v0.3.7

fix build path

Signed-off-by: Cocoa <i@uwucocoa.moe>

v0.3.6

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

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

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

fix ci

v0.3.2

v0.3.2

v0.3.1

updated scripts

v0.3.0

`@moduledoc` => `@doc`

v0.2.1

use TensorFlow 2.11.1

v0.2.0

Changelog

v0.2.0 (2022-03-30)

Browse the Repository | Released Assets

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
    }
  ]