Adding new features to extend the functionality and capability of the API #4764
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204489224 by Zhichao Lu:
Modify ssd mobilenet v1 fpn config to be a bit more tolerant to OOM failure by bumping down the batch size to 64 and doubling the number of iterations to 25k. It now converges in 2.5 hours.
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204488942 by Zhichao Lu:
Internal change
204480631 by Zhichao Lu:
This CL makes sure that num_steps parameter are not updated to 0 if num_steps field is not mentioned in config.
The default behavior for number of steps parameter for training is infinite (train forever). The default value num_steps in train.proto is 0 (for training indefinitely). However the estimator/training function expects the num_steps to be set to None to train indefinitely.
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204437217 by Zhichao Lu:
Create a Docker image to support TensorFlow Lite / Object Detection blog post.
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204317570 by Zhichao Lu:
Internal change
PiperOrigin-RevId: 204489224
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Hi, is there a RetinaNet config file for the model zoo, or is this model ran differently? |
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@austinmw |
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Moving from slim-based training to Estimator-based training.
Support for RetinaNet, and a MobileNet adaptation of RetinaNet.
A novel SSD-based architecture called the Pooling Pyramid Network (PPN).
Releasing several TPU-compatible models. These can be found in the samples/configs/ directory with a comment in the pipeline configuration files indicating TPU compatibility.
Support for quantized training.
Updated documentation for new binaries, Cloud training, and Tensorflow Lite.