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+/label-studio-converter-0.0.53.tar.gz
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+%global _empty_manifest_terminate_build 0
+Name:		python-label-studio-converter
+Version:	0.0.53
+Release:	1
+Summary:	Format converter add-on for Label Studio
+License:	Apache Software License
+URL:		https://github.com/heartexlabs/label-studio-converter
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/05/44/851422ec51fa1fef07b455d53aa5d0ec43a622d35655af282e520b8125da/label-studio-converter-0.0.53.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pandas
+Requires:	python3-requests
+Requires:	python3-Pillow
+Requires:	python3-nltk
+Requires:	python3-label-studio-tools
+Requires:	python3-ujson
+Requires:	python3-ijson
+
+%description
+# Label Studio Converter
+
+[Website](https://labelstud.io/) • [Docs](https://labelstud.io/guide) • [Twitter](https://twitter.com/heartexlabs) • [Join Slack Community <img src="https://app.heartex.ai/docs/images/slack-mini.png" width="18px"/>](https://slack.labelstudio.heartex.com)
+
+## Table of Contents
+
+- [Introduction](#introduction)
+- [Examples](#examples)
+    - [JSON](#json)
+    - [CSV](#csv)
+    - [CoNLL 2003](#conll-2003)
+    - [COCO](#coco)
+    - [Pascal VOC XML](#pascal-voc-xml)
+- [Contributing](#contributing)
+- [License](#license)
+
+## Introduction
+
+Label Studio Format Converter helps you to encode labels into the format of your favorite machine learning library.
+
+## Examples
+
+#### JSON
+**Running from the command line:**
+
+```bash
+pip install -U label-studio-converter
+python label-studio-converter export -i exported_tasks.json -c examples/sentiment_analysis/config.xml -o output_dir -f CSV
+```
+
+**Running from python:**
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/sentiment_analysis/config.xml')
+c.convert_to_json('examples/sentiment_analysis/completions/', 'tmp/output.json')
+```
+
+Getting output file: `tmp/output.json`
+```json
+[
+  {
+    "reviewText": "Good case, Excellent value.",
+    "sentiment": "Positive"
+  },
+  {
+    "reviewText": "What a waste of money and time!",
+    "sentiment": "Negative"
+  },
+  {
+    "reviewText": "The goose neck needs a little coaxing",
+    "sentiment": "Neutral"
+  }
+]
+```
+
+Use cases: any tasks
+
+
+#### CSV
+Running from the command line:
+```bash
+python label_studio_converter/cli.py --input examples/sentiment_analysis/completions/ --config examples/sentiment_analysis/config.xml --output output_dir --format CSV --csv-separator $'\t'
+```
+
+Running from python:
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/sentiment_analysis/config.xml')
+c.convert_to_csv('examples/sentiment_analysis/completions/', 'output_dir', sep='\t', header=True)
+```
+
+Getting output file `tmp/output.tsv`:
+```tsv
+reviewText	sentiment
+Good case, Excellent value.	Positive
+What a waste of money and time!	Negative
+The goose neck needs a little coaxing	Neutral
+```
+
+Use cases: any tasks
+
+#### CoNLL 2003
+
+Running from the command line:
+```bash
+python label_studio_converter/cli.py --input examples/named_entity/completions/ --config examples/named_entity/config.xml --output tmp/output.conll --format CONLL2003
+```
+
+Running from python:
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/named_entity/config.xml')
+c.convert_to_conll2003('examples/named_entity/completions/', 'tmp/output.conll')
+```
+
+Getting output file `tmp/output.conll`
+```text
+-DOCSTART- -X- O
+Showers -X- _ O
+continued -X- _ O
+throughout -X- _ O
+the -X- _ O
+week -X- _ O
+in -X- _ O
+the -X- _ O
+Bahia -X- _ B-Location
+cocoa -X- _ O
+zone, -X- _ O
+...
