Matias Mattamala mmattamala

Our long term goal will be to use SSH over USB. This means that we have to configure Raspbian to treat the USB port like an ethernet port. Mount the micro SD card in a computer (not Pi Zero) and open it with Finder, or Windows Explorer, or whatever it is that you use.

The first thing that you want to do is open a file at the root of the mounted drive called config.txt. In this file you want to add the following line at the very bottom:

dtoverlay=dwc2

The above line will set us up for the next file that we alter. The next file we alter is cmdline.txt, but it is a bit different. Parameters in this file are not delimited by new lines or commas, they are delimited by space characters. In this file we want to add the following:

Autodesk Fusion 360 on Linux

In the Web Browser

Ubuntu, Fedora, openSUSE, CentOS, SUSE Linux Enterprise, Debian,... users can finally use Autodesk Fusion 360 in the Linux Browser now.

https://myhub.autodesk360.com

On Chromium 55.0.2843.0 I get NET::ERR_CERTIFICATE_TRANSPARENCY_REQUIRED.

	# Use systemd for managing NVIDIA driver suspend in drivers ====>>> PRIOR to version 470 <<<=====
	# https://download.nvidia.com/XFree86/Linux-x86_64/450.66/README/powermanagement.html
	# https://forums.developer.nvidia.com/t/unable-to-set-nvidia-kernel-module-parameters/161306
	# Please note: In Fedora Linux you may need to just install the xorg-x11-drv-nvidia-power pakage
	# as sugested by @goombah88 in the comments below.

	TMP_PATH=/var/tmp
	TMPL_PATH=/usr/share/doc/nvidia-driver-460/

	echo "options nvidia NVreg_PreserveVideoMemoryAllocations=1 NVreg_TemporaryFilePath=${TMP_PATH}" \| sudo tee /etc/modprobe.d/nvidia-power-management.conf

	/**
	* @brief Mapping functions from Eigen data types to OpenCV
	* @author Eugene Khvedchenya <ekhvedchenya@gmail.com>
	* @details This header file contains code snippet for easy mapping Eigen types to OpenCV and back with minimal overhead.
	* @more computer-vision.talks.com/articles/mapping-eigen-to-opencv/
	* Features:
	* - Mapping plain data types with no overhead (read/write access)
	* - Mapping expressions via evaluation (read only acess)
	*
	* Known issues:

	Pretty print tables summarizing properties of tensor arrays in numpy, pytorch, jax, etc.

	Now on pip! `pip install arrgh` https://github.com/nmwsharp/arrgh