GitLab

PiperOrigin-RevId: 365913722

PiperOrigin-RevId: 352601466

318106429  by derekjchow:

    Add Dockerfiles for TF-OD API.

    1.15 and 2.2 supported currently.

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318083650  by rathodv:

    Internal Change.

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317893148  by Zhichao Lu:

    Fix mapping from proto fields to parameters of the data augmentation functions for horizontal flip, vertical flip and 90 degree rotations.

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317753117  by Zhichao Lu:

    Adds keras hyperparam option to force use_bias to True, even when using batch norm.

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317613986  by Zhichao Lu:

    Improves Keypoints support for data augmentation by means of 90 degree rotation adding an option to permute keypoints.

    Unify the interfaces among flip and rotation ops for data augmentation by exposing additional properties to the user.

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317136881  by Zhichao Lu:

    Clarifying documentation

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317097141  by Zhichao Lu:

    Adding Context R-CNN Release to TFODAPI ReadMe

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316999744  by Zhichao Lu:

    Add import tensorflow.compat...

310447280  by lzc:

    Internal change

310420845  by Zhichao Lu:

    Open source the internal Context RCNN code.

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310362339  by Zhichao Lu:

    Internal change

310259448  by lzc:

    Update required TF version for OD API.

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310252159  by Zhichao Lu:

    Port patch_ops_test to TF1/TF2 as TPUs.

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310247180  by Zhichao Lu:

    Ignore keypoint heatmap loss in the regions/bounding boxes with target keypoint
    class but no valid keypoint annotations.

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310178294  by Zhichao Lu:

    Opensource MnasFPN
    https://arxiv.org/abs/1912.01106

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310094222  by lzc:

    Internal changes.

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310085250  by lzc:

    Internal Change.

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310016447  by huizhongc:

    Remove unrecognized classes from labeled_classes.

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310009470  by rathodv:

    Mark batcher.py as TF1 only.

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310001984  by rathodv:

    Update core/preprocessor.py to be compatible with TF1/TF2..

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309455035  by Zhichao Lu:

    Makes the freezable_batch_norm_test run w/ v2 behavior.

    The main change is in v2 updates will happen right away when running batchnorm in training mode. So, we need to restore the weights between batchnorm calls to make sure the numerical checks all start from the same place.

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309425881  by Zhichao Lu:

    Make TF1/TF2 optimizer builder tests explicit.

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309408646  by Zhichao Lu:

    Make dataset builder tests TF1 and TF2 compatible.

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309246305  by Zhichao Lu:

    Added the functionality of combining the person keypoints and object detection
    annotations in the binary that converts the COCO raw data to TfRecord.

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309125076  by Zhichao Lu:

    Convert target_assigner_utils to TF1/TF2.

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308966359  by huizhongc:

    Support SSD training with partially labeled groundtruth.

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308937159  by rathodv:

    Update core/target_assigner.py to be compatible with TF1/TF2.

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308774302  by Zhichao Lu:

    Internal

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308732860  by rathodv:

    Make core/prefetcher.py  compatible with TF1 only.

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308726984  by rathodv:

    Update core/multiclass_nms_test.py to be TF1/TF2 compatible.

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308714718  by rathodv:

    Update core/region_similarity_calculator_test.py to be TF1/TF2 compatible.

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308707960  by rathodv:

    Update core/minibatch_sampler_test.py to be TF1/TF2 compatible.

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308700595  by rathodv:

    Update core/losses_test.py to be TF1/TF2 compatible and remove losses_test_v2.py

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308361472  by rathodv:

    Update core/matcher_test.py to be TF1/TF2 compatible.

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308335846  by Zhichao Lu:

    Updated the COCO evaluation logics and populated the groundturth area
    information through. This change matches the groundtruth format expected by the
    COCO keypoint evaluation.

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308256924  by rathodv:

    Update core/keypoints_ops_test.py to be TF1/TF2 compatible.

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308256826  by rathodv:

    Update class_agnostic_nms_test.py to be TF1/TF2 compatible.

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308256112  by rathodv:

    Update box_list_ops_test.py to be TF1/TF2 compatible.