+```
+
+Use cases: text tagging
+
+
+#### COCO
+Running from the command line:
+```bash
+python label_studio_converter/cli.py --input examples/image_bbox/completions/ --config examples/image_bbox/config.xml --output tmp/output.json --format COCO --image-dir tmp/images
+```
+
+Running from python:
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/image_bbox/config.xml')
+c.convert_to_coco('examples/image_bbox/completions/', 'tmp/output.conll', output_image_dir='tmp/images')
+```
+
+Output images could be found in `tmp/images`
+
+Getting output file `tmp/output.json`
+```json
+{
+  "images": [
+    {
+      "width": 800,
+      "height": 501,
+      "id": 0,
+      "file_name": "tmp/images/62a623a0d3cef27a51d3689865e7b08a"
+    }
+  ],
+  "categories": [
+    {
+      "id": 0,
+      "name": "Planet"
+    },
+    {
+      "id": 1,
+      "name": "Moonwalker"
+    }
+  ],
+  "annotations": [
+    {
+      "id": 0,
+      "image_id": 0,
+      "category_id": 0,
+      "segmentation": [],
+      "bbox": [
+        299,
+        6,
+        377,
+        260
+      ],
+      "ignore": 0,
+      "iscrowd": 0,
+      "area": 98020
+    },
+    {
+      "id": 1,
+      "image_id": 0,
+      "category_id": 1,
+      "segmentation": [],
+      "bbox": [
+        288,
+        300,
+        132,
+        90
+      ],
+      "ignore": 0,
+      "iscrowd": 0,
+      "area": 11880
+    }
+  ],
+  "info": {
+    "year": 2019,
+    "version": "1.0",
+    "contributor": "Label Studio"
+  }
+}
+```
+
+Use cases: image object detection
+
+#### Pascal VOC XML
+Running from the command line:
+```bash
+python label_studio_converter/cli.py --input examples/image_bbox/completions/ --config examples/image_bbox/config.xml --output tmp/voc-annotations --format VOC --image-dir tmp/images
+```
+
+Running from python:
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/image_bbox/config.xml')
+c.convert_to_voc('examples/image_bbox/completions/', 'tmp/output.conll', output_image_dir='tmp/images')
+```
+
+Output images can be found in `tmp/images`
+
+Corresponding annotations could be found in `tmp/voc-annotations/*.xml`:
+```xml
+<?xml version="1.0" encoding="utf-8"?>
+<annotation>
+<folder>tmp/images</folder>
+<filename>62a623a0d3cef27a51d3689865e7b08a</filename>
+<source>
+<database>MyDatabase</database>
+<annotation>COCO2017</annotation>
+<image>flickr</image>
+<flickrid>NULL</flickrid>
+</source>
+<owner>
+<flickrid>NULL</flickrid>
+<name>Label Studio</name>
+</owner>
+<size>
+<width>800</width>
+<height>501</height>
+<depth>3</depth>
+</size>
+<segmented>0</segmented>
+<object>
+<name>Planet</name>
+<pose>Unspecified</pose>
+<truncated>0</truncated>
+<difficult>0</difficult>
+<bndbox>
+<xmin>299</xmin>
+<ymin>6</ymin>
+<xmax>676</xmax>
+<ymax>266</ymax>
+</bndbox>
+</object>
+<object>
+<name>Moonwalker</name>
+<pose>Unspecified</pose>
+<truncated>0</truncated>
+<difficult>0</difficult>
+<bndbox>
+<xmin>288</xmin>
+<ymin>300</ymin>
+<xmax>420</xmax>
+<ymax>390</ymax>
+</bndbox>
+</object>
+</annotation>
+```
+
+Use cases: image object detection
+
+### YOLO to Label Studio converter 
+
+Usage:
+
+```
+label-studio-converter import yolo -i /yolo/root/directory -o ls-tasks.json
+```
+
+Help:
+
+```
+label-studio-converter import yolo -h
+
+usage: label-studio-converter import yolo [-h] -i INPUT [-o OUTPUT]
+                                          [--to-name TO_NAME]
+                                          [--from-name FROM_NAME]
+                                          [--out-type OUT_TYPE]
+                                          [--image-root-url IMAGE_ROOT_URL]
+                                          [--image-ext IMAGE_EXT]
+
+optional arguments:
+  -h, --help            show this help message and exit
+  -i INPUT, --input INPUT
+                        directory with YOLO where images, labels, notes.json
+                        are located
+  -o OUTPUT, --output OUTPUT
+                        output file with Label Studio JSON tasks
+  --to-name TO_NAME     object name from Label Studio labeling config
+  --from-name FROM_NAME
+                        control tag name from Label Studio labeling config
+  --out-type OUT_TYPE   annotation type - "annotations" or "predictions"
+  --image-root-url IMAGE_ROOT_URL
+                        root URL path where images will be hosted, e.g.:
+                        http://example.com/images or s3://my-bucket
+  --image-ext IMAGE_EXT
+                        image extension to search: .jpg, .png
+```
+
+YOLO export folder example:
+
+```
+yolo-folder
+  images
+   - 1.jpg
+   - 2.jpg
+   - ...
