v0.16.0

[0.16.0] - 2026-06-25

Added

• Add LTDETRv2, an improved object detection model that reaches 50.7
  mAP_50:95 on the COCO 2017 validation set (+1 mAP_50:95 over the
  previous LTDETR with a 55% shorter training schedule) and 5.4ms latency on an NVIDIA
  T4 (TensorRT, FP16, batch size 1, 640x640). Use the compact ltdetrv2-s/m/l/x models,
  which are built on EdgeCrafter ECViT backbones.
• Add depth estimation inference with Depth Anything V2 and V3 models, covering both
  relative and metric depth (dinov2/dav2-relative-*, dinov2/dav2-metric-*,
  dinov2/dav3-relative-large, dinov2/dav3-metric-large). Checkpoints are converted
  to the LightlyTrain format; the Apache-2.0 models are hosted for download, while the
  CC-BY-NC-4.0 Depth Anything V2 variants must be converted locally with
  convert_checkpoint_dav2.
• Add the benchmark_object_detection command (beta) to measure inference
  performance of an object detection model on a validation dataset. It reports detection
  accuracy (mAP/mAR, including per-class mAP) and timing statistics (latency and
  throughput), and writes a JSON result and a human-readable Markdown report. This is
  useful to compare inference backends and precisions before deployment. See the
  benchmarking documentation
  for details.
• Add Slicing Aided Hyper Inference (SAHI) for EoMT instance segmentation to improve
  small instance recall at inference via model.predict_sahi() method.

Changed

• Update LTDETRv2 training defaults: the default batch_size is now 32 (was 16),
  the default training schedule is 266_112 steps (6x ECDet-S, ~72 epochs at batch size
  32), backbone_lr_factor is now 0.05 (was 1e-2), and lr_warmup_steps defaults
  to "auto" so short runs no longer warm up for longer than they train.

What's Changed

• Upgrade workflow defaults to be compatible with Node24 by @yutong-xiang-97 in #755
• Support Any Backbone Pt1 by @liopeer in #742
• Make dinov3 ltdetr object detection ONNX/TensorRT export work with FP16 by @simonschoelly in #751
• Fix failing onnx export tests by switching to torch dynamo by @simonschoelly in #752
• Revise README for commercial license details by @matthiasheller in #767
• Add Depth Estimation (DAv3) to LightlyTrain by @mrpositron in #762
• Update MLFlowLogger to use SQLite tracking URI for tests by @mrpositron in #770
• Refactoring the depth estimation (DAv3) inference code by @mrpositron in #768
• Add tiling utilities for SAHI support for instance segmentation by @yutong-xiang-97 in #773
• Add predict_sahi for EoMT instance segmentation by @yutong-xiang-97 in #774
• Add docs for SAHI for instance segmentation by @yutong-xiang-97 in #775
• feat: add ECViT LTDETR backbone wrapper by @gabrielfruet in #772
• switch license headers by @liopeer in #763
• Benchmark command for object detection by @simonschoelly in #764
• Replace torch.tile with torch.cat for better ONNX export by @simonschoelly in #783
• Add license information by @liopeer in #784
• feat: incorporate ECViT backbones into DINOv3 LTDETR by @gabrielfruet in #778
• Fix handler test for CI by @yutong-xiang-97 in #785
• Add Metric Depth Estimation (DAv3) by @mrpositron in #776
• Add Depth Estimation (DAv2) to LightlyTrain by @mrpositron in #779
• Any backbone for linear segmentation by @liopeer in #777
• Rename Linear Segmentation by @liopeer in #780
• Add DAv2 Metric Inference by @mrpositron in #786
• Add init file to linseg by @liopeer in #789
• Dependency group for tensorrt and ONNX by @liopeer in #790
• Fix overflow in LT-DETR ViT-S TensorRT by @liopeer in #792
• Point Index banner to the Demo Page (Docs) by @mrpositron in #793
• Add EdgeCrafter Components for Instance Segmentation by @yutong-xiang-97 in #787
• Refactor LTDETR task model by @yutong-xiang-97 in #791
• docs: EdgeCrafter LTDETR by @gabrielfruet in #781
• Host checkpoints and refactor the code by @mrpositron in #788
• Update Docs and Readme for Depth Estimation Inference by @mrpositron in #797
• Add Favicon by @mrpositron in #799
• Add benchmark command to docs by @liopeer in #794
• Update README with contact information by @matthiasheller in #796
• Add task_model.py for LTDETR Instance Segmentation by @yutong-xiang-97 in #795
• Add ltdetrv2-s/m/l/x aliases for EdgeCrafter LT-DETR models by @gabrielfruet in #800
• Improve flat cosine error message by @gabrielfruet in #804
• Add Matcher and Losses for LTDETRv2 Instance Segmentation by @yutong-xiang-97 in #803
• docs: ECViT-T benchmark and 0.16.0 news entry (TRN-1948) by @gabrielfruet in #801
• feat: update LTDETRv2 defaults and host ECViT-T checkpoint by @gabrielfruet in #798
• Update YOLO tutorial, change YOLOv11 with YOLOv26 by @mrpositron in #805
• fix: replace broken ltdetrv2-s-coco checkpoint by @gabrielfruet in #806
• Update Docs, README, and CHANGELOG for New Release by @yutong-xiang-97 in #808
• Release v0.16.0 by @yutong-xiang-97 in #809

Full Changelog: v0.15.1...v0.16.0