- 01 Feb, 2018 1 commit
-
-
Zhichao Lu authored
184048729 by Zhichao Lu: Modify target_assigner so that it creates regression targets taking keypoints into account. -- 184027183 by Zhichao Lu: Resnet V1 FPN based feature extractors for SSD meta architecture in Object Detection V2 API. -- 184004730 by Zhichao Lu: Expose a lever to override the configured mask_type. -- 183933113 by Zhichao Lu: Weight shared convolutional box predictor as described in https://arxiv.org/abs/1708.02002 -- 183929669 by Zhichao Lu: Expanding box list operations for future data augmentations. -- 183916792 by Zhichao Lu: Fix unrecognized assertion function in tests. -- 183906851 by Zhichao Lu: - Change ssd meta architecture to use regression weights to compute loss normalizer. -- 183871003 by Zhichao Lu: Fix config_util_test wrong dependency. -- 183782120 by Zhichao Lu: Add __init__ file to third_party directories. -- 183779109 by Zhichao Lu: Setup regular version s...
-
- 28 Oct, 2017 1 commit
-
-
Vivek Rathod authored
-
- 21 Sep, 2017 1 commit
-
-
Neal Wu authored
-
- 18 Jul, 2017 3 commits
-
-
Derek Chow authored
* Creates a new batch_decode method in SSD Meta architecture that can handle dynamic batch size. * use combined_shapes in _get_feature_maps_spatial_dims method to handle dynamic batch image_size. * Add dynamic batch size tests to check preprocess, predict and postprocess methods in SSD Meta architecture.
-
Derek Chow authored
* Adds a util function to compute a mix of dynamic and static shapes preferring static when available. * Uses batch_multiclass_non_max_suppression function in postprocess_rpn instead of looping over static batch shape and performing multiclass_non_max_suppression. * Adds a new helper function _unpad_proposals_and_sample_boxclassifier_batch to sample from a batch of tensors possibly containing paddings. * Tests batch inference with various configurations of static shape via unittests.
-
Derek Chow authored
-
- 15 Jun, 2017 1 commit
-
-
derekjchow authored
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
-