+  labels
+   - 1.txt
+   - 2.txt
+
+  classes.txt
+```
+
+classes.txt example
+
+```
+Airplane
+Car
+```
+
+## Contributing
+
+We would love to get your help for creating converters to other models. Please feel free to create pull requests.
+
+- [Contributing Guideline](https://github.com/heartexlabs/label-studio/blob/develop/CONTRIBUTING.md)
+- [Code Of Conduct](https://github.com/heartexlabs/label-studio/blob/develop/CODE_OF_CONDUCT.md)
+
+## License
+
+This software is licensed under the [Apache 2.0 LICENSE](/LICENSE) © [Heartex](https://www.heartex.com/). 2020
+
+<img src="https://github.com/heartexlabs/label-studio/blob/master/images/opossum_looking.png?raw=true" title="Hey everyone!" height="140" width="140" />
+
+
+%package -n python3-label-studio-converter
+Summary:	Format converter add-on for Label Studio
+Provides:	python-label-studio-converter
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-label-studio-converter
+# Label Studio Converter
+
+[Website](https://labelstud.io/) • [Docs](https://labelstud.io/guide) • [Twitter](https://twitter.com/heartexlabs) • [Join Slack Community <img src="https://app.heartex.ai/docs/images/slack-mini.png" width="18px"/>](https://slack.labelstudio.heartex.com)
+
+## Table of Contents
+
+- [Introduction](#introduction)
+- [Examples](#examples)
+    - [JSON](#json)
+    - [CSV](#csv)
+    - [CoNLL 2003](#conll-2003)
+    - [COCO](#coco)
+    - [Pascal VOC XML](#pascal-voc-xml)
+- [Contributing](#contributing)
+- [License](#license)
+
+## Introduction
+
+Label Studio Format Converter helps you to encode labels into the format of your favorite machine learning library.
+
+## Examples
+
+#### JSON
+**Running from the command line:**
+
+```bash
+pip install -U label-studio-converter
+python label-studio-converter export -i exported_tasks.json -c examples/sentiment_analysis/config.xml -o output_dir -f CSV
+```
+
+**Running from python:**
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/sentiment_analysis/config.xml')
+c.convert_to_json('examples/sentiment_analysis/completions/', 'tmp/output.json')
+```
+
+Getting output file: `tmp/output.json`
+```json
+[
+  {
+    "reviewText": "Good case, Excellent value.",
+    "sentiment": "Positive"
+  },
+  {
+    "reviewText": "What a waste of money and time!",
+    "sentiment": "Negative"
+  },
+  {
+    "reviewText": "The goose neck needs a little coaxing",
+    "sentiment": "Neutral"
+  }
+]
+```
+
+Use cases: any tasks
+
+
+#### CSV
+Running from the command line:
+```bash
+python label_studio_converter/cli.py --input examples/sentiment_analysis/completions/ --config examples/sentiment_analysis/config.xml --output output_dir --format CSV --csv-separator $'\t'
+```
+
+Running from python:
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/sentiment_analysis/config.xml')
+c.convert_to_csv('examples/sentiment_analysis/completions/', 'output_dir', sep='\t', header=True)
+```
+
+Getting output file `tmp/output.tsv`:
+```tsv
+reviewText	sentiment
+Good case, Excellent value.	Positive
+What a waste of money and time!	Negative
+The goose neck needs a little coaxing	Neutral
+```
+
+Use cases: any tasks
+
+#### CoNLL 2003
+
+Running from the command line:
+```bash
+python label_studio_converter/cli.py --input examples/named_entity/completions/ --config examples/named_entity/config.xml --output tmp/output.conll --format CONLL2003
+```
+
+Running from python:
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/named_entity/config.xml')
+c.convert_to_conll2003('examples/named_entity/completions/', 'tmp/output.conll')
+```
+
+Getting output file `tmp/output.conll`
+```text
+-DOCSTART- -X- O
+Showers -X- _ O
+continued -X- _ O
+throughout -X- _ O
+the -X- _ O
+week -X- _ O
+in -X- _ O
+the -X- _ O
+Bahia -X- _ B-Location
+cocoa -X- _ O
+zone, -X- _ O
+...
