GitLab

DEFAULT_VALUE_OK=setting prefetch batches default to 2 as using -1 can cause memory issues for some models such as context r-cnn that use sequence examples.

PiperOrigin-RevId: 345682268

PiperOrigin-RevId: 345620862

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Updating Context R-CNN dataset tools to fix a bug in context feature bank building logic when the number of context examples in the time horizon is greater than the specified maximum, and adding capabilities to track and save the number of embeddings stored per image.

PiperOrigin-RevId: 345548385

added a new operating mode for single-instance prediction.

1) Refactored the _postprocess_keypoints_for_class_and_image function such that
it can be reused by single/multi class keypoint tasks.
2) Removed the "mod" operator to make the model compatible with WASM.

PiperOrigin-RevId: 345468250

Avoid  explicit tf.unstack in `convert_strided_predictions_to_normalized_boxes`. This enables exporting a saved model with dynamic batch size.

PiperOrigin-RevId: 345055072

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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

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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

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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

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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