Comments (1)
gvanhoy
commented on August 27, 2024
In local tests for Sig53, these classes decreased generation time from 4 minutes to less than one. YMMV.
There are a few other issues that came up here though.
- What's the best way to provide dataset meta-data for inspecting datasets during training? I'm not talking about storage format like hdf5 or sigMF. The question is what fields do we keep in the database.
- Do we need or want an abstracted way of interfacing with our data so that we can leverage various trade-offs in database/storage technologies? I feel like this is out of scope, so I just chose a faster storage for writing during generation and a faster storage for reading during training :/.
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Related Issues (20)
- Documentation Generation Fails "NameError: name '_C' is not defined"
- No Documentation for Creation of All Pretrained Models Found at https://torchsig.com/dist/downloads.html
- Quantize() to have broader range of levels HOT 1
- MDB_MAP_FULL trying to generate_sig53 HOT 3
- XCiT not working with different num_classes HOT 1
- Documentation on signal parameters for signal generation and create user friendly section to change parameters.
- Add np.kaiser window to spectrogram function
- Question about cupy and torch
- "pip install ." does not work with Python 3.10.12
- DescToBBoxSignalDict creates incorrect box. HOT 2
- iq_imbalance: dc offset is not calculated properly
- The problem of correspondence between the label of the spectrum chart and the mask coordinates
- Pretrianed models perform poorly
- Some signals seem to be divided into two parts HOT 1
- No documentation of creation for pre-trained models
- Invalid argument for DatasetCreator().__init__()
- NumPy 1.x cannot be run in NumPy 2.0.0 as it may crash; .../examples/00_example_sig53_dataset.ipynb HOT 2
- Can't load pretrained models anymore HOT 10
- len(sig53) | .../example/01_example_modulations_dataset.ipynb creates data.mdb file , but with zero items (len=0)
- pytest > collected 125 items / 1 error ; ImportError: cannot import name 'SignalDescription'
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