GitLab

PiperOrigin-RevId: 344310944

Fix the score_converter issue, which should apply on the dimension of num_class_slots per anchor separately, not on all anchors per location together (e.g. think of softmax).

PiperOrigin-RevId: 344143469

PiperOrigin-RevId: 343920343

PiperOrigin-RevId: 343491021

PiperOrigin-RevId: 343342628

Modify adjust_gamma method to only adjust rgb channels (or a single grayscale channel), and to call tf.image.adjust_gamma on an image with values between 0 and 1.

PiperOrigin-RevId: 342911345

PiperOrigin-RevId: 342373365

PiperOrigin-RevId: 341573525

PiperOrigin-RevId: 341188685

Make label_id_offset an argument so it can be turned off when eval_util.result_dict_for_batched_example is applied on the outputs of an exported SavedModel. Exported saved models already apply label offset.

PiperOrigin-RevId: 341176846

Run inference under distribution strategy, gather outputs locally and evaluate the results with coco tools on cpu.

PiperOrigin-RevId: 341162083

* Rename sequence_projection to seq_flow_lite

* Rename sequence_projection to seq_flow_lite

PiperOrigin-RevId: 340366780

Fixes two bugs when handling verified_neg_classes and not_exhaustive_classes fields for LVIS evaluation:
(1) Before, if one of these fields was empty, the input pipeline would default to an all-ones representation; this CL turns out off this behavior for the LVIS-specific classes.
(2) Labels are now 1-indexed coming out of the _prepare_groundtruth_for_eval function in model_lib (as they should be).

PiperOrigin-RevId: 340357845

Plumb LVIS specific fields (e.g. `neg_category_ids`, `not_exhaustive_category_ids`) through input pipelines.

PiperOrigin-RevId: 339614575

PiperOrigin-RevId: 339190667

PiperOrigin-RevId: 339071313

Fix a bug of slicing boxes in _postprocess_keypoints_for_class_and_image and switch to use python assert in _get_shape.

PiperOrigin-RevId: 338693370

PiperOrigin-RevId: 338526646

PiperOrigin-RevId: 338383183

PiperOrigin-RevId: 338221628

Added few keypoint postprocessing functions to handle the one-class bounding box/keypoint use case such that the model can be converted to tf.lite format and run on CPU/GPU.

PiperOrigin-RevId: 338078454

causes different behaviors with NaNs in reduce_min/argmin functions. Replaced
the NaN values by Infs in one of the tensor to fix it.

PiperOrigin-RevId: 338069303

PiperOrigin-RevId: 338066485

Old link (http://host.robots.ox.ac.uk/pascal/VOC/voc2012/) is not available. So need to update the location of the dataset. (#9395)

PiperOrigin-RevId: 337134017

PiperOrigin-RevId: 336321500

When InputReader.sample_from_datasets_weights is set, we apply these to sample individual input files.

PiperOrigin-RevId: 336128228

PiperOrigin-RevId: 336097508

PiperOrigin-RevId: 336090589

* Merged commit includes the following changes:
326369548  by Andre Araujo:

    Fix import issues.

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326159826  by Andre Araujo:

    Changed the implementation of the cosine weights from Keras layer to tf.Variable to manually control for L2 normalization.

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326139082  by Andre Araujo:

    Support local feature matching using ratio test.

    To allow for easily choosing which matching type to use, we rename a flag/argument and modify all related files to avoid breakages.

    Also include a small change when computing nearest neighbors for geometric matching, to parallelize computation, which saves a little bit of time during execution (argument "n_jobs=-1").

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326119848  by Andre Araujo:

    Option to measure DELG latency taking binarization into account.

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324316608  by Andre Araujo:

    DELG global features training.

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323693131  by Andre Araujo:

    PY3 conversion for delf public lib.

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3210...

PiperOrigin-RevId: 335521712

PiperOrigin-RevId: 335067840

Changes output_tfrecord_path_prefix to output_tfrecord_path.

PiperOrigin-RevId: 334817429

PiperOrigin-RevId: 333840074

(object detection/keypoint prediction tasks) tf.lite compatible.

PiperOrigin-RevId: 333766281

PiperOrigin-RevId: 333576935

ComputeMetrics - for ease of code reading.

PiperOrigin-RevId: 333575115