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@ongtw ongtw released this 18 Aug 08:37
· 8 commits to main since this release
1.3.0
ed695c1
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Learn about vigilant mode.

Process

  • Change --verify_install from a runtime option to a CLI command verify-install.
  • Add --viewer to activate the new PeekingDuck Viewer (see User Interface below).

Features

  • Add new augment.undistort node to remove distortion from a wide-angle camera image.
  • Add new dabble.camera_calibration node to calculate the camera coefficients for removing image distortion, used by augment.undistort.
  • Add new instance segmentation model, with new model nodes model.mask_rcnn and model.yolact_edge.
    model.mask_rcnn supports ResNet50 and ResNet101 backbones.
    model.yolact_edge supports ResNet50, ResNet101 and MobileNetV2 backbones.
  • Add new draw.mask node to draw instance segmentation masks on image, can be used to mask out objects or background.
  • Add new TensorRT optimized models for model.movenet and model.yolox.
  • Add node config type checking for all pipeline nodes with user configurable parameters. Will throw a runtime error on wrong config type.

Deprecations and Removals

  • peekingduck run --verify_install is deprecated and replaced by peekingduck verify-install command instead.

Documentation

  • Add new use case Privacy Protection (People & Screens) using instance segmentation and blurring.
  • Add new Edge AI documentation on how to install and run TensorRT models, including performance benchmark charts.

Dependencies

  • Add typeguard library typeguard ≥ 2.13.3.

User Interface

  • Add PeekingDuck Viewer, a GUI built on TkInter that supports a playlist of multiple pipelines, callable via peekingduck run --viewer. Upon completion of a pipeline, the user may replay the output video or scrub to a specific frame of interest for analysis.

Refactor

  • Streamline peekingduck/cli.py by encapsulating source codes for CLI commands nodes, init, run and create-node under peekingduck/commands/ folder.
  • Add PeekingDuckLogo.png to setup.cfg and add setup.py to support older pip versions.
  • Add new model config field model_format for model.movenet and model.yolox to allow selection between the original models or the new TensorRT models.
  • Refactor model.movenet and model.yolox inference code to work with TensorRT models.
  • Define _get_config_types() method for all nodes with user configurable parameters. Relevant to most nodes under peekingduck/pipeline/nodes/ folder.
  • Use ThresholdCheckerMixin to check bounds in dabble.tracking.
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