Python OpenCv2 place image over face found - python-3.x

Question

I am loading several images will go over my face and I am having difficulty getting the image to go over the square for face created. I have looked at a many resources , but for some reason I am receiving an error when attempting to follow their method.
Every time I do so , I receive an error
ValueError: could not broadcast input array from shape (334,334,3) into shape (234,234,3)
I think the images might be too large, however I tried to resize them to see if they will fit to no avail.
here is my code:
import cv2
import sys
import logging as log
import datetime as dt
from time import sleep
import os
import random
from timeit import default_timer as timer
cascPath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascPath)
#log.basicConfig(filename='webcam.log',level=log.INFO)
video_capture = cv2.VideoCapture(0)
anterior = 0
#s_img = cv2.imread("my.jpg")
increment = 0
for filename in os.listdir("Faces/"):
if filename.endswith(".png"):
FullFile = (os.path.join("Faces/", filename))
#ret, frame = video_capture.read()
frame = cv2.imread(FullFile, cv2.IMREAD_UNCHANGED)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale( gray,scaleFactor=1.1, minNeighbors=5, minSize=(30, 30) )
edges = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 9, 9)
for (x, y, w, h) in faces:
roi_color = frame[y:( y ) + ( h ), x:x + w]
status = cv2.imwrite('export/faces_detected'+ str( increment ) +'.png', roi_color)
increment = increment + 1
else:
continue
masks = []
for filename in os.listdir("export/"):
if filename.endswith(".png"):
FullFile = (os.path.join("export/", filename))
s_img = cv2.imread(FullFile)
masks.append(s_img)
Start = timer()
End = timer()
MasksSize = len(masks)
nrand = random.randint(0, MasksSize -1 )
increment = 0
while True:
if not video_capture.isOpened():
print('Unable to load camera.')
sleep(5)
pass
# Capture frame-by-frame
ret, frame = video_capture.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30)
)
edges = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 9, 9)
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
if (End - Start) > 3:
Start = timer()
End = timer()
nrand = random.randint(0, MasksSize -1 )
# -75 and +20 added to fit my face
cv2.rectangle(frame, (x, y - 75), (x+w, y+h+20), (0, 255, 0), 2)
s_img = masks[nrand]
increment = increment + 1
#maskresize = cv2.resize(s_img, (150, 150))
#frame[y:y+s_img.shape[0] , x:x+s_img.shape[1]] = s_img # problem occurs here with
# ValueError: could not broadcast input array from shape (334,334,3) into shape (234,234,3)
# I assume I am inserting somethign too big?
End = timer()
if anterior != len(faces):
anterior = len(faces)
#log.info("faces: "+str(len(faces))+" at "+str(dt.datetime.now()))
# Display the resulting frame
cv2.imshow('Video', frame)
#cv2.imshow('Video', cartoon)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# Display the resulting frame
cv2.imshow('Video', frame)
# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()

Answer 1

In the following line,
frame[y:y+s_img.shape[0] , x:x+s_img.shape[1]] = s_img
you are trying to attempt to assign s_img to frame[y:y+s_img.shape[0] , x:x+s_img.shape[1]] which are of different shapes.
You can check the shapes of the two by printing the shape (it will be the same as the shapes mentioned in the error).
Try reshaping s_img to the same shape and then try to assign.
Refer to this link:https://www.geeksforgeeks.org/image-resizing-using-opencv-python/
I used this function to resize the image to scale.
def image_resize(image, width = None, height = None, inter = cv2.INTER_AREA):
# initialize the dimensions of the image to be resized and
# grab the image size
dim = None
(h, w) = image.shape[:2]
# if both the width and height are None, then return the
# original image
if width is None and height is None:
return image
# check to see if the width is None
if width is None:
# calculate the ratio of the height and construct the
# dimensions
r = height / float(h)
dim = (int(w * r), height)
# otherwise, the height is None
else:
# calculate the ratio of the width and construct the
# dimensions
r = width / float(w)
dim = (width, int(h * r))
# resize the image
resized = cv2.resize(image, dim, interpolation = inter)
# return the resized image
return resized
Then later on called
r= image_resize(s_img, height = h, width=w)
frame[y:y+r.shape[0] , x:x+r.shape[1]] = r
Answer taken from here too:
Resize an image without distortion OpenCV