kili


Namekili JSON
Version 2.154.0 PyPI version JSON
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SummaryPython client for Kili Technology labeling tool
upload_time2024-04-23 12:27:59
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authorNone
requires_python>=3.8
license Apache License Version 2.0, January 2004 https://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. 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If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. 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            # Kili Python SDK

[![Python 3.8](https://img.shields.io/badge/python-%203.8%20|%203.9%20|%203.10%20|%203.11%20|%203.12%20-blue.svg)](https://www.python.org/)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
![GitHub release (latest by date)](https://img.shields.io/github/v/release/kili-technology/kili-python-sdk?label=pypi%20package)

---

**SDK Reference**: <https://python-sdk-docs.kili-technology.com/>

**Kili Documentation**: <https://docs.kili-technology.com/docs>

**App**: <https://cloud.kili-technology.com/label/>

**Website**: <https://kili-technology.com/>

---

## What is Kili?

Kili is a platform that empowers a data-centric approach to Machine Learning through quality training data creation. It provides collaborative data **annotation tools** and APIs that enable quick iterations between reliable dataset building and model training. More info [here](https://kili-technology.com/platform/label-annotate).

### Annotation tools examples

|                                      Named Entities Extraction and Relation                                      |                                   PDF classification and bounding-box                                   |                                     Object detection (bounding-box)                                      |
| :--------------------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------: |
| ![](https://raw.githubusercontent.com/kili-technology/kili-python-sdk/main/recipes/img/relations-extraction.png) | ![](https://raw.githubusercontent.com/kili-technology/kili-python-sdk/main/recipes/img/pdf_classif.png) | ![](https://raw.githubusercontent.com/kili-technology/kili-python-sdk/main/recipes/img/bounding-box.jpg) |

and [many more](https://docs.kili-technology.com/docs/labeling-overview).

## What is Kili Python SDK?

**Kili Python SDK** is the Python client for the Kili platform. It allows to query and manipulate the main entities available in Kili, like projects, assets, labels, api keys...

It comes with several [tutorials](https://python-sdk-docs.kili-technology.com/latest/sdk/tutorials/basic_project_setup/) that demonstrate how to use it in the most frequent use cases.

## Requirements

- Python >= 3.8
- Create and copy a [Kili API key](https://docs.kili-technology.com/docs/creating-an-api-key)
- Add the `KILI_API_KEY` variable in your bash environment (or in the settings of your favorite IDE) by pasting the API key value you copied above:

```bash
export KILI_API_KEY='<your api key value here>'
```

## Installation

Install the Kili client with pip:

```bash
pip install kili
```

If you want to contribute, here are the [installation steps](CONTRIBUTING.md).

## Usage

Instantiate the Kili client:

```python
from kili.client import Kili
kili = Kili()
# You can now use the Kili client!
```

Note that you can also pass the API key as an argument of the `Kili` initialization:

```python
kili = Kili(api_key='<your api key value here>')
```

For more details, read the [SDK reference](https://python-sdk-docs.kili-technology.com) or the [Kili documentation](https://docs.kili-technology.com/docs).

## Tutorials

Check out our [tutorials](https://python-sdk-docs.kili-technology.com/latest/tutorials)! They will guide you through the main features of the Kili client.

You can find several other recipes in this [folder](https://github.com/kili-technology/kili-python-sdk/tree/main/recipes).

## Examples

Here is a sample of the operations you can do with the Kili client:

### Creating an annotation project

```python
json_interface = {
    "jobs": {
        "CLASSIFICATION_JOB": {
            "mlTask": "CLASSIFICATION",
            "content": {
                "categories": {
                    "RED": {"name": "Red"},
                    "BLACK": {"name": "Black"},
                    "WHITE": {"name": "White"},
                    "GREY": {"name": "Grey"}},
                "input": "radio"
            },
            "instruction": "Color"
        }
    }
}
project_id = kili.create_project(
    title="Color classification",
    description="Project ",
    input_type="IMAGE",
    json_interface=json_interface
)["id"]
```

### Importing data to annotate

```python
assets = [
    {
        "externalId": "example 1",
        "content": "https://images.caradisiac.com/logos/3/8/6/7/253867/S0-tesla-enregistre-d-importantes-pertes-au-premier-trimestre-175948.jpg",
    },
    {
        "externalId": "example 2",
        "content": "https://img.sportauto.fr/news/2018/11/28/1533574/1920%7C1280%7Cc096243e5460db3e5e70c773.jpg",
    },
    {
        "externalId": "example 3",
        "content": "./recipes/img/man_on_a_bike.jpeg",
    },
]

external_id_array = [a.get("externalId") for a in assets]
content_array = [a.get("content") for a in assets]

kili.append_many_to_dataset(
    project_id=project_id,
    content_array=content_array,
    external_id_array=external_id_array,
)
```

See the detailed example in this [tutorial](https://python-sdk-docs.kili-technology.com/latest/sdk/tutorials/importing_assets_and_metadata/).