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308159360  by Zhichao Lu:

    Internal change

308145008  by Zhichao Lu:

    Added 'image/class/confidence' field in the TFExample decoder.

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307651875  by rathodv:

    Refactor core/box_list.py to support TF1/TF2.

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307651798  by rathodv:

    Modify box_coder.py base class to work with with TF1/TF2

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307651652  by rathodv:

    Refactor core/balanced_positive_negative_sampler.py to support TF1/TF2.

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307651571  by rathodv:

    Modify BoxCoders tests to use test_case:execute method to allow testing with TF1.X and TF2.X

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307651480  by rathodv:

    Modify Matcher tests to use test_case:execute method to allow testing with TF1.X and TF2.X

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307651409  by rathodv:

    Modify AnchorGenerator tests to use test_case:execute method to allow testing with TF1.X and TF2.X

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307651314  by rathodv:

    Refactor model_builder to support TF1 or TF2 models based on TensorFlow version.

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307092053  by Zhichao Lu:

    Use manager to save checkpoint.

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307071352  by ronnyvotel:

    Fixing keypoint visibilities. Now by default, the visibility is marked True if the keypoint is labeled (regardless of whether it is visible or not).
    Also, if visibilities are not present in the dataset, they will be created based on whether the keypoint coordinates are finite (vis = True) or NaN (vis = False).

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307069557  by Zhichao Lu:

    Internal change to add few fields related to postprocessing parameters in
    center_net.proto and populate those parameters to the keypoint postprocessing
    functions.

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307012091  by Zhichao Lu:

    Make Adam Optimizer's epsilon proto configurable.

    Potential issue: tf.compat.v1's AdamOptimizer has a default epsilon on 1e-08 ([doc-link](https://www.tensorflow.org/api_docs/python/tf/compat/v1/train/AdamOptimizer))  whereas tf.keras's AdamOptimizer has default epsilon 1e-07 ([doc-link](https://www.tensorflow.org/api_docs/python/tf/keras/optimizers/Adam))

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306858598  by Zhichao Lu:

    Internal changes to update the CenterNet model:
    1) Modified eval job loss computation to avoid averaging over batches with zero loss.
    2) Updated CenterNet keypoint heatmap target assigner to apply box size to heatmap Guassian standard deviation.
    3) Updated the CenterNet meta arch keypoint losses computation to apply weights outside of loss function.

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306731223  by jonathanhuang:

    Internal change.

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306549183  by rathodv:

    Internal Update.

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306542930  by rathodv:

    Internal Update

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306322697  by rathodv:

    Internal.

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305345036  by Zhichao Lu:

    Adding COCO Camera Traps Json to tf.Example beam code

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304104869  by lzc:

    Internal changes.

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304068971  by jonathanhuang:

    Internal change.

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304050469  by Zhichao Lu:

    Internal change.

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303880642  by huizhongc:

    Support parsing partially labeled groundtruth.

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303841743  by Zhichao Lu:

    Deprecate nms_on_host in SSDMetaArch.

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303803204  by rathodv:

    Internal change.

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303793895  by jonathanhuang:

    Internal change.

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303467631  by rathodv:

    Py3 update for detection inference test.

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303444542  by rathodv:

    Py3 update to metrics module

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303421960  by rathodv:

    Update json_utils to python3.

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302787583  by ronnyvotel:

    Coco results generator for submission to the coco test server.

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302719091  by Zhichao Lu:

    Internal change to add the ResNet50 image feature extractor for CenterNet model.

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302116230  by Zhichao Lu:

    Added the functions to overlay the heatmaps with images in visualization util
    library.

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301888316  by Zhichao Lu:

    Fix checkpoint_filepath not defined error.

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301840312  by ronnyvotel:

    Adding keypoint_scores to visualizations.

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301683475  by ronnyvotel:

    Introducing the ability to preprocess `keypoint_visibilities`.

    Some data augmentation ops such as random crop can filter instances and keypoints. It's important to also filter keypoint visibilities, so that the groundtruth tensors are always in alignment.

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301532344  by Zhichao Lu:

    Don't use tf.divide since "Quantization not yet supported for op: DIV"

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301480348  by ronnyvotel:

    Introducing keypoint evaluation into model lib v2.
    Also, making some fixes to coco keypoint evaluation.

