Skip to content

Instantly share code, notes, and snippets.

View tsycho's full-sized avatar

Asif tsycho

View GitHub Profile
@jspahrsummers
jspahrsummers / GHRunLoopWatchdog.h
Created January 28, 2015 20:50
A class for logging excessive blocking on the main thread
/// Observes a run loop to detect any stalling or blocking that occurs.
///
/// This class is thread-safe.
@interface GHRunLoopWatchdog : NSObject
/// Initializes the receiver to watch the specified run loop, using a default
/// stalling threshold.
- (id)initWithRunLoop:(CFRunLoopRef)runLoop;
/// Initializes the receiver to detect when the specified run loop blocks for
@AlamofireSoftwareFoundation
AlamofireSoