v2.3.0

What's Changed

• Fix bug in image size setting in CustomResize transform by @dpascualhe in #314
• Image detection support by @SakhinetiPraveena in #312
• Streamlit UI by @SakhinetiPraveena in #318
• Updating Docs by @SakhinetiPraveena in #319

Full Changelog: v2.2.0...v2.3.0

v2.2.0

What's Changed

🆕 Features

• Allow for an arbitrary choice of splits during evaluation by @dpascualhe in #270
• Add custom image resizing strategy for keeping aspect ratio by @dpascualhe in #272
• Allow storing resulting predictions by @dpascualhe in #274
• Add WildScenes by @dpascualhe in #276
• To support GPU acceleration using MPS in MacOS by @SakhinetiPraveena in #279
• Update computational cost estimation and add CLI support by @dpascualhe in #300

📈 Updates

• Update README.md by @jayzalani in #287
• Update pre-processing pipeline for image segmentation by @dpascualhe in #302
• Update examples by @dpascualhe in #304

🔧 Fixes

• Avoid exception when Open3D-ML and torch versions don't match by @dpascualhe in #278
• Fix typo by @jayzalani in #285
• Fix weighted average by @dpascualhe in #289

📝 Tests

• Added tests for conversion.py. by @SakhinetiPraveena in #283
• Added tests for Metrics Module by @rudrakatkar in #286

🧰 CI/CD

• Add GitHub Action for Automated Sphinx Docs Update by @meekhumor in #290
• Upgrade setuptools and wheel during build docs action by @dpascualhe in #296
• Build: complete test for remaining utils files name: io.py and lidar.py (#239) by @jayzalani in #291
• Added github actions for automatically running tests. by @SakhinetiPraveena in #294
• Added: Caching in CI/CD workflow by @jayzalani in #305

New Contributors

• @SakhinetiPraveena made their first contribution in #279
• @jayzalani made their first contribution in #285
• @rudrakatkar made their first contribution in #286
• @meekhumor made their first contribution in #290

Full Changelog: v2.1.3...v.2.1.4

v2.1.3

What's Changed

• 261 render lidar point clouds as images by @dpascualhe in #262
• Add functions to calculate Precision, Recall and F1score. by @Afreen-Kazi-1 in #255
• Add support for RUGD dataset by @dpascualhe in #264
• Update docs by @dpascualhe in #266
• Update metrics & improvements in datasets by @dpascualhe in #267

New Contributors

• @Afreen-Kazi-1 made their first contribution in #255

Full Changelog: v2.1.2...v2.1.3

v2.1.2

What's Changed

• Fixes #252- Add a How to Contribute Section by @vm7151810 in #250
• Add confusion matrix by @dpascualhe in #253
• Add image segmentation tutorial by @dpascualhe in #254
• Add support for native tensorflow and pytorch models by @dpascualhe in #260
• Computational cost estimation by @dpascualhe in #258

New Contributors

• @vm7151810 made their first contribution in #250

Full Changelog: v2.1.1...v2.1.2

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/