https://github.com/deepcharles/hack-and-collab-fgss-2021
https://github.com/deepcharles/hack-and-collab-fgss-2021
Last synced: over 1 year ago
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- Host: GitHub
- URL: https://github.com/deepcharles/hack-and-collab-fgss-2021
- Owner: deepcharles
- License: bsd-2-clause
- Created: 2021-03-16T11:18:54.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-06-22T13:35:29.000Z (about 5 years ago)
- Last Synced: 2025-01-30T08:31:02.998Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 2.53 MB
- Stars: 1
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Step detection workshop
A tutorial on the step detection task, using convolutional sparse coding.
The tutorial is in the notebook `step-detection-workshop.ipynb`.
To run the notebook, you will need to install the following packages:
- pandas
- scikit-learn
- matplotlib
- loadmydata
- seaborn
They are available through `pip` or `conda`.
Downloading the data can take a few minutes.
In order to download them beforehand, please run the following commands in a Python terminal:
```python
from loadmydata.load_human_locomotion import load_human_locomotion_dataset
_ = load_human_locomotion_dataset("1-1")
```