image dectection

[thenishreddy]

----------- FUNCTION TO READ THE FILE AND ADD THE NAMES AND IDs IN TO TUPLES

import cv2
import math
import time

now_time = time.clock()

face = cv2.CascadeClassifier('Haar/haarcascade_frontalcatface.xml')
glass_cas = cv2.CascadeClassifier('Haar/haarcascade_eye_tree_eyeglasses.xml')

WHITE = [255, 255, 255]

def FileRead():
Info = open("Names.txt", "r") # Open th text file in readmode
NAME = [] # The tuple to store Names
while (True): # Read all the lines in the file and store them in two tuples
Line = Info.readline()
if Line == '':
break
NAME.append (Line.split(",")[1].rstrip())

return NAME                                     # Return the two tuples

Names = FileRead() # Run the above Function to get the ID and Names Tuple

------------------- FUNCTION TO FIND THE NAME -----------------------------------------------------------

def ID2Name(ID, conf):
if ID > 0:
NameString = "Name: " + Names[ID-1] + " Distance: " + (str(round(conf)) ) # Find the Name using the index of the ID
else:
NameString = " Face Not Recognised " # Find the Name using the index of the ID

return NameString

------------------- THIS FUNCTION READ THE FILE AND ADD THE NAME TO THE END OF THE FILE -----------------

def AddName():
Name = raw_input('Enter Your Name ')
Info = open("Names.txt", "r+")
ID = ((sum(1 for line in Info))+1)
Info.write(str(ID) + "," + Name + "\n")
print ("Name Stored in " + str(ID))
Info.close()
return ID

------------------- DRAW THE BOX AROUND THE FACE, ID and CONFIDENCE -------------------------------------

def DispID(x, y, w, h, NAME, Image):

#  --------------------------------- THE POSITION OF THE ID BOX  ---------------------------------------------

Name_y_pos = y - 10
Name_X_pos = x + w/2 - (len(NAME)*7/2)

if Name_X_pos < 0:
    Name_X_pos = 0
elif (Name_X_pos +10 + (len(NAME) * 7) > Image.shape[1]):
      Name_X_pos= Name_X_pos - (Name_X_pos +10 + (len(NAME) * 7) - (Image.shape[1]))
if Name_y_pos < 0:
    Name_y_pos = Name_y_pos = y + h + 10

------------------------------------ THE DRAWING OF THE BOX AND ID --------------------------------------

draw_box(Image, x, y, w, h)

              
cv2.rectangle(Image, (Name_X_pos-10, Name_y_pos-25), (Name_X_pos +10 + (len(NAME) * 7), Name_y_pos-1), (0,0,0), -2)           # Draw a Black Rectangle over the face frame
cv2.rectangle(Image, (Name_X_pos-10, Name_y_pos-25), (Name_X_pos +10 + (len(NAME) * 7), Name_y_pos-1), WHITE, 1) 
cv2.putText(Image, NAME, (Name_X_pos, Name_y_pos - 10), cv2.FONT_HERSHEY_DUPLEX, .4, WHITE)                         # Print the name of the ID

def draw_box(Image, x, y, w, h):
cv2.line(Image, (x, y), (x + (w/5) ,y), WHITE, 1)
cv2.line(Image, (x+((w/5)4), y), (x+w, y), WHITE, 1)
cv2.line(Image, (x, y), (x, y+(h/5)), WHITE, 1)
cv2.line(Image, (x+w, y), (x+w, y+(h/5)), WHITE, 1)
cv2.line(Image, (x, (y+(h/54))), (x, y+h), WHITE, 1)
cv2.line(Image, (x, (y+h)), (x + (w/5) ,y+h), WHITE, 1)
cv2.line(Image, (x+((w/5)4), y+h), (x + w, y + h), WHITE, 1)
cv2.line(Image, (x+w, (y+(h/54))), (x+w, y+h), WHITE, 1)

--------------- SECOND ID BOX ----------------------

def DispID2(x, y, w, h, NAME, Image):

--------------------------------- THE POSITION OF THE ID BOX -------------------------------------------------

Name_y_pos = y - 40
Name_X_pos = x + w/2 - (len(NAME)*7/2)

if Name_X_pos < 0:
    Name_X_pos = 0
elif (Name_X_pos +10 + (len(NAME) * 7) > Image.shape[1]):
      Name_X_pos= Name_X_pos - (Name_X_pos +10 + (len(NAME) * 7) - (Image.shape[1]))
if Name_y_pos < 0:
    Name_y_pos = Name_y_pos = y + h + 10

