Label Converter
Hello everyone, I'm trying to develop a solution to the problem I've had before while working on Computer vision with this repo.
To train different models, there must be different types of labeling, for example coco, voc etc.
Added labelling types.
- COCO
- Pascal VOC
- Create ML
- YOLO Darknet
- Tensorflow Object Detection CSV
- Tensorflow TFRecord
Installation
Use the package manager pip to install foobar.
pip install all_label_converter
Usage
import all_label_converter
common_objects = all_label_converter.import_dataset('{files_path}', '{type_dataset_ex_coco}')
all_label_converter.export_dataset(common_objects, "{target_dataset}", "{target_file_path}")
And you can see dataset translated according to your request.
License
Release files for all-label-converter 0.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| all_label_converter-0.1.7.tar.gz | 10.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| all_label_converter-0.1.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.5 kB
Release files / all_label_converter-0.1.7.tar.gz
| Download URL | all_label_converter-0.1.7.tar.gz |
|---|---|
| Size | 10.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
493b8218bb2a5da05b591cd3f6f2fb66285203d5be5705d3a2446b41767d1c73
|
|
BLAKE2b-256 checksum How to use checksums |
fd6ab8d9511fe22a2ecbe70e0bfa51f46d27173201583ba8b6cf143f5f22105e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7
|
Release files / all_label_converter-0.1.7-py3-none-any.whl
| Download URL | all_label_converter-0.1.7-py3-none-any.whl |
|---|---|
| Size | 15.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
01608a032f6023f41c57ed062a31e5a58b9f759af7b807527c0351a1f54c0649
|
|
BLAKE2b-256 checksum How to use checksums |
b1cd59a715bbc654e372c4a5c04136c99aef62118d841a9a6f33b6dcf299f887
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7
|