Tensorflow object detection : Using transfer learning on local running

Question

From Tensorflow docs, we can use transfer learning for object detection when you run from cloud. Also, can we using transfer-learning for running locally ? i see that we have a doc about running on local but i can not find any documents that write about transfer learning when run on local machine . I expected it in pipeline but i can not find it. So how can we config transfer learning on running locally ?

Derek Chow · Accepted Answer · 2017-06-19 21:16:18Z

6

You are correct. You can use transfer learning when running locally.

The steps are similar to the instruction on running pets on google cloud, but your training config should reference your local file system instead of a path on GCS. In particular, you need to configure the train_config.fine_tune_checkpoint field to point to the unzipped checkpoint.

See the sample resnet101 config for more details. You should only have to change the PATH_TO_BE_CONFIGURED strings to point to the correct value.

answered Jun 19, 2017 at 21:16

Derek Chow

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