Open adarshksudarsan opened 4 years ago
+1
20180402-114759
This may help you to print inputs and outputs of the model.
def load_model(path):
print('Model filename: %s' % path)
with gfile.FastGFile(path, 'rb') as f:
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
with tf.Graph().as_default() as graph:
tf.import_graph_def(graph_def)
ops = graph.get_operations()
outputs_set = set(ops)
inputs = []
for op in ops:
if len(op.inputs) == 0 and op.type != 'Const':
inputs.append(op)
else:
for input_tensor in op.inputs:
if input_tensor.op in outputs_set:
outputs_set.remove(input_tensor.op)
outputs = list(outputs_set)
print(outputs)
print(inputs)
Can you provide the name of INPUT and OUTPUT nodes for the model 20170512-110547 and also the dimensions of input image used for training.