Closed drwaltman closed 6 years ago
Thanks for the change. There are other places where this is used though, so could you make the changes to those as well (e.g. models/_rcnn.py)?
No problem. If I am not mistaken, I think you had already covered that change in a previous commit (models/_rcnn.py#L93). I cloned the features/preprocessing-objectdetection branch before making these changes.
It seems something's off because the tests are failing.
Merging #191 into features/preprocessing-objectdetection will not change coverage. The diff coverage is
50%
.
@@ Coverage Diff @@
## features/preprocessing-objectdetection #191 +/- ##
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Coverage 75.87% 75.87%
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Files 28 28
Lines 1057 1057
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Hits 802 802
Misses 255 255
Impacted Files | Coverage Δ | |
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keras_rcnn/layers/_object_detection.py | 21.56% <0%> (ø) |
:arrow_up: |
keras_rcnn/preprocessing/_object_detection.py | 86.86% <100%> (ø) |
:arrow_up: |
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@drwaltman Oh sorry, I just realized this was for a branch. Could you make the same changes in a pull request with master as the target? (Also models/_rcnn.py will need to be edited there)
@jhung0 Do you want me to make another pull request to master with the same changes, or is that unnecessary since you have already merged this one to #164?
Please make another one
On Mar 20, 2018 8:29 PM, "drwaltman" notifications@github.com wrote:
@jhung0 https://github.com/jhung0 Do you want me to make another pull request to master with the same changes, or is that unnecessary since you have already merged this one to #164 https://github.com/broadinstitute/keras-rcnn/pull/164?
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Changes made to fix inconsistencies caused by rearranging the expected inputs to call(), as reviewed by @jorgeecardona in #164.
Moved the input definitions outside detections() so that they can be used to define bounding_boxes and scores more explicitly.