I am trying to use the Axis Camera to locate green and pink flags. However, it fails when actually finding the colors. Here’s the relevant portion of my code so far:
int i = StartCameraTask();
StartImageAcquisition();
while (IsOperatorControl())
{
double timestamp;
Image *img = frcCreateImage(IMAQ_IMAGE_HSL);
int getImage = GetImage(img,×tamp);
TrackingThreshold tdata = GetTrackingData(GREEN, PASSIVE_LIGHT);
ParticleAnalysisReport par;
int findcolor = FindColor(IMAQ_HSL, &tdata.hue, &tdata.saturation,&tdata.luminance, &par);
}
StopImageAcquisition();
StopCameraTask();
I find the values of par, tdata, getImage, and findcolor using the debugger. It succeeds up to the call to FindColor. I am using the stock green flag. I’ve tried positioning it differently in front of the camera, but it still doesn’t recognize it!
I’ve tried it with PINK as well with the pink flag, and I’ve tried changing PASSIVE_LIGHT to FLORESCENT (neither work).
Has anyone had any success with getting the camera to recognize the flags/know what I’m doing wrong?
My friends and I are trying to get the Axis Camera to find the green/pink flags, but we are having a problem getting the camera to recognize anything and it didn’t say it failed to recognize the camera, so what could help make it work?
The camera is just not working all together, but it is connected and on so we are in a jam. any Ideas?
There will be example code posted soon that will do the detection of the two color targets. The code will be able to differentiate between the red and blue alliances.
I’m running WindRiver, and I’m running the SimpleTracker example code. I’ve used the NI Vision Assistant to get color values for my green vision target, and put those into the WindRiver code.
I’m getting terminal feedback from the CRIO (finally…but that’s another story), but the camera is failing to find any blobs matching the numbers that were obtained using the Vision Assistant.
There are bugs in the current versions of FindColor, GetLargestParticle and InArea. These have been fixed at the beta level and should be published shortly along with the pink-green demo that Brad mentioned above.
Oh ok that’s good to know. Thanks. Any ideas as to when the code with those functions fixed will be posted. I looked through the functions but couldn’t find the error (though I didn’t spend that much time since you said its already fixed). The sooner its up the better. On that note I just wanna thank all the people who wrote and are writing this library (it makes all our lives much easier).
(not directly to dave D)
If you’re a team that simply can’t wait, you can look at GetLargestParticle and FindColor in TrackApi.cpp. Notice that GetLargestParticle never actually returns the largest particle index to the 2nd parameter. The code to return isn’t there, and in the 2nd line of the function it actually blows away the pointer value so it becomes impossible to return the largest particle index. Since it’s probably not a good idea to go fiddling with the supplied code unless you know what you’re doing, I’ll leave it as an exercise to the reader to figure out what to do.
Further, in the full-size version of FindColor, its check for success is incorrect. Rather than "if(largestParticleIndex == 0), it seems that it should be if(largestParticleIndex >= 0) in case the largest particle is not the first one.
I helped team 1124 make the red/blue target tracker with great success (double thumbs up).
in labview, you basically copy the image from the camera, do a color threshold for each picture, do a particle report for each picture, and decide which one of those reports is the “top” color and which is the “bottom” color.
once you have that data, you run a loop as follows:
for each "top color:
check if the area of the color is big enough. if so:
for each “bottom” color:
check if the bottom color is directly below (with some tolerance) the “top” color.
add the “top” target to the output targets array
that basic algorithm allowed us to differentiate between red/green targets and green/red targets. there was a slight bit of extra post-processing to deal with multiple visible targets (basically you pick the uppermost one or the largest one etc).
what you do with the final target(s) is up to you… we cached the previous target position and velocity to do second-degree motion prediction for the target in case we lose it. (amongst other things)
can someone help me program the camera to track colors in labview? i can get it to recognize a color but i dont know how to get motors/servos to move when it sees a color