+```
+
+Use cases: text tagging
+
+
+#### COCO
+Running from the command line:
+```bash
+python label_studio_converter/cli.py --input examples/image_bbox/completions/ --config examples/image_bbox/config.xml --output tmp/output.json --format COCO --image-dir tmp/images
+```
+
+Running from python:
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/image_bbox/config.xml')
+c.convert_to_coco('examples/image_bbox/completions/', 'tmp/output.conll', output_image_dir='tmp/images')
+```
+
+Output images could be found in `tmp/images`
+
+Getting output file `tmp/output.json`
+```json
+{
+  "images": [
+    {
+      "width": 800,
+      "height": 501,
+      "id": 0,
+      "file_name": "tmp/images/62a623a0d3cef27a51d3689865e7b08a"
+    }
+  ],
+  "categories": [
+    {
+      "id": 0,
+      "name": "Planet"
+    },
+    {
+      "id": 1,
+      "name": "Moonwalker"
+    }
+  ],
+  "annotations": [
+    {
+      "id": 0,
+      "image_id": 0,
+      "category_id": 0,
+      "segmentation": [],
+      "bbox": [
+        299,
+        6,
+        377,
+        260
+      ],
+      "ignore": 0,
+      "iscrowd": 0,
+      "area": 98020
+    },
+    {
+      "id": 1,
+      "image_id": 0,
+      "category_id": 1,
+      "segmentation": [],
+      "bbox": [
+        288,
+        300,
+        132,
+        90
+      ],
+      "ignore": 0,
+      "iscrowd": 0,
+      "area": 11880
+    }
+  ],
+  "info": {
+    "year": 2019,
+    "version": "1.0",
+    "contributor": "Label Studio"
+  }
+}
+```
+
+Use cases: image object detection
+
+#### Pascal VOC XML
+Running from the command line:
+```bash
+python label_studio_converter/cli.py --input examples/image_bbox/completions/ --config examples/image_bbox/config.xml --output tmp/voc-annotations --format VOC --image-dir tmp/images
+```
+
+Running from python:
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/image_bbox/config.xml')
+c.convert_to_voc('examples/image_bbox/completions/', 'tmp/output.conll', output_image_dir='tmp/images')
+```
+
+Output images can be found in `tmp/images`
+
+Corresponding annotations could be found in `tmp/voc-annotations/*.xml`:
+```xml
+<?xml version="1.0" encoding="utf-8"?>
+<annotation>
+<folder>tmp/images</folder>
+<filename>62a623a0d3cef27a51d3689865e7b08a</filename>
+<source>
+<database>MyDatabase</database>
+<annotation>COCO2017</annotation>
+<image>flickr</image>
+<flickrid>NULL</flickrid>
+</source>
+<owner>
+<flickrid>NULL</flickrid>
+<name>Label Studio</name>
+</owner>
+<size>
+<width>800</width>
+<height>501</height>
+<depth>3</depth>
+</size>
+<segmented>0</segmented>
+<object>
+<name>Planet</name>
+<pose>Unspecified</pose>
+<truncated>0</truncated>
+<difficult>0</difficult>
+<bndbox>
+<xmin>299</xmin>
+<ymin>6</ymin>
+<xmax>676</xmax>
+<ymax>266</ymax>
+</bndbox>
+</object>
+<object>
+<name>Moonwalker</name>
+<pose>Unspecified</pose>
+<truncated>0</truncated>
+<difficult>0</difficult>
+<bndbox>
+<xmin>288</xmin>
+<ymin>300</ymin>
+<xmax>420</xmax>
+<ymax>390</ymax>
+</bndbox>
+</object>
+</annotation>
+```
+
+Use cases: image object detection
+
