I have a project where I have used labelimg to label various bounding boxes for an object detection model. I have spent quite a bit of time now trying to install dependencies in order to train a model from TF model zoo on the new dataset, and think I am close by using a Docker TF image.
Before this: I tried to use Sagemaker thinking it could take my training data and then build a model for me so that I did not have to go through this process. I think I am close, but the training command and/or pipeline.config are not aligning leading to an issue where even though the checkpoint of the model is there: the training command is saying it is not. So, hoping to get through that step.
Still, this leads me to wonder if Sagemaker is supposed to assist with this: I had more difficulties with it than with installing and creating an app on my local machine. I have labels maps at the ready, and build the various tfrecords. Seems like it should have been able to take my labeling data, the model I want to base mine upon: and then run with it.
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JumpStart, Models, Pipelines, Quickstart Solutions
Question
I have a project where I have used labelimg to label various bounding boxes for an object detection model. I have spent quite a bit of time now trying to install dependencies in order to train a model from TF model zoo on the new dataset, and think I am close by using a Docker TF image.
Before this: I tried to use Sagemaker thinking it could take my training data and then build a model for me so that I did not have to go through this process. I think I am close, but the training command and/or pipeline.config are not aligning leading to an issue where even though the checkpoint of the model is there: the training command is saying it is not. So, hoping to get through that step.
Still, this leads me to wonder if Sagemaker is supposed to assist with this: I had more difficulties with it than with installing and creating an app on my local machine. I have labels maps at the ready, and build the various tfrecords. Seems like it should have been able to take my labeling data, the model I want to base mine upon: and then run with it.
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