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tf codes #76
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Maybe because of the structure of octree, the shape of the feature is "?" ,is that right? |
May I ask if Tensoflow can be used in the training process? |
I can't run the code. Did you use it ? |
Sorry for the inconvenience. I am currently busy doing a research project, and I will release step-by-step details on how to use the tensorflow code in the several weeks. The code is ok, and I am using them in my own projects. Please be patient. |
thanks |
The issue should have been fixed with the latest code. |
When I run the dataset.py to get the tensor of tfrecords,the results of the tensor's shape is ?,and i do not konw how to solve it. like this:
Use
for ... in dataset:
to iterate over a dataset. If usingtf.estimator
, return theDataset
object directly from your input function. As a last resort, you can usetf.compat.v1.data.make_one_shot_iterator(dataset)
.Tensor("octree_dataset/IteratorGetNext:0", shape=(?,), dtype=int8)
Tensor("octree_dataset/IteratorGetNext:1", shape=(?,), dtype=int64)
Tensor("octree_encoder/depth_2/octree_max_pool/OctreePad:0", shape=(1, 128, ?, 1), dtype=float32)
is that right?
when I reomove batch(batch_size) , I meet this problem:
tensorflow.python.framework.errors_impl.InvalidArgumentError: Shape must be rank 1 but is rank 0 for 'ParseExample/ParseExample' (op: 'ParseExample') with input shapes: [], [0], [], [], [0], [0].
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