GitLab

PiperOrigin-RevId: 379898918

PiperOrigin-RevId: 379828181

PiperOrigin-RevId: 379817535

1) Added the score-to-scaled-distance ranking method.
2) Added the gaussian-weighted ranking method.
3) Added the hyperparameter used in the rescoring function.

PiperOrigin-RevId: 379646603

1. Make api_template always use third_party/py/keras (or keras PIP package in OSS).
2. API tests are updated to ignore tensorflow/python/keras end points.
3. All Keras-related code will be removed in a follow up change. Keras-specific APIs are tracked in google3/third_party/py/keras/api/golden/
4. There are a few APIs (optimizer/initializer) that are exposed as both tf and keras APIs. Their pbtxt are updated to reflect the latest class path change.

Once this change is submitted, the current code in tensorflow/python/keras will become a stale copy, and will be removed soon. No more changes should be made to tensorflow/python/keras.

PiperOrigin-RevId: 379353790

PiperOrigin-RevId: 378977617

Add notebook and update ODT TFLite conversion doc to show how to make the model compatible with TFLite Task Library.

PiperOrigin-RevId: 378313314

region for the keypoint heatmap if the instance's keypoint visibility is 0.

PiperOrigin-RevId: 378183175

PiperOrigin-RevId: 378154667

PiperOrigin-RevId: 377511299

Adding head customization parameters to `ObjectDetection` and `MaskEstimation` CenterNet proto messages.

PiperOrigin-RevId: 377280733

PiperOrigin-RevId: 377208217

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PiperOrigin-RevId: 377104676

PiperOrigin-RevId: 377103499

PiperOrigin-RevId: 377096964

PiperOrigin-RevId: 374891049

PiperOrigin-RevId: 374301186

PiperOrigin-RevId: 373140072

PiperOrigin-RevId: 373010443

PiperOrigin-RevId: 372953929

PiperOrigin-RevId: 372579796

PiperOrigin-RevId: 372426423

interpolation method is configurable.

PiperOrigin-RevId: 372198977

PiperOrigin-RevId: 371929331

for the object center head parameters in CenterNet.

PiperOrigin-RevId: 371783912

PiperOrigin-RevId: 371037598

Fix explicit padding when pool residuals are used. Match the pool residual convolution to the depthwise convolution to ensure the output tensors of both are of the same size.

PiperOrigin-RevId: 370971019

PiperOrigin-RevId: 370903487

PiperOrigin-RevId: 370720011

PiperOrigin-RevId: 370575507

CenterNetMetaArch. It is to make sure the model can be post-quantizable and
doesn't generate calibration errors during quantization.

PiperOrigin-RevId: 370528566

PiperOrigin-RevId: 370255238

logic doesn't depend on the per_keypoint_offset value and use
get_batch_predictions_from_indices to be consistent with other prediction
heads.

PiperOrigin-RevId: 369925004

PiperOrigin-RevId: 369749466

* OD tutorial colab working

* fixing install instructions link

Surgical update to CenterNet keypoint postprocessing to use bounding boxes if present. This is shown to reduce keypoint snapping across individuals.

PiperOrigin-RevId: 369432018

Call set_keypoint_visibilities on the non-expanded versions of the detection and groundtruth keypoints. set_keypoint_visibilities expects a rank-3 tensor, and was being provided a rank-4 tensor. This had the unintended effect of creating a keypoint visibilities tensor of the wrong shape, resulting in only 2 keypoints being visualized.

PiperOrigin-RevId: 368458273