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301454018  by Zhichao Lu:

    Added the image summary to visualize the train/eval input images and eval's
    prediction/groundtruth side-by-side image.

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301317527  by Zhichao Lu:

    Updated the random_absolute_pad_image function in the preprocessor library to
    support the keypoints argument.

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301300324  by Zhichao Lu:

    Apply name change(experimental_run_v2 -> run) for all callers in Tensorflow.

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301297115  by ronnyvotel:

    Utility function for setting keypoint visibilities based on keypoint coordinates.

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301248885  by Zhichao Lu:

    Allow MultiworkerMirroredStrategy(MWMS) use by adding checkpoint handling with temporary directories in model_lib_v2. Added missing WeakKeyDictionary cfer_fn_cache field in CollectiveAllReduceStrategyExtended.

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301224559  by Zhichao Lu:

    ...1) Fixes model_lib to also use keypoints while preparing model groundtruth.
    ...2) Tests model_lib with newly added keypoint metrics config.

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300836556  by Zhichao Lu:

    Internal changes to add keypoint estimation parameters in CenterNet proto.

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300795208  by Zhichao Lu:

    Updated the eval_util library to populate the keypoint groundtruth to
    eval_dict.

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299474766  by Zhichao Lu:

    ...Modifies eval_util to create Keypoint Evaluator objects when configured in eval config.

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299453920  by Zhichao Lu:

    Add swish activation as a hyperperams option.

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299240093  by ronnyvotel:

    Keypoint postprocessing for CenterNetMetaArch.

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299176395  by Zhichao Lu:

    Internal change.

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299135608  by Zhichao Lu:

    Internal changes to refactor the CenterNet model in preparation for keypoint estimation tasks.

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298915482  by Zhichao Lu:

    Make dataset_builder aware of input_context for distributed training.

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298713595  by Zhichao Lu:

    Handling data with negative size boxes.

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298695964  by Zhichao Lu:

    Expose change_coordinate_frame as a config parameter; fix multiclass_scores optional field.

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298492150  by Zhichao Lu:

    Rename optimizer_builder_test_v2.py -> optimizer_builder_v2_test.py

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298476471  by Zhichao Lu:

    Internal changes to support CenterNet keypoint estimation.

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298365851  by ronnyvotel:

    Fixing a bug where groundtruth_keypoint_weights were being padded with a dynamic dimension.

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297843700  by Zhichao Lu:

    Internal change.

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297706988  by lzc:

    Internal change.

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297705287  by ronnyvotel:

    Creating the "snapping" behavior in CenterNet, where regressed keypoints are refined with updated candidate keypoints from a heatmap.

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297700447  by Zhichao Lu:

    Improve checkpoint checking logic with TF2 loop.

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297686094  by Zhichao Lu:

    Convert "import tensorflow as tf" to "import tensorflow.compat.v1".

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297670468  by lzc:

    Internal change.

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297241327  by Zhichao Lu:

    Convert "import tensorflow as tf" to "import tensorflow.compat.v1".

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297205959  by Zhichao Lu:

    Internal changes to support refactored the centernet object detection target assigner into a separate library.

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297143806  by Zhichao Lu:

    Convert "import tensorflow as tf" to "import tensorflow.compat.v1".

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297129625  by Zhichao Lu:

    Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration

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297117070  by Zhichao Lu:

    Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration

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297030190  by Zhichao Lu:

    Add configuration options for visualizing keypoint edges

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296359649  by Zhichao Lu:

    Support DepthwiseConv2dNative (of separable conv) in weight equalization loss.

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296290582  by Zhichao Lu:

    Internal change.

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296093857  by Zhichao Lu:

    Internal changes to add general target assigner utilities.

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295975116  by Zhichao Lu:

    Fix visualize_boxes_and_labels_on_image_array to show max_boxes_to_draw correctly.

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295819711  by Zhichao Lu:

    Adds a flag to visualize_boxes_and_labels_on_image_array to skip the drawing of axis aligned bounding boxes.

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295811929  by Zhichao Lu:

    Keypoint support in random_square_crop_by_scale.

