Bump ultralytics from 8.4.171 to 8.4.174

[dependabot]

Bumps ultralytics from 8.4.171 to 8.4.174.

Release notes

Sourced from ultralytics's releases.

v8.4.174 - ultralytics 8.4.174 Fix AutoBatch backward profiling for YOLO26 and speed up prediction logs (#26547)

🌟 Summary

Release 8.4.174 fixes AutoBatch’s backward-pass profiling for YOLO26 and speeds up prediction summaries, alongside improvements to exports, inference, tracking, and data handling.

📊 Key Changes

• AutoBatch profiling — the main change: The profiler now finds tensors inside nested model outputs, so backward profiling works with YOLO26 detection heads and other task heads. Prediction summaries also avoid unnecessary tensor conversions, making their logs faster.
• More reliable inference and exports: Dynamic CoreML models can handle batches larger than their exported batch size by processing them in chunks. Hailo INT8 optimization now receives reusable calibration images, fixing calibration methods that need to revisit the data.
• Correct edge-case behavior: Fast-NMS now keeps detections when the IoU threshold is zero. Tracking hides unconfirmed tracks when appropriate without dropping first-frame detections. INT8 calibration warnings are limited to export formats that support calibration data.
• Improved data handling: Dataset splitting preserves the caller’s random state, DOTA splitting accepts images without label files, and image loading and shape calculations better handle EXIF rotations and Unicode paths. Saved crops also retain dotted source names.
• More dependable model setup: Predictors and trackers are rebuilt when relevant setup arguments change; model-format detection handles compound filenames more reliably. YouTube inputs no longer require a stream of at least 1080p.
• Documentation and packaging updates: Guides cover per-object depth estimates and newer Platform workflows, including image search and live-camera inference. Docker images can cache Python bytecode, while CI and Conda guidance were updated for more compatible dependency resolution.

🎯 Purpose & Impact

• AutoBatch can now measure YOLO26 training memory more accurately. Because backward profiling runs successfully, automatic batch-size selections may change; fixed-batch training and prediction are unaffected.
• Exported models are more practical across deployment targets. CoreML handles larger prediction batches, and Hailo calibration methods that revisit their input data can work as intended.
• Predictions and datasets are more consistent in edge cases, reducing unexpected missing detections, failed dataset splits, or crop files that are hard to match to their sources.
• No model architecture, checkpoint, or default changes are introduced.

What's Changed

• Fix misleading INT8 calibration warning for CoreML and MNN by @​amanharshx in ultralytics/ultralytics#26528
• Fix zero-threshold OBB suppression in Fast-NMS by @​aswanth-07 in ultralytics/ultralytics#26522
• Fix model.track leaking unconfirmed detections when no tracks are active by @​wizzseen in ultralytics/ultralytics#26525
• Keep dotted image and video names in save_crop file names by @​MohammadHijjawi97 in ultralytics/ultralytics#26524
• Document per-object depth with instance segmentation by @​Vaishnavi220506 in ultralytics/ultralytics#26521
• Revert "Fix model.track leaking unconfirmed detections when no tracks are active" (#26525) by @​glenn-jocher in ultralytics/ultralytics#26532
• Add YOLO26 Depth benchmarks to AMD documentation by @​lakshanthad in ultralytics/ultralytics#26518
• Restore nyu-depth.yaml to the PNG depth standard by @​glenn-jocher in ultralytics/ultralytics#26535
• Let Docker images cache Python bytecode and install with uv everywhere by @​glenn-jocher in ultralytics/ultralytics#26533
• Keep non-synset class names and sub-1080p YouTube streams by @​glenn-jocher in ultralytics/ultralytics#26536
• Solve conda Python and Ultralytics together in CI and docs by @​glenn-jocher in ultralytics/ultralytics#26542
• Pin AMD GPU CI to the ROCm 10.0.0 torch wheels that match the MIGraphX packages by @​onuralpszr in ultralytics/ultralytics#26550
• Treat images without a label file as backgrounds in split_dota by @​MohammadHijjawi97 in ultralytics/ultralytics#26539
• Preserve caller random state during autosplit by @​Vaishnavi220506 in ultralytics/ultralytics#26548
• Fix model.track unconfirmed leak without clearing first-frame dets by @​wizzseen in ultralytics/ultralytics#26543
• Sync docs with explore image search, live camera inference and class-name matching by @​raimbekovm in ultralytics/ultralytics#26538
• Rebuild the predictor and persisted trackers when their arguments change by @​raimbekovm in ultralytics/ultralytics#26541
• Fix dynamic CoreML inference above the export batch limit by @​amanharshx in ultralytics/ultralytics#26551
• Use rounded letterbox size for per-axis gains in scale_boxes and scale_coords by @​MaverickTopG in ultralytics/ultralytics#26546
• fix: materialize Hailo calibration set before optimization by @​nivosco in ultralytics/ultralytics#26544
• Detect model format from the terminal file suffix by @​raimbekovm in ultralytics/ultralytics#26549
• Cache EXIF-rotated image shapes as imread decodes them by @​raimbekovm in ultralytics/ultralytics#26545
• ultralytics 8.4.174 Fix AutoBatch backward profiling for YOLO26 and speed up prediction logs by @​aswanth-07 in ultralytics/ultralytics#26547

New Contributors

• @​MaverickTopG made their first contribution in ultralytics/ultralytics#26546

Full Changelog: ultralytics/ultralytics@v8.4.173...v8.4.174

v8.4.173 - ultralytics 8.4.173 Add AMD Xilinx Vitis AI export for Versal AI Edge Gen 2 NPUs (#26519)

🌟 Summary

... (truncated)

Commits

• ac5c3c0 ultralytics 8.4.174 Fix AutoBatch backward profiling for YOLO26 and speed u...
• b62cda1 Cache EXIF-rotated image shapes as imread decodes them (#26545)
• 18ce343 Detect model format from the terminal file suffix (#26549)
• 7142057 fix: materialize Hailo calibration set before optimization (#26544)
• 16b9b64 Use rounded letterbox size for per-axis gains in scale_boxes and `scale_coo...
• 9682c97 Fix dynamic CoreML inference above the export batch limit (#26551)
• efe2669 Rebuild the predictor and persisted trackers when their arguments change (#26...
• 8da90a3 Sync docs with explore image search, live camera inference and class-name mat...
• 97d50a6 Fix model.track unconfirmed leak without clearing first-frame dets (#26543)
• b739caa Preserve caller random state during autosplit (#26548)
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