Last time I checked my code, the window size is normal. But when I run it now, the window became small. Please does anybody know how to get this to normal?
Here's my code:
import cv2 as cv
face_cascade = cv.CascadeClassifier('haarcascade_frontalface_default.xml')
eyeglasses_cascade = cv.CascadeClassifier('haarcascade_eye_tree_eyeglasses.xml')
cap = cv.VideoCapture(0)
while cap.isOpened():
_, frame = cap.read()
gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.1, 4)
for (x, y, w, h) in faces:
cv.rectangle(frame, (x,y), (x+w, y+w), (255,0,0), 3)
cv.putText(frame,'Face', (x, y+h+30), cv.FONT_HERSHEY_SIMPLEX, 1, (255,0,0), 2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = frame[y:y+h, x:x+w]
glasses = eyeglasses_cascade.detectMultiScale(roi_gray)
for (gx, gy, gw, gh) in glasses:
cv.rectangle(roi_color, (gx,gy), (gx+gw, gy+gh), (0,255,0), 2)
cv.imshow("img", frame)
if cv.waitKey(1) & 0xFF == ord('x'):
break
cap.release()
You have to tell OpenCV what size to use with the capture device:
cap = cv.VideoCapture(0)
cap.set(cv.CAP_PROP_FRAME_WIDTH, 1920)
cap.set(cv.CAP_PROP_FRAME_HEIGHT, 1080)
Note, your camera may only support certain resolutions, so it's important to check that.
I restarted my pc, and weirdly enough, it works. Window size is now back to normal
Related
I am working on a face detection use case and want to print a message when the face is not detected in the frame, and draw the bounding box when the face is detected. I am using open-cv for the same
Here is my code so far, please let me know what changes need to be made.
import cv2
cascPath = 'haarcascade_frontalface_dataset.xml'
faceCascade = cv2.CascadeClassifier(cascPath)
video_capture = cv2.VideoCapture(0)
while True :
_, frame = video_capture.read(0)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# cv2.imshow("face detection", frame)
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.CASCADE_SCALE_IMAGE
)
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
if w == 0:
cv2.putText(frame,'No face',(0,130), font, 1, (200,255,155))
else:
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
# Display the resulting frame in browser
cv2.imshow('Video', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()
I figured out the solution, go through it if you want to have a look , just add this if statement before for loop, it writes no face in the window if no face is detected
if len(faces) == 0:
cv2.putText(frame,'No face',(0,130), 4,1, (200,255,155))
This guide in geeksforgeeks can help you. Also you can follow link on tproger, so I recommend to use google transltator.
https://www.geeksforgeeks.org/python-opencv-cv2-puttext-method/
https://tproger.ru/translations/opencv-python-guide/#text
import cv2
import sys
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
video_capture = cv2.VideoCapture(0)
img_counter = 0
while True:
# Capture frame-by-frame
ret, frame = video_capture.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
k = cv2.waitKey(1)
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.5,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.CASCADE_SCALE_IMAGE
)
# 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)
# Display the resulting frame
cv2.imshow('FaceDetection', frame)
if k%256 == 27: #ESC Pressed
break
elif k%256 == 32:
# SPACE pressed
img_name = "facedetect_webcam_{}.png".format(img_counter)
cv2.imwrite(img_name, frame)
print("{} written!".format(img_name))
img_counter += 1
# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()
after running the code in python the image of my webcam turn into this
Your code works for me without any problems.
The output image looks like there is a problem with the data type of the input image.
Something similar was discussed here:
https://answers.opencv.org/question/174027/c-ycbcr422-to-rgb-convert-from-raw-data-file/
Can you please also post your input frame grayscale image?
What camera are you using?
try add this code after video_capture.read() and post output.
print(frame.dtype)
print(frame.shape)
Mine is: dtype - uint8, shape - (480, 640, 3).
You can have a problem with the number of channels (for example RGBA) and rectangle function.