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295788458  by rathodv:

    Remove unused checkpoint to reduce repo size on github

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295787184  by Zhichao Lu:

    Enable visualization of edges between keypoints

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295763508  by Zhichao Lu:

    [Context RCNN] Add an option to enable / disable cropping feature in the post
    process step in the meta archtecture.

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295605344  by Zhichao Lu:

    internal change.

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294926050  by ronnyvotel:

    Adding per-keypoint groundtruth weights. These weights are intended to be used as multipliers in a keypoint loss function.

    Groundtruth keypoint weights are constructed as follows:
    - Initialize the weight for each keypoint type based on user-specified weights in the input_reader proto
    - Mask out (i.e. make zero) all keypoint weights that are not visible.

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294829061  by lzc:

    Internal change.

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294566503  by Zhichao Lu:

    Changed internal CenterNet Model configuration.

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294346662  by ronnyvotel:

    Using NaN values in keypoint coordinates that are not visible.

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294333339  by Zhichao Lu:

    Change experimetna_distribute_dataset -> experimental_distribute_dataset_from_function

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293928752  by Zhichao Lu:

    Internal change

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293909384  by Zhichao Lu:

    Add capabilities to train 1024x1024 CenterNet models.

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293637554  by ronnyvotel:

    Adding keypoint visibilities to TfExampleDecoder.

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293501558  by lzc:

    Internal change.

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293252851  by Zhichao Lu:

    Change tf.gfile.GFile to tf.io.gfile.GFile.

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292730217  by Zhichao Lu:

    Internal change.

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292456563  by lzc:

    Internal changes.

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292355612  by Zhichao Lu:

    Use tf.gather and tf.scatter_nd instead of matrix ops.

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292245265  by rathodv:

    Internal

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291989323  by richardmunoz:

    Refactor out building a DataDecoder from building a tf.data.Dataset.

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291950147  by Zhichao Lu:

    Flip bounding boxes in arbitrary shaped tensors.

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291401052  by huizhongc:

    Fix multiscale grid anchor generator to allow fully convolutional inference. When exporting model with identity_resizer as image_resizer, there is an incorrect box offset on the detection results. We add the anchor offset to address this problem.

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291298871  by Zhichao Lu:

    Py3 compatibility changes.

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290957957  by Zhichao Lu:

    Hourglass feature extractor for CenterNet.

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290564372  by Zhichao Lu:

    Internal change.

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290155278  by rathodv:

    Remove Dataset Explorer.

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290155153  by Zhichao Lu:

    Internal change

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290122054  by Zhichao Lu:

    Unify the format in the faster_rcnn.proto

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290116084  by Zhichao Lu:

    Deprecate tensorflow.contrib.

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290100672  by Zhichao Lu:

    Update MobilenetV3 SSD candidates

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289926392  by Zhichao Lu:

    Internal change

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289553440  by Zhichao Lu:

    [Object Detection API] Fix the comments about the dimension of the rpn_box_encodings from 4-D to 3-D.

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288994128  by lzc:

    Internal changes.

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288942194  by lzc:

    Internal change.

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288746124  by Zhichao Lu:

    Configurable channel mean/std. dev in CenterNet feature extractors.

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288552509  by rathodv:

    Internal.

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288541285  by rathodv:

    Internal update.

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288396396  by Zhichao Lu:

    Make object detection import contrib explicitly

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288255791  by rathodv:

    Internal

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288078600  by Zhichao Lu:

    Fix model_lib_v2 test

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287952244  by rathodv:

    Internal

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287921774  by Zhichao Lu:

    internal change

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287906173  by Zhichao Lu:

    internal change

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287889407  by jonathanhuang:

    PY3 compatibility

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287889042  by rathodv:

    Internal

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287876178  by Zhichao Lu:

    Internal change.

--
287770490  by Zhichao Lu:

    Add CenterNet proto and builder

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287694213  by Zhichao Lu:

    Support for running multiple steps per tf.function call.

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287377183  by jonathanhuang:

    PY3 compatibility

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287371344  by rathodv:

    Support loading keypoint labels and ids.

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287368213  by rathodv:

    Add protos supporting keypoint evaluation.

