Fnoop's profile - activity

Correct method to specify -mfpu compile flag? Hi, I raised an issue in github for this because I thought it might be a b

Doh, can't believe I missed that option. Thanks, will try saving and see how I get on!

Thanks for the responses, I've edited the main question again with updates.

Bit of success, I'm now getting successful captures in better light conditions. But I can't get a successful calibration, it never ends. I've edited the main question with more details and screenshot.

Thanks for the response :) The print looks to be the same ratio, the only difference is the white border around the edges isn't as large as they expanded the pattern most of the way to the edge. The problem with the resolution is I don't know what the camera is returning - I assume that the calibrator is capturing using v4l2 and setting the resolution. My camera usually returns 640x480 by default but clearly the calibrator is capturing at a much higher widescreen format.

I'm guessing the --sz parameter is in mm so I've measured the distance between center of adjacent squares (one aruco, one black) on the pattern which is 65mm and used that. So --sz=65. Still getting frame rejected, it's as soon as I get all the pattern squares into view and it recognises all the aruco IDs, it flashes white and says frame rejected. All this rejection is harshing my buzz :(

@StevenPuttemans - sure will do, if I ever get anywhere. After eventually finding the interactive installer now I'm getting the aruco symbols recognised but every frame rejected.

OK I've compiled aruco/create_board_charuco and created a board as similar as possible to the one shown in the aruco calibration doc: ./create_charuco -w=8 -h=5 --ml=50 --sl=80 -d=14 ~/charuco-pattern.png No idea if this will work, will update with results.

Thanks, that would be useful info on the calibration page. The charuco image is heavily pixelated/compressed and isn't the recommended one for calibration (aruco signs on the corners).

Sorry, should have said patterns:

Supported patterns:

Black-white chessboard
Asymmetrical circle pattern
Dual asymmetrical circle pattern
chAruco (chessboard with Aruco markers)

Where are the calibration images referenced here? http://docs.opencv.org/3.2.0/d7/d21/t...

I cannot for the life of me work out how to get this working in python. I have got it working in c++:

cv::VideoWriter writer;
writer.open("appsrc ! autovideoconvert ! v4l2video1h264enc extra-controls=\"encode,h264_level=10,h264_profile=4,frame_level_rate_control_enable=1,video_bitrate=2000000\" ! h264parse ! rtph264pay config-interval=1 pt=96 ! udpsink host=192.168.x.x port=5000 sync=false", 0, 30, cv::Size(640, 480 ), true);

Exactly the same thing in python either gives vague errors or just sits there doing nothing.

Hi, is it possible to use VideoWriter to output directly to gstreamer, something like below? It would be a lot simpler than pushing buffers to appsrc, which I can't find any working code for (python, gstreamer 1.0).

#!/usr/bin/python
import time, os, sys
import cv2
fourcc = cv2.VideoWriter_fourcc(*'MJPG')
stream = cv2.VideoWriter("appsrc ! x264enc ! h264parse ! rtph264pay config-interval=1 pt=96 ! udpsink host=192.168.1.x port=5000 sync=false", fourcc, 30, (1280,720))
capture = cv2.VideoCapture("v4l2src device=/dev/video0 ! image/jpeg,width=1280,height=720,framerate=30/1 ! decodebin ! videoconvert ! appsink")
while True:
    ret,frame=capture.read()
    stream.write(frame)
capture.release()
stream.release()
cv2.destroyAllWindows()