838
65%
master: 86%

Ran 04 May 2019 06:36PM UTC

Jobs 5

Files 29

Run time 3min

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Build # 838

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push

travis-ci-com

Committed by

web-flow

Commit Message

Panoptic Feature Pyramid Networks (#160)

* Added additional feature pyramid segmentation functionality & ability to do panoptic segmentation to RetinaNet

* Updated RetinaNetGenerator for panoptic segmentation, integrated custom feature pyramids. 

* Moved retinanet losses to losses.py. Added semantic loss for panoptic segmentation.

* Added 3D featurenet backbones.

* Created a compute_overlap cython function for 3D bounding boxes.

* Added 3D functionality to upsamplelike layer and to feature pyramid construction.

* update pooling layer to pass tests. padding="same" workaround should be resolved

* remove compression_utils from this PR, move into its own PR

Run Details

398 of 398 new or added lines in 9 files covered. (100.0%)

2808 of 4298 relevant lines covered (65.33%)

3.27 hits per line

New Missed Lines in Diff

Lines	Coverage	∆	File
10	11.16	-0.79%	deepcell/training.py
10	53.3	35.11%	deepcell/utils/retinanet_anchor_utils.py
15	78.47	16.1%	deepcell/image_generators.py
19	54.79		deepcell/layers/upsample.py
64	42.78	-15.73%	deepcell/losses.py
180	8.16		deepcell/utils/backbone_utils.py

Uncovered Existing Lines

Lines	Coverage	∆	File
81	21.88	-4.05%	deepcell/utils/plot_utils.py
128	78.47	16.1%	deepcell/image_generators.py
128	11.16	-0.79%	deepcell/training.py
153	53.3	35.11%	deepcell/utils/retinanet_anchor_utils.py

Jobs

ID	Job ID	Ran	Files	Coverage
1	838.1 (TF_VERSION=1.8.0)	04 May 2019 06:36PM UTC	29	65.33	Travis Job 838.1
2	838.2 (TF_VERSION=1.9.0)	04 May 2019 06:36PM UTC	29	65.33	Travis Job 838.2
3	838.3 (TF_VERSION=1.10.0)	04 May 2019 06:37PM UTC	29	65.33	Travis Job 838.3
4	838.4 (TF_VERSION=1.11.0)	04 May 2019 06:38PM UTC	29	65.29	Travis Job 838.4
5	838.5 (TF_VERSION=1.12.0)	04 May 2019 06:39PM UTC	29	65.29	Travis Job 838.5

vanvalenlab / deepcell-tf / 838
65%
master: 86%

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vanvalenlab / deepcell-tf / 838 65% master: 86%

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vanvalenlab / deepcell-tf / 838
65%
master: 86%

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