The problem i faced is the that window opens but is not responding. I am using pycharm IDE for the development of the code. When I debugged the code i found that the statements in for loop are not executed and code recursively moves to while true condition only comes up to for loop and then again to the while true condition.
The code is as below :
import cv2
import numpy as np
face_detect = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
cam = cv2.VideoCapture(0)
recognizer=cv2.face.createLBPHFaceRecognizer()
recognizer.load("Training/trainingdataset.yml")
id=0
font=cv2.FONT_HERSHEY_SIMPLEX
while True:
ret,image = cam.read()
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY);
faces=face_detect.detectMultiScale(gray,1.3,5)
for (x,y,w,h) in faces:
cv2.rectangle(image,(x,y),(x+w,y+h),(0,255,0),2)
id,conf=recognizer.predict(gray[x:x+w,y:y+h])
cv2.putText(image, str(id), (x,y+h) , font , 1 ,(0,255,0))
cv2.imshow("facedetector",image)
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I have an issue with showing up the window and cam capture using OpenCV
When i'm run the script, i see that the cam is working, but the window with this cam is not showing anywhere, i've had just the Python icon showed up but it`s even not clickable.
setup:
macOS Big Sur 11.4
python 3.8
cv2 4.2.0
I`ve tried to:
Add sleep before ret, frame = video_capture.read()
Change cv2.waitKey() to 0, 1, and 500
Had tested on my notebook cam, and on phone using IriunWebcam
Tried different IDEs(Visual code, and PyCharm), and tried to run the
script in the terminal
import cv2
import sys
import logging as log
import datetime as dt
from time import sleep
faceCascade = cv2.CascadeClassifier('/Users/***/Documents/GitHub/FaceAuth/haarcascade_frontalface_default.xml')
log.basicConfig(filename='webcam.log', level=log.INFO)
video_capture = cv2.VideoCapture(0) # 0 for phone cam, 1 for pc cam
anterior = 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, 1.1, 4)
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
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)
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()
This is my variables in debug breakpoint, before cv2.imshow('Video', frame)
From #idonthaveaname in the comments section:
Have you tried upgrading opencv to 4.4.0? Maybe it should work, 4.4.0 is the latest version.
I'm new to openCV and am trying to get openCV to work my USB webcam on Win7 with Python 3.8. I've got the basic tutorial from here modified from Raspberry Pi cam by the same author here.
which is:
#!/usr/bin/python3
import time
import numpy as np
import cv2
#point to the haar cascade file in the directory
cascPath = "haarcascade.xml"
faceCascade = cv2.CascadeClassifier(cascPath)
#start the camera
video_capture = cv2.VideoCapture(0)
#give camera time to warm up
time.sleep(0.1)
#start video frame capture loop
while True:
# take the frame, convert it to black and white, and look for facial features
ret, frame = video_capture.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# use appropriate flag based on version of OpenCV
if int(cv2.__version__.split('.')[0]) >= 3:
cv_flag = cv2.CASCADE_SCALE_IMAGE
else:
cv_flag = cv2.cv.CV_HAAR_SCALE_IMAGE
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv_flag
)
#for each face, draw a green rectangle around it and append to the image
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
#display the resulting image
cv2.imshow('Video', frame)
#set "q" as the key to exit the program when pressed
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# clear the stream capture
video_capture.release()
cv2.destroyAllWindows()
It should run out of the box, but I get the error below and I'm not sure why. CV_flag and gray have data and the other parameters are filled. Any ideas.
C:\Users\Ghoul>py D:\LearnPython\open_cv_face_track_test.py -3.8
[ WARN:0] global C:\projects\opencv-python\opencv\modules\videoio\src\cap_msmf.cpp (674)
SourceReaderCB::~SourceReaderCB
terminating async callback
Traceback (most recent call last):
File "D:\LearnPython\open_cv_face_track_test.py", line 31, in <module>
faces = faceCascade.detectMultiScale(
cv2.error: OpenCV(4.1.2) C:\projects\opencv-
python\opencv\modules\objdetect\src\cascadedetect.cpp:1689: error: (-215:Ass
ertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale'
The faceCascade classifier is empty, which means it was unable to retrieve the classifier from the path provided.
You can replace the line
cascPath = "haarcascade.xml"
with:
cascPath = '../../haarcascade.xml'
where you provide the full path of the xml file for cascPath.
