lc muka

TensorFlow Object Detection Model Training

This is a summary of this nice tutorial.

edit Makefile set OPENCV=1 and GPU=1
namespace error opencv/opencv#10963 (comment)
CVAPI(cv::Rect)cvGetWindowImageRect(const char* name); https://stackoverflow.com/questions/48611228/yolo-compilation-with-opencv-1-fails

apm install termrk

To use ctrl+` to toggle

keymap.cson

'atom-workspace':
  'ctrl-\`': 'termrk:toggle'

	. /data/opt/intel/computer_vision_sdk_2018.2.300/bin/setupvars.sh
	. openvino/env.sh

	CGO_LDFLAGS="$CGO_LDFLAGS -lopencv_calib3d"

	LD_LIBRARY_PATH=/home/l/git/github.com/openvino-docker/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH
	LD_LIBRARY_PATH=/data/opt/intel/computer_vision_sdk_2018.2.300/deployment_tools/inference_engine/lib/ubuntu_16.04/intel64:$LD_LIBRARY_PATH

	export CGO_LDFLAGS
	export LD_LIBRARY_PATH


	var mqtt = require('mqtt');
	var client1 = mqtt.connect('mqtt://172.20.0.2');
	var client2 = mqtt.connect('mqtt://172.20.0.3');

	client1.on('connect', function () {
	client1.subscribe("foo")
	});
	client1.on('message', function (topic, message) {
	console.log("got msg", topic, message.toString());

	NET_NAME="project_default"
	NAME="nats"
	IP=docker network inspect $NET_NAME \| grep $NAME -A 3 \| grep "IP" \| grep -Po "([0-9]+.[0-9]+.[0-9]+.[0-9])"
	echo $IP


	const baseUrl = "https://aal-programme-info-day-2020.b2match.io/participants"
	const data = require("./data.json")

	const participantRow = (participant) => {
	let {
	id,
	user,
	organisation_name,
	organisation_type,

	while [ 1 ]; do
	{ echo -ne "HTTP/1.0 200 OK\r\nContent-Length: $(wc -c <index.html)\r\n\r\n"; cat index.html; } \| nc -l 8080
	done