«pnno» realizes the conversion of dataset or annotation data in different formats
This repo provides several script tools for the following aspects:
- convert different data sets into the format specified by the algorithm. Currently implemented
LabelImgannotation ->YoloV5data formatVisDronedata set ->TLT KITTIdata format
- convert PyTorch ImageFolder dataset to LMDB format
- show image in command line
Table of Contents
Background
The processing of data sets is often involved in the process of algorithm development, which needs to be converted into the format specified in algorithm training. Many scripts are accumulated over time. Whether these programs can be integrated together can not only be reused, but also reduce the difficulty of the next implementation. Let's Do It ! ! !
Install
$ pip install pnno
Usage
Dataset/Label Convert
Basic operation as follows:
$ pnno -f <cfg_file>
Operation 1: convert tzutalin/labelImg label file to ultralytics/yolov5 specified dataset format. Refer to the configuration file configs/labelimg_2_yolov5.yaml
Operation 1: convert VisDrone/VisDrone-Dataset dataset to KITTI label format. Refer to the configuration file configs/visdrone_2_tlt.yaml
Operation 3: convert PyTorch ImageFolder dataset to LMDB format. Refer to demo/imagenet_lmdb
For more usage, refert to demo/
Show Image in Command Line
$ simg -f <IMG_FILE>
Maintainers
- zhujian - Initial work - zjykzj
Contributing
Anyone's participation is welcome! Open an issue or submit PRs.
Small note:
- Git submission specifications should be complied with Conventional Commits
- If versioned, please conform to the Semantic Versioning 2.0.0 specification
- If editing the README, please conform to the standard-readme specification.
License
Apache License 2.0 © 2020 zjykzj
1 maintainer
Metadata
1 maintainer
Release files for pnno 0.3.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pnno-0.3.7.tar.gz | 16.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pnno-0.3.7-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 49.3 kB
Release files / pnno-0.3.7.tar.gz
| Download URL | pnno-0.3.7.tar.gz |
|---|---|
| Size | 16.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2755a92bdaaa3feb749f759f6e87ee0fc7a1720a12d62ab462bdb2b99aee9aad
|
|
BLAKE2b-256 checksum How to use checksums |
f049e44593e0bdf0e53ece31837db3d44437282ecb637b5129df99d8a3217792
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.1.2.post20210110 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5
|
Release files / pnno-0.3.7-py2.py3-none-any.whl
| Download URL | pnno-0.3.7-py2.py3-none-any.whl |
|---|---|
| Size | 32.9 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
f76611c381924ff7c615fd0200357ad8f7daa98fe162b4abce02eca70ddb8307
|
|
BLAKE2b-256 checksum How to use checksums |
7de2b4dec84724cbb515960e27dcca2a368fc563bf9828639b60ec7fa4cdc8f9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.1.2.post20210110 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5
|
Security for pnno 0.3.7
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
