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Release 0.6.2

Bug Fixes and Other Improvements

  • Add support for Python 3.10, drop support for Python 3.6.
  • Bump requirements to latest versions.
  • Update Raspberry Pi and setup install to latest tensorflow-lite guidance.

Release 0.6.1

Bug Fixes and Other Improvements

Fix super invocations for onnx and tflite backends -- Calling predict() was broken because self.lock has not been assigned.

Release 0.6.0

Breaking Changes

  • Refactored the ML backends into sub-folders:
    • TFModel class: backends/backend_tf.py -> backends/tf/backend.py
    • TFLiteModel class: backends/backend_tflite.py -> backends/tflite/backend.py
    • ONNXModel class: backends/backend_onnx.py -> backends/onnx/backend.py

Bug Fixes and Other Improvements

  • Added Backend and ImageBackend abstract base classes in backends/backend.py
  • Added ImageBackend classes for each ML backend:
    • TFImageModel class: backends/tf/image_backend.py
    • TFLiteImageModel class: backends/tflite/image_backend.py
    • ONNXImageModel class: backends/onnx/image_backend.py
  • Added Grad-CAM++ implementation (ImageBackend.gradcam_plusplus(image, label) -> np.ndarray) for visualizing convolutional neural network heatmaps for explaining why the model predicted a certain label. Note: Grad-CAM++ only implemented currently in TFImageModel for TensorFlow Lobe model exports. The visualization can be called from the top-level API of ImageModel -> ImageModel.visualize(image)

Release 0.5.0

Breaking Changes

  • Install Lobe with your desired backend options through pip -- pip install lobe[all] for everything, pip install lobe[tf] for tensorflow, pip install --index-url https://google-coral.github.io/py-repo/ tflite_runtime; pip install lobe for tensorflow lite, pip install lobe[onnx] for onnx.

Release 0.4.0

Bug Fixes and Other Improvements

  • Fix API return signature for Lobe 0.9
  • Make backwards-compatible with earlier versions of model exports

Release 0.3.0

Breaking Changes

  • Previous use of Signature should be ImageClassificationSignature. from lobe.signature import Signature -> from lobe.signature import ImageClassificationSignature

Bug Fixes and Other Improvements

  • Update to TensorFlow 2.4 from 1.15.4
  • Add ONNX runtime backend
  • Use requests instead of urllib
  • Make backends thread-safe
  • Added constants file for signature keys to enable backwards-compatibility