import cv2
cam = cv2.VideoCapture('tcp://192.168.1.1:5555')
running = True
while running:
# get current frame of video
running, frame = cam.read()
if running:
cv2.imshow('frame', frame)
if cv2.waitKey(1) & 0xFF == 27:
# escape key pressed
running = False
else:
# error reading frame
print 'error reading video feed'
cam.release()
cv2.destroyAllWindows()
The above code doesn't work for video stream in ARDRONE 2.0
Can somebody provide a fix or any alternate solution to get the video stream of ARDRONE when it is flying ?
five minutes googling ;-) e.g. have a look at this this
Related
This question already has answers here:
How to load a video in opencv(python)
(5 answers)
Closed 1 year ago.
I am reading a video here:
VideoCap = cv2.VideoCapture("E:\Omar's Stuff\College related\Forth Year\Project\Kalman Filter
code\video_randomball.avi")
ret, frame = VideoCap.read()
and sending the frames to a detect function here:
# Detect object
centers = detect(frame,debugMode)
trying to convert here:
def detect(frame,debugMode):
# Convert frame from BGR to GRAY
#frame = frame.astype('uint8')
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
and getting this error:
OpenCV(3.4.2) c:\projects\opencv-python\opencv\modules\imgproc\src\color.hpp:253: error:
(-215:Assertion failed) VScn::contains(scn) && VDcn::contains(dcn) && VDepth::contains(depth) in
function 'cv::CvtHelper<struct cv::Set<3,4,-1>,struct cv::Set<1,-1,-1>,struct
cv::Set<0,2,5>,2>::CvtHelper'
how to fix it?
Something wrong with the video file path that you have passed in cv2.VideoCapture() method so try to correct the path and if not able to correct then simply drag and drop the video file along with the python script folder then it will work.
Here is sample code to read the video in the same directory where the python script is located
import cv2
import numpy as np
# Create a VideoCapture object and read from input file
cap = cv2.VideoCapture('tree.mp4')
# Check if camera opened successfully
if (cap.isOpened()== False):
print("Error opening video file")
# Read until video is completed
while(cap.isOpened()):
# Capture frame-by-frame
ret, frame = cap.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
cap.release()
# Closes all the frames
cv2.destroyAllWindows()
I can able to access the inbuilt laptop camera with the following code
import cv2
#import numpy as np
cap = cv2.VideoCapture(0)
while (True):
ret, frame = cap.read()
key = cv2.waitKey(20)
cv2.imshow("preview", frame)
if key == 27: # exit on ESC
break
cap.release()
cv2.destroyAllWindows()
I connected a USB camera. I gave 1 instead of 0 to access it. but it is showing an error. By changing it to between -1 and -99, I can access the inbuilt cam only. How can I access the USB cam? I checked the working condition of USB cam with cheese. It is working fine.
I have an RTP/RTSP stream that's running at 25fps, as verified by ffprobe -i <URI>. Also, VLC plays back the RTSP stream at a real-time rate, but doesn't show me the FPS in the Media Information window.
However, when I use OpenCV 4.1.1.26 to retrieve the input stream's frame rate, it is giving me a response of 90000.0.
Question: How can I use OpenCV to probe for the correct frame rate of the RTSP stream? What would cause it to report 90000.0 instead of 25?
Here's my Python function to retrieve the frame rate:
import cv2
vid : cv2.VideoCapture = cv2.VideoCapture('rtsp://192.168.1.10/cam1/mpeg4')
def get_framerate(video: cv2.VideoCapture):
fps = video.get(cv2.CAP_PROP_FPS)
print('FPS is {0}'.format(fps))
get_framerate(vid)
MacOS Catalina
Python 3.7.4
I hope this helps you somehow. It is a simple calculator that takes cont captures and measure the beginning and the ending time. Then with the rule of three, i converted it to fps.
Related to you second question i read here that it could be due to bad installation. Also, you can check that your camera is working properly by printing ret variable. If it is true then you should be able to see the fps, if it is false then you can have an unpredictable result.
cv2.imshow() and key = cv2.waitKey(1) should be commented as it adds ping/delay resulting in bad measurement.
