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v2.0.0

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@haowen11 haowen11 released this 04 Sep 10:55
· 23 commits to main since this release

Major Features

  • Provide efficient and highly scalable C APIs for inference based on models exported from Mech-DLK. Supported algorithms are as follows:

    • Classification
    • Object Detection
    • Instance Segmentation
    • Defect Segmentation
    • Fast Positioning
  • Support various inference backends and high-performance deployment on devices using GPU or CPU. The available inference backends include the following:

    • GpuDefault: inference using the default GPU mode.
    • GpuOptimization: inference using the GPU optimization mode, which requires 1 to 5 minutes for optimization. This mode also supports selecting floating-point precision.
    • CPU: model deployment based on CPU (for devices without a GPU).
  • Support inference based on cascaded models to simplify the deployment of complex projects.

  • Enable simultaneous inference of multiple images to enhance inference efficiency.