OpenCV Capture or Webcam Capture ? about visicam HOT 9 CLOSED

The VisiCam project is pre-alpha I fear. The webcam-capture branch is only one commit ahead, which just includes the library and replaces the capture-call. I don't know anymore if it worked, so you will have to try. I think the simplest solution would be to use an external command for the webcam-capture, like "fswebcam" or "uvcapture". You can enter that command in the web-interface.

I would still vote for a re-implementation of VisiCam either with a RaspberryPi and the PiCam, or as a android/iOS app. But as always, time is the enemy

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If I recall correctly, the native openCV capture didn't work... but try both branches.

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I think that would be interesting, because of the nice camera module it's a very solution.
I found and improved an enclosure for a raspberry pi and a camera module: http://www.thingiverse.com/thing:178628

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Didn't work specifically on Raspberry Pi's or in general?

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I think it didn't work in general. How do you access the PiCam? Maybe there is a tool for capturing a hi-res picture and saving it to jpeg? This can be used by VisiCam...

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You're right, there is a nice commandline tool for this; raspistill
http://www.raspberrypi.org/camera

I did found the custom command configuration, so I was hoping I could do something like that.

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Unfortunately I do not have a camera module yet, so I cannot test. But it should be easy. VisiCam still requires four round markers in the corners (circles in circles). But I was planning to make just a generic edge-detection and use assume they are perpendicular and thus use their corners for the homography...

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So, when you use the custom capture command you don't use opencv capture or the webcam capture library?
I did quite some computer vision projects, but all in openFrameworks (framework for artists in c++), and dragging that into this project feels wrong. Maybe if I can't get this to work I'll try something in basic c / c++.

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Nope... I just use the custom command and expect the JPEG file to be present after. I still use OpenCV for the marker-detection and homography. I wanted to avoid c/c++ to prevent the deployment and dependency-hell. If we only use the raspberry pi however, It would be just an sd-card image, so c++ would be ok. On the other hand, most of the features are available as pure-java libraries like boof-cv etc. This would then be creating just one jar and run it on all platforms...

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