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View Code? Open in Web Editor NEW[ACM e-Energy23] Appliance Detection Using Very Low Frequency Smart Meters Time Series
License: MIT License
[ACM e-Energy23] Appliance Detection Using Very Low Frequency Smart Meters Time Series
License: MIT License
Good afternoon,
First of all, I would like to extend my gratitude to you for making available your artifact available for the community. I thoroughly enjoyed reading your paper, and really appreciate the additional effort you have taken to make your codebase available.
I am currently working to replicate your experiments, and I wanted to send a quick update with some observations, and also some questions for you.
README.md
suggests Python >=3.7, and I wonder if this restriction needs to be tightened up a little bit. I primarily work with R rather than Python, so I am working with relatively little prior knowledge here.requirements.txt
to change pytorch==1.8.1
to torch==1.8.1
.I'm now currently seeing the following error when I try to run
/usr/local/bin/python3.7 /Users/myusername/ApplianceDetectionBenchmark-main/src/REFIT_Benchmark.py
Traceback (most recent call last):
File "/Users/myusername/ApplianceDetectionBenchmark-main/src/REFIT_Benchmark.py", line 20, in <module>
from Utils.Models.ConvNet import ConvNet
File "/Users/myusername/ApplianceDetectionBenchmark-main/src/Utils/Models/ConvNet.py", line 4, in <module>
from Utils.Layers.ConvLayers import Conv1dSame
ModuleNotFoundError: No module named 'Utils.Layers'
Process finished with exit code 1
Conv1dSame
which is imported from Utils.Layers.ConvLayers
in ConvNet.py:L4. Are there some files which are missing from the repository, perhaps?I'm seeing other things which have not yet become an issue at runtime, but I wanted to make you available of these too.
classif_trainer
mentioned in UKDALE_Benchmark.py
CER_Benchmark.py
, should path_data = os.getcwd()+'/Datasets/CER_Electricity/'
instead read path_data = os.getcwd()+'/data/CER/'
_utils_preprocessing_.py
appear to reference a /Datasets
location.I really appreicate your support and hope you may be able to help me overcome a couple of these hurdles to reproduce your work.
Best wishes,
Matt
Hi,
In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely. The fix for this issue is available in version 1.13.1. There is a release checker in pytorch/pytorch#89855.
The torch version in the requirement.txt is torch==1.8.1. We should ensure the benchmark works with torch==1.13.1 and update the requirement.txt.
Paul
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