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============================== Data science for hand shape and orientation
big/src/stage/*.py
in big/dvc.yaml
dvc repro
src/stage/*.py
in dvc.yaml
dvc repro big/dvc.yaml
1
сек выводить другое окно. 0
- номер камерыpython3 big/src/apps/word_image.py 0 1
grep -i 's14c' folder/*.csv
python3 big/src/features/stat_fsw_handshape.py
├── LICENSE
├── Makefile <- Makefile with commands like `make data` or `make train`
├── README.md <- The top-level README for developers using this project.
├── big <- Source code and data for runing use big data.
│ ├── data <- Big data.
│ │ ├── external <- Data from third party sources.
│ │ ├── interim <- Intermediate data that has been transformed.
│ │ ├── processed <- The final, canonical data sets for modeling.
│ │ └── raw <- The original, immutable data dump.
│ └── src <- Source code for use in this project.
│ ├── __init__.py <- Makes src a Python module
│ │
│ ├── data <- Scripts to download or generate data
│ │ └── make_dataset.py
│ │
│ ├── features <- Scripts to turn raw data into features for modeling
│ │ └── build_features.py
│ │
│ ├── models <- Scripts to train models and then use trained models to make
│ │ │ predictions
│ │ ├── predict_model.py
│ │ └── train_model.py
│ │
│ └── visualization <- Scripts to create exploratory and results oriented visualizations
│ └── visualize.py
├── data <- Small data.
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── docs <- A default Sphinx project; see sphinx-doc.org for details
│
├── models <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
│ the creator's initials, and a short `-` delimited description, e.g.
│ `1.0-jqp-initial-data-exploration`.
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures to be used in reporting
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
│
├── setup.py <- makes project pip installable (pip install -e .) so src can be imported
Project based on the cookiecutter data science project template. #cookiecutterdatascience
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