I am trying to get video stream in python from IP camera but i am getting an error. I am Using Pycharm IDE.
import cv2
scheme = '192.168.100.23'
host = scheme
cap = cv2.VideoCapture('http://admin:Ebmacs8485867#'+host+':81/web/admin.html')
while True:
ret, frame = cap.read()
# Place options to overlay on the video here.
# I'll go over that later.
cv2.imshow('Camera', frame)
k = cv2.waitKey(0) & 0xFF
if k == 27: # esc key ends process
cap.release()
break
cv2.destroyAllWindows()
Error:
"E:\Digital Image Processing\python\ReadingAndDisplayingImages\venv\Scripts\python.exe" "E:/Digital Image Processing/python/ReadingAndDisplayingImages/ReadandDisplay.py"
Traceback (most recent call last):
File "E:/Digital Image Processing/python/ReadingAndDisplayingImages/ReadandDisplay.py", line 14, in <module>
cv2.imshow('Camera', frame)
cv2.error: OpenCV(4.0.1) C:\projects\opencv-python\opencv\modules\highgui\src\window.cpp:352: error: (-215:Assertion failed) size.width>0 && size.height>0 in function 'cv::imshow'
warning: Error opening file (/build/opencv/modules/videoio/src/cap_ffmpeg_impl.hpp:901)
warning: http://admin:Ebmacs8485867#192.168.100.23:81/web/admin.html (/build/opencv/modules/videoio/src/cap_ffmpeg_impl.hpp:902)
You're most likely getting that error due to an invalid stream link. Insert your stream link into VLC player to confirm it is working. Here's a IP camera video streaming widget using OpenCV and cv2.VideoCapture.read(). This implementation uses threading for obtaining frames in a different thread since read() is a blocking operation. By putting this operation into a separate that that just focuses on obtaining frames, it improves performance by I/O latency reduction. I used my own IP camera RTSP stream link. Change stream_link to your own IP camera link.
Depending on your IP camera, your RTSP stream link will vary, here's an example of mine:
rtsp://username:password#192.168.1.49:554/cam/realmonitor?channel=1&subtype=0
rtsp://username:password#192.168.1.45/axis-media/media.amp
Code
from threading import Thread
import cv2
class VideoStreamWidget(object):
def __init__(self, src=0):
# Create a VideoCapture object
self.capture = cv2.VideoCapture(src)
# Start the thread to read frames from the video stream
self.thread = Thread(target=self.update, args=())
self.thread.daemon = True
self.thread.start()
def update(self):
# Read the next frame from the stream in a different thread
while True:
if self.capture.isOpened():
(self.status, self.frame) = self.capture.read()
def show_frame(self):
# Display frames in main program
if self.status:
self.frame = self.maintain_aspect_ratio_resize(self.frame, width=600)
cv2.imshow('IP Camera Video Streaming', self.frame)
# Press Q on keyboard to stop recording
key = cv2.waitKey(1)
if key == ord('q'):
self.capture.release()
cv2.destroyAllWindows()
exit(1)
# Resizes a image and maintains aspect ratio
def maintain_aspect_ratio_resize(self, image, width=None, height=None, inter=cv2.INTER_AREA):
# Grab the image size and initialize dimensions
dim = None
(h, w) = image.shape[:2]
# Return original image if no need to resize
if width is None and height is None:
return image
# We are resizing height if width is none
if width is None:
# Calculate the ratio of the height and construct the dimensions
r = height / float(h)
dim = (int(w * r), height)
# We are resizing width if height is none
else:
# Calculate the ratio of the 0idth and construct the dimensions
r = width / float(w)
dim = (width, int(h * r))
# Return the resized image
return cv2.resize(image, dim, interpolation=inter)
if __name__ == '__main__':
stream_link = 'your stream link!'
video_stream_widget = VideoStreamWidget(stream_link)
while True:
try:
video_stream_widget.show_frame()
except AttributeError:
pass
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i tried to make a webcam video recording to a file using openCV python, i could not open the file with any of my video players. here is the code,
it works fine but I stop the recording and looking the file and it doesn't open. I guess there are some codec issues. I tried also (*'XVID') .avi format. but changed nothing.
