as np
import hand_type
class Hand:
def __init__(self):
mpHands = mp.solutions.hands
self.hands = mpHands.Hands()
self.img = None
self.leftLandmark = []
self.rightLandmark = []
self.mulHands =[]
def process(self,img):
img = self.img
hands = self.hands
imgRGB = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
result = hands.process(imgRGB)
if not result.multi_hand_landmarks:
return
multiHand = []
self.mulHands = mulHands
for handedness in result.multi_handedness:
for classification in handedness.classification:
# 判断左手或者右手只能出现一次
if classification.label not in mulHands:
mulHands.append(classification.label)
for idx, handType in enumerate(mulHands):
isRight = handType == hand_type.RIGHT_HAND_TYPE
if isRight:
hand_landmarks = result.multi_hand_landmarks[idx]
conn = mp.solutions.hands_connections
pointStyle = mp.solutions.drawing_utils.DrawingSpec(color=(0, 255, 0), thickness=2)
lineStyle = mp.solutions.drawing_utils.DrawingSpec(color=(0, 255, 0), thickness=2)
self.rightLandmark = hand_landmarks.landmark # 保存右手的关键点
hand_landmarks = result.multi_hand_landmarks[idx]
conn = mp.solutions.hands_connections
pointStyle = mp.solutions.drawing_utils.DrawingSpec(color=(0, 0,
255), thickness=2)
lineStyle = mp.solutions.drawing_utils.DrawingSpec(color=(0, 0,
255), thickness=2)
self.leftLandmark = hand_landmarks.landmark
mp.solutions.drawing_utils.draw_landmarks(img,hand_landmarks,conn.HAND_CONNECTIONS,pointStyle,lineStyle)
def gestureNumDectect(self, isRight=True):
topFigureNums = [4, 8, 12, 16, 20]
figureStatus = np.zeros((5,), dtype=np.uint8)
for idx, num in enumerate(topFigureNums):
if idx == 0:
topX = self.indexCvPoint(num)[0]
midX = self.indexCvPoint(num - 1)[0]
figureStatus[idx] = topX > midX
continue
topY = self.indexCvPoint(num)[1]
midY = self.indexCvPoint(num - 2)[1]
figureStatus[idx] = topY < midY
total = np.sum(figureStatus)
self.showInfo(total)
def drawPointNum(self,isRight=True): #绘制关键点的序号
if isRight:
landmark = self.rightLandmark
color = (0,0,255)
else:
lanmark = self.leftLandmark
color = (0,0,255)
for idx, lm in enumerate(landmark): # 遍历关键点进行绘制
x, y = self.indexCvPoint(idx,isRight)
cv2.putText(self.img, str(idx), org=(x - 15, y - 5), fontFace=cv2.FONT_HERSHEY_SIMPLEX, fontScale=0.3, color=(0, 255, 0), thickness=1)
def indexCvPoint(self, index, isRight=True):
if isRight:
landmark = self.rightLandmark
else:
lanmark = self.leftLandmark
imgH, imgW = self.img.shape[:2]
lm = landmark[index] # 通过索引将关键点转换到对应的屏幕坐标
x = int(lm.x * imgW)
y = int(lm.y * imgH)
return x, y
def showInfo(self, info, color=(0, 0, 255), org=(50, 100), fontScale=3, thickness=2):
cv2.putText(self.img,str(info),org=org,fontFace=cv2.FONT_HERSHEY_SIMPLEX,
fontScale=fontScale,color=color,thickness=thickness)
没有意义了