The solution of model breakpoint continuous training（断点续训，无需重新训练）

[kissablemt]

Take mobilenet's classification model as an example

Remember to backup!

1. By default, after your training, there is a m.tflite.h5 file in maix_train/out. Copy it to some place else.
2. You need to modify lines 121 to 129 in maix_train/train/classifier/__init__.py
3. Load the model with self.model = tf.keras.models.load_model("Your filepath of *.h5 ")

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Mobilenet的分类模型测试过可行

记得备份！

1. 默认情况下，在你训练之后，在 maix_train/out 中有一个 m.tflite.h5 文件。 将其复制到其他地方。
2. 需要修改maix_train/train/classifier/__init__.py中的121到129行
3. 使用self.model = tf.keras.models.load_model("Your filepath of *.h5")加载模型