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如何微调tensorflow对象检测api模型?

[英]how to fine tune the tensorflow object detection api model?

I have used 300 images, in that used 80%-20% as a train and test data respectively, as per eval.py, I am getting 13 mAP%.我使用了 300 张图像,其中分别使用了 80%-20% 作为训练和测试数据,根据 eval.py,我得到了 13 mAP%。 in config batch size is 1, the number of steps is 200k, input image size is 512x512.在配置中批量大小为 1,步数为 200k,输入图像大小为 512x512。

so what is the solution?那么解决方案是什么? to fine-tune only?仅微调?

请参考这个SO 问题它解释了如何微调对象检测 API 模型。

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