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smith0022/297b039d09046030d1e89aed9c583834-1699c61a293e186db7f406e8cb38a228ecbfd18e_.idea_.gitignore

Created October 1, 2021 04:59
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297b039d09046030d1e89aed9c583834-1699c61a293e186db7f406e8cb38a228ecbfd18e_.idea_.gitignore
# Default ignored files
/shelf/
/workspace.xml
Raw
297b039d09046030d1e89aed9c583834-1699c61a293e186db7f406e8cb38a228ecbfd18e_.idea_297b039d09046030d1e89aed9c583834-1699c61a293e186db7f406e8cb38a228ecbfd18e.iml
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Raw
297b039d09046030d1e89aed9c583834-1699c61a293e186db7f406e8cb38a228ecbfd18e_.idea_inspectionProfiles_profiles_settings.xml
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Raw
297b039d09046030d1e89aed9c583834-1699c61a293e186db7f406e8cb38a228ecbfd18e_.idea_misc.xml
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Raw
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Raw
297b039d09046030d1e89aed9c583834-1699c61a293e186db7f406e8cb38a228ecbfd18e_.idea_workspace.xml
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Raw
297b039d09046030d1e89aed9c583834-1699c61a293e186db7f406e8cb38a228ecbfd18e_HandsTrackingModule.py
import cv2 as c
import mediapipe as mp
import time
class HandDetect() :
def __init__(self, mode=False, maxhands=2, detectC=0.5, trackC=0.5):
self.mode = mode
self.maxhands = maxhands
self.detectC = detectC
self.trackC = trackC
self.mpHands = mp.solutions.hands
self.hands = self.mpHands.Hands(self.mode, self.maxhands, self.detectC, self.trackC)
self.mpDraw = mp.solutions.drawing_utils
self.tipIds = [4, 8, 12, 16, 20]
def findhands(self,img,draw = True):
Rgb = c.cvtColor(img, c.COLOR_BGR2RGB)
self.result = self.hands.process(Rgb)
# print(result.multi_hand_landmarks)
if self.result.multi_hand_landmarks:
for HandsLms in self.result.multi_hand_landmarks:
if draw:
self.mpDraw.draw_landmarks(img, HandsLms, self.mpHands.HAND_CONNECTIONS)
return img
def findPosition(self,img,handNo=0,draw=True):
self.lmlist = []
if self.result.multi_hand_landmarks:
myhand=self.result.multi_hand_landmarks[handNo]
for id, lm in enumerate(myhand.landmark):
# print(id,lm)
h, w, cen = img.shape
cx, cy = int(lm.x * w), int(lm.y * h)
#print(id, cx, cy)
self.lmlist.append([id,cx, cy])
#if id in (4, 8, 16, 12, 20) and draw==True:
#c.circle(img, (cx, cy), 15, (255, 0, 255), c.FILLED)return
return self.lmlist
def FingersUp(self):
finger = []
if self.lmlist[self.tipIds[0]][1] < self.lmlist[self.tipIds[0] - 1][1]:
finger.append(1)
else:
finger.append(0)
for id in range(1, 5):
if self.lmlist[self.tipIds[id]][2] < self.lmlist[self.tipIds[id] - 2][2]:
finger.append(1)
else:
finger.append(0)
return finger
def main():#to write from this everytime for usuage
cap = c.VideoCapture(0)
ctime = 0
ptime = 0
HDT=HandDetect()
while True:
success, img = cap.read()
img = HDT.findhands(img,False)#put false fr noy showing the lines
HDT.findPosition(img)#false for not shoing dots as well
ctime = time.time()
fps = 1/(ctime-ptime)
ptime = ctime
c.putText(img, str(int(fps)), (10, 70), c.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3)
c.imshow("Image", img)
c.waitKey(1)
if __name__ == "__main__":
main()
Raw
297b039d09046030d1e89aed9c583834-1699c61a293e186db7f406e8cb38a228ecbfd18e_test12.csv
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
��$� smith 1 4567890898765 12/09/2020�.��#�kyle 2 4534637698657 09/06/2069�.�� �tayyab 3 242434665 9/08/2021�.���name number salary DOJ�.
