| # PIL RGB 'im' to CV2 BGR 'imcv' | |
| imcv = np.asarray(im)[:,:,::-1].copy() | |
| # Or | |
| imcv = cv2.cvtColor(np.asarray(im), cv2.COLOR_RGB2BGR) | |
| # To gray image | |
| imcv = np.asarray(im.convert('L')) | |
| # Or | |
| imcv = cv2.cvtColor(np.asarray(im), cv2.COLOR_RGB2GRAY) |
| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| """ | |
| Tests the various feature detector algorithms in OpenCV 2.4 on one image | |
| @SINCE: Thu Sep 13 23:01:23 2012 | |
| @VERSION: 0.1 | |
| @REQUIRES: OpenCV 2.4 (I used 2.4.0), matplotlib |
| ''' | |
| Preserve EXIF data after PIL manipulation of an image. | |
| Requires exiftool.exe. Download from http://www.sno.phy.queensu.ca/~phil/exiftool/ | |
| Basically, do not save the manipulated image over the old image. Exiftool can | |
| copy the data from old to new. | |
| ''' | |
| from PIL import Image | |
| import subprocess |
| function crop_ASCAT_location, data, lon_bounds=lon_bounds, lat_bounds=lat_bounds | |
| n = N_ELEMENTS(data.lon) | |
| c = 0 ; count | |
| for i=0l, n-1 do begin | |
| print, data.lon[i] | |
| if data.lon[i] ge lon_bounds[0] and data.lon[i] le lon_bounds[1] $ | |
| and data.lat[i] ge lat_bounds[0] and data.lat[i] le lat_bounds[1] $ |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| </head> | |
| <body> | |
| <canvas id="canvas"></canvas> | |
| <script type="text/javascript" src="https://dl.dropboxusercontent.com/u/49722688/packages/Box2dWeb-2.1.a.3.min.js"></script> | |
| </body> | |
| </html> |
| "use strict"; | |
| // Create a `Player` class that inherits from `createjs.Shape`. | |
| function Grue() { | |
| // This example object will display a circle with a transparency gradient | |
| // The center is transparent and becomes solid blue at edges. | |
| this.graphics.beginStroke("#F0F") // Purple edge. | |
| .beginRadialGradientFill( | |
| ["rgba(0,0,0,0.2)","rgba(0,0,255,1)"], // colors: [center, edge] | |
| [0,1], // gradient: [begin, end] |
| "use strict"; | |
| // Create a class that draws to a canvas. | |
| function BurningPlain(canvas) { | |
| this.w = canvas.width; | |
| this.h = canvas.height; | |
| this.ctx = canvas.getContext("2d"); | |
| // Draw buffer | |
| var buffer = this.buffer = document.createElement('canvas'); |
This is a personalized reference for functions I have used. Any excluded parameters or simplifications are intentional.
##Function Summary
| function | param1 | param2 | response |
|---|---|---|---|
.find |
PK or {} |
NA | [{}] |
.findOrCreate |
PK or {} |
{} |
{} |
.destroy |
PK or {} |
NA | [{}] |
| // Modified version of code at http://knockoutjs.com/documentation/extenders.html | |
| // Allow a single period to pass when using "textInput" data-binding. | |
| ko.extenders.numeric = function(target, precision) { | |
| //create a writable computed observable to intercept writes to our observable | |
| var result = ko.pureComputed({ | |
| read: target, //always return the original observables value | |
| write: function(newValue) { | |
| console.log(typeof newValue, newValue); | |
| var current = target(), |
| /** | |
| * Prints a line of non-ASCII text as a series of images. | |
| * All doc.text methods can be replaced with this method. | |
| * Works like doc.text but requires a fontsize (default is 10). | |
| * | |
| * Add function to jsPDF instance (do not overwrite doc.text): | |
| * var doc = new jsPDF(); | |
| * doc.alttext = nonASCIItext; | |
| * | |
| * @param {Number} x Horizontal placement |