Dataset-convertor

Latest version: v0.0.2

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0.0.2

Current support format

Currently, the following formats are supported:

| from | to | implemented |
| :--------: | :--------------------: | ----------- |
| PASCAL VOC | YOLO(TXT files) | Yes |
| YOLO | PASCAL VOC (XML files) | Yes |

Upcoming support format

| from | to | Issue/PR(if any) |
| :--------: | :-----------------------: | ---------------- |
| PASCAL VOC | COCO (JSON files) | No |
| PASCAL VOC | TFRecord (TFRecord files) | No |
| COCO | PASCAL VOC (XML files) | No |
| COCO | YOLO (TXT files) | No |
| COCO | TFRecord (TFRecord files) | No |
| YOLO | COCO (JSON files) | No |
| YOLO | TFRecord (TFRecord files) | No |

Installation

Installation from source code

bash
git clone https://github.com/codePerfectPlus/dataset-convertor/


bash
cd dataset-convertor
python -m venv venv


bash
source venv/bin/activate
pip install requirements.txt


Installation from PyPI

bash
pip install dataset-convertor


Usage

convert annotations from one format to another format.

dataset formatting example:

- data/pascal_voc/JPEGImages/*.jpg
- data/pascal_voc/Annotations/*.xml

- data/yolo5/JPEGImages/*.jpg
- data/yolo5/labels/*.txt

Pascal VOC(xml) to yolo(txt)

bash
from convert import Convertor

con = Convertor(input_folder='/home/user/data/pascal_voc', output_folder='/home/user/data/yolo5')
con.voc2yolo()


from yolo(txt) to Pascal VOC(xml)

bash
from convert import Convertor
con = Convertor(input_folder='/home/user/data/yolo5', output_folder='/home/user/data/pascal_voc')
con.yolo2voc()

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