cuongtvee

#!/bin/bash --debugger
export MAKEFLAGS="-j 1"
set -e

BRANCH="1.10"
if grep -q BCM270 /proc/cpuinfo; then
    echo "RPI BUILD!"
    RPI="1"
fi

cuongtvee

I've been interested in computer vision for a long time, but I haven't had any free time to make any progress until this holiday season. Over Christmas and the New Years I experimented with various methodologies in OpenCV to detect road signs and other objects of interest to OpenStreetMap. After some failed experiments with thresholding and feature detection, the excellent /r/computervision suggested using the dlib C++ module because it has more consistently-good documentation and the pre-built tools are faster.

After a day or two figuring out how to compile the examples, I finally made some progress:

Compiling dlib C++ on a Mac with Homebrew

1. Clone dlib from Github to your local machine:

cuongtvee

#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

cuongtvee

Install NVDEC and NVENC as GStreamer plugins

Environment

• Ubuntu 18.04
• NVIDIA driver 460.32.03
• NVIDIA Video Codec SDK 11.0.10
• GStreamer 1.14.5

Steps