These are just my ideas of what could be wrong. But for me, your code works fine.
br Jozef
I'm currently trying to run a simple python program to detect face and eyes.
I downloaded the appropriate classifiers and they're in the same directory. I even checked my camera settings and it's set to on with permission to python. Any ideas how to solve this?
import cv2
import numpy as np
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
cap = cv2.VideoCapture(0)
while True:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
cv2.rectange(img, (x,y), (x+w, y+h), (255,0,0), 2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex,ey,ew,ehh) in eyes:
cv2.rectangle(roi_color, (ex,ey), (ex+ew,ey+eh), (0,255,0), 2)
cv2.imshow('img',img)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()
Why does this OpenCV program give the error:
My camera settings show that python is using it:
Thank you!
!_src.empty() means you have an empty frame
You can check the frame to make sure you actually get the image:
ret, img = cap.read()
if img is not None:
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
else: < implement how you want to deal with empty frame >
I has raspberry pi 3 with raspbian jessie installed. Open CV3 and python 3.0 also installed. I get a python sample code which detect the face. I need write some text on the screen but it's not write on it. I need write text once instead of repeated on top of each faces. Below is the code
import cv2
import sys
from tkinter import *
from tkinter import messagebox
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
video_capture = cv2.VideoCapture(0)
video_capture.set(3,500)
video_capture.set(4,300)
video_capture.set(12, 0.1)
frameWidth = int(video_capture.get(cv2.CAP_PROP_FRAME_WIDTH))
frameHeight = int(video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT))
while True:
# 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),
flags=cv2.CASCADE_SCALE_IMAGE
)
# 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)
#cv2.putText(frame, 'How are you', (x - 1, y - 1), cv2.FONT_HERSHEY_PLAIN,2,(0, 255, 0))
#if the puttext at here, it will write the text on top of each face detected. But I just need the text appear once.
# Display the resulting frame
cv2.imshow('Video', frame)
if len(faces) > 0:
cv2.putText(img = frame, text = 'How are you', org = (int(frameWidth/2 - 20),int(frameHeight/2)), fontFace = cv2.FONT_HERSHEY_DUPLEX, fontScale = 3,
color = (0, 255, 0))
#print(int(frameWidth/2 - 20),int(frameHeight/2))
#print('Found ' + str(len(faces)) + ' face(s)')
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()
You are calling imshow before putText so you'll never see the results of putText. Move the imshow statement to the line before waitKey.
import cv2
import sys
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
video_capture = cv2.VideoCapture(0)
while True:
# Capture frame-by-frame
ret, frame = video_capture.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=2.0,
minNeighbors=5,A minSize=(30, 30),
flags = 0
#flags=cv2.cv.CV_HAAR_SCALE_IMAGE
)
# 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)
# Display the resulting frame
cv2.imshow('Video', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
# Write frame in file
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
cv2.imwrite('only_face.jpg')
break
# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()
The above code is detecting faces from live feed of camera and saving image of only one face. i want to save image of multiple faces that are detected from the feed. It only saves image of one face
See what I have included here:
import cv2
import sys
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
video_capture = cv2.VideoCapture(0)
increment = 0 #---Declare a variable that will increment for every image saved
while True:
# Capture frame-by-frame
ret, frame = video_capture.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(gray, scaleFactor=2.0, minNeighbors=5,A minSize=(30, 30), flags = 0
#flags=cv2.cv.CV_HAAR_SCALE_IMAGE
)
# 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)
# Display the resulting frame
cv2.imshow('Video', frame)
increment = increment + 1 #--- Initiate the increment variable
if cv2.waitKey(1) & 0xFF == ord('q'):
# Write frame in file
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
cv2.imwrite('only_face' + str(increment) + '.jpg') #--- Here is where the increment variable is placed. It will be incremented for every face and thus saving every face that gets detected.
break
# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()
I have included the increment variable, which will be incremented for every face detected thus saving every image separately.