This release is a pre-release and may not be stable for production use.
make-voc-dataset
Majority of the current Deep Learning Frameworks like MMDetection or Detectron2 support the VOC Formatted Data / COCO Formatted Data
This simple tool helps convert files stored in your local machine in the VOC Formatted Directory Structure
The data should have images and their corresponding annotation_file in xml format.
Tools like LabelIMG can be used to annotate images.
Options
-s / --source_path
Provide the full path where all the images and xmls are located. Please make sure the img_names are UNIQUE
-d / --dest_path
Provide the full to save the VOC structure
-t / --test_ratio
Provide the ratio (between 0 and 1) that will be the test division of the dataset
Metadata
Release files for make-voc-dataset 0.0.5.dev2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| make_voc_dataset-0.0.5.dev2.tar.gz | 4.2 kB | Without provenance | Details for make_voc_dataset-0.0.5.dev2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| make_voc_dataset-0.0.5.dev2-py3-none-any.whl | Python 3 | none | any | Details for make_voc_dataset-0.0.5.dev2-py3-none-any.whl |
Total release size: 9.0 kB
Release files / make_voc_dataset-0.0.5.dev2.tar.gz
| Download URL | make_voc_dataset-0.0.5.dev2.tar.gz |
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| Size | 4.2 kB |
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SHA-256 checksum How to use checksums |
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Release files / make_voc_dataset-0.0.5.dev2-py3-none-any.whl
| Download URL | make_voc_dataset-0.0.5.dev2-py3-none-any.whl |
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| Size | 4.8 kB |
| Tags | Python 3 |
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