fw-classification


Namefw-classification JSON
Version 0.4.5 PyPI version JSON
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home_pagehttps://gitlab.com/flywheel-io/public/classification-toolkit
SummaryFlywheel classification toolkit.
upload_time2024-09-04 22:05:33
maintainerNone
docs_urlNone
authorFlywheel
requires_python<4.0,>=3.10
licenseMIT
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
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            # Classification Toolkit

The main documentation for the classification-toolkit can be found at the
[fw-classification
Documentation](https://flywheel-io.gitlab.io/scientific-solutions/lib/fw-classification/)

Classification toolkit is a library that can act on arbitrary metadata in the
form of JSON, with a declarative set of rules.  The main use case for this
library is for classification of medical imaging files based on their
metadata, for example, the `SeriesDescription` tag in a DICOM file.

## Install

`poetry add fw-classification`, or with optional dependencies
`poetry add fw-classification -E all`.

## Run classification via cli

<!-- markdownlint-disable line-length -->
```bash
~/ ➜  classify run ./fw_classification/profiles/main.yml ~/Downloads/example.dicom.zip -a dicom
fw_classification:      Block mr_file result: True
fw_classification:      Block set_modality result: True
fw_classification:      Block set_classification_from_acquisition_label_or_series_description result: True
fw_classification:      Block set_contrast_from_acquisition_label_or_series_description result: False
fw_classification:      Block add_features_from_acquisition_label_or_series_description result: False
fw_classification:      Block add_measurement_from_acquisition_label_or_series_description result: False
fw_classification:      Block add_intent_from_acquisition_label_or_series_description result: False
{
  "file": {
    "info": {
      "header": {
        "dicom": {
          "FileMetaInformationGroupLength": 216,
          "WindowWidth": 199.0,
          ... # Many more tags
          "dBdt": 0.0
        }
      }
    },
    "type": "dicom",
    "modality": "MR",
    "classification": {
      "Intent": [
        "Structural"
      ],
      "Measurement": [
        "T1"
      ]
    }
  }
}
```
<!-- markdownlint-enable line-length -->

## Run via python

```python
from fw_classification.classify import run_classification
import json

input_data = {}
with open('/path/to/input','r') as fp:
   input_data = json.load(fp)

result, out_data = run_classification('MR_classifier', input_data)
```

Out:

```bash
~/ ➜   python test.py
{
  "file": {
    "info": {
      "header": {
        "dicom": {
          "FileMetaInformationGroupLength": 216,
          ... # Many more tags
          "WindowWidth": 199.0,
          "dBdt": 0.0
        }
      }
    },
    "type": "dicom",
    "modality": "MR",
    "classification": {
      "Intent": [
        "Structural"
      ],
      "Measurement": [
        "T1"
      ]
    }
  }
}
```

## Development

Install the project using poetry (requires poetry > 1.2.0b1), enable plugin and
pre-commit:

```bash
poetry install --extras "all"
pre-commit install
```

            

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    "description": "# Classification Toolkit\n\nThe main documentation for the classification-toolkit can be found at the\n[fw-classification\nDocumentation](https://flywheel-io.gitlab.io/scientific-solutions/lib/fw-classification/)\n\nClassification toolkit is a library that can act on arbitrary metadata in the\nform of JSON, with a declarative set of rules.  The main use case for this\nlibrary is for classification of medical imaging files based on their\nmetadata, for example, the `SeriesDescription` tag in a DICOM file.\n\n## Install\n\n`poetry add fw-classification`, or with optional dependencies\n`poetry add fw-classification -E all`.\n\n## Run classification via cli\n\n<!-- markdownlint-disable line-length -->\n```bash\n~/ \u279c  classify run ./fw_classification/profiles/main.yml ~/Downloads/example.dicom.zip -a dicom\nfw_classification:      Block mr_file result: True\nfw_classification:      Block set_modality result: True\nfw_classification:      Block set_classification_from_acquisition_label_or_series_description result: True\nfw_classification:      Block set_contrast_from_acquisition_label_or_series_description result: False\nfw_classification:      Block add_features_from_acquisition_label_or_series_description result: False\nfw_classification:      Block add_measurement_from_acquisition_label_or_series_description result: False\nfw_classification:      Block add_intent_from_acquisition_label_or_series_description result: False\n{\n  \"file\": {\n    \"info\": {\n      \"header\": {\n        \"dicom\": {\n          \"FileMetaInformationGroupLength\": 216,\n          \"WindowWidth\": 199.0,\n          ... # Many more tags\n          \"dBdt\": 0.0\n        }\n      }\n    },\n    \"type\": \"dicom\",\n    \"modality\": \"MR\",\n    \"classification\": {\n      \"Intent\": [\n        \"Structural\"\n      ],\n      \"Measurement\": [\n        \"T1\"\n      ]\n    }\n  }\n}\n```\n<!-- markdownlint-enable line-length -->\n\n## Run via python\n\n```python\nfrom fw_classification.classify import run_classification\nimport json\n\ninput_data = {}\nwith open('/path/to/input','r') as fp:\n   input_data = json.load(fp)\n\nresult, out_data = run_classification('MR_classifier', input_data)\n```\n\nOut:\n\n```bash\n~/ \u279c   python test.py\n{\n  \"file\": {\n    \"info\": {\n      \"header\": {\n        \"dicom\": {\n          \"FileMetaInformationGroupLength\": 216,\n          ... # Many more tags\n          \"WindowWidth\": 199.0,\n          \"dBdt\": 0.0\n        }\n      }\n    },\n    \"type\": \"dicom\",\n    \"modality\": \"MR\",\n    \"classification\": {\n      \"Intent\": [\n        \"Structural\"\n      ],\n      \"Measurement\": [\n        \"T1\"\n      ]\n    }\n  }\n}\n```\n\n## Development\n\nInstall the project using poetry (requires poetry > 1.2.0b1), enable plugin and\npre-commit:\n\n```bash\npoetry install --extras \"all\"\npre-commit install\n```\n",
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