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jetpacapp / DeepBeliefSDK

The SDK for Jetpac's iOS Deep Belief image recognition framework
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libjpcnn Jetson #16

Open peepo opened 9 years ago

peepo commented 9 years ago

please let me know whether you will be able to support Jetson, and any information armv7 192 cores CUDA 6.0 etc....

cd ../LinuxLibrary/ $ sudo ./install.sh libjpcnn installed $ cd ../examples/SimpleLinux/ $ make gcc -o deepbelief ./main.c -L/usr/lib -ljpcnn /usr/lib/libjpcnn.so: file not recognized: File format not recognized collect2: error: ld returned 1 exit status make: *\ [deepbelief] Error 1

$ cd RaspberryPiLibrary/ $ sudo ./install.sh libjpcnn installed $ cd ../examples/SimpleLinux/ gcc -o deepbelief ./main.c -L/usr/lib -ljpcnn $ ./deepbelief Can't open device file: /var/lib/jpcnn/char_dev

petewarden commented 9 years ago

The project doesn't have a CUDA path, so it won't take advantage of the Jetson hardware. Caffe might be a good alternative, if it's able to run on the system.

The Raspberry Pi example needs an 'sudo' at the start of the command, to get access to the raw GPU interface.

CFAndy commented 9 years ago

The Jetson port shouldn't be too complex. The core acceleration is wrapped by BLAS interface. But will CUDA run-time be as popular as GLES2.0/3.0 on Android device? -Andy