here is the code
please help
from tkinter import *
from PIL import ImageTk, Image
import cv2
import threading
root = Tk()
root.geometry("750x500")
root.configure(bg="#0059aa")
#camera
camera_frame = LabelFrame(root, text=u"KAMERA STREAMING",
border=2,
width=398,
height=265)
camera_frame.place(x=183,y=33)
camera_label = Label(camera_frame,width=55,height=14)
camera_label.grid(row=0,column=0)
global capture
capture = cv2.VideoCapture(0)
# edit: close following two lines
# capture.set(3,250)
# capture.set(4,225)
global out
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter('blabla.mp4', fourcc, 20.0, (640, 480))
global stopCam
stopCam = False
def show_frames():
global capture
# read the capture
ret, frame = capture.read()
# turned into image and display
cv2image = cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)
height, width, channels = cv2image.shape
img = Image.fromarray(cv2image)
imgtk = ImageTk.PhotoImage(image = img)
camera_label.imgtk = imgtk
camera_label.configure(image=imgtk,width=width,height=height)
# record
global out
out.write(frame)
# quit
if (stopCam):
out.release()
capture.release()
cv2.destroyAllWindows()
return
camera_label.after(20,show_frames)
p1 = threading.Thread(target=show_frames)
buttonLabel = Label(camera_frame)
buttonLabel.grid(row=1,column=0)
connectButton = Button (buttonLabel, text=u"connect", command=p1.start, width=14)
connectButton.grid(row=0,column=0)
stopButton = Button(buttonLabel, text=u"stop", command= lambda: globals().update(stopCam=True) , width=14)
stopButton.grid(row=0,column=1)
root.mainloop()
edit (also solved way):
I looked at some code that worked properly. and I saw capture.set() as the difference. When I close the capture.set() lines, I had no problems with either streaming or recording. Now the main problem is that I have to show the video in a label with a certain size. Without set() the video size gets too big. how can i solve it now?
I am building an App which got several video filters. But the App is not working on Android cause => capture = cv.VideoCapture(0) doesnt get access to the android camera.
The Code below shows how i edit the Video footage of the App at the moment. On PC it works perfect. But after building it, it shows no
video footage on android
Buidlozer Spec got permission btw..
capture = cv.VideoCapture(0)
class BinaryCam(Image):
def on_kv_post(self, base_widget):
#self.capture = cv.VideoCapture(0)
# cv.namedWindow("CV2 Image")
Clock.schedule_interval(self.update, 1.0 / 33.0)
def update(self, dt):
# display image from cam in opencv window
ret, frame = capture.read()
if ret==True:
# cv.imshow("CV2 Image", frame)
gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
# convert it to texture
adaptive_thresh = cv.adaptiveThreshold(gray, 255, cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY, 11, 3)
buf1 = cv.flip(adaptive_thresh, 0)
buf = buf1.tobytes()
texture1 = Texture.create(size=(adaptive_thresh.shape[1], adaptive_thresh.shape[0]),
colorfmt='luminance') # in grayscale gibts kein bgr
# if working on RASPBERRY PI, use colorfmt='rgba' here instead, but stick with "bgr" in blit_buffer.
texture1.blit_buffer(buf, colorfmt='luminance', bufferfmt='ubyte') # replacing texture
# display image from the texture
self.texture = texture1
Or maybe is there a way to get the Camera Frames from the Kivy Camera and edit them with OpenCV.
But i really would prefer this method i showed here with OpenCV.
Thank you
If I use OpenCV to play video into its own window using this sort of logic:
cap = cv2.VideoCapture('video.mp4',cv2.CAP_FFMPEG)
while True:
ret, frame = cap.read()
if(ret):
cv2.imshow('', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
then it works well and smoothly. But if I use what appears to be the recommended way of playing into my own tkinter window, using the window.after() technique like this snippet:
def update(self):
# Get a frame from the video source
ret, frame = cap.read()
self.photo = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(frame))
self.canvas.create_image(0, 0, image = self.photo, anchor = tk.NW)
self.update_id = self.window.after(self.VIDEO_READ_DELAY, self.update)
it is slow and stutters badly. I've played with the update delay without any real success, so I'm guessing that the processing overhead of the image conversion is what's causing the problem.
Can imshow() be made to play into my tkinter canvas directly?
I am making a program that checks if the camera is connected, and if so, Show the webcam footage, The problem is: The way i structured my program i cannot have cap = cv2.videocapture() for the time it takes the command to execute. This makes sabotages for the showframe function and makes it only show a frame every ~1 second. Is there a different way to check if the camera is connected rather than cap = cv2.videocapture() and cap.isOpened()?
I also cannot have a while loop in my program because of the root.mainloop command for tkinter, However, if there is no way to check my camera status rather than cap.isOpened(), can i move the root.mainloop command somewhere where i can have a while True loop in my program?
I've tried both Multiprocessesing and Threading with no further success.
Heres some code:
from tkinter import * # Import the tkinter module (For the Graphical User Interface)
import cv2 # Import the cv2 module for web camera footage
import PIL # Import the pillow library for image configuration.
from PIL import Image, ImageTk # Import the specifics for Image configuration.
print("[INFO] Imports done")
width, height = 800, 600 # Define The width and height widget for cap adjustment
RootGeometry = str(width) + "x" + str(height) # Make a variable to adjust tkinter frame
print("[INFO] Geometries made")
ImageSource = 0
cap = cv2.VideoCapture(ImageSource) # First VideoCapture
cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
print("[INFO] Cap set")
root = Tk()
print("[INFO] Window made")
root.title("Main Window")
root.configure(background="white")
root.geometry(RootGeometry)
root.bind('<Escape>', lambda e: root.quit())
lmain = Label(root)
lmain.pack()
print("[INFO] Configuration of cap done.")
def ShowFrame():
ok, frame = cap.read()
if ok:
print("[INFO] Show frame Initialized.")
