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mkdir ~/projects cd ~/projects git clone https://github.com/jetpacapp/DeepBeliefSDK sudo apt-get install -y mercurial hg clone https://bitbucket.org/eigen/eigen ln -s ~/projects/eigen ~/projects/DeepBeliefSDK/eigen cd ~/projects/DeepBeliefSDK/source make clean sudo apt-get install gcc-4.8 g++-4.8 sudo rm -rf /usr/bin/gcc sudo rm -rf /usr/bin/g++ sudo ln -s /usr/bin/gcc-4.8 /usr/bin/gcc sudo ln -s /usr/bin/g++-4.8 /usr/bin/g++ make GEMM=eigen TARGET=pi2 ./jpcnn -i data/dog.jpg -n ../networks/jetpac.ntwk -t -m s -d #Didnt work missing files sudo cp libjpcnn.so /usr/lib/ sudo cp ~/projects/DeepBeliefSDK/source/src/include/libjpcnn.h /usr/include/ ./jpcnn -i data/dog.jpg -n ../networks/jetpac.ntwk -t -m s -d #Works this time
That is exciting progress, Mike! Concerning the choice of image recognition engine, a lot will depend on what things get recognized in (blind) daily living situations using the default databases, because taking millions of photos to train a neural network on seems best left to others. I do not know enough about the status of deep belief versus teradeep in this respect, and it is hard to predict what Google and other big data companies will offer in due course. I do believe in a combination of raw vision via sensory substitution with semantic vision through image recognition and speech.mikey11 wrote:I retried the jetpac/deepbelief install [...], and now it executes as expected.
I do not know your compilation tool chain, but I suppose that your (zipped) sources add up to much less than 3.2 GB? If you have access (e.g. via Windows' Remote Desktop Connection) to some remote PC that in turn does have a fast and cheap (wired) Internet connection, you could upload and unzip the sources and run the compilation to 3.2 GB on that PC and then let it sync the image with Google Drive?mikey11 wrote:Does anyone know another easy way to share large files in a persistent fashion that is free?