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v0.2.6 (2024-07-03)

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Breaking changes (compile-time and CUDA users only)

  • EVISION_CUDA_VERSION, now it should be the major version of CUDA, e.g., 12.
  • EVISION_CUDNN_VERSION, it should be the major version of cuDNN, e.g., 9.

Changes

  • Added precompiled version with CUDA 12.x and cudnn 9.x for aarch64-linux-gnu.

v0.2.5 (2024-07-01)

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Changes

  • Validate possible keyword arguments for functions that accept named arguments.

      iex> img = Evision.imread("test/testdata/dog.jpg")
    
      # valid keyword argument
      iex> Evision.applyColorMap(src: img, colormap: Evision.Constant.cv_COLORMAP_AUTUMN)
      %Evision.Mat{
        channels: 3,
        dims: 2,
        type: {:u, 8},
        raw_type: 16,
        shape: {576, 768, 3},
        ref: #Reference<0.97833242.1116078104.245977>
      }
      
      # list all possible keyword arguments if the user provides any invalid ones
      iex> Evision.applyColorMap(src: img, colorMap: Evision.Constant.cv_COLORMAP_AUTUMN)
      ** (ArgumentError) unknown keys [:colorMap] in [src: %Evision.Mat{channels: 3, dims: 2, type: {:u, 8}, raw_type: 16, shape: {576, 768, 3}, ref: #Reference<0.97833242.1116078110.246705>}, colorMap: 0], the allowed keys are: [:dst, :colormap, :userColor, :src]
          (elixir 1.18.0-dev) lib/keyword.ex:362: Keyword.validate!/2
          (evision 0.2.4) lib/generated/evision.ex:4603: Evision.applyColorMap/1
          iex:4: (file)
  • Generated typed enums for OpenCV's cv::flann.

  • This should include the following enums and place them in the corresponding modules.

    • flann_algorithm_t
    • flann_centers_init_t
    • flann_log_level_t
    • flann_distance_t
    • flann_datatype_t

    For example, flann_algorithm_t will be put in the Evision.Flann.Algorithm module:

    defmodule Evision.Flann.Algorithm do
      @type enum :: integer()
      @doc enum: true
      def cv_FLANN_INDEX_LINEAR, do: 0
      @doc enum: true
      def cv_FLANN_INDEX_KDTREE, do: 1
      @doc enum: true
      def cv_FLANN_INDEX_KMEANS, do: 2
      @doc enum: true
      def cv_FLANN_INDEX_COMPOSITE, do: 3
      @doc enum: true
      def cv_FLANN_INDEX_KDTREE_SINGLE, do: 4
      @doc enum: true
      def cv_FLANN_INDEX_HIERARCHICAL, do: 5
      @doc enum: true
      def cv_FLANN_INDEX_LSH, do: 6
      @doc enum: true
      def cv_FLANN_INDEX_SAVED, do: 254
      @doc enum: true
      def cv_FLANN_INDEX_AUTOTUNED, do: 255
    end

v0.2.4 (2024-06-20)

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Changes

  • Allow users to use named arguments.

v0.2.3 (2024-06-17)

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Added

  • Experimental support for use shared CUDA memory via Evision.CUDA.GpuMat.from_pointer/{3,4}.

v0.2.2 (2024-06-15)

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Added

  • Experimental support for CUDA shared memory via Evision.CUDA.GpuMat.to_pointer/{1,2}.
  • Experimental support for Gleam. See gleam_evision_demo for more information.

Changes

  • General improvements to the typespecs. Enumerators now also have their own modules.

  • Experimental support for using Nx.tensor directly without calling helper functions like Evision.Mat.from_nx/1, Evision.Mat.from_nx_2d/1 and Evision.Mat.last_dim_as_channel/1 .

  • Support /AOS (arithmetic op src) marks in OpenCV source code.

    This should make evision's behaviour in line with OpenCV (C++ and Python).

    For example, in Evision.add/2, the expected behaviour should be different when src1/src2 are single number and they are tuple/array.

    add(src, X) where X is a number (or Nx.tensor(X)), it means add(src, {X,X,X,X})

    while add(src, {X}) (or add(src, Nx.tensor([X]))) means add(src, {X,0,0,0}).

  • Allow a single number to be passed as Evision.Mat.maybe_mat_in() and Evision.scalar().

  • Allow a n-tuple (containing n numbers) to be passed as Evision.Mat.maybe_mat_in() and Evision.scalar().

  • Evision.Mat now implements Nx.LazyContainer protocol.

Fixes

  • Fixed Erlang bindings when converting from Elixir structs to Erlang records and vice versa.

v0.2.1 (2024-06-04)

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Fixes

  • Fixed function specs where type hints for sub-classes were using the type of their parent-classes.

v0.2.0 (2024-06-03)

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Changes

  • Uses OpenCV 4.10.0. Some APIs may have changed, please see OpenCV's release note for more information.

Change logs for v0.1.x can be found in the CHANGELOG.v0.1.md