Raw
297b039d09046030d1e89aed9c583834-1699c61a293e186db7f406e8cb38a228ecbfd18e_VirtualPainter.py
import cv2
import numpy as np
import time
import os
import math
import HandsTrackingModule as htm
# folderpath = "Da Painter"
# mylist = os.listdir(folderpath)
# #mylist = mylist[:]
# #print(mylist)
# overlaylist=[]
# drawcolor = (0,0,0)
# brushthicc=7
# imgcan=np.zeros((200,200), np.uint8)
# xp,yp=0,0
# for imPath in mylist:
# image = c.imread(f'{folderpath}/{imPath}')
# overlaylist.append(image)
# #print(len(overlaylist))
# header = overlaylist[0]
# wCam,hCam= 200,200
# cap = c.VideoCapture(0)
# cap.set(3,wCam)
# cap.set(4,hCam)
# detect = htm.HandDetect(detectC=0.85)
# while True:
# success, img = cap.read()
# img = c.flip(img,1)
# img=detect.findhands(img,False)
# lmlist=detect.findPosition(img,draw=False)
# if len(lmlist) != 0:
# x1,y1=lmlist[8][1],lmlist[8][2]
# x2, y2 = lmlist[12][1], lmlist[12][2]
# finger = detect.FingersUp()
# length = math.hypot(x2 - x1, y2 - y1)
# #print(length)
# #print(finger)
# if (finger==[0,1,1,0,0] or finger==[1,1,1,0,0]) and length<50:
# #c.circle(img, (x1, y1), 20, (0,0,0),c.FILLED)
# #c.circle(img, (x2, y2), 20, (0,0,0),c.FILLED)
# #print("selectioon mode")
# if 90<y1:
# header=overlaylist[0]
# elif 25<y1<60:
# if 200<x1<280:
# header=overlaylist[2]
# brushthicc = 7
# drawcolor = (255, 0, 0)
# elif 28<y1<70:
# if 285<x1<333:
# brushthicc = 7
# header=overlaylist[3]
# drawcolor = (0, 0, 255)
#
# elif 30<y1<80:
# if 360<x1<411:
# header=overlaylist[1]
# brushthicc = 7
# drawcolor = (0, 255, 255)
# if 30<y1<80:
# if 444<x1<500:
# header = overlaylist[0]
# brushthicc=25
# drawcolor=(0,0,0)
# #print(drawcolor)
# c.rectangle(img, (x1, y1), (x2, y2),drawcolor, c.FILLED)
#
# if finger==[0,1,0,0,0] or finger==[1,1,0,0,0] :
# c.circle(img, (x1, y1), 20, (0,0,0), c.FILLED)
# print("drawing mode mode")
# if xp==0 and yp==0:
# xp,yp=x1,y1
# #c.line(imgcan,(xp,yp),(x1,y1),drawcolor,brushthicc)
# c.circle(imgcan, (x1, y1), brushthicc,drawcolor, c.FILLED)
# c.line(img,(xp,yp),(x1,y1),drawcolor,brushthicc)
#
# xp,yp=x1,y1
# # imggray=c.cvtColor(imgcan,c.COLOR_BGR2GRAY)
# # _,imgInv=c.threshold(imggray,50,255,c.THRESH_BINARY_INV)
# # imgInv=c.cvtColor(imgInv,c.COLOR_GRAY2BGR)
# # img = c.bitwise_and(img,imgInv)
# # img=c.bitwise_or(img,imgcan)
# print(type(img))
# print(type(imgcan))
# print(img)
# #img[0:142,0:640] = header
# img = c.addWeighted(img,0.5,imgcan,0.5,0)
# c.imshow("Image",img)
# c.imshow("draw",imgcan)
# c.waitKey(1)
#######################
brushThickness = 25
eraserThickness = 100
########################
# folderPath = "Header"
# myList = os.listdir(folderPath)
# print(myList)
# overlayList = []
# for imPath in myList:
# image = cv2.imread(f'{folderPath}/{imPath}')
# overlayList.append(image)
# print(len(overlayList))
# header = overlayList[0]
drawColor = (255, 0, 255)
cap = cv2.VideoCapture(1)
cap.set(3, 1280)
cap.set(4, 720)
detector = htm.HandDetect(detectC=0.65)
xp, yp = 0, 0
imgCanvas = np.zeros((720, 1280, 3), np.uint8)
while True:
# 1. Import image
success, img = cap.read()
img = cv2.flip(img, 1)
# 2. Find Hand Landmarks
img = detector.findhands(img)
lmList = detector.findPosition(img, draw=False)
if len(lmList) != 0:
# print(lmList)
# tip of index and middle fingers
x1, y1 = lmList[8][1:]
x2, y2 = lmList[12][1:]
# 3. Check which fingers are up
fingers = detector.FingersUp()
# print(fingers)
# 4. If Selection Mode - Two finger are up
if fingers[1] and fingers[2]:
# xp, yp = 0, 0
print("Selection Mode")
# # Checking for the click
if y1 < 125:
if 250 < x1 < 450:
