caffe-SSD
所属分类：其他
开发工具：Python
文件大小：8615KB
下载次数：2
上传日期：2020-01-13 17:26:37
上 传 者：
pcb9382
说明： 基于caffe框架下的SSD目标检测，具有兼顾速度和精度
(SSD target detection based on caffe framework)
文件列表:
.Doxyfile (101863, 2017-08-06)
.travis.yml (1938, 2017-08-06)
CMakeLists.txt (4197, 2017-08-06)
CONTRIBUTING.md (1917, 2017-08-06)
CONTRIBUTORS.md (620, 2017-08-06)
INSTALL.md (210, 2017-08-06)
LICENSE (2092, 2017-08-06)
Makefile (24041, 2017-08-06)
Makefile.config.example (4631, 2017-08-06)
caffe.cloc (1180, 2017-08-06)
cmake (0, 2017-08-06)
cmake\ConfigGen.cmake (2169, 2017-08-06)
cmake\Cuda.cmake (11469, 2017-08-06)
cmake\Dependencies.cmake (7141, 2017-08-06)
cmake\External (0, 2017-08-06)
cmake\External\gflags.cmake (1939, 2017-08-06)
cmake\External\glog.cmake (1777, 2017-08-06)
cmake\Misc.cmake (1764, 2017-08-06)
cmake\Modules (0, 2017-08-06)
cmake\Modules\FindAtlas.cmake (1724, 2017-08-06)
cmake\Modules\FindGFlags.cmake (1545, 2017-08-06)
cmake\Modules\FindGlog.cmake (1451, 2017-08-06)
cmake\Modules\FindLAPACK.cmake (6723, 2017-08-06)
cmake\Modules\FindLMDB.cmake (1119, 2017-08-06)
cmake\Modules\FindLevelDB.cmake (1728, 2017-08-06)
cmake\Modules\FindMKL.cmake (3360, 2017-08-06)
cmake\Modules\FindMatlabMex.cmake (1749, 2017-08-06)
cmake\Modules\FindNCCL.cmake (654, 2017-08-06)
cmake\Modules\FindNumPy.cmake (2333, 2017-08-06)
cmake\Modules\FindOpenBLAS.cmake (1593, 2017-08-06)
cmake\Modules\FindSnappy.cmake (1071, 2017-08-06)
cmake\Modules\FindvecLib.cmake (1326, 2017-08-06)
cmake\ProtoBuf.cmake (3744, 2017-08-06)
cmake\Summary.cmake (7651, 2017-08-06)
cmake\Targets.cmake (7191, 2017-08-06)
... ...
---
name: BAIR/BVLC Reference RCNN ILSVRC13 Model
caffemodel: bvlc_reference_rcnn_ilsvrc13.caffemodel
caffemodel_url: http://dl.caffe.berkeleyvision.org/bvlc_reference_rcnn_ilsvrc13.caffemodel
license: unrestricted
sha1: bdd8abb885819cba5e2fe1eb36235f2319477e***
caffe_commit: a7e397abbda52c0b90323c23ab95bdeabee90a***
---
The pure Caffe instantiation of the [R-CNN](https://github.com/rbgirshick/rcnn) model for ILSVRC13 detection.
This model was made by transplanting the R-CNN SVM classifiers into a `fc-rcnn` classification layer, provided here as an off-the-shelf Caffe detector.
Try the [detection example](http://nbviewer.ipython.org/github/BVLC/caffe/blob/master/examples/detection.ipynb) to see it in action.
*N.B. For research purposes, make use of the official R-CNN package and not this example.*
This model was trained by Ross Girshick @rbgirshick
## License
This model is released for unrestricted use.
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