Comments (9)
I realized the home path doesn't work in this context, I have fixed it by changing:
--partition_volumes ~/third_party/neuroproof_examples/validation_sample/af.h5:af
to
--partition_volumes validation1:/home/user/third_party/neuroproof_examples/validation_sample/af.h5:af
from ffn.
I realized the home path doesn't work in this context, I have fixed it by changing:
--partition_volumes ~/third_party/neuroproof_examples/validation_sample/af.h5:af
to
--partition_volumes validation1:/home/user/third_party/neuroproof_examples/validation_sample/af.h5:af
Can you get the results in the paper?
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I didn't reproduce the exact demo data in the paper because it's a different species than what I'm interested in but it performs great on my data.
from ffn.
I didn't reproduce the exact demo data in the paper because it's a different species than what I'm interested in but it performs great on my data.
Run_inference.py can get the result of each 2D segmentation ,but how to reconstruct the result of 3D segmentation?
from ffn.
I'm not sure what you're asking. FFN is a 3D solver, the output is 3D.
from ffn.
I'm not sure what you're asking. FFN is a 3D solver, the output is 3D.
Output shape is (250, 250, 250),it shows that 250(numbers) x 2D segmentation(w:250,h:250).
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I didn't reproduce the exact demo data in the paper because it's a different species than what I'm interested in but it performs great on my data.
HELLO,
There is no validation set in the code. How do you determine if your training results are great?
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Hi @MatthewBM , @mk123qwe do you know how to run ffn on a dataset of about 5TB?
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Hi @FrayaMiner,
Why don't you send me an email [email protected] with a little more detail about what you're trying to do.
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Related Issues (19)
- Undefined names: 'sampling' and '_required' HOT 3
- Training model does not use GPU
- Distinct samples of training data HOT 5
- syntax error in _required definition
- What about consensus and agglomeration steps? HOT 1
- Train error,maybe something wrong in bounding_box.py HOT 1
- AxisError with numpy 1.18
- TensorFlow record files are corrupted
- Parameter Optimisation Recommendations
- Combine multiple sess.run into one ?
- Multi-GPU utilization HOT 4
- Share trained weights of SNEMI3D dataset?
- Qustion about blank areas in inference labels HOT 1
- Realignment and Irregular section substitution HOT 4
- TypeError: string indices must be integers HOT 1
- Evaluation the segmentation HOT 1
- build_coordinates generating TFRecords so slowly
- ffn_inference_colab_demo issue HOT 1
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