Open cameras with MODEL NUMBER and/or SERIAL NUMBER about ic-imaging-control-samples HOT 12 CLOSED

You use the outdated Python implementation. It is no longer maintained. Therefore, you can no find a sample. Please look at https://github.com/TheImagingSource/IC-Imaging-Control-Samples/tree/master/Python/tisgrabber for the current version. Look at https://github.com/TheImagingSource/IC-Imaging-Control-Samples/blob/master/Python/tisgrabber/samples/02-open-manually.py in particular:

ic.IC_InitLibrary(0)
hGrabber = ic.IC_CreateGrabber()
ic.IC_OpenVideoCaptureDevice(hGrabber, tis.T("DFK Z30GP031"))

Stefan

from ic-imaging-control-samples.

from ic-imaging-control-samples.

Yes.

That is possible. Use the function "IC_OpenDevByUniqueName"
ic.IC_OpenDevByUniqueName(hGrabber[0],"DFK 33UX287 12345678")
ic.IC_OpenDevByUniqueName(hGrabber[1],"DFK 33UX287 12345679")
See the tisgrabber.chm for a documentation of the DLL:

Stefan

from ic-imaging-control-samples.

from ic-imaging-control-samples.

Hi,
I'm trting, but this is pain.
All I want to do is to get images of 4ms exposure in every 15ms and
feed them to OpenCV process.
My code works with outdated dlls.
Why do you eliminate simple and useful command like
img = Camera.GetImage() ??

thanks

from ic-imaging-control-samples.

Why do you eliminate simple and useful command like

Because it was no longer maintainable. When changing something in the tisgrabber.dll, I needed to make two additionally changes in the Python wrapper. That is was too much work overload. The biggest advantage is, that I do not need to declare every function exported by the tisgrabber.dll in particular. It can be used directly.

How to grab an image and convert it to an OpenCV cvMat is shown at https://github.com/TheImagingSource/IC-Imaging-Control-Samples/blob/master/Python/tisgrabber/samples/11-image-processing.py. From this, you can write a simple function for image grabbing:

def snapimage(hGrabber):
    image = None
    if ic.IC_SnapImage(hGrabber, 2000) == tis.IC_SUCCESS:
        # Declare variables of image description
        Width = ctypes.c_long()
        Height = ctypes.c_long()
        BitsPerPixel = ctypes.c_int()
        colorformat = ctypes.c_int()

        # Query the values of image description
        ic.IC_GetImageDescription(hGrabber, Width, Height,
                                  BitsPerPixel, colorformat)

        # Calculate the buffer size
        bpp = int(BitsPerPixel.value / 8.0)
        buffer_size = Width.value * Height.value * BitsPerPixel.value

        # Get the image data
        imagePtr = ic.IC_GetImagePtr(hGrabber)

        imagedata = ctypes.cast(imagePtr,
                                ctypes.POINTER(ctypes.c_ubyte *
                                               buffer_size))

        # Create the numpy array
        image = np.ndarray(buffer=imagedata.contents,
                           dtype=np.uint8,
                           shape=(Height.value,
                                  Width.value,
                                  bpp))
    return image                                      

You can enumerate and handle your four cameras as follows:

ic.IC_InitLibrary(0)
devicecount = ic.IC_GetDeviceCount()
grabbers = []
for i in range(0, devicecount):
    print("Device {}".format(tis.D(ic.IC_GetDevice(i))))
    uniquename = tis.D(ic.IC_GetUniqueNamefromList(i))
    print("Unique Name : {}".format(uniquename))

    # Uncomment this section, if you want to open all
    # video capture devices and show their live streams.

    g = ic.IC_CreateGrabber()
    ic.IC_OpenDevByUniqueName(g, tis.T(uniquename))
    grabbers.append(g)