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286673200  by rathodv:

    dataset_tools PY3 migration

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286635106  by Zhichao Lu:

    Update code for upcoming tf.contrib removal

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286479439  by Zhichao Lu:

    Internal change

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286311711  by Zhichao Lu:

    Skeleton of context model within TFODAPI

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286005546  by Zhichao Lu:

    Fix Faster-RCNN training when using keep_aspect_ratio_resizer with pad_to_max_dimension

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285906400  by derekjchow:

    Internal change

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285822795  by Zhichao Lu:

    Add CenterNet meta arch target assigners.

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285447238  by Zhichao Lu:

    Internal changes.

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285016927  by Zhichao Lu:

    Make _dummy_computation a tf.function. This fixes breakage caused by
    cl/284256438

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284827274  by Zhichao Lu:

    Convert to python 3.

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284645593  by rathodv:

    Internal change

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284639893  by rathodv:

    Add missing documentation for keypoints in eval_util.py.

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284323712  by Zhichao Lu:

    Internal changes.

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284295290  by Zhichao Lu:

    Updating input config proto and dataset builder to include context fields

    Updating standard_fields and tf_example_decoder to include context features

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284226821  by derekjchow:

    Update exporter.

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284211030  by Zhichao Lu:

    API changes in CenterNet informed by the experiments with hourlgass network.

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284190451  by Zhichao Lu:

    Add support for CenterNet losses in protos and builders.

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284093961  by lzc:

    Internal changes.

--
284028174  by Zhichao Lu:

    Internal change

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284014719  by derekjchow:

    Do not pad top_down feature maps unnecessarily.

--
284005765  by Zhichao Lu:

    Add new pad_to_multiple_resizer

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283858233  by Zhichao Lu:

    Make target assigner work when under tf.function.

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283836611  by Zhichao Lu:

    Make config getters more general.

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283808990  by Zhichao Lu:

    Internal change

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283754588  by Zhichao Lu:

    Internal changes.

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282460301  by Zhichao Lu:

    Add ability to restore v2 style checkpoints.

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281605842  by lzc:

    Add option to disable loss computation in OD API eval job.

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280298212  by Zhichao Lu:

    Add backwards compatible change

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280237857  by Zhichao Lu:

    internal change

--

PiperOrigin-RevId: 310447280

223075771  by lzc:

    Bring in external fixes.

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222919755  by ronnyvotel:

    Bug fix in faster r-cnn model builder. Was previously using `inplace_batchnorm_update` for `reuse_weights`.

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222885680  by Zhichao Lu:

    Use the result_dict_for_batched_example in models_lib
    Also fixes the visualization size on when eval is on GPU

--
222883648  by Zhichao Lu:

    Fix _unmatched_class_label for the _add_background_class == False case in ssd_meta_arch.py.

--
222836663  by Zhichao Lu:

    Adding support for visualizing grayscale images. Without this change, the images are black-red instead of grayscale.

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222501978  by Zhichao Lu:

    Fix a bug that caused convert_to_grayscale flag not to be respected.

--
222432846  by richardmunoz:

    Fix mapping of groundtruth_confidences from shape [num_boxes] to [num_boxes, num_classes] when the input contains the groundtruth_confidences field.

--
221725755  by richardmunoz:

    Internal change.

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221458536  by Zhichao Lu:

    Fix saver defer build bug in object detection train codepath.

--
221391590  by Zhichao Lu:

    Add support for group normalization in the object detection API. Just adding MobileNet-v1 SSD currently. This may serve as a road map for other models that wish to support group normalization as an option.

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221367993  by Zhichao Lu:

    Bug fixes (1) Make RandomPadImage work, (2) Fix keep_checkpoint_every_n_hours.

--
221266403  by rathodv:

    Use detection boxes as proposals to compute correct mask loss in eval jobs.

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220845934  by lzc:

    Internal change.

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220778850  by Zhichao Lu:

    Incorporating existing metrics into Estimator framework.
    Should restore:
    -oid_challenge_detection_metrics
    -pascal_voc_detection_metrics
    -weighted_pascal_voc_detection_metrics
    -pascal_voc_instance_segmentation_metrics
    -weighted_pascal_voc_instance_segmentation_metrics
    -oid_V2_detection_metrics

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220370391  by alirezafathi:

    Adding precision and recall to the metrics.

