software trigger in cpp

[Bardia-Khodadadeh]

Hi there i want cpp code with similar functionality to this c# code below

private void IC_SoftWareTrigger() { TIS.Imaging.VCDButtonProperty SoftTrigger = (TIS.Imaging.VCDButtonProperty)icImagingControl1.VCDPropertyItems.FindInterface(TIS.Imaging.VCDIDs.VCDID_TriggerMode + ":{FDB4003C-552C-4FAA-B87B-42E888D54147}:" + TIS.Imaging.VCDIDs.VCDInterface_Button); if (SoftTrigger != null) { SoftTrigger.Push(); } }

[TIS-Stefan]

Hello

Please look at https://github.com/TheImagingSource/tiscamera/blob/master/examples/c/06-softwaretrigger.c

I hope, this helps.

[Bardia-Khodadadeh]

@TIS-Stefan Thanks for the answer how can get the frames of camera as a Mat so i can use them later on? like saving the Mats or process them using opencv

[TIS-Stefan]

Hello

The code in https://github.com/TheImagingSource/Linux-tiscamera-Programming-Samples/tree/master/python/python-common creates a numpy array from the GstBuffer. The __on_new_buffer() is the callback from the appsink, which is called, when a new frame comes in. You may use the tis.py class from the link above.

def __on_new_buffer(self, appsink):
        sample = appsink.get_property('last-sample')
        if sample and self.ImageCallback is not None:
            buf = sample.get_buffer()
            data = buf.extract_dup(0, buf.get_size())
            caps = sample.get_caps()
            self.img_mat = self.__convert_to_numpy(data, caps)
            self.ImageCallback(self, *self.ImageCallbackData)
        return Gst.FlowReturn.OK

def __convert_to_numpy(self, data, caps):
        ''' Convert a GStreamer sample to a numpy array
            Sample code from https://gist.github.com/cbenhagen/76b24573fa63e7492fb6#file-gst-appsink-opencv-py-L34

            The result is in self.img_mat.
        :return:
        '''

        s = caps.get_structure(0)
        fmt = s.get_value('format')

        if (fmt == "BGRx"):
            dtype = numpy.uint8
            bpp = 4
        elif (fmt == "GRAY8"):
            dtype = numpy.uint8
            bpp = 1
        elif (fmt == "GRAY16_LE"):
            dtype = numpy.uint16
            bpp = 1
        else:
            raise RuntimeError(f"Unknown format in conversion to numpy array: {fmt}")

        img_mat = numpy.ndarray(
            (s.get_value('height'),
             s.get_value('width'),
             bpp),
            buffer=data,
            dtype=dtype)
        return img_mat

I would like to point you to the other samples at https://github.com/TheImagingSource/Linux-tiscamera-Programming-Samples/tree/master/python, because they may do what you want.

Stefan