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Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"

License: MIT License

Python 99.88% Shell 0.12%

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differentiable-particle-filters's Issues

Consultation question

Dear Professor
Hello, I'm reproducing your experiment, but I have a question for you. Is the file under the log folder generated by training? If not, do I have to create those files myself?

                                                                                                                                      Yours
                                                                                                                                    Sincerely

Import error: No module found

I have followed all the steps and installed all the dependencies as mentioned here. When I run the command "python3 simple.py" this shows up

Traceback (most recent call last):
  File "simple.py", line 3, in <module>
    from methods.dpf import DPF
ImportError: No module named 'method'

I'm facing this same issue when I try to run every other .py file. Is it some dependency that I'm missing?
Before this I faced the error "illegal instruction (core dumped)" however that was resolved by downgrading Tensorflow to v1.5.

Memory Error

I ran the command "python3 simple.py" but got this error

Traceback (most recent call last):
  File "simple.py", line 50, in <module>
    train_dpf(plot=True)
  File "simple.py", line 11, in train_dpf
    train_data = load_data(data_path=data_path, filename=task + '_train')
  File "/home/anshqureshi/differentiable-particle-filters/utils/data_utils.py", line 47, in load_data
    data[key] = np.reshape(data[key], [-1, steps_per_episode] + list(data[key].shape[1:])).astype('float32')
MemoryError

Plots not generating

Hi,
I ran "simple.py" but the training doesn't end even when the best validation loss had not decreased for a while (screen-shot attached) and only the motion model shows up, the measurement model output and particle proposer don't show.
validation loss error

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