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Releases: cocoa-xu/tflite_beam

v0.3.7

03 Sep 19:46
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fix build path

Signed-off-by: Cocoa <[email protected]>

v0.3.6

17 Mar 14:09
3e73d60
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Changelog

v0.3.6 (2024-03-17)

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Changed

  • [deps] Use libedgetpu v0.1.9.
  • Use tensorflow v2.16.1.
  • Use libusb v1.0.27.
  • Use Erlang/OTP 25.x for precompiled binaries. This unified the required Erlang/OTP NIF version to 2.16 for precompiled binaries.
  • Detect and use HTTP_PROXY, HTTPS_PROXY, http_proxy and https_proxy when fetch preocmpiled binary from GitHub.

v0.3.5

24 Jan 06:17
a8364c9
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v0.3.5 (2024-01-24)

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Changed

  • Precompiled version for armv6 devices.
  • Removed TFBEAM_XNNPACK_ENABLE_ARM_I8MM option as it should work as long as a newer C compiler is used.
  • Updated metadata_schema to 1.5.0

v0.3.4

23 Jan 10:55
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v0.3.4 (2024-01-23)

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Changed

  • [deps] Use libedgetpu v0.1.8.
  • Use tensorflow v2.15.0.

v0.3.3

21 Jul 05:58
a9a3c53
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fix ci

v0.3.2

03 Apr 00:06
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v0.3.2

v0.3.1

02 Apr 23:34
0a84b38
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updated scripts

v0.3.0

02 Apr 18:31
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`@moduledoc` => `@doc`

v0.2.1

02 Apr 14:37
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use TensorFlow 2.11.1

v0.2.0

29 Mar 23:22
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Changelog

v0.2.0 (2022-03-30)

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Breaking Changes

  • Renamed root namespace from TFLiteElixir to TFLiteBEAM

Changes

  • buffer will be copied and managed when using TFLiteBEAM.FlatBufferModel.build_from_buffer/1.
  • TFLiteBEAM.TFLiteTensor.dims/1 returns a list (following TensorFlow Lite's C++ API convention) while TFLiteBEAM.TFLiteTensor.shape/1 returns a tuple (folllowing nx's convention.)

Added

  • Erlang support.

  • [example] added pose estimation example (#43) by @mnishiguchi

  • [example] use thunder model instead of lightning in pose estimation (#45) by @mnishiguchi

  • [example] added audio classification example

  • Experimental high-level module TFLiteBEAM.ImageClassification.

    iex> alias TFLiteBEAM.ImageClassification
    iex> {:ok, pid} = ImageClassification.start("test/test_data/mobilenet_v2_1.0_224_inat_bird_quant.tflite")
    iex> ImageClassification.predict(pid, "test/test_data/parrot.jpeg")
    %{class_id: 923, score: 0.70703125}
    iex> ImageClassification.set_label_from_associated_file(pid, "inat_bird_labels.txt")
    :ok
    iex> ImageClassification.predict(pid, "test/test_data/parrot.jpeg")
    %{class_id: 923, label: "Ara macao (Scarlet Macaw)", score: 0.70703125}
    iex> ImageClassification.predict(pid, "test/test_data/parrot.jpeg", top_k: 3)
    [
      %{class_id: 923, label: "Ara macao (Scarlet Macaw)", score: 0.70703125},
      %{
        class_id: 837,
        label: "Platycercus elegans (Crimson Rosella)",
        score: 0.078125
      },
      %{
        class_id: 245,
        label: "Coracias caudatus (Lilac-breasted Roller)",
        score: 0.01953125
      }
    ]