We Keep Coding

How to take a photo with OpenCV at a higher resolution than the video resolution on a usb camera?

i got an usb cam that support "live mode" aka video and "snapshot mode".
The max resolution for snapshot mode is 4128 X 3096.
import cv2
from cv2 import CAP_DSHOW
cap = cv2.VideoCapture(0,CAP_DSHOW)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 4128)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 3096)
ret,frame = cap.read()
while(True):
cv2.imshow('img1',frame)
if cv2.waitKey(1) & 0xFF == ord('y'):
cv2.imwrite("c10.png",frame)
cv2.destroyAllWindows()
break
cap.release()
Doc
I tried every resolutions higher than full HD but i cannot get an image with a resolution higher than 1920*1080px.
Thanks for the help.
EDIT: Does anyone know a simple way to grab a frame from a USB camera at a desired resolution in python ? I tried a pygame example but only got a black image even if my camera is detected at [0].

Unable to read the webcam stream : VideoCapture

I'm working on Windows10 and coding in Python.
I'm trying to read live stream from webcam.
webcam = cv2.VideoCapture(0)
(rval, im) = webcam.read()
After I checked value of 'im'; it is 'None'.
Am I missing anything? Please help.

import cv2
import numpy as np
webcam = cv2.VideoCpature(0) # If 0 doesn't work try swapping it with 1
while True:
ret, frame = webcam.read()
cv2.imshow("frame", frame)
cv2.waitKey(1)
webcam.release()
cv2.destroyAllWindows()
try running that (source)

I have this problem with opencv python on Macbook

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.

OpenCV & Python - Real time image (frame) processing

We're doing a project in school where we need to do basic image processing. Our goal is to use every video frame for the Raspberry Pi and do real time image processing.
We've tried to include raspistill in our python-program but so far nothing has worked. The goal of our project is to design a RC-car which follows a blue/red/whatever coloured line with help from image processing.
We thought it would be a good idea to make a python-program which does all image processing necessary, but we currently struggle with the idea of bringing recorded images into the python program. Is there a way to do this with picamera or should we try a different way?
For anyone curious, this is how our program currently looks
while True:
#camera = picamera.PiCamera()
#camera.capture('image1.jpg')
img = cv2.imread('image1.jpg')
width = img.shape[1]
height = img.shape[0]
height=height-1
for x in range (0,width):
if x>=0 and x<(width//2):
blue = img.item(height,x,0)
green = img.item(height,x,1)
red = img.item(height,x,2)
if red>green and red>blue:

OpenCV already contains functions to process live camera data.
This OpenCV documentation provides a simple example:
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()
Of course, you do not want to show the image but all your processing can be done there.
Remember to sleep a few hundred milliseconds so the pi does not overheat that much.
Edit:
"how exactly would I go about it though. I used "img = cv2.imread('image1.jpg')" all the time. What do I need to use instead to get the "img" variable right here? What do I use? And what is ret, for? :)"
ret indicates whether the read was successful. Exit program if not.
The read frame is nothing other than your img = cv2.imread('image1.jpg') so your detection code should work exactly the same.
The only difference is that your image does not need to be saved and reopened. Also for debugging purposes you can save the recorded image, like:
import cv2, time
cap = cv2.VideoCapture(0)
ret, frame = cap.read()
if ret:
cv2.imwrite(time.strftime("%Y%m%d-%H%M%S"), frame)
cap.release()

You can use picamera to acquire images.
To make it "real time", you can acquire data each X milliseconds. You need to set X depending on the power of your hardware (and the complexity of the openCV algorithm).
Here's an example (from http://picamera.readthedocs.io/en/release-1.10/api_camera.html#picamera.camera.PiCamera.capture_continuous) how to acquire 60 images per second using picamera:
import time
import picamera
with picamera.PiCamera() as camera:
camera.start_preview()
try:
for i, filename in enumerate(camera.capture_continuous('image{counter:02d}.jpg')):
print(filename)
time.sleep(1)
if i == 59:
break
finally:
camera.stop_preview()

Webcam + Open CV Python | Black screen

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.