jaybo

                var im = new byte[100]; 
                var ms = new MemoryStream(im);
                var rs = RandomAccessStreamReference.CreateFromStream(ms.AsRandomAccessStream());
                
                // http://msdn.microsoft.com/en-us/library/windowsphone/develop/windows.ui.xaml.controls.maps.custommaptiledatasource.aspx
                

jaybo

var viewer = new Cesium.Viewer('cesiumContainer', {
    imageryProvider : new Cesium.ArcGisMapServerImageryProvider({
        url : '//server.arcgisonline.com/ArcGIS/rest/services/World_Street_Map/MapServer'
    }),
    baseLayerPicker : false
});

var layers = viewer.scene.imageryLayers;
var provider = new Cesium.TileMapServiceImageryProvider({
    url : '//localhost/NOAA/',

jaybo

find . -maxdepth 1 -mindepth 1 -type d | while read dir; do
  printf "%-25.25s : " "$dir"
  find "$dir" -type f | wc -l
done

jaybo

	_initPathRoot: function () {
		if (!this._pathRoot) {
			this._pathRoot = L.Path.prototype._createElement('svg');
			this._panes.overlayPane.appendChild(this._pathRoot);

			if (this.options.zoomAnimation && L.Browser.any3d) {
				L.DomUtil.addClass(this._pathRoot, 'leaflet-zoom-animated');

				this.on({
					'zoomanim': this._animatePathZoom,

jaybo

@echo off
SET st2Path=C:\Program Files\Sublime Text 2\sublime_text.exe

rem add it for all file types
REM @reg add "HKEY_CLASSES_ROOT\*\shell\Open with Sublime Text 2"         /t REG_SZ /v "" /d "Open with Sublime Text 2"   /f
REM @reg add "HKEY_CLASSES_ROOT\*\shell\Open with Sublime Text 2"         /t REG_EXPAND_SZ /v "Icon" /d "%st2Path%,0" /f
REM @reg add "HKEY_CLASSES_ROOT\*\shell\Open with Sublime Text 2\command" /t REG_SZ /v "" /d "%st2Path% \"%%1\"" /f

rem add it for folders
@reg add "HKEY_CLASSES_ROOT\Directory\shell\Open with Sublime Text 2"         /t REG_SZ /v "" /d "Open with Sublime Text 2"   /f

jaybo

opencv_calib3d300d.lib; opencv_core300d.lib ;opencv_features2d300d.lib; opencv_flann300d.lib; opencv_hal300d.lib; opencv_highgui300d.lib; opencv_imgcodecs300d.lib; opencv_imgproc300d.lib; opencv_ml300d.lib; opencv_objdetect300d.lib; opencv_photo300d.lib; opencv_shape300d.lib; opencv_stitching300d.lib; opencv_superres300d.lib; opencv_ts300d.lib; opencv_video300d.lib; opencv_videoio300d.lib; opencv_videostab300d.lib; 

jaybo

import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import interp1d

x = [0, 1, 1, 0, 0]
y = [0, 0, 1, 1, 0]

orig_len = len(x)

t = np.arange(len(x))

jaybo

// Place your settings in this file to overwrite the default settings
{
    "python.pythonPath": "C:/WinPython/WinPython-64bit-2.7.10.3/python-2.7.10.amd64/python.exe",
    "typescript.check.tscVersion": false,
    "workbench.colorTheme": "Visual Studio Dark",
    "editor.minimap.enabled": true,
    "python.linting.pylintArgs": [
        "--disable=C0301", // Line too long
        "--disable=C0103", // Invalid function name"
        "--disable=C0303", // Trailing whitespace

jaybo

let colormap = require('colormap')
var fs = require('fs');

let map_name = 'bluered';
let file_name = map_name + ".json"

let colors = colormap({
    colormap: map_name,
    nshades: 100,
    format: 'hex',

jaybo

Background:
http://cs231n.github.io/convolutional-networks/#convert

Converting classification net to sematic:
https://blog.goodaudience.com/using-convolutional-neural-networks-for-image-segmentation-a-quick-intro-75bd68779225


Environnment:

conda create --name tf pip