Skip to content

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project (v1.0.0 and above) adheres to Semantic Versioning.

WARNING: currently the landingai library is in alpha version, and it's not strictly following Semantic Versioning. Breaking changes will result a minor version bump instead of a major version bump. Feature releases will result in a patch version bump.

[0.3.0] - 2023-10-04

Major changes

Migration Guide

Whenever you iterate over an image source (NetworkedCamera, Webcam, etc), each iteration yields a single Frame, and not a FrameSet. But most FrameSet operations were migrated to Frame class, so you can still use the same API to manipulate the Frame object with very minor changes:

  1. On for frame in image_source:, don't use frame.frames[0] anymore. Instead, you should just use the frame object directly (to do resize, check predictions, overlay predictions, etc).
  2. Frame.save_image receives a direct file path to where the frame image should be saved (not just a prefix, as it happens with FrameSet).

[0.2.0] - 2023-07-12

Major changes

Migration Guide

  1. The landingai.vision_pipeline module was migrated to landingai.pipeline.FrameSet
  2. All the image sources were consolidated under landingai.pipeline.image_source in particular NetworkedCamera
  3. read_file is now in landingai.storage.data_access and now returns a dictionary. The file contents can be found under "content".

[0.1.0] - 2023-07-06

Major changes

Migration Guide

Below section shows you how to fix the backward incompatible changes when you upgrade the version to 0.1.0.

  1. Generate your v2 API key from LandingLens. See here for more information.

  2. The api_secret parameter is removed in the Predictor and OcrPredictor class. api_key is a named parameter now, which means you must specify the parameter name, i.e. api_key, if you want to pass it to a Predictor as an argument. See below code as an example:

    Before upgrade to 0.1.0 

    predictor = Predictor(endpoint_id, api_key, api_secret)
    After upgrade to 0.1.0 
    predictor = Predictor(endpoint_id, api_key=api_key)