### Importing predictions

```python
prediction_examples = [
    {
        "external_id": "example 1",
        "json_response": {
            "CLASSIFICATION_JOB": {
                "categories": [{"name": "GREY", "confidence": 46}]
            }
        },
    },
    {
        "external_id": "example 2",
        "json_response": {
            "CLASSIFICATION_JOB": {
                "categories": [{"name": "WHITE", "confidence": 89}]
            }
        },
    }
]

kili.create_predictions(
    project_id=project_id,
    external_id_array=[p["external_id"] for p in prediction_examples],
    json_response_array=[p["json_response"] for p in prediction_examples],
    model_name="My SOTA model"
)
```

See detailed examples in this [recipe](https://docs.kili-technology.com/recipes/importing-labels-and-predictions).

### Exporting labels

```python
kili.export_labels("your_project_id", "export.zip", "yolo_v4")
```

See a detailed example in this [tutorial](https://python-sdk-docs.kili-technology.com/latest/sdk/tutorials/export_a_kili_project/).

            

Raw data

            {
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    "home_page": null,
    "name": "kili",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": null,
    "keywords": null,
    "author": null,
    "author_email": "Kili Technology <contact@kili-technology.com>",
    "download_url": "https://files.pythonhosted.org/packages/e3/b9/1af10923c214293b68876d9297a4720b1ee91fd4e028e1136549a049eb31/kili-2.154.0.tar.gz",
    "platform": null,
    "description": "# Kili Python SDK\n\n[![Python 3.8](https://img.shields.io/badge/python-%203.8%20|%203.9%20|%203.10%20|%203.11%20|%203.12%20-blue.svg)](https://www.python.org/)\n[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)\n![GitHub release (latest by date)](https://img.shields.io/github/v/release/kili-technology/kili-python-sdk?label=pypi%20package)\n\n---\n\n**SDK Reference**: <https://python-sdk-docs.kili-technology.com/>\n\n**Kili Documentation**: <https://docs.kili-technology.com/docs>\n\n**App**: <https://cloud.kili-technology.com/label/>\n\n**Website**: <https://kili-technology.com/>\n\n---\n\n## What is Kili?\n\nKili is a platform that empowers a data-centric approach to Machine Learning through quality training data creation. It provides collaborative data **annotation tools** and APIs that enable quick iterations between reliable dataset building and model training. More info [here](https://kili-technology.com/platform/label-annotate).\n\n### Annotation tools examples\n\n|                                      Named Entities Extraction and Relation                                      |                                   PDF classification and bounding-box                                   |                                     Object detection (bounding-box)                                      |\n| :--------------------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------: |\n| ![](https://raw.githubusercontent.com/kili-technology/kili-python-sdk/main/recipes/img/relations-extraction.png) | ![](https://raw.githubusercontent.com/kili-technology/kili-python-sdk/main/recipes/img/pdf_classif.png) | ![](https://raw.githubusercontent.com/kili-technology/kili-python-sdk/main/recipes/img/bounding-box.jpg) |\n\nand [many more](https://docs.kili-technology.com/docs/labeling-overview).\n\n## What is Kili Python SDK?\n\n**Kili Python SDK** is the Python client for the Kili platform. It allows to query and manipulate the main entities available in Kili, like projects, assets, labels, api keys...\n\nIt comes with several [tutorials](https://python-sdk-docs.kili-technology.com/latest/sdk/tutorials/basic_project_setup/) that demonstrate how to use it in the most frequent use cases.\n\n## Requirements\n\n- Python >= 3.8\n- Create and copy a [Kili API key](https://docs.kili-technology.com/docs/creating-an-api-key)\n- Add the `KILI_API_KEY` variable in your bash environment (or in the settings of your favorite IDE) by pasting the API key value you copied above:\n\n```bash\nexport KILI_API_KEY='<your api key value here>'\n```\n\n## Installation\n\nInstall the Kili client with pip:\n\n```bash\npip install kili\n```\n\nIf you want to contribute, here are the [installation steps](CONTRIBUTING.md).\n\n## Usage\n\nInstantiate the Kili client:\n\n```python\nfrom kili.client import Kili\nkili = Kili()\n# You can now use the Kili client!\n```\n\nNote that you can also pass the API key as an argument of the `Kili` initialization:\n\n```python\nkili = Kili(api_key='<your api key value here>')\n```\n\nFor more details, read the [SDK reference](https://python-sdk-docs.kili-technology.com) or the [Kili documentation](https://docs.kili-technology.com/docs).\n\n## Tutorials\n\nCheck out our [tutorials](https://python-sdk-docs.kili-technology.com/latest/tutorials)! They will guide you through the main features of the Kili client.