This package runs different image format benchmarks for dataset ML tasks
Installation
Make sure you have some system deps installed:
sudo apt install pkg-config libhdf5-dev
python3.11 -m venv venv --upgrade-deps
source venv/bin/activate
python -m pip install -U -r requirements_dev.txt
# For running on Nvidia GPU:
python -m pip install -U torch torchvision
# For running on CPU:
python -m pip install -U torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cpu
# For some reason h5py fails to install Cython while it needs it
python -m pip install -U Cython
python setup.py develop
Running dataset format benchmark
python -m dataset_image_converter --data-root /path/to/datasets/
Metadata
Release files for dataset-image-converter 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| dataset_image_converter-0.2.0.tar.gz | 823.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dataset_image_converter-0.2.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 1.6 MB
Release files / dataset_image_converter-0.2.0.tar.gz
| Download URL | dataset_image_converter-0.2.0.tar.gz |
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| Size | 823.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.12.8
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Release files / dataset_image_converter-0.2.0-py2.py3-none-any.whl
| Download URL | dataset_image_converter-0.2.0-py2.py3-none-any.whl |
|---|---|
| Size | 814.7 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
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Security for dataset-image-converter 0.2.0
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