• Zhichao Lu's avatar
    Merged commit includes the following changes: · 78d5f8f8
    Zhichao Lu authored
    187187978  by Zhichao Lu:
    
        Only updating hyperparameters if they have non-null values.
    
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    187097690  by Zhichao Lu:
    
        Rewrite some conditions a bit more clearly.
    
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    187085190  by Zhichao Lu:
    
        More informative error message.
    
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    186935376  by Zhichao Lu:
    
        Added option to evaluator.evaluate to use custom evaluator objects.
    
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    186808249  by Zhichao Lu:
    
        Fix documentation re: number of stages.
    
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    186775014  by Zhichao Lu:
    
        Change anchor generator interface to return a list of BoxLists containing anchors for different feature map layers.
    
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    186729028  by Zhichao Lu:
    
        Minor fixes to object detection.
    
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    186723716  by Zhichao Lu:
    
        Fix tf_example_decoder.py initailization issue.
    
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    186668505  by Zhichao Lu:
    
        Remove unused import.
    
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    186475361  by Zhichao Lu:
    
        Update the box predictor interface to return list of predictions - one from each feature map - instead of stacking them into one large tensor.
    
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    186410844  by Zhichao Lu:
    
        Fix PythonPath Dependencies.
    
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    186365384  by Zhichao Lu:
    
        Made some of the functions in exporter public so they can be reused.
    
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    186341438  by Zhichao Lu:
    
        Re-introducing check that label-map-path must be a valid (non-empty) string prior to overwriting pipeline config.
    
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    186036984  by Zhichao Lu:
    
        Adding default hyperparameters and allowing for overriding them via flags.
    
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    186026006  by Zhichao Lu:
    
        Strip `eval_` prefix from name argument give to TPUEstimator.evaluate since it adds the same prefix internally.
    
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    186016042  by Zhichao Lu:
    
        Add an option to evaluate models on training data.
    
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    185944986  by Zhichao Lu:
    
        let _update_label_map_path go through even if the path is empty
    
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    185860781  by Zhichao Lu:
    
        Add random normal initializer option to hyperparams builder.
    
        Scale the regression losses outside of the box encoder by adjusting huber loss delta and regression loss weight.
    
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    185846325  by Zhichao Lu:
    
        Add an option to normalize localization loss by the code size(number of box coordinates) in SSD Meta architecture.
    
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    185761217  by Zhichao Lu:
    
        Change multiscale_grid_anchor_generator to return anchors in normalized coordinates by default and add option to configure it.
    
        In SSD meta architecture, TargetAssigner operates in normalized coordinate space (i.e, groundtruth boxes are in normalized coordinates) hence we need the option to generate anchors in normalized coordinates.
    
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    185747733  by Zhichao Lu:
    
        Change the smooth L1 localization implementationt to use tf.losses.huber_loss and expose the delta parameter in the proto.
    
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    185715309  by Zhichao Lu:
    
        Obviates the need for prepadding on mobilenet v1 and v2 for fully convolutional models.
    
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    185685695  by Zhichao Lu:
    
        Fix manual stepping schedule to return first rate when there are no boundaries
    
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    185621650  by Zhichao Lu:
    
        Added target assigner proto for configuring negative class weights.
    
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    PiperOrigin-RevId: 187187978
    78d5f8f8
eval_util.py 25.1 KB