I post this as a comment because i do not have enough reputation points.
img = cv2.VideoCapture('rtsp://192.168.1.10/cam1/mpeg4')
while True:
if cont == 50:
a = datetime.now() - start
b = (a.seconds * 10e6 + a.microseconds)
print((a.seconds * 10e6 + a.microseconds), "fps = ", (50 * 10e6)/ b)
break
ret, frame = img.read()
# Comment for best test
cv2.imshow('fer', frame)
key = cv2.waitKey(1)
if key == ord('q'):
break
cont+=1
img.release()
cv2.destroyAllWindows()`
I have a Garmin VIRB XE camera, and want to get a live stream and interact with camera like getting GPS data. I could get the live stream by VLC media player and also could post commands to the camera by CURL from windows command prompt, but i can't get the live stream using OpenCV and interact with camera using requests library in python.
I can get a live stream from "rtsp://192.168.1.35/livePreviewStream" using VLC media player's network streaming feature, also could interact with camera, for example by "curl --data "{\"command\":\"startRecording\"}" http://192.168.1.35/virb" from command prompt I could start the recording, but the following codes are not working.
'''
import simplejson
import requests
url='http://192.168.1.37:80/virb'
data = {'command':'startRecording'}
r=requests.post(url, simplejson.dumps(data))
'''
or
'''
import cv2
capture = cv2.VideoCapture("rtsp://192.168.1.35/livePreviewStream")
'''
The post return the error
"ProxyError: HTTPConnectionPool(host='127.0.0.1', port=8000): Max retries exceeded with url: http://192.168.1.37:80/virb (Caused by ProxyError('Cannot connect to proxy.', RemoteDisconnected('Remote end closed connection without response')))".
Also the capture could not get any frames.
Since you have already confirmed that your RTSP link works with VLC player, 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
Python 3.5.2, anaconda 4.2.0 on Windows 10.
OpenCV installed from conda, version 3.1.0.
I'm trying to process a video file by opening it, transforming each frame, and putting the result into a new video file. The output file is created, but the size is about 800 bytes and its empty. The input file has ~4,000 frames and it's about 150 MB.
Here's my code, which follows the guide on the OpenCV documentation pretty closely.
import cv2
import progressbar
# preprocess video
# args.input is a valid file name
outname = 'foo.mp4'
cap = cv2.VideoCapture(args.input)
codec = int(cap.get(cv2.CAP_PROP_FOURCC))
framerate = app_config.camera.framerate #240
size = (app_config.camera.width, app_config.camera.height) #1080 x 720
vw = cv2.VideoWriter(filename=outname, fourcc=codec, fps=framerate, frameSize=size, isColor=False)
curframe = 0
with progressbar.ProgressBar(min_value=0, max_value=int(cap.get(cv2.CAP_PROP_FRAME_COUNT))) as pb:
while cap.isOpened():
ret, frame = cap.read()
if ret:
#update the progress bar
curframe += 1
pb.update(curframe)
# convert to greyscale
grey = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# invert colors
inverted = cv2.bitwise_not(grey)
vw.write(inverted)
#cv2.imshow('right', right)
#if cv2.waitKey(1) & 0xFF == ord('q'):
# break
else:
break
cap.release()
vw.release()
cv2.destroyAllWindows()
I receive the following error:
OpenCV: FFMPEG: tag 0x7634706d/'mp4v' is not supported with codec id 13 and format 'mp4 / MP4 (MPEG-4 Part 14)'
OpenCV: FFMPEG: fallback to use tag 0x00000020/' ???'
I receive similar errors (as well as a warning that I have an incorrect environment variable for h.264 library path) if i try to set codec = cv2.VideoWriter_fourcc(*'H264').
Ensure that the dimensions of inverted match the dimensions of the size parameter in the videoWriter definition.
Also use 'M','P','4','V' codec with the .mp4 container.