cv2image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)
img = PIL.Image.fromarray(cv2image)
imgtk = ImageTk.PhotoImage(image=img)
lmain.imgtk = imgtk
lmain.configure(image=imgtk)
print("[INFO] After 10 initializing")
lmain.after(10, ShowFrame)
print("[INFO] Showed image")
else:
lmain.after(10, CheckSource)
def CheckSource():
print("[INFO] CheckSource Triggered.")
cap = cv2.VideoCapture(ImageSource)
if cap.isOpened():
print("[INFO] [DEBUG] if Ok initialized")
if cv2.waitKey(1) & 0xFF == ord('q'):
cv2.destroyAllWindows()
cv2.waitKey(0)
print("[WARNING] Exiting app after command")
ShowFrame()
else:
print("[WARNING] No source found. Looking for source.")
lmain.after(10, CheckSource)
CheckSource()
root.mainloop()
print("[INFO] [DEBUG] Root.Mainoop triggered")
Any and all help would be very appreciated!
When there is no webcam/image source, cap.read() will be (False, none). Therefore you can check if a webcam is connected if you do something like:
import cv2
cap=cv2.VideoCapture(ImageSource)
while True:
if cap.read()[0]==False:
print("Not connected")
cap=cv2.VideoCapture(imageSource)
else:
ret, frame=cap.read()
cv2.imshow("webcam footage",frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
Hope this helps :)
You should not do a VideoCapture each frame, you only need to check if it exists. isOpened() is the proper function for that. If it does not yet exist, then retry the cam.
I modified your code:
def CheckSource():
print("[INFO] CheckSource Triggered.")
# check if cam is open, if so, do showFrame
if cap.isOpened():
print("[INFO] [DEBUG] if Ok initialized")
if cv2.waitKey(1) & 0xFF == ord('q'):
cv2.destroyAllWindows()
cv2.waitKey(0)
print("[WARNING] Exiting app after command")
ShowFrame()
else:
# cam is not open, try VideoCapture
print("[WARNING] No source found. Looking for source.")
cap = cv2.VideoCapture(ImageSource)
lmain.after(10, CheckSource)
I'm making a GUI in which one button will display the video and another button will start capturing frames from that video at certain intervals.
Here, are the functions that are called by the buttons:-
def capture(self):
global img_location
global camera
camera = cv2.VideoCapture(1)
return_value, image = camera.read()
time.sleep(2) #set the delay you want in frame
now_time = strftime("%Y-%m-%d %H:%M:%S", gmtime())
img_location = './timelapse_focus/'+FolderName+'/'+ now_time +'.jpg'
cv2.imwrite(img_location, image)
del(camera)
def display(self):
# Create a VideoCapture object and read from input file
# If the input is the camera, pass 0 instead of the video file name
# Check if camera opened successfully
camera = cv2.VideoCapture(1)
if (camera.isOpened()== False):
print("Error opening video stream or file")
# Read until video is completed
while(camera.isOpened()):
# Capture frame-by-frame
ret, frame = camera.read()
if ret == True:
# Display the resulting frame
cv2.imshow('Frame',frame)
# Press <q> on keyboard to exit
if cv2.waitKey(25) & 0xFF == ord('q'):
break
# Break the loop
else:
break
# When everything done, release the video capture object
camera.release()
# Closes all the frames
cv2.destroyAllWindows()
for i in range (1,5):
cv2.waitKey(1)
It's showing the following error:-
HIGHGUI ERROR: V4L2: Pixel format of incoming image is unsupported by OpenCV
VIDIOC_STREAMON: Bad file descriptor
Unable to stop the stream.: Bad file descriptor
To do the same I tried to declare the camera variable globally.
But it's not working. Even I used self. camera, it is also not working.
Please suggest something.
The problem here is that you try to open cv2.VideoCapture(1) both in the display(self) and in the capture(self). Set frame as self.frame in display(self) and use it in capture(self). Like this:
def capture(self):
time.sleep(2) #set the delay you want in frame
now_time = strftime("%Y-%m-%d %H:%M:%S", gmtime())
img_location = './timelapse_focus/'+FolderName+'/'+ now_time +'.jpg'
cv2.imwrite(img_location, self.frame)
def display(self):
# Create a VideoCapture object and read from input file
# If the input is the camera, pass 0 instead of the video file name
# Check if camera opened successfully
camera = cv2.VideoCapture(1)
if (camera.isOpened()== False):
print("Error opening video stream or file")
# Read until video is completed
while(camera.isOpened()):
# Capture frame-by-frame
ret, self.frame = self.camera.read()
if ret == True:
# Display the resulting frame
cv2.imshow('Frame',self.frame)
# Press <q> on keyboard to exit
if cv2.waitKey(25) & 0xFF == ord('q'):
break
# Break the loop
else:
break
# When everything done, release the video capture object
camera.release()
# Closes all the frames
cv2.destroyAllWindows()
for i in range (1,5):
cv2.waitKey(1)
This is only for capturing one frame each time you call capture(self). Otherwise you need to add a while loop and the method in a Thread in order not to crash your GUI.