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220321268  by Zhichao Lu:

    Allow the option of setting max_examples_to_draw to zero.

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220193337  by Zhichao Lu:

    This CL fixes a bug where the Keras convolutional box predictor was applying heads in the non-deterministic dict order. The consequence of this bug was that variables were created in non-deterministic orders. This in turn led different workers in a multi-gpu training setup to have slightly different graphs which had variables assigned to mismatched parameter servers. As a result, roughly half of all workers were unable to initialize and did no work, and training time was slowed down approximately 2x.

--
220136508  by huizhongc:

    Add weight equalization loss to SSD meta arch.

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220125875  by pengchong:

    Rename label_scores to label_weights

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219730108  by Zhichao Lu:

    Add description of detection_keypoints in postprocessed_tensors to docstring.

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219577519  by pengchong:

    Support parsing the class confidences and training using them.

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219547611  by lzc:

    Stop using static shapes in GPU eval jobs.

--
219536476  by Zhichao Lu:

    Migrate TensorFlow Lite out of tensorflow/contrib

    This change moves //tensorflow/contrib/lite to //tensorflow/lite in preparation
    for TensorFlow 2.0's deprecation of contrib/. If you refer to TF Lite build
    targets or headers, you will need to update them manually. If you use TF Lite
    from the TensorFlow python package, "tf.contrib.lite" now points to "tf.lite".
    Please update your imports as soon as possible.

    For more details, see https://groups.google.com/a/tensorflow.org/forum/#!topic/tflite/iIIXOTOFvwQ

    @angersson and @aselle are conducting this migration. Please contact them if
    you have any further questions.

--
219190083  by Zhichao Lu:

    Add a second expected_loss_weights function using an alternative expectation calculation compared to previous. Integrate this op into ssd_meta_arch and losses builder. Affects files that use losses_builder.build to handle the returning of an additional element.

--
218924451  by pengchong:

    Add a new way to assign training targets using groundtruth confidences.

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218760524  by chowdhery:

    Modify export script to add option for regular NMS in TFLite post-processing op.

--

PiperOrigin-RevId: 223075771

196161788  by Zhichao Lu:

    Add eval_on_train_steps parameter.

    Since the number of samples in train dataset is usually different to the number of samples in the eval dataset.

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196151742  by Zhichao Lu:

    Add an optional random sampling process for SSD meta arch and update mean stddev coder to use default std dev when corresponding tensor is not added to boxlist field.

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196148940  by Zhichao Lu:

    Release ssdlite mobilenet v2 coco trained model.

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196058528  by Zhichao Lu:

    Apply FPN feature map generation before we add additional layers on top of resnet feature extractor.

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195818367  by Zhichao Lu:

    Add support for exporting detection keypoints.

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195745420  by Zhichao Lu:

    Introduce include_metrics_per_category option to Object Detection eval_config.

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195734733  by Zhichao Lu:

    Rename SSDLite config to be more explicit.

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195717383  by Zhichao Lu:

    Add quantized training to object_detection.

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195683542  by Zhichao Lu:

    Fix documentation for the interaction of fine_tune_checkpoint_type and load_all_detection_checkpoint_vars interaction.

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195668233  by Zhichao Lu:

    Using batch size from params dictionary if present.

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195570173  by Zhichao Lu:

    A few fixes to get new estimator API eval to match legacy detection eval binary by (1) plumbing `is_crowd` annotations through to COCO evaluator, (2) setting the `sloppy` flag in tf.contrib.data.parallel_interleave based on whether shuffling is enabled, and (3) saving the original image instead of the resized original image, which allows for small/medium/large mAP metrics to be properly computed.

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195316756  by Zhichao Lu:

    Internal change

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PiperOrigin-RevId: 196161788

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

For details see our paper:
"Speed/accuracy trade-offs for modern convolutional object detectors."
Huang J, Rathod V, Sun C, Zhu M, Korattikara A, Fathi A, Fischer I,
Wojna Z, Song Y, Guadarrama S, Murphy K, CVPR 2017
https://arxiv.org/abs/1611.10012