So I'm new to opencv and after practicing with some face detectors and understanding how to use the library, I created my own cascade and it's supposed to identify icons on my computer such as logos and others.
first to make sure my cascade worked I wrote one the detects the icons from the images I took,I took a screenshot and processed it through the cascade as an image and worked fine. the code for that is
import numpy as np
import cv2
img = cv2.imread('body.jpg')
face_csc = cv2.CascadeClassifier('new_cascade.xml')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_csc.detectMultiScale(gray, 1.1 , 4)
for (x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),3)
cv2.imshow('img',img)
cv2.waitKey(0)
after some time I wrote this for it to render my screen while detecting the icons the same way it did when I tried it on a screenshot:
import numpy as np
import cv2
from PIL import ImageGrab
fourcc = cv2.VideoWriter_fourcc(*'XVID')
face_csc = cv2.CascadeClassifier('new_cascade.xml')
out = cv2.VideoWriter("test_output.avi", fourcc, 5.0, (1366, 768))
while True:
img = ImageGrab.grab(bbox=(100, 10, 750, 750))
# convert image to numpy array
img_np = np.array(img)
# convert color space from BGR to RGB
frame = cv2.cvtColor(img_np, cv2.COLOR_BGR2RGB)
# show image on OpenCV frame
faces = face_csc.detectMultiScale(frame, 1.1 , 4)
cv2.imshow("stream", frame)
# write frame to video writer
out.write(frame)
for (x,y,w,h) in faces:
cv2.rectangle(frame,(x,y),(x+w,y+h), (255,0,0), 2)
roi_gray = frame[y:y+h, x:x+w]
roi_color = img_np[y:y+h,x:x+w]
if cv2.waitKey(1) == 27:
break
cv2.waitKey(0)
out.release()
but when running the code it doesn't show any errors but it also doesn't detect or identify any of the icons it just records my screen, I've tried debugging this for hours now to no avail, any ideas?
You should show and write the video after you draw rectangles, not before.
import numpy as np
import cv2
from PIL import ImageGrab
fourcc = cv2.VideoWriter_fourcc(*'XVID')
face_csc = cv2.CascadeClassifier('new_cascade.xml')
out = cv2.VideoWriter("test_output.avi", fourcc, 5.0, (1366, 768))
while True:
img = ImageGrab.grab(bbox=(100, 10, 750, 750))
# convert image to numpy array
img_np = np.array(img)
# convert color space from BGR to RGB
frame = cv2.cvtColor(img_np, cv2.COLOR_BGR2RGB)
# show image on OpenCV frame
faces = face_csc.detectMultiScale(frame, 1.1 , 4)
for (x,y,w,h) in faces:
cv2.rectangle(frame,(x,y),(x+w,y+h), (255,0,0), 2)
roi_gray = frame[y:y+h, x:x+w]
roi_color = img_np[y:y+h,x:x+w]
if cv2.waitKey(1) == 27:
break
cv2.imshow("stream", frame)
# write frame to video writer
out.write(frame)
cv2.waitKey(0)
out.release()
I'm trying to detect multiple faces using opencv in python. I'm doing this in raspbian OS (raspberry Pi 3). Although the code is working properly, i.e, it's detecting a face and drawing a rectangular boundary around the face. It successfully saves the image in my local folder as well. The problem is : the statement print("Found faces", str(len(faces))) isn't working and the console remains blank. What am I missing here or where am I going wrong?
import io
import picamera
import cv2
import numpy
stream = io.BytesIO()
with picamera.PiCamera() as camera:
camera.resolution = (320, 240)
camera.hflip = True
camera.capture(stream, format='jpeg')
buff = numpy.fromstring(stream.getvalue(), dtype=numpy.uint8)
image = cv2.imdecode(buff, 1)
face_cascade = cv2.CascadeClassifier('face1.xml')
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.1, 5)
print("Found faces", str(len(faces)))
for (x,y,w,h) in faces:
cv2.rectangle(image,(x,y),(x+w,y+h),(255,255,0),2)
cv2.imwrite('result.jpg',image)
I am trying to superimpose an image over a camera feed in python. I can get an image to superimpose over another image, but when I apply the same thing to my camera feed it doesn't work. Here's my code so far:
#!/usr/bin/python
import cv2
import time
cv2.cv.NamedWindow("Hawk Eye", 1)
capture = cv2.cv.CaptureFromCAM(0)
cv2.cv.SetCaptureProperty(capture, cv2.cv.CV_CAP_PROP_FRAME_WIDTH, 800)
cv2.cv.SetCaptureProperty(capture, cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, 600)
x_offset=y_offset=50
arrows = cv2.imread("arrows.png")
while True:
webcam=cv2.cv.QueryFrame(capture)
#webcam[y_offset:y_offset+arrows.shape[0], x_offset:x_offset+arrows.shape[1]]=arrows
cv2.cv.ShowImage("Hawk Eye", webcam)
if cv2.cv.WaitKey(10) == 27:
break
cv2.cv.DestroyAllWindows()
If I uncomment:
img[y_offset:y_offset+arrows.shape[0], x_offset:x_offset+arrows.shape[1]]=arrows
the line that imposes the image, it shows just the camera feed, but when I add it in my loop it stops working. Thanks!
This works OK using the cv2 API:
import cv2
import time
cv2.namedWindow("Hawk Eye", 1)
capture = cv2.VideoCapture(0)
capture.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, 800)
capture.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, 600)
x_offset=y_offset=50
arrows = cv2.imread("hawk.png")
while True:
ret, webcam = capture.read()
if ret:
webcam[y_offset:y_offset+arrows.shape[0], x_offset:x_offset+arrows.shape[1]]=arrows
cv2.imshow("Hawk Eye", webcam)
if cv2.waitKey(10) == 27:
break
cv2.destroyAllWindows()