+### YOLO to Label Studio converter 
+
+Usage:
+
+```
+label-studio-converter import yolo -i /yolo/root/directory -o ls-tasks.json
+```
+
+Help:
+
+```
+label-studio-converter import yolo -h
+
+usage: label-studio-converter import yolo [-h] -i INPUT [-o OUTPUT]
+                                          [--to-name TO_NAME]
+                                          [--from-name FROM_NAME]
+                                          [--out-type OUT_TYPE]
+                                          [--image-root-url IMAGE_ROOT_URL]
+                                          [--image-ext IMAGE_EXT]
+
+optional arguments:
+  -h, --help            show this help message and exit
+  -i INPUT, --input INPUT
+                        directory with YOLO where images, labels, notes.json
+                        are located
+  -o OUTPUT, --output OUTPUT
+                        output file with Label Studio JSON tasks
+  --to-name TO_NAME     object name from Label Studio labeling config
+  --from-name FROM_NAME
+                        control tag name from Label Studio labeling config
+  --out-type OUT_TYPE   annotation type - "annotations" or "predictions"
+  --image-root-url IMAGE_ROOT_URL
+                        root URL path where images will be hosted, e.g.:
+                        http://example.com/images or s3://my-bucket
+  --image-ext IMAGE_EXT
+                        image extension to search: .jpg, .png
+```
+
+YOLO export folder example:
+
+```
+yolo-folder
+  images
+   - 1.jpg
+   - 2.jpg
+   - ...
+  labels
+   - 1.txt
+   - 2.txt
+
+  classes.txt
+```
+
+classes.txt example
+
+```
+Airplane
+Car
+```
+
+## Contributing
+
+We would love to get your help for creating converters to other models. Please feel free to create pull requests.
+
+- [Contributing Guideline](https://github.com/heartexlabs/label-studio/blob/develop/CONTRIBUTING.md)
+- [Code Of Conduct](https://github.com/heartexlabs/label-studio/blob/develop/CODE_OF_CONDUCT.md)
+
+## License
+
+This software is licensed under the [Apache 2.0 LICENSE](/LICENSE) © [Heartex](https://www.heartex.com/). 2020
+
+<img src="https://github.com/heartexlabs/label-studio/blob/master/images/opossum_looking.png?raw=true" title="Hey everyone!" height="140" width="140" />
+
+
+%package help
+Summary:	Development documents and examples for label-studio-converter
+Provides:	python3-label-studio-converter-doc
+%description help
+# Label Studio Converter
+
+[Website](https://labelstud.io/) • [Docs](https://labelstud.io/guide) • [Twitter](https://twitter.com/heartexlabs) • [Join Slack Community <img src="https://app.heartex.ai/docs/images/slack-mini.png" width="18px"/>](https://slack.labelstudio.heartex.com)
+
+## Table of Contents
+
+- [Introduction](#introduction)
+- [Examples](#examples)
+    - [JSON](#json)
+    - [CSV](#csv)
+    - [CoNLL 2003](#conll-2003)
+    - [COCO](#coco)
+    - [Pascal VOC XML](#pascal-voc-xml)
+- [Contributing](#contributing)
+- [License](#license)
+
+## Introduction
+
+Label Studio Format Converter helps you to encode labels into the format of your favorite machine learning library.
