Releases: JdeRobot/DetectionMetrics
v2.1.1
What's Changed
- Bump glob-parent and onchange in /docs by @dependabot in #227
- Add CLI by @dpascualhe in #249
- Increase version by @dpascualhe in #251
Full Changelog: v2.1.0...v2.1.1
v2.1.0
What's Changed
- Add support for LiDAR segmentation by @dpascualhe in #246. More specifically, added support for GOOSE and Rellis3D LiDAR segmentation datasets and PyTorch models (validated for RandLA-Net and KPConv from Open3D-ML.
- Update docs and increase version by @dpascualhe in #248
Full Changelog: v2.0.0...v2.1.0
v2.0.0
First release of DetectionMetrics v2. As stated in the new README:
DetectionMetrics has been redesigned with an expanded focus on image segmentation, with plans to extend support to object detection and LiDAR applications. As we move forward, v2 will be the actively maintained version, featuring continued updates and enhancements to keep pace with evolving AI and computer vision technologies.
Along with this release, we provide the detectionmetrics
Python library packaged as sdist
and wheel
files.
v1.0.0
Original, published version of DetectionMetrics:
- 🎓 Open Source Assessment of Deep Learning Visual Object Detection (Paniego et al, 2022)
- 📖 https://jderobot.github.io/DetectionMetrics
- 🐳 https://hub.docker.com/r/jderobot/detection-metrics
@article{PaniegoOSAssessment2022,
author = {Paniego, Sergio and Sharma, Vinay and Cañas, José María},
title = {Open Source Assessment of Deep Learning Visual Object Detection},
journal = {Sensors},
volume = {22},
year = {2022},
number = {12},
article-number = {4575},
url = {https://www.mdpi.com/1424-8220/22/12/4575},
pubmedid = {35746357},
issn = {1424-8220},
doi = {10.3390/s22124575},
image = {/assets/img/pub_img/transformer_transform.png},
}
Continuous build
Travis CI build log: https://travis-ci.org/JdeRobot/DetectionSuite/builds/523148204
v0.1
Travis CI build log: https://travis-ci.org/JdeRobot/dl-DetectionSuite/builds/441099842/