\n\nYou can find several other recipes in this [folder](https://github.com/kili-technology/kili-python-sdk/tree/main/recipes).\n\n## Examples\n\nHere is a sample of the operations you can do with the Kili client:\n\n### Creating an annotation project\n\n```python\njson_interface = {\n    \"jobs\": {\n        \"CLASSIFICATION_JOB\": {\n            \"mlTask\": \"CLASSIFICATION\",\n            \"content\": {\n                \"categories\": {\n                    \"RED\": {\"name\": \"Red\"},\n                    \"BLACK\": {\"name\": \"Black\"},\n                    \"WHITE\": {\"name\": \"White\"},\n                    \"GREY\": {\"name\": \"Grey\"}},\n                \"input\": \"radio\"\n            },\n            \"instruction\": \"Color\"\n        }\n    }\n}\nproject_id = kili.create_project(\n    title=\"Color classification\",\n    description=\"Project \",\n    input_type=\"IMAGE\",\n    json_interface=json_interface\n)[\"id\"]\n```\n\n### Importing data to annotate\n\n```python\nassets = [\n    {\n        \"externalId\": \"example 1\",\n        \"content\": \"https://images.caradisiac.com/logos/3/8/6/7/253867/S0-tesla-enregistre-d-importantes-pertes-au-premier-trimestre-175948.jpg\",\n    },\n    {\n        \"externalId\": \"example 2\",\n        \"content\": \"https://img.sportauto.fr/news/2018/11/28/1533574/1920%7C1280%7Cc096243e5460db3e5e70c773.jpg\",\n    },\n    {\n        \"externalId\": \"example 3\",\n        \"content\": \"./recipes/img/man_on_a_bike.jpeg\",\n    },\n]\n\nexternal_id_array = [a.get(\"externalId\") for a in assets]\ncontent_array = [a.get(\"content\") for a in assets]\n\nkili.append_many_to_dataset(\n    project_id=project_id,\n    content_array=content_array,\n    external_id_array=external_id_array,\n)\n```\n\nSee the detailed example in this [tutorial](https://python-sdk-docs.kili-technology.com/latest/sdk/tutorials/importing_assets_and_metadata/).\n\n### Importing predictions\n\n```python\nprediction_examples = [\n    {\n        \"external_id\": \"example 1\",\n        \"json_response\": {\n            \"CLASSIFICATION_JOB\": {\n                \"categories\": [{\"name\": \"GREY\", \"confidence\": 46}]\n            }\n        },\n    },\n    {\n        \"external_id\": \"example 2\",\n        \"json_response\": {\n            \"CLASSIFICATION_JOB\": {\n                \"categories\": [{\"name\": \"WHITE\", \"confidence\": 89}]\n            }\n        },\n    }\n]\n\nkili.create_predictions(\n    project_id=project_id,\n    external_id_array=[p[\"external_id\"] for p in prediction_examples],\n    json_response_array=[p[\"json_response\"] for p in prediction_examples],\n    model_name=\"My SOTA model\"\n)\n```\n\nSee detailed examples in this [recipe](https://docs.kili-technology.com/recipes/importing-labels-and-predictions).\n\n### Exporting labels\n\n```python\nkili.export_labels(\"your_project_id\", \"export.zip\", \"yolo_v4\")\n```\n\nSee a detailed example in this [tutorial](https://python-sdk-docs.kili-technology.com/latest/sdk/tutorials/export_a_kili_project/).\n",
    "bugtrack_url": null,
    "license": " Apache License Version 2.0, January 2004 https://www.apache.org/licenses/  TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION  1. Definitions.  \"License\" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document.  \"Licensor\" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License.  \"Legal Entity\" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, \"control\" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity.  \"You\" (or \"Your\") shall mean an individual or Legal Entity exercising permissions granted by this License.  \"Source\" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files.  \"Object\" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types.  \"Work\" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below).  \"Derivative Works\" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof.  \"Contribution\" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, \"submitted\" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as \"Not a Contribution.\"  \"Contributor\" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work.  2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form.  3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed.  4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions:  (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and  (b) You must cause any modified files to carry prominent notices stating that You changed the files; and  (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and  (d) If the Work includes a \"NOTICE\" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License.  You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License.  5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. 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