Now you have a list containing objects for all connected cameras. Next step is configuration:

for grabber in grabbers:
    if(ic.IC_IsDevValid(grabber)):
        exposureauto = ctypes.c_long()
        #Gain
        ic.IC_SetPropertySwitch(grabber, tis.T("Gain"), tis.T("Auto"), 0)
        ic.IC_SetPropertyAbsoluteValue(grabber, tis.T("Gain"), tis.T("Value"),
                                   ctypes.c_float(0.0))
        #Exposure
        ic.IC_SetPropertySwitch(grabber, tis.T("Exposure"), tis.T("Auto"), 0)
        ic.IC_SetPropertyAbsoluteValue(grabber, tis.T("Exposure"), tis.T("Value"),
                                   ctypes.c_float(0.004))
        ic.IC_SetVideoFormat(grabber, tis.T("RGB32 (720x540)" ))
        ic.IC_SetFrameRate(grabber, ctypes.c_float(30.0))                                   
        # pass 0 instead of 1, if no video window should be visible
        ic.IC_StartLive(grabber, 1)

Snapping the images would be

mat0 = snapimage(grabbers[0])
mat1 = snapimage(grabbers[1])
mat2 = snapimage(grabbers[2])
mat3 = snapimage(grabbers[3])

I am not sure, whether this last one could be done in a loop too, because I am not that Python expert.

At the end of your program you have

for grabber in grabbers:
    if(ic.IC_IsDevValid(grabber)):
        ic.IC_StopLive(grabber)
        ic.IC_ReleaseGrabber(grabber)

I hope, this reduces your pain a little bit. And I am very sorry to cause so much pain to you.

Stefan

from ic-imaging-control-samples.

Hi,
They say no pain, no gain. Now I would say more pain, more gain.
I've read through tisgrabber.py, tisgrabber.h and TISGrabberGlobalDefs.h
again and realized that scripts are about the same.
Pain is because of my poor knowledge.

Based on your suggestion, my modified code works almost as expected.
2 more questions come up.

1. How to set "Brightness" value in code ?

2. What is the best way to get images with very short exposure in interval which is much longer than exposure time ?

thank you !

yuji

from ic-imaging-control-samples.

Hello Yuji

Thank you very much for your comment!
Setting Brightness:
ic.IC_SetPropertyRangeValue(grabber, tis.T("Brightness"), tis.T("Value"),ctypes.c_int(123))

What is the best way to get images with very short exposure in interval which is much longer than exposure time ?
If the exposure time is shorter than 1/fps, you do not really need to bother about this.

• If you want to get each image automatically:
  Use a callback. FrameReadyCallback. It is called every time, an image is received.

The FrameReadyCallback is called by the Grabber object. Each grabber object has its own thread, therefore, the FrameReadyCallbacks are running in own threads, so they are called in parallel for each of your four cameras.

Make sure, the image processing does not last long, that 1/framerate seconds.

The callback is explained at https://github.com/TheImagingSource/IC-Imaging-Control-Samples/blob/master/Python/tisgrabber/documentation-source/images.rst#frameready-callback

A complete sample for callbacks with many cameras is available at https://github.com/TheImagingSource/IC-Imaging-Control-Samples/blob/master/Python/tisgrabber/samples/41-qt-triggering.py As you can see, the callback function is define only once. All grabber objects use the same function in their thread. (That works!) (Triggering is not necessary, that can be disabled in that sample)

• If you want image on demand only, then you can use the usual snapimage code.

Stefan

from ic-imaging-control-samples.

Hi Stefan
It says "AttributeError: function 'IC_SetPropertyRangeValue' not found"

Did I make something wrong ?
Also I could not find 'IC_SetPropertyRangeValue' in "tisgrabber.py" nor "tisgrabber.h".

If you want image on demand only, then you can use the usual snapimage code.

In above case, snapped image is newest. Yes or No ?

Thank you.

from ic-imaging-control-samples.

My fault. The function is IC_SetPropertyValue():

from ic-imaging-control-samples.

Hi Stefan,
Now it works !
This will be on site next month.
In case of another issue, I will contact you.
I really appreciate your continuing cooperations !
Arigatou Gozaimasita !

yuji

from ic-imaging-control-samples.

Hello Yuji-san

Thank you very much. (I am sorry, my Japanese is totally insufficient)

Stefan

from ic-imaging-control-samples.