使用TensorflowLite框架扩展数字识别模型,支持训练新字符并识别
将官方案例digit_classifier进行扩展,支持新字符训练和识别。训练模型的导出和使用参考另一Demo:model_personalization(仅有Android的应用)
使用训练的接口时,需要导入TensorFlowLiteSelectTfOps,否则不支持
模型导出的代码详见:mnist_tflite_trans.ipynb
使用TensorflowLite框架扩展数字识别模型,支持训练新字符并识别
License: Apache License 2.0
使用TensorflowLite框架扩展数字识别模型,支持训练新字符并识别
将官方案例digit_classifier进行扩展,支持新字符训练和识别。训练模型的导出和使用参考另一Demo:model_personalization(仅有Android的应用)
使用训练的接口时,需要导入TensorFlowLiteSelectTfOps,否则不支持
模型导出的代码详见:mnist_tflite_trans.ipynb
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