When I try to open and play a video, the code runs and finishes in 0.2 seconds, without any errors or playing the actual video. The code finishes without doing anything.
import numpy as np
import cv2
cap = cv2.VideoCapture(r'C:\Users\Hayden\Desktop\test.mp4')
while(cap.isOpened()):
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.imshow('frame',gray)
if cv2.waitKey(30) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
The only recommendation I've seen for this is to change the waitKey parameter to 1, but that doesn't make a difference right now.
I appreciate any and all help!
I would recommend you use os.startfile.
You have to import os then say I had a file in a directory path C:\Users\me\Videos
Then I would do,
os.startfile('C:\Users\me\Videos'). This is if you are on Windows, if you are not,
don't include the 'C:\' in that. If you get a unicode error in the path, use double backslashes.
os.startfile('C:\\Users\\me\\Videos')
Related
My problem is when I try to run this code on my Mac, the camera turns on the green light but it doesn't open at all. I have no idea why this is happing. I tried a lot of things but nothing worked for me, I am just thinking the new update from Apple messed up some stuff, because it used to work before.
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_BGR2BGRA)
# Display the resulting frame
cv2.imshow('frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
In mac you have to use the Mac Terminal for the cv2 library since currently no other terminal to my knowledge asks for the camera permission.
After cap.release() the only Frame is getting closed, webcam light is still ON.
import cv2
cap = cv2.VideoCapture(0)
#cap = cv2.VideoCapture(-1) if i give '-1' instead of '0' then light is getting OFF
#but camera is not working because i don't have second camera to laptop.
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',gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cap.isOpened() #returns False
cv2.destroyAllWindows()
By pressing 'q', the Frame is getting closed but webcam light is still ON.
How to OFF the webcam? (It is getting OFF after python shell is closed.)
If possible, tell me the path of cv2.VideoCapture() class source code.
Set OPENCV_VIDEOIO_PRIORITY_MSMF=0 in your environment variables. Seems like there is an instance leak in opencv library. If you're on windows maybe use setx in your cmd to set the value setx OPENCV_VIDEOIO_PRIORITY_MSMF 0.
Reference to the issue : here
And it looks like the issue has been fixed too. So try updating your opencv library or reinstalling altogether.
That should solve your problem.
I'm trying to read a video file in opencv (python 2.7), and I just copied the example in the opencv tutorial, but nothing happens:
import numpy as np
import cv2
cap = cv2.VideoCapture('input.mp4')
while(cap.isOpened()):
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.imshow('frame',gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
The function cap.isOpened always returns FALSE.I have already tried to use absolute path in the argument of VideoCapture, but I still get the same result. What am I getting wrong?
Maybe your OpenCV version is not properly installed. You can check your build infos with print cv2.getBuildInformation() if there is any weird components.
I would suggest to rebuild it, or install it via Anaconda to be sure not to miss any package.
You need to define video location or move the video where python is installed
Keep the full path of the video file.
For example :-
cap = cv2.VideoCapture("D:\\Video Folder\\input.mp4")
I believe this would solve this issue.
I run this (first one) example that launches the webcam of my latop so that I can see myself on the screen.
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',gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
I installed OpenBr on Ubuntu 14.04 LTS and I run successfully this command on a picture of myself:
br - gui -algorithm ShowFaceDetection -enrollAll -enroll /home/nakkini/Desktop/myself.png
The above command I run on the Terminal displays my picture and draws a square around my face (face detection), it also highlights my eyes in green.
My Dream:
I wonder if there is a way to combine this command with the short program above so that when the webcam is launched I can see my face surrounded by the green rectangle ?
Why do I need this ?
I found similar programs in pure OpenCV/Python for this purpos. However, for later needs, I need more things than the simple face detection and I judge by myself that OpenBR will save me lot of headache. That is why I am looking for a way to run the command line somewhere inside the code above as a first but big step.
Hints:
The frame in the code corresponds to myself.png of the command line. The solution to be found will try to pass frame in the place of myself.png to the command line within the program itself.
Thank you very much in advance.
EDIT:
After correcting the typos of #Xavier's solution I have no errors. However the program does not run as I want it:
First, the camer is launched and I see myself but my face is not detected with a green rectangle. Secondly, I press any key to exit but the program does not exit: it shows me a picture of myself with my face detected. A last key press exists the program. My goal is to see my face detected during the camera functionment.
you do not need openbr for this at all.
just see opencv's python face-detect tutorial
something like this should work
import numpy as np
import cv2
import os
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',gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
cv2.imwrite( "/home/nakkini/Desktop/myself.png", gray );
os.system('br - gui -algorithm -ShowFaceDetection -enrollAll -enroll /home/nakkini/Desktop/myself.png')
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
I am using the code below, but I get a black image. Could you please help me rectify the error?
import cv2
import numpy as np
c = cv2.VideoCapture(0)
while(1):
_,f = c.read()
cv2.imshow('e2',f)
if cv2.waitKey(5)==27:
break
cv2.destroyAllWindows()
Update: See github.com/opencv/opencv/pull/11880 and linked conversations, only few backends support -1 as index.
Although this is an old post, this answer can help people who are still facing the same problem. If you have a single webcam but it renders all black, use cv2.VideoCapture(-1). This will get you the working camera.
Just change cv2.waitKey(0) to cv2.waitKey(30) and this issue will be resolved.
I've faced with same problem. Updating neither opencv nor webcam driver works. I am using kaspersky as antivirus. When I disable the kaspersky, then black output problem solved.
BTW, I can see the running .py file in kaspersky console > reports > host intrusion prevention. It reports application privilege control rule triggered - application: myfile.py, result: blocked: access to video capturing devices
Try this:
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while(True):
ret, frame = cap.read()
cv2.imshow('frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
This worked for me:
I did a pip install imutils. Imutils is a library with series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, displaying Matplotlib images, sorting contours, detecting edges, and much more easier with OpenCV and both Python 2.7 and Python 3.
import cv2
import imutils
cap = cv2.VideoCapture(0) # video capture source camera (Here webcam of laptop)
ret, frame = cap.read() # return a single frame in variable `frame`
while (True):
# gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
(grabbed, frame) = cap.read()
frame = imutils.resize(frame, width=400)
cv2.imshow('img1', frame) # display the captured image
if cv2.waitKey(1) & 0xFF == ord('q'): # save on pressing 'y'
cv2.imwrite('capture.png', frame)
cv2.destroyAllWindows()
break
cap.release()
Try put -0 on the index and pause any antivirus running
import cv2
import numpy as np
cap = cv2.VideoCapture(-0)
cap.set(3,640)
cap.set(3,480)
while(True):
success, img = cap.read()
cv2.imshow('frame',img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
I faced the same issue after many calls with:
cap = cv2.VideoCapture(0)
and it solved when I changed the index to 1 :
cap = cv2.VideoCapture(1)
In my case just disabling Kaspersy has solved the problem.