I am trying to train a TensorFlow custom classification model using a custom data generator on SageMaker Studio. However, the notebook did not utilize the GPU to train the model.
My instance type:
I have stored the images in a zip file on an S3 bucket and unzipped them during training, using the temporary path in the custom generator for training.
I want to add data augmentation while training the model.
The example below loads the images in numpy format and passes them directly to the training model. I want to load the images from the S3 bucket in zip format and train with a custom generator and augmentation.
I am trying to train a TensorFlow custom classification model using a custom data generator on SageMaker Studio. However, the notebook did not utilize the GPU to train the model.
My instance type:
I have stored the images in a zip file on an S3 bucket and unzipped them during training, using the temporary path in the custom generator for training.
I want to add data augmentation while training the model.
The example below loads the images in numpy format and passes them directly to the training model. I want to load the images from the S3 bucket in zip format and train with a custom generator and augmentation.
Link to the example