AmadouDiallo4’s gists

AmadouDiallo4 / docker-compose.yml

Created July 22, 2020 20:47 — forked from ttwthomas/docker-compose.yml

	version: '3'
	services:
	master:
	build:
	context: .
	dockerfile: ./master.Dockerfile
	working_dir: /root/playbooks
	volumes:
	- /c/repos/ansible/playbooks:/root/playbooks
	- /c/repos/ansible/config:/etc/ansible

AmadouDiallo4 / pytorch_jetson_install.sh

Created March 4, 2020 11:02 — forked from dusty-nv/pytorch_jetson_install.sh

Install procedure for pyTorch on NVIDIA Jetson TX1/TX2 with JetPack <= 3.2.1. For JetPack 4.2 and Xavier/Nano/TX2, see https://devtalk.nvidia.com/default/topic/1049071/jetson-nano/pytorch-for-jetson-nano/

	#!/bin/bash
	#
	# UPDATE: see here for pre-built PyTorch 1.0/1.1 pip wheels
	# for JetPack 4.2 and Jetson Nano/TX2/Xavier:
	#
	# https://devtalk.nvidia.com/default/topic/1049071/jetson-nano/pytorch-for-jetson-nano/
	#
	# pyTorch install script for NVIDIA Jetson TX1/TX2,
	# from a fresh flashing of JetPack 2.3.1 / JetPack 3.0 / JetPack 3.1
	#

AmadouDiallo4 / Dockerfile

Created March 2, 2020 16:42 — forked from jackersson/Dockerfile

Gstreamer-1.0-Ubuntu-18-Docker-Installation

	FROM ubuntu:18.04

	USER root

	RUN apt-get update && apt-get -y --no-install-recommends install \
	sudo \
	vim \
	wget \
	build-essential \
	pkg-config

AmadouDiallo4 / Dockerfile

Created February 22, 2020 17:57 — forked from davclark/Dockerfile

A simple Dockerfile for openpose

	# The following image was genarated from the deepo project:
	# https://github.com/ufoym/deepo
	# Running from the generator directory:
	# python generate.py --cuda-ver=9.2 --cudnn-ver=7 Dockerfile \
	# caffe jupyter opencv python==3.6

	FROM glassbeadlabs/deepo:caffe-py36-cu92-dnn7

	# Install openpose
	# This snippet was adapted from the following fork

AmadouDiallo4 / txdocker

Created February 13, 2020 17:08 — forked from JasonAtNvidia/txdocker

Short Bash script to enable use of the GPU within a docker container running on an NVIDIA Jetson TX2. Place inside /usr/local/bin/, chmod +x txdocker, ensure it is in your system PATH, and use just as you would the docker command.

	#!/bin/bash
	#Jason T. 2-6-2018

	# Check specifically for the run command
	if [[ $# -ge 2 && $1 == "run" ]]; then
	# Tell docker to share the following folders with the base system
	# This allows the docker containers to find CUDA, cuDNN, TensorRT
	LIB_MAPS="/usr/lib/aarch64-linux-gnu \
	/usr/local/cuda \
	/usr/local/cuda/lib64"

AmadouDiallo4 / tegra-cam.py

Created January 24, 2020 13:20 — forked from jkjung-avt/tegra-cam.py

Capture and display video from either IP CAM, USB webcam, or the Tegra X2/X1 onboard camera.

	# --------------------------------------------------------
	# Camera sample code for Tegra X2/X1
	#
	# This program could capture and display video from
	# IP CAM, USB webcam, or the Tegra onboard camera.
	# Refer to the following blog post for how to set up
	# and run the code:
	# https://jkjung-avt.github.io/tx2-camera-with-python/
	#
	# Written by JK Jung <[email protected]>