Deepbinner
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What am I doing wrong?
Hello, after installing Deepbinner:
....... usr@pandora:/test/Deepbinner/models$ deepbinner classify -s SQK-RBK004_read_starts input Using TensorFlow backend. Loading SQK-RBK004_read_starts... done Error: input is neither a file nor a directory .......
Another try:
usr@pandora:/albacore/gridion/basecalled/01010102/GA10000$ deepbinner classify --rapid /albacore/gridion/basecalled/01010102/GA10000/reads/0/ > classifications
Using TensorFlow backend.
2018-11-09 15:13:00.956983: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Loading /usr/local/lib/python3.6/site-packages/deepbinner/models/SQK-RBK004_read_starts... Traceback (most recent call last):
File "/usr/local/bin/deepbinner", line 11, in
..................................
Thank's in advance ......
same error here.
it happens, if you use the --rapid or --native flags, if you specify the models -s / -e manually, it works.
I'm having the same issue, although the above workaround works for me too.
What did you specify after the -s / -e flags? I'm trying to use the --rapid read start model, but I got the same error. Thank you!
What did you specify after the -s / -e flags? I'm trying to use the --rapid read start model, but I got the same error. Thank you! To clarify I specified -s SQK-RBK004 and got that SQK-RBK004 didn't exist.
I downloaded the rapid read model from this repo and then gave the path to that. Alternatively, the pull request that's waiting to be merged fixes things so that --rapid
and --native
can be used. You'd just have to clone that and then pip install -e .
from the base of the repository.
For anyone finding this thread: You can make a small change in deepbinner.py by yourself, explained here: https://github.com/eclarke/Deepbinner/commit/00e9ff93a0ffa21f583e258cd071fec00ae4f0a8 .