Issue with beammark and rois

There looks to be an issue with beammark persisting which is outside the current image size. I guess this has happened by clicking on the beamviewer, then applying an roi, and then the beammark is outside the range of the available image. This breaks image viewing completely as asking for device.bvdata returns:

>>> d.bvdata
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/users/blissadm/conda/miniconda/envs/bliss_dev/lib/python3.7/site-packages/tango/device_proxy.py", line 288, in __DeviceProxy__getattr
    return __get_attribute_value(self, attr_info, name)
  File "/users/blissadm/conda/miniconda/envs/bliss_dev/lib/python3.7/site-packages/tango/device_proxy.py", line 251, in __get_attribute_value
    attr_value = self.read_attribute(name).value
  File "/users/blissadm/conda/miniconda/envs/bliss_dev/lib/python3.7/site-packages/tango/green.py", line 195, in greener
    return executor.run(fn, args, kwargs, wait=wait, timeout=timeout)
  File "/users/blissadm/conda/miniconda/envs/bliss_dev/lib/python3.7/site-packages/tango/green.py", line 109, in run
    return fn(*args, **kwargs)
  File "/users/blissadm/conda/miniconda/envs/bliss_dev/lib/python3.7/site-packages/tango/device_proxy.py", line 398, in __DeviceProxy__read_attribute
    return __check_read_attribute(self._read_attribute(value, extract_as))
  File "/users/blissadm/conda/miniconda/envs/bliss_dev/lib/python3.7/site-packages/tango/device_proxy.py", line 125, in __check_read_attribute
    raise DevFailed(*dev_attr.get_err_stack())
PyTango.DevFailed: DevFailed[
DevError[
    desc = IndexError: index 2800 is out of bounds for axis 1 with size 1296
           
  origin =   File "/users/blissadm/conda/miniconda/envs/basler/lib/python3.7/site-packages/Lima/Server/plugins/Bpm.py", line 432, in read_bvdata
    self.bvdata, self.bvdata_format = construct_bvdata(self)
  File "/users/blissadm/conda/miniconda/envs/basler/lib/python3.7/site-packages/Lima/Server/plugins/Bpm.py", line 705, in construct_bvdata
    profile_y = image.buffer[:,bpm.beammark[0]].astype(numpy.uint64)

  reason = PyDs_PythonError
severity = ERR]

beammark was:

>>> d.beammark
array([2800, 2000], dtype=int32)