+
+## Examples
+
+#### JSON
+**Running from the command line:**
+
+```bash
+pip install -U label-studio-converter
+python label-studio-converter export -i exported_tasks.json -c examples/sentiment_analysis/config.xml -o output_dir -f CSV
+```
+
+**Running from python:**
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/sentiment_analysis/config.xml')
+c.convert_to_json('examples/sentiment_analysis/completions/', 'tmp/output.json')
+```
+
+Getting output file: `tmp/output.json`
+```json
+[
+  {
+    "reviewText": "Good case, Excellent value.",
+    "sentiment": "Positive"
+  },
+  {
+    "reviewText": "What a waste of money and time!",
+    "sentiment": "Negative"
+  },
+  {
+    "reviewText": "The goose neck needs a little coaxing",
+    "sentiment": "Neutral"
+  }
+]
+```
+
+Use cases: any tasks
+
+
+#### CSV
+Running from the command line:
+```bash
+python label_studio_converter/cli.py --input examples/sentiment_analysis/completions/ --config examples/sentiment_analysis/config.xml --output output_dir --format CSV --csv-separator $'\t'
+```
+
+Running from python:
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/sentiment_analysis/config.xml')
+c.convert_to_csv('examples/sentiment_analysis/completions/', 'output_dir', sep='\t', header=True)
+```
+
+Getting output file `tmp/output.tsv`:
+```tsv
+reviewText	sentiment
+Good case, Excellent value.	Positive
+What a waste of money and time!	Negative
+The goose neck needs a little coaxing	Neutral
+```
+
+Use cases: any tasks
+
+#### CoNLL 2003
+
+Running from the command line:
+```bash
+python label_studio_converter/cli.py --input examples/named_entity/completions/ --config examples/named_entity/config.xml --output tmp/output.conll --format CONLL2003
+```
+
+Running from python:
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/named_entity/config.xml')
+c.convert_to_conll2003('examples/named_entity/completions/', 'tmp/output.conll')
+```
+
+Getting output file `tmp/output.conll`
+```text
+-DOCSTART- -X- O
+Showers -X- _ O
+continued -X- _ O
+throughout -X- _ O
+the -X- _ O
+week -X- _ O
+in -X- _ O
+the -X- _ O
+Bahia -X- _ B-Location
+cocoa -X- _ O
+zone, -X- _ O
+...
+```
+
+Use cases: text tagging
+
+
+#### COCO
+Running from the command line:
+```bash
+python label_studio_converter/cli.py --input examples/image_bbox/completions/ --config examples/image_bbox/config.xml --output tmp/output.json --format COCO --image-dir tmp/images
+```
+
+Running from python:
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/image_bbox/config.xml')
+c.convert_to_coco('examples/image_bbox/completions/', 'tmp/output.conll', output_image_dir='tmp/images')
+```
+
+Output images could be found in `tmp/images`
+
+Getting output file `tmp/output.json`
+```json
+{
+  "images": [
+    {
+      "width": 800,
+      "height": 501,
+      "id": 0,
+      "file_name": "tmp/images/62a623a0d3cef27a51d3689865e7b08a"
+    }
+  ],
+  "categories": [
+    {
+      "id": 0,
+      "name": "Planet"
+    },
+    {
+      "id": 1,
+      "name": "Moonwalker"
+    }
+  ],
+  "annotations": [
+    {
+      "id": 0,
+      "image_id": 0,
+      "category_id": 0,
+      "segmentation": [],
+      "bbox": [
+        299,
+        6,
+        377,
+        260
+      ],
+      "ignore": 0,
+      "iscrowd": 0,
+      "area": 98020
+    },
+    {
+      "id": 1,
+      "image_id": 0,
+      "category_id": 1,
+      "segmentation": [],
+      "bbox": [
+        288,
+        300,
+        132,
+        90
+      ],
+      "ignore": 0,
+      "iscrowd": 0,
+      "area": 11880
+    }
+  ],
+  "info": {
+    "year": 2019,
+    "version": "1.0",
+    "contributor": "Label Studio"
+  }
+}
+```
+
+Use cases: image object detection
+
+#### Pascal VOC XML
+Running from the command line:
+```bash
+python label_studio_converter/cli.py --input examples/image_bbox/completions/ --config examples/image_bbox/config.xml --output tmp/voc-annotations --format VOC --image-dir tmp/images
