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- add position-sensitive RoI pooling - modify BN and scale layers to save memory
This commit is a port from the following [fork](https://github.com/rbgirshick/caffe-fast-rcnn/tree/0dcd397b29507b8314e252e850518c5695efbb83) It adds : - smooth l1 loss layer - roi pooling layer - dropout scaling at test time (needed for MSRA-trained ZF network) LICENSE : Faster R-CNN The MIT License (MIT) Copyright (c) 2015 Microsoft Corporation Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Added tests for ROI Pooling Layer Author: Ronghang Hu
- add position-sensitive RoI pooling - modify BN and scale layers to save memory - add online hard example mining (OHEM) - enrich Matlab interface
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please provide a unit test |
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hahaha just trolling |
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Bounding box detection service relies on the code from the Microsoft fork of Caffe (https://github.com/Microsoft/caffe) which is no longer maintained and the repo where they direct everyone to use doesn't have all the code from their original repo.
This PR pulls down all the changes related to FRCNN (which we use for bounding box detections) into the fork of the Caffe from their V1 main-line.