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Download and convert MIDV-500 annotations to COCO instance segmentation format

Project description

Download and convert MIDV-500 dataset into COCO instance segmentation format

Automatically download/unzip MIDV-500 dataset and convert the annotations into COCO instance segmentation format.

Then, dataset can be directly used in the training of Yolact, Detectron type of models.

Package maintainer: Fatih Cagatay Akyon

MIDV-500 Dataset

MIDV-500 consists of 500 video clips for 50 different identity document types with ground truth which allows to perform research in a wide scope of various document analysis problems.

teaser

You can find more detail on: MIDV-500: A Dataset for Identity Documents Analysis and Recognition on Mobile Devices in Video Stream

Getting started

Installation

pip install midv500

Usage

# import package
import midv500

# set directory for dataset to be downloaded
dataset_dir = 'data/midv500/'

# download and unzip midv500 dataset
midv500.download_dataset(dataset_dir)

# set directory for coco annotations to be saved
export_dir = 'data/midv500/'

# convert midv500 annotations to coco format
midv500.convert_to_coco(dataset_dir, export_dir)

Project details


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Files for midv500, version 0.1.2
Filename, size File type Python version Upload date Hashes
Filename, size midv500-0.1.2-py3-none-any.whl (7.8 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size midv500-0.1.2.tar.gz (6.8 kB) File type Source Python version None Upload date Hashes View

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