TensorFlow Go Examples

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.

Models

• Image Classification: Classify the main object category within an image.

• Image Object Detection: Identify the object category and locate the position using a bounding box for every known object within an image.

• Image Instance Segmentation: Identify each object instance of each pixel for every known object within an image. Labels are instance-aware.

• image Semantic Segmentation: Identify the object category of each pixel for every known object within an image. Labels are class-aware.

• image Enhancement

TensorFlow Go API

Refer to Install TensorFlow for Go.

To inspect pre-trained frozen graphs for input and output tensor names

• Netron
• How to inspect a pre-trained TensorFlow model

References

• TensorFlow Go package
• TensorFlow model repo