+```
+
+Running from python:
+```python
+from label_studio_converter import Converter
+
+c = Converter('examples/image_bbox/config.xml')
+c.convert_to_voc('examples/image_bbox/completions/', 'tmp/output.conll', output_image_dir='tmp/images')
+```
+
+Output images can be found in `tmp/images`
+
+Corresponding annotations could be found in `tmp/voc-annotations/*.xml`:
+```xml
+<?xml version="1.0" encoding="utf-8"?>
+<annotation>
+<folder>tmp/images</folder>
+<filename>62a623a0d3cef27a51d3689865e7b08a</filename>
+<source>
+<database>MyDatabase</database>
+<annotation>COCO2017</annotation>
+<image>flickr</image>
+<flickrid>NULL</flickrid>
+</source>
+<owner>
+<flickrid>NULL</flickrid>
+<name>Label Studio</name>
+</owner>
+<size>
+<width>800</width>
+<height>501</height>
+<depth>3</depth>
+</size>
+<segmented>0</segmented>
+<object>
+<name>Planet</name>
+<pose>Unspecified</pose>
+<truncated>0</truncated>
+<difficult>0</difficult>
+<bndbox>
+<xmin>299</xmin>
+<ymin>6</ymin>
+<xmax>676</xmax>
+<ymax>266</ymax>
+</bndbox>
+</object>
+<object>
+<name>Moonwalker</name>
+<pose>Unspecified</pose>
+<truncated>0</truncated>
+<difficult>0</difficult>
+<bndbox>
+<xmin>288</xmin>
+<ymin>300</ymin>
+<xmax>420</xmax>
+<ymax>390</ymax>
+</bndbox>
+</object>
+</annotation>
+```
+
+Use cases: image object detection
+
+### YOLO to Label Studio converter 
+
+Usage:
+
+```
+label-studio-converter import yolo -i /yolo/root/directory -o ls-tasks.json
+```
+
+Help:
+
+```
+label-studio-converter import yolo -h
+
+usage: label-studio-converter import yolo [-h] -i INPUT [-o OUTPUT]
+                                          [--to-name TO_NAME]
+                                          [--from-name FROM_NAME]
+                                          [--out-type OUT_TYPE]
+                                          [--image-root-url IMAGE_ROOT_URL]
+                                          [--image-ext IMAGE_EXT]
+
+optional arguments:
+  -h, --help            show this help message and exit
+  -i INPUT, --input INPUT
+                        directory with YOLO where images, labels, notes.json
+                        are located
+  -o OUTPUT, --output OUTPUT
+                        output file with Label Studio JSON tasks
+  --to-name TO_NAME     object name from Label Studio labeling config
+  --from-name FROM_NAME
+                        control tag name from Label Studio labeling config
+  --out-type OUT_TYPE   annotation type - "annotations" or "predictions"
+  --image-root-url IMAGE_ROOT_URL
+                        root URL path where images will be hosted, e.g.:
+                        http://example.com/images or s3://my-bucket
+  --image-ext IMAGE_EXT
+                        image extension to search: .jpg, .png
+```
+
+YOLO export folder example:
+
+```
+yolo-folder
+  images
+   - 1.jpg
+   - 2.jpg
+   - ...
+  labels
+   - 1.txt
+   - 2.txt
+
+  classes.txt
+```
+
+classes.txt example
+
+```
+Airplane
+Car
+```
+
+## Contributing
+
+We would love to get your help for creating converters to other models. Please feel free to create pull requests.
+
+- [Contributing Guideline](https://github.com/heartexlabs/label-studio/blob/develop/CONTRIBUTING.md)
+- [Code Of Conduct](https://github.com/heartexlabs/label-studio/blob/develop/CODE_OF_CONDUCT.md)
+
+## License
+
+This software is licensed under the [Apache 2.0 LICENSE](/LICENSE) © [Heartex](https://www.heartex.com/). 2020
+
+<img src="https://github.com/heartexlabs/label-studio/blob/master/images/opossum_looking.png?raw=true" title="Hey everyone!" height="140" width="140" />
+
+
+%prep
+%autosetup -n label-studio-converter-0.0.53
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-label-studio-converter -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.53-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..7e4fcea
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+e863a6e4179c8a2340fe10cd429c6f6c  label-studio-converter-0.0.53.tar.gz