![]() ![]() Once this is done, you can clean up some install crud with sudo apt-get autoremove, delete the tar.gz download and then finally reboot with sudo reboot now which will return you to a windowed interface Setup Tensorflow mkdir tensorflow1 & cd tesorflow1 Sudo python3 setup.py install -cpp_implementationĮxport PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cppĮxport PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION_VERSION=3 Python3 setup.py test -cpp_implementation Python3 setup.py build -cpp_implementation You can then install simply with sudo make install Base username “pi” and password “raspberry” make & make check ![]() You can then run the long-running command. Close x process with control + c if needed. Use ctrl + alt + F1, to move to terminal only and release all UI RAM. Then cd in and then run the following command which might cause the computer to become unusable for the next 2+ hours. Install Protobuff sudo apt-get install autoconf automake libtool curl Sudo apt-get install libxvidcore-dev libx264-dev ![]() Sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev OpenCV sudo apt-get install libtiff5-dev libjasper-dev libpng12-dev Pip3 install lxml # this one takes a long time Pip3 install pillow jupyter matplotlib cython Sudo apt-get install libjpeg-dev zlib1g-dev libxml2-dev libxslt1-dev Sudo apt-get install libjasper-dev libqtgui4 python3-pyqt5 Now get Tensorflow Installed sudo apt-get update Then disable screen saver in the “Display Mode” tab. Best to disable screensaver mode, as some follow-up commands may take hours sudo apt-get install xscreensaver Install pi, then camera, then edit the /boot/config.txtĪdd disable_camera_led=1 to the bottom of the file and rebooting. Here are all the steps I did, including setting up the Pi camera for object detection. This is pretty much the fate of anything compiled on the Raspberry Pi. Expect this to take a very… very… long time. The RPi has an ARM processor, and that means we’ll need to recompile our framework, i.e. Though it sounds like I can basically use laptop machine learning on the device, there’s one big gotcha. It allows you to run high-level applications and code on devices like IoT made easy. Let’s evaluate all three with simple object detection on a camera! Vanilla Raspberry Pi 3 B+Ī Raspberry Pi is like a small, wimpy, Linux machine for $40. Xnor’s binary logic shrinks 32-bit floats to 1-bit operations, allowing you to optimize deep learning models for simple devices.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |