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To speed up your Caffe models, install cuDNN then uncomment the USE_CUDNN := 1 flag in Makefile.config when installing Caffe. Acceleration is automatic. The current version is cuDNN v6; older versions are supported in older Caffe. CPU-only Caffe: for cold-brewed CPU-only Caffe uncomment the CPU_ONLY := 1 flag in Mak… See more
Install pycaffe manually by copying to dist-packages (in Ubuntu 17.04 it's in /usr/local/lib, but make sure you verify the path first) sudo cp -r python/caffe/ /usr/local/lib/python3.5/dist …
Setup Python, Install Python Packages, Build Regular Python Install. Install Python 2.7.14 (x86-64) and Microsoft Visual C++ Compiler for Python 2.7. Assuming you... Clone & …
pip3 install protobuf==3.0.0-alpha-3. or another protobuf such as 3.5 version of protobuf. also do this. pip3 install python-dateutil --upgrade. after that do. make clean. make all -j8 …
python caffe guide. This is a collection of guides regarding running caffe and deep learning models with python to help people who struggle at getting them up and …
Download Caffe. Create a directory where you would like to install caffe. For all future reference, this will be called the <caffe-home>. From inside the <caffe-home> directory, …
The instructions given here are as per the Caffe2 installation site for pre-built binaries. It uses Anaconda for Jupyter environment. Execute the following command on your …
sudo apt-get install python-pydot Now that all the dependencies are installed, we will go ahead and download the Caffe installation files. Go ahead and run: git clone …
After you activate the new environment, we will start installing libraries : conda install opencv conda install caffe. This will install all the required dependencies …
use vim command :?boost_python (there should only be 1 occurrence) changed PYTHON_LIBRARIES ?= boost_python python2.7 to PYTHON_LIBRARIES ?= …
Then we update APT cache and directly install Caffe. Note, the cpu version and the cuda version cannot coexist. $ sudo apt update $ sudo apt install [ caffe-cpu | …
activate the environment, $ workon caffev. If virtualenv is created using conda, then we need to install below package in every virtualenv, $ conda install libgcc. Install OpenCV-3 using …
Copy the caffe package (the caffe directory inside caffe\python) to your site-packages folder inside your python install. Write a caffe.pth file to point your python.exe …
sudo apt-get install python-pydot Now that all the dependencies are installed, we will go ahead and download the Caffe installation files. Go ahead and run: git clone …
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