Commit 159ad55d authored by Joel Martin's avatar Joel Martin

Add logo, favicon.

Thanks to Michael Sersen for creating images/Logo.svg.

- Add images directory with original SVG logo, favicon, and some
  derivative PNGs of the logo for different purpose.

- Note that license on images/* is CC BY-SA.

- Add utils/img2js.py to take an image and generate a base64 encoded
  data URI string.

- Add base64 encoded data URI screen logo to display in canvas when
  disconnected.
parent 0f354fb6
...@@ -8,3 +8,7 @@ docs/LICENSE.LGPL-3) with the following exceptions: ...@@ -8,3 +8,7 @@ docs/LICENSE.LGPL-3) with the following exceptions:
include/web-socket-js/ : New BSD license. Source code at include/web-socket-js/ : New BSD license. Source code at
http://github.com/gimite/web-socket-js http://github.com/gimite/web-socket-js
images/ : Creative Commons Attribution-ShareAlike
http://creativecommons.org/licenses/by-sa/3.0/
Uses of the work must be attributed
to the noVNC project.
Short Term: Short Term:
- VNC performance and regression playback suite.
- WebSockets
- expand latency test
- add absolute timers (every 500 packets)
- try 1 ms delay
- stop at 4000 packets
- small and large packets test
- JavaScript
- just base64 decode
- everything except Canvas
- Full test
- Without WebSockets
- With replay from python tester
- add higher-resolution multi test
- websockify test with echo and playback functionality
- choosen by client test page on connect
- Keyboard layout/internationalization support - Keyboard layout/internationalization support
- convert keyCode into proper charCode - convert keyCode into proper charCode
...@@ -24,8 +45,6 @@ Short Term: ...@@ -24,8 +45,6 @@ Short Term:
Medium Term: Medium Term:
- VNC performance and regression playback suite.
- Viewport support - Viewport support
- Touchscreen testing/support. - Touchscreen testing/support.
images/favicon.ico
\ No newline at end of file
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"};
...@@ -8,7 +8,7 @@ ...@@ -8,7 +8,7 @@
"use strict"; "use strict";
/*jslint white: false, browser: true, bitwise: false, plusplus: false */ /*jslint white: false, browser: true, bitwise: false, plusplus: false */
/*global window, WebSocket, Util, Canvas, VNC_native_ws, Base64, DES */ /*global window, Util, Canvas, VNC_native_ws, Base64, DES */
function RFB(conf) { function RFB(conf) {
...@@ -347,6 +347,16 @@ updateState = function(state, statusMsg) { ...@@ -347,6 +347,16 @@ updateState = function(state, statusMsg) {
if (Util.get_logging() !== 'debug') { if (Util.get_logging() !== 'debug') {
canvas.clear(); canvas.clear();
} }
if ((Util.get_logging() !== 'debug') ||
(state === 'loaded')) {
// Show noVNC logo on load and when disconnected if
// debug is off
if (noVNC_logo) {
canvas.resize(noVNC_logo.width, noVNC_logo.height);
canvas.blitStringImage(noVNC_logo.data, 0, 0);
}
}
} }
ws.close(); ws.close();
......
...@@ -32,6 +32,7 @@ function get_INCLUDE_URI() { ...@@ -32,6 +32,7 @@ function get_INCLUDE_URI() {
extra += start + "util.js" + end; extra += start + "util.js" + end;
extra += start + "webutil.js" + end; extra += start + "webutil.js" + end;
extra += start + "logo.js" + end;
extra += start + "base64.js" + end; extra += start + "base64.js" + end;
extra += start + "websock.js" + end; extra += start + "websock.js" + end;
extra += start + "des.js" + end; extra += start + "des.js" + end;
......
#!/usr/bin/python
#
# Convert image to Javascript compatible base64 Data URI
# Copyright 2011 Joel Martin
# Licensed under LGPL version 3 (see docs/LICENSE.LGPL-3)
#
import sys, base64
try:
from PIL import Image
except:
print "python PIL module required (python-imaging package)"
sys.exit(1)
if len(sys.argv) < 3:
print "Usage: %s IMAGE JS_VARIABLE" % sys.argv[0]
sys.exit(1)
fname = sys.argv[1]
var = sys.argv[2]
ext = fname.lower().split('.')[-1]
if ext == "png": mime = "image/png"
elif ext in ["jpg", "jpeg"]: mime = "image/jpeg"
elif ext == "gif": mime = "image/gif"
else:
print "Only PNG, JPEG and GIF images are supported"
sys.exit(1)
uri = "data:%s;base64," % mime
im = Image.open(fname)
w, h = im.size
raw = open(fname).read()
print '%s = {"width": %s, "height": %s, "data": "%s%s"};' % (
var, w, h, uri, base64.b64encode(raw))
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