when i run this code:
from cv2 import *
image = cv2.VideoCapture(0, cv2.CAP_DSHOW)
fourcc_cod = cv2.VideoWriter_fourcc(*"XVID")
name = input()
video = cv2.VideoWriter(f"{name}.AVI",fourcc_cod,60,(640,480))
while (True):
check,frame = image.read()
frame1 = cvtColor(frame, cv2.COLOR_BGR2GRAY)
video.write(frame1)
cv2.imshow('myimage',frame1)
if waitKey(1) ord('q'):
cv2.destroyAllWindows()
video.release()
image.release()
it does not stop recording the video Even if I press "q"
Try this snippet.
import cv2
cap = cv2.VideoCapture(0)
name = input()
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter(f'{name}.avi', fourcc, 20.0, (640, 480))
while True:
ret, frame = cap.read()
frame = cv2.flip(frame, 0)
# uncomment belove line for grayscale
# frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# write the flipped frame
out.write(frame)
cv2.imshow('frame', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# Release everything if job is finished
cap.release()
out.release() # video file writer
cv2.destroyAllWindows()
Related
i m running a code and its giving this attribute error pls help
the error that is shows while running the code
the code i am using:_
import cv2
from deepface import DeepFace
faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
cap = cv2.VideoCapture(0)
if not cap.isOpened():
cap = cv2.VideoCapture(0)
if not cap.isOpened():
raise IOError("Cannot open webcam")
while True:
ret, frame = cap.read()
result = DeepFace.analyze(frame, actions = ["emotion"])
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(gray,1.1,4)
for(x,y,w,h) in faces:
cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2)
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText('video',frame)
if cv2.waitKey(2) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
import cv2
import numpy as np
import tensorflow as tf
model = tf.keras.models.load_model("oneptwoside.model")
CATEGORIES = ["front", "back"]
cap = cv2.VideoCapture(0)
if cap.isOpened():
ret, frame = cap.read()
else:
ret = False
while ret:
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.imshow('frame',gray)
IMG_SIZE = 200
img_array = cv2.imread(frame, cv2.IMREAD_GRAYSCALE)
new_array = cv2.resize(img_array, (IMG_SIZE, IMG_SIZE))
prediction = model.predict([img_array])
print(prediction)
print(CATEGORIES[int(prediction[0][0])])
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
I cant make predictions with my webcam. I try the same code in image it's working fine with a little bit of tweak. However in video is always not reading the frame or some resizing issue
if cap.isOpened():
ret, frame = cap.read()
else:
ret = False
while ret:
curr_time = time.time()
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
curTime = time.time()
sec = curTime - prevTime
prevTime = curTime
fps = 1/(sec)
str = "FPS : %0.1f" % fps
cv2.putText(frame, str, (0, 100), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 150, 0))
cv2.imshow('frame',gray)
cv2.imshow('color', frame)
if curr_time - last_recorded_time >= 0.0001:
last_recorded_time = curr_time
IMG_SIZE = 200
#img_array = cv2.imread('frame', cv2.IMREAD_GRAYSCALE)
frame = cv2.resize(frame, None, fx=0.5, fy=0.5)
frame = cv2.resize(frame, (IMG_SIZE, IMG_SIZE))
#frame = frame[np.newaxis, ...]
frame = frame.reshape((-1, 200, 200, 1))
cv2.rectangle(frame,(200,0),(150,128),(0,255,0),3)
prediction = model.predict([frame])
#prediction = model.predict([frame])
print(prediction)
print(CATEGORIES[int(prediction[0][0])])
if cv2.waitKey(1) & 0xFF == ord('q'):
break
here is a solution not ideal but it's working
I am using the following code on python 3.7
import cv2
import numpy as np
face_cascade = cv2.CascadeClassifier('D:\\ET\\haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('D:\\ET\\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,eh) 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()
the following is installed:
opencv-contrib-python-3.4.4.19
The error is telling you that cv2 doesn't have anything called rectange, but it does have something called rectangle. You misspelled it:
cv2.rectange(img,(x,y),(x+w,y+h),(255,0,0),2)
here is my code which i tried. video file is creating after the code run but video file is not playing. i have trouble to understand?
import cv2
cap = cv2.VideoCapture(0)
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('C:/Users/DarkLord/Downloads/output1.avi',fourcc, 20,(1920,1000))
while(cap.isOpened()):
ret, frame = cap.read()
out.write(frame)
if ret==True:
cv2.imshow('frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
else:
break
cap.release()
out.release()
cv2.destroyAllWindows()
Try this.
It might help
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
# Define the codec and create VideoWriter object
#fourcc = cv2.cv.CV_FOURCC(*'DIVX')
#out = cv2.VideoWriter('C:/Users/DarkLord/Downloads/output1.avi',fourcc, 20,(1920,1000))
out = cv2.VideoWriter('C:/Users/DarkLord/Downloads/output1.avi', -1, 20,(1920,1000))
while(cap.isOpened()):
ret, frame = cap.read()
if ret==True:
frame = cv2.flip(frame,0)
# write the flipped frame
out.write(frame)
cv2.imshow('frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
else:
break
# Release everything if job is finished
cap.release()
out.release()
cv2.destroyAllWindows()
The size of your video must be the same as the size of your camera reading frame.
Fix the code like this.
import cv2
cap = cv2.VideoCapture(0)
fourcc = cv2.VideoWriter_fourcc(*'XVID')
size = (int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)), int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)))
out = cv2.VideoWriter(r'C:/Users/DarkLord/Downloads/output1.avi',fourcc, 20,size)
while(cap.isOpened()):
ret, frame = cap.read()
out.write(frame)
if ret==True:
cv2.imshow('frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
else:
break
cap.release()
out.release()
cv2.destroyAllWindows()
When i try to save a image using cv2.imwrite() method, it save a file in 640x480 pixel size. My web cam is FUll HD (1920×1080 px). How can i save the picture in this FHD size.
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Our operations on the frame come here
#gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Display the resulting frame
cv2.imshow('frame', frame)
cv2.imwrite('a.jpg',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
cap.set(3, 1920)
cap.set(4, 1080)
cap.set(6, cv2.VideoWriter.fourcc('M', 'J', 'P', 'G'))
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Our operations on the frame come here
#gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Display the resulting frame
cv2.imshow('frame', frame)
cv2.imwrite('a.jpg',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()