------------------------------------ THE DRAWING OF THE BOX AND ID --------------------------------------

cv2.rectangle(Image, (Name_X_pos-10, Name_y_pos-25), (Name_X_pos +10 + (len(NAME) * 7), Name_y_pos-1), (0,0,0), -2)           # Draw a Black Rectangle over the face frame
cv2.rectangle(Image, (Name_X_pos-10, Name_y_pos-25), (Name_X_pos +10 + (len(NAME) * 7), Name_y_pos-1), WHITE, 1) 
cv2.putText(Image, NAME, (Name_X_pos, Name_y_pos - 10), cv2.FONT_HERSHEY_DUPLEX, .4, WHITE)                         # Print the name of the ID

--------------- THIRD ID BOX ----------------------

def DispID3(x, y, w, h, NAME, Image):

--------------------------------- THE POSITION OF THE ID BOX -------------------------------------------------

Name_y_pos = y - 70
Name_X_pos = x + w/2 - (len(NAME)*7/2)

if Name_X_pos < 0:
    Name_X_pos = 0
elif (Name_X_pos +10 + (len(NAME) * 7) > Image.shape[1]):
      Name_X_pos= Name_X_pos - (Name_X_pos +10 + (len(NAME) * 7) - (Image.shape[1]))
if Name_y_pos < 0:
    Name_y_pos = Name_y_pos = y + h + 10

------------------------------------ THE DRAWING OF THE BOX AND ID --------------------------------------

cv2.rectangle(Image, (Name_X_pos-10, Name_y_pos-25), (Name_X_pos +10 + (len(NAME) * 7), Name_y_pos-1), (0,0,0), -2)           # Draw a Black Rectangle over the face frame
cv2.rectangle(Image, (Name_X_pos-10, Name_y_pos-25), (Name_X_pos +10 + (len(NAME) * 7), Name_y_pos-1), WHITE, 1) 
cv2.putText(Image, NAME, (Name_X_pos, Name_y_pos - 10), cv2.FONT_HERSHEY_DUPLEX, .4, WHITE)                         # Print the name of the ID

def DrawBox(Image, x, y, w, h):
cv2.rectangle(Image, (x, y), (x + w, y + h), (255, 255, 255), 1) # Draw a rectangle arround the face

----------------------------- THIS FUNCTION TAKES IN SPEC CASCADE, FACE CASCADE AND AN IMAGE

------------------------- IT RETURNS A CROPPED FACE AND IF POSSIBLE STRAIGHTENS THE TILT OF THE HEAD

def DetectEyes(Image):
Theta = 0
rows, cols = Image.shape
glass = glass_cas.detectMultiScale(Image) # This ditects the eyes
for (sx, sy, sw, sh) in glass:
if glass.shape[0] == 2: # The Image should have 2 eyes
if glass[1][0] > glass[0][0]:
DY = ((glass[1][1] + glass[1][3] / 2) - (glass[0][1] + glass[0][3] / 2)) # Height diffrence between the glass
DX = ((glass[1][0] + glass[1][2] / 2) - glass[0][0] + (glass[0][2] / 2)) # Width diffrance between the glass
else:
DY = (-(glass[1][1] + glass[1][3] / 2) + (glass[0][1] + glass[0][3] / 2)) # Height diffrence between the glass
DX = (-(glass[1][0] + glass[1][2] / 2) + glass[0][0] + (glass[0][2] / 2)) # Width diffrance between the glass

        if (DX != 0.0) and (DY != 0.0):                                                 # Make sure the the change happens only if there is an angle
            Theta = math.degrees(math.atan(round(float(DY) / float(DX), 2)))            # Find the Angle
            print (" Theta  " + str(Theta));

            M = cv2.getRotationMatrix2D((cols / 2, rows / 2), Theta, 1)                 # Find the Rotation Matrix
            Image = cv2.warpAffine(Image, M, (cols, rows))
            # cv2.imshow('ROTATED', Image)                                              # UNCOMMENT IF YOU WANT TO SEE THE

            Face2 = face.detectMultiScale(Image, 1.3, 5)                                # This detects a face in the image
            for (FaceX, FaceY, FaceWidth, FaceHeight) in Face2:
                CroppedFace = Image[FaceY: FaceY + FaceHeight, FaceX: FaceX + FaceWidth]
                return CroppedFace

def tell_time_passed():
print ('TIME PASSED ' + str(round(((time.perf_counter() - now_time)/60), 2)) + ' MINS')

[datasciencecompleteguide]

Please remove all the stuff other then the code and repost it.
Or Upload the python or zip file directly.
Thanks