#header = overlayList[0]
drawColor = (255, 0, 255)
elif 550 < x1 < 750:
#header = overlayList[1]
drawColor = (255, 0, 0)
elif 800 < x1 < 950:
#header = overlayList[2]
drawColor = (0, 255, 0)
elif 1050 < x1 < 1200:
#header = overlayList[3]
drawColor = (0, 0, 0)
cv2.rectangle(img, (x1, y1 - 25), (x2, y2 + 25), drawColor, cv2.FILLED)
# 5. If Drawing Mode - Index finger is up
if fingers[1] and fingers[2] == False:
cv2.circle(img, (x1, y1), 15, drawColor, cv2.FILLED)
print("Drawing Mode")
if xp == 0 and yp == 0:
xp, yp = x1, y1
cv2.line(img, (xp, yp), (x1, y1), drawColor, brushThickness)
# if drawColor == (0, 0, 0):
# cv2.line(img, (xp, yp), (x1, y1), drawColor, eraserThickness)
# cv2.line(imgCanvas, (xp, yp), (x1, y1), drawColor, eraserThickness)
#
# else:
# cv2.line(img, (xp, yp), (x1, y1), drawColor, brushThickness)
# cv2.line(imgCanvas, (xp, yp), (x1, y1), drawColor, brushThickness)
xp, yp = x1, y1
# # Clear Canvas when all fingers are up
# if all (x >= 1 for x in fingers):
# imgCanvas = np.zeros((720, 1280, 3), np.uint8)
imgGray = cv2.cvtColor(imgCanvas, cv2.COLOR_BGR2GRAY)
_, imgInv = cv2.threshold(imgGray, 50, 255, cv2.THRESH_BINARY_INV)
imgInv = cv2.cvtColor(imgInv,cv2.COLOR_GRAY2BGR)
img = cv2.bitwise_and(img,imgInv)
img = cv2.bitwise_or(img,imgCanvas)
# Setting the header image
#img[0:125, 0:1280] = header
# img = cv2.addWeighted(img,0.5,imgCanvas,0.5,0)
cv2.imshow("Image", img)
cv2.imshow("Canvas", imgCanvas)
cv2.imshow("Inv", imgInv)
cv2.waitKey(1)
Raw
297b039d09046030d1e89aed9c583834-1699c61a293e186db7f406e8cb38a228ecbfd18e_wewecewdcw.py
# import pickle as p
# def bwrite():
# j = {}
# ob = open("data.dat","bw")
# for x in range(1,4):
# s = input("enter name:")
# j[x] = s
# p.dump(j,ob)
# ob.close()
# ob = open("data.dat","br")
# k = p.load(ob)
# print(k)
#.............................................................................................
# import pickle as p
# def empadd(ob,n):
# l = "name\tnumber\tsalary\tDOJ"
# p.dump(l,ob)
# for x in range(n):
# name = input("enter the name :")
# number = int(input("enter the number :"))
# salary = int(input("enter the salary :"))
# DOJ = input("enter the doj :")
# l = name + "\t" + str(number) + "\t" + str(salary) + "\t" + DOJ
# print(l)
# p.dump(l, ob)
# ob.close()
# ob = open("empdatafor school.csv","rb")
# k = p.load(ob)
# ob = open("empdatafor school.csv","rb")
# #n = int(input("enter the number of employ :"))
# #empadd(ob,n)
# #ob = open("empdatafor school.csv","rb")
# k = p.load(ob)
# print(k)
# k = p.load(ob)
# print(k)
# k = p.load(ob)
# print(k)
# k = p.load(ob)
# print(k)
# k = p.load(ob)
# print(k)
# k = p.load(ob)
# print(k)
# k = p.load(ob)
# print(k)
# k = p.load(ob)
# print(k)
# k = p.load(ob)
# print(k)
#...........................................................................
# import pickle as p
# def schooladd(ob,n):
# l = {}
# for x in range(n):
# name = input("enter the physics :")
# number = int(input("enter the maths :"))
# salary = int(input("enter the english :"))
# DOJ = input("enter the chemistry :")
# l["Physics"] = name
# l["maths"] = number
# l["englis"] = salary
# l["chemistry"] = DOJ
# p.dump(l, ob)
# ob.close()
# ob = open("data_for_school.csv","rb")
# k = p.load(ob)
# print(k)
# ob.close()
# ob = open("data_for_school.csv","wb")
# n = int(input("enter the number of students :"))
# schooladd(ob,n)
# ob = open("data_for_school.csv","rb")
# k = p.load(ob)
# print(k)
# k = p.load(ob)
# print(k)
# k = p.load(ob)
# # print(k)
#.............................................................................................
# import pickle as p
# f = open("test.dat","rb")
# try:
# while True:
# s = p.load(f)
# print(s)
# except EOFError:
# f.close()
#.............................................................................................
# import pickle as p
# import cv2 as c
# import Han
# wCam,hCam= 720,720
# cap = c.VideoCapture(0)
# cap.set(3,wCam)
# cap.set(4,hCam)
# detect = htm.HandDetect(detectC=0.85)
# while True:
# success, img = cap.read()
# img = c.flip(img,1)
# img=detect.findhands(img,False)
# lmlist=detect.findPosition(img,draw=False)
# if len(lmlist) != 0:
# if finger == [0, 1, 1, 0, 0] or finger == [1, 1, 1, 0, 0]:
# break
# else:
#...............................................................................................
# import pickle
# import cv2 as c
# import HandsTrackingModule as htm
# import math
# detect = htm.HandDetect(detectC=0.85)
# f = open("test.dat","wb")
# cap = c.VideoCapture(0)
# while True:
# success, img = cap.read()
# img = c.flip(img,1)
# img=detect.findhands(img)
# lmlist=detect.findPosition(img)
# if len(lmlist) != 0:
# x1, y1 = lmlist[8][1], lmlist[8][2]
# x2, y2 = lmlist[12][1], lmlist[12][2]
# finger = detect.FingersUp()
# length = math.hypot(x2 - x1, y2 - y1)
# if (finger == [0, 1, 1, 1, 0] or finger == [1, 1, 1,1, 0]) and length < 50:
# c.rectangle(img, (x1, y1), (x2, y2), (0,255,240), c.FILLED)
# f.close()
# f = open("test.dat","rb")
# try:
#
# while True:
# p = pickle.load(f)
# print(p)
# except:
# f.close()
# break
# if (finger == [0, 1, 0, 0, 0] or finger == [1, 1, 0, 0, 0]) :
# s = int(input("enter product code :"))
# pickle.dump(s, f)
# c.imshow("Image", img)
# c.waitKey(1)
#........................................................................
import pickle
import cv2 as c
import HandsTrackingModule as htm
import math
detect = htm.HandDetect(detectC=0.85)
f = open("test12.csv","ab")
l = "name\tnumber\tsalary\tDOJ"
pickle.dump(l,f)
cap = c.VideoCapture(0)
print("1 finger for writng "
"2 fingers for updating"
"3 finger for reading ")
while True:
success, img = cap.read()
img = c.flip(img,1)
img=detect.findhands(img)
lmlist=detect.findPosition(img)
if len(lmlist) != 0:
x1, y1 = lmlist[8][1], lmlist[8][2]
x2, y2 = lmlist[12][1], lmlist[12][2]
finger = detect.FingersUp()
length = math.hypot(x2 - x1, y2 - y1)
if (finger == [0, 1, 1, 1, 0] or finger == [1, 1, 1,1, 0]) and length < 50:
c.rectangle(img, (x1, y1), (x2, y2), (0,255,240), c.FILLED)
f.close()
f = open("test12.csv","rb")
try:
while True:
p = pickle.load(f)
print(p)
except:
f.close()
break
if (finger == [0, 1, 0, 0, 0] or finger == [1, 1, 0, 0, 0]) :
f.close()
f = open("test12.csv", "wb")
name = input("enter the name :")
number = int(input("enter the number :"))
salary = int(input("enter the salary :"))
DOJ = input("enter the doj :")
l = name + "\t" + str(number) + "\t" + str(salary) + "\t" + DOJ
print(l)
pickle.dump(l,f)
if (finger == [0, 1, 1, 1, 0] or finger == [1, 1, 1, 0, 0]) :
f.close()
f = open("test12.csv", "wb")
name = input("enter the name :")
number = int(input("enter the number :"))
salary = int(input("enter the salary :"))
DOJ = input("enter the doj :")
l = name + "\t" + str(number) + "\t" + str(salary) + "\t" + DOJ
print(l)
pickle.dump(l,f)
c.imshow("Image", img)
c.waitKey(1)
#......................................................................................
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