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74%
master: 86%

Ran 17 Oct 2019 10:50PM CUT

Files 42

Run time 3s

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Committed 12 Oct 2019 12:19AM CUT coverage: 74.032%. First build

Job # TF_VERSION=1.12.0

Build Type

push

travis-ci-com

Committed by

web-flow

Commit Message

Update Scale and Label Detection models to use mobilenetv2 backbone. (#230)

* deprecate VGG pretrained backbone, replacing with pre-trained mobilenetv2 as default.

* update ScaleDetectionModel architecture

* re-run notebook with new architecture / better output

Run Details

4359 of 5888 relevant lines covered (74.03%)

0.74 hits per line

Source Files on job 1422.7 (TF_VERSION=1.12.0)

Coverage	File	Lines	Relevant	Covered	Missed	Hits/Line
10.55	deepcell/training.py	841	237	25	212	1.0
21.88	deepcell/utils/plot_utils.py	353	128	28	100	1.0
33.33	deepcell/utils/export_utils.py	100	33	11	22	1.0
42.62	deepcell/utils/tracking_utils.py	242	122	52	70	1.0
42.78	deepcell/losses.py	441	180	77	103	1.0
45.0	deepcell/callbacks.py	164	60	27	33	1.0
53.89	deepcell/utils/retinanet_anchor_utils.py	975	373	201	172	1.0
57.14	deepcell/applications/cell_tracking.py	69	14	8	6	1.0
65.8	deepcell/utils/data_utils.py	918	348	229	119	1.0
66.67	deepcell/utils/train_utils.py	88	27	18	9	1.0

74.03
deepcell/

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74%
master: 86%

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Source Files on job 1422.7 (TF_VERSION=1.12.0)

vanvalenlab / deepcell-tf / 1422 / 7 74% master: 86%

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RDoc

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Source Files on job 1422.7 (TF_VERSION=1.12.0)

vanvalenlab / deepcell-tf / 1422 / 7
74%
master: 86%

README BADGES
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