def build(self):
"""Build the pipeline using raliVerify call
"""
outputs,labels = self.define_graph()
self.process_calls(outputs)
status = b.raliVerify(self._handle)
if(status != types.OK):
print("Verify graph failed")
return outputs
def build(self):
"""Build the pipeline using raliVerify call
"""
outputs = self.define_graph()
self.process_calls(outputs[0])
#Checks for Casting "Labels" as last node & Box Encoder as last Prev node
if (len(outputs) == 3):
if ((isinstance(outputs[1], list) == False) &
(isinstance(outputs[2], list) == False)):
if ((outputs[2].prev is not None) |
(outputs[1].prev is not None)):
if (outputs[2].prev.data == "Cast"):
self._castLabels = True
if (outputs[2].prev.prev.prev.data is not None):
if (outputs[2].prev.prev.prev.data == "BoxEncoder"
):
self._BoxEncoder = True
self._anchors = outputs[2].prev.prev.data
self._encode_tensor = outputs[2].prev.prev
self._encode_tensor.prev.rali_c_func_call(
self._handle)
#Checks for Box Encoding as the Last Node
if (len(outputs) == 3):
if (isinstance(outputs[1], list) == False):
if (outputs[1].prev is not None):
if (outputs[2].prev is not None):
if (outputs[2].prev.data == "BoxEncoder"):
self._BoxEncoder = True
self._anchors = outputs[2].data
self._encode_tensor = outputs[2]
self._encode_tensor.prev.rali_c_func_call(
self._handle)
#Checks for One Hot Encoding as the last Node
if (isinstance(outputs[1], list) == False):
if (len(outputs) == 2):
if (outputs[1].prev is not None):
print(type(outputs[1]))
if (outputs[1].prev.data == "OneHotLabel"):
self._numOfClasses = outputs[1].prev.rali_c_func_call(
self._handle)
self._oneHotEncoding = True
status = b.raliVerify(self._handle)
if (status != types.OK):
print("Verify graph failed")
exit(0)
return outputs