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由 pkulzc 提交于
* Merged commit includes the following changes: 207771702 by Zhichao Lu: Refactoring evaluation utilities so that it is easier to introduce new DetectionEvaluators with eval_metric_ops. -- 207758641 by Zhichao Lu: Require tensorflow version 1.9+ for running object detection API. -- 207641470 by Zhichao Lu: Clip `num_groundtruth_boxes` in pad_input_data_to_static_shapes() to `max_num_boxes`. This prevents a scenario where tensors are sliced to an invalid range in model_lib.unstack_batch(). -- 207621728 by Zhichao Lu: This CL adds a FreezableBatchNorm that inherits from the Keras BatchNormalization layer, but supports freezing the `training` parameter at construction time instead of having to do it in the `call` method. It also adds a method to the `KerasLayerHyperparams` class that will build an appropriate FreezableBatchNorm layer according to the hyperparameter configuration. If batch_norm is disabled, this method returns and Identity layer. These will be used to simplify the conversion to Keras APIs. -- 207610524 by Zhichao Lu: Update anchor generators and box predictors for python3 compatibility. -- 207585122 by Zhichao Lu: Refactoring convolutional box predictor into separate prediction heads. -- 207549305 by Zhichao Lu: Pass all 1s for batch weights if nothing is specified in GT. -- 207336575 by Zhichao Lu: Move the new argument 'target_assigner_instance' to the end of the list of arguments to the ssd_meta_arch constructor for backwards compatibility. -- 207327862 by Zhichao Lu: Enable support for float output in quantized custom op for postprocessing in SSD Mobilenet model. -- 207323154 by Zhichao Lu: Bug fix: change dict.iteritems() to dict.items() -- 207301109 by Zhichao Lu: Integrating expected_classification_loss_under_sampling op as an option in the ssd_meta_arch -- 207286221 by Zhichao Lu: Adding an option to weight regression loss with foreground scores from the ground truth labels. -- 207231739 by Zhichao Lu: Explicitly mentioning the argument names when calling the batch target assigner. -- 207206356 by Zhichao Lu: Add include_trainable_variables field to train config to better handle trainable variables. -- 207135930 by Zhichao Lu: Internal change. -- 206862541 by Zhichao Lu: Do not unpad the outputs from batch_non_max_suppression before sampling. Since BalancedPositiveNegativeSampler takes an indicator for valid positions to sample from we can pass the output from NMS directly into Sampler. -- PiperOrigin-RevId: 207771702 * Remove unused doc.
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