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  1. 14 Dec, 2020 6 commits
    • A. Unique TensorFlower's avatar
      Merge pull request #9536 from PurdueCAM2Project:yolo · a167bf93
      A. Unique TensorFlower authored 
      PiperOrigin-RevId: 347467379
      a167bf93
    • Dan Anghel's avatar
      Autoencoder in the DELG model (#9555) · 4b8f7d47
      Dan Anghel authored 
      

* 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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321046157  by Andre Araujo:

    Purely Google refactor

--

PiperOrigin-RevId: 326369548

* Added export of delg_model module.

* README update to explain training DELG global features head

* Added guidelines for DELF hyperparameter values

* Fixed typo

* Added mention about remaining training flags.

* Merged commit includes the following changes:
334723489  by Andre Araujo:

    Backpropagate global and attention layers together.

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334228310  by Andre Araujo:

    Enable scaling of local feature locations to the resized resolution.

--

PiperOrigin-RevId: 334723489

* Merged commit includes the following changes:
347032253  by Andre Araujo:

    Updated local and global_and_local model export scripts for exporting models trained with the autoencoder layer.

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344312455  by Andre Araujo:

    Implement autoencoder in training pipeline.

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341116593  by Andre Araujo:

    Reduce the default save_interval, to get more frequent checkpoints.

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341111808  by Andre Araujo:

    Allow checkpoint restoration in DELF training, to enable resuming of training jobs.

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340138315  by Andre Araujo:

    DELF training script: make it always save the last checkpoint.

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338731551  by Andre Araujo:

    Add image_size flag in DELF/G OSS training script.

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338684879  by Andre Araujo:

    Clean up summaries in DELF/G training script.

    - Previously, the call to tf.summary.record_if() was not working, which led to summaries being recorded at every step, leading to too large events files. This is fixed.
    - Previously, some summaries were computed at iteration k, while others at iteration k+1. Now, we standardize summary computations to always run after backpropagation (which means that summaries are reported for step k+1, referring to the batch k).
    - Added a new summary: number of global steps per second; useful to see how fast training is making progress.

    Also a few other small modifications are included:
    - Improved description of the train.py script.
    - Some small automatic reformattings.

--

PiperOrigin-RevId: 347032253
Co-authored-by: default avatarAndre Araujo <andrearaujo@google.com>
      4b8f7d47
    • Chen Chen's avatar
      Add documentation to explain the input_path in QADataConfig. · a58cd931
      Chen Chen authored 
      PiperOrigin-RevId: 347443298
      a58cd931
    • Abdullah Rashwan's avatar
      Internal change · 6446619f
      Abdullah Rashwan authored 
      PiperOrigin-RevId: 347439073
      6446619f
    • Frederick Liu's avatar
      Internal change · eaf8c8c3
      Frederick Liu authored 
      PiperOrigin-RevId: 347389234
      eaf8c8c3
    • Chen Chen's avatar
      Remove the support of old tfhub model that has list as inputs/outputs to reduce code complexity. · a9edf472
      Chen Chen authored 
      The new tfhub with dict as inputs/outputs have been released for a while, and users are expected to use new tfhub models.

PiperOrigin-RevId: 347314892
      a9edf472
  3. 12 Dec, 2020 1 commit
  5. 11 Dec, 2020 5 commits
  7. 10 Dec, 2020 2 commits
  9. 09 Dec, 2020 4 commits
  11. 08 Dec, 2020 4 commits
  13. 07 Dec, 2020 2 commits
  15. 06 Dec, 2020 1 commit
  17. 05 Dec, 2020 2 commits
    • Yeqing Li's avatar
      Internal change · 09157a72
      Yeqing Li authored 
      PiperOrigin-RevId: 345796945
      09157a72
    • Sara Beery's avatar
      Context R-CNN Updates: Added capabilities to use multi-headed or multi-layered... · 30b1c958
      Sara Beery authored 
      Context R-CNN Updates: Added capabilities to use multi-headed or multi-layered attention, to place the attention heads pre- or post-second stage feature extraction, and to work with embedded features in the context feature back from pre- or post-second stage feature extraction. Added an option for RPN feature map crops to be piped through to model outputs.

PiperOrigin-RevId: 345777219
      30b1c958
  19. 04 Dec, 2020 10 commits
  21. 03 Dec, 2020 3 commits