🌟 Summary
The Ultralytics v8.2.60 release includes several updates that enhance functionality and improve performance, along with documentation improvements and bug fixes.
📊 Key Changes
- 🖼️ Enhanced Documentation for Datasets: Added an embedded YouTube video tutorial for the Caltech-256 dataset.
- 🔍 Improved Validation Scripts: Refined the detection and segmentation validation scripts with more precise checks for various datasets.
- 🛠️ Code Cleanup: Removed the
process_mask_upsamplefunction to streamline code and improve readability. - 📝 Version Update: Incremented the version number from 8.2.59 to 8.2.60.
- 🏗️ Export Fix: Updated the file-moving operation in the NCNN exporter to use
shutil.move()for improved reliability and clarity.
🎯 Purpose & Impact
- 🎓 Educational Resource: The new tutorial video in the Caltech-256 dataset documentation helps users quickly get up to speed with training image classification models using the dataset.
- 🧩 Validation Accuracy: Updates to the validation scripts ensure more accurate dataset handling, especially for COCO and LVIS datasets, which is crucial for reliable model evaluation.
- 🚀 Performance Enhancement: Removal of unnecessary functions and streamline of code can lead to more efficient operations, reducing potential confusion and simplifying maintenance.
- 📦 Export Reliability: The updated file-moving operation in the exporter script minimizes errors and improves the robustness of model deployment workflows.
What's Changed
- Allow
test-dev2017.txtfor val by @yang-0201 in #14519 - Add https://youtu.be/isc06_9qnM0 to docs by @RizwanMunawar in #14525
- Fix NCNN multiple-volumes PNNX download bug by @akukulanski in #14533
ultralytics 8.2.60refactorprocess_mask_upsampleby @Laughing-q in #14474
New Contributors
- @yang-0201 made their first contribution in #14519
- @akukulanski made their first contribution in #14533
Full Changelog: v8.2.59...v8.2.60