This work is based on @runhang work, which is mainly to solver the problem - "Unknown layer type: Normalize"
I also changed ssd_detect.ipynb
into a python file named "ssd-windows"
to path caffe-ssd-windows/example/ssd
, which we can directly run on Pycharm. Before you run it, remember to change the path of your deploy.prototxt
, xxx.caffemodel
and test image
.
This branch of Caffe ports the framework to Windows.
Update: this branch is not actively maintained. Please checkout this for more active Windows support.
Please take this blog as reference:
Caffe-ssd 在 windows 下的配置,及 python 调用
- Visual Studio 2013 (Only with Python2.7) or 2015 (with Python 2.7 and Python 3.5)
- CMake 3.4 or higher (Visual Studio and Ninja generators are supported)
- Python for the pycaffe interface. Anaconda Python 2.7 or 3.5 x64 (or Miniconda)
- Matlab for the matcaffe interface.
- CUDA 7.5 or 8.0 (use CUDA 8 if using Visual Studio 2015)
- cuDNN v5
We assume that cmake.exe
and python.exe
are on your PATH
.
1. git clone https://github.com/anlongstory/caffe-ssd-windows
2. take this blog as reference:
Windows 下用 build_win.cmd 直接编译CPU版caffe
and start from Step 3 which in blog is 3.修改Caffe配置文件
1. git clone https://github.com/anlongstory/caffe-ssd-windows
2. take this blog as reference:
Windows 下用 build_win.cmd 直接编译GPU版caffe
and start from Step 5 which in blog is 5.修改Caffe配置文件
You can take this blog as reference: Windows下 Pycaffe 的配置与使用