dlc2yolo
Convert DeepLabCut dataset to YOLO format
Quick Start
import dlc2yolo as d2y
json_path = "./deeplabcut-dataset/labels.json"
csv_path = "./deeplabcut-dataset/collected_data.csv"
root_dir = "./deeplabcut-dataset/images/"
d2y.convert(json_path, csv_path, root_dir, datapoint_classes=[0, 1], n_keypoint_per_datapoint=30)
To install dlc2yolo using pip:
pip install dlc2yolo
1 maintainer
Metadata
1 maintainer
Release files for dlc2yolo 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dlc2yolo-1.0.0.tar.gz | 4.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dlc2yolo-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.8 kB
Release files / dlc2yolo-1.0.0.tar.gz
| Download URL | dlc2yolo-1.0.0.tar.gz |
|---|---|
| Size | 4.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
bf17384d7d6480d33d23d44a001a16a827433738cf7cdcc6d89f3fab2c58d2a1
|
|
BLAKE2b-256 checksum How to use checksums |
ad9fbed028ad83afde1ff9ffdae2b8afccfb4f8b63bef55119b159629ef46f18
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / dlc2yolo-1.0.0-py3-none-any.whl
| Download URL | dlc2yolo-1.0.0-py3-none-any.whl |
|---|---|
| Size | 5.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2442dfeef2133f75f56a3de7c1e3a8e9f305272554c7f3945afb9e7f3b3d6c18
|
|
BLAKE2b-256 checksum How to use checksums |
26713167847ec558541f03141dc749ae0ce00cbad59237b9cd9c0dd013cc4f27
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
