This repo contains end-to-end examples of model inference using TensorFlow Go API. More are coming. Contributions with similar simple examples (or by further improving existing examples) are highly welcome. Please file a pull request or an issue on GitHub.
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Image Classification: Classify the main object category within an image.
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Image Object Detection: Identify the object category and locate the position using a bounding box for every known object within an image.
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Image Instance Segmentation: Identify each object instance of each pixel for every known object within an image. Labels are instance-aware.
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image Semantic Segmentation: Identify the object category of each pixel for every known object within an image. Labels are class-aware.
Refer to Install TensorFlow for Go.
- TensorFlow Go package
- TensorFlow model repo