def postfetch(self, percept, percept_data):
"""
This method can be overridden to alter or use the percept's data or metadata once it has been fetched from the data store, but before the algorithm begins running. If you override this method, be sure to call it before your implementation, as this is where OpenCV parses the image.
:param dict percept: percept metadata
:param file percept_data: percept data
:return: percept data
:rtype: :py:class:`numpy.ndarray`
.. NOTE::
Be sure to return the data when you're done.
"""
return ImageOps.decode(percept_data)
def postfetch(self, percept, percept_data): """ This method can be overridden to alter or use the percept's data or metadata once it has been fetched from the data store, but before the algorithm begins running. If you override this method, be sure to call it before your implementation, as this is where OpenCV parses the image. :param dict percept: percept metadata :param file percept_data: percept data :return: percept data :rtype: :py:class:`numpy.ndarray` .. NOTE:: Be sure to return the data when you're done. """ return ImageOps.decode(percept_data)
def test_imageops_decode():
ops = ImageOps(kConfig)
result = ops.decode(constants.kExampleImageFile)
assert result.shape == constants.kExampleImageDimensions
def test_imageops_fetch():
ops = ImageOps(kConfig)
percept = Percept()
percept.locator = constants.kExampleImageFile
result = ops.fetch(percept)
assert result.shape == constants.kExampleImageDimensions
def test_imageops_decode(): ops = ImageOps(kConfig) result = ops.decode(constants.kExampleImageFile) assert result.shape == constants.kExampleImageDimensions
def test_imageops_fetch(): ops = ImageOps(kConfig) percept = Percept() percept.locator = constants.kExampleImageFile result = ops.fetch(percept) assert result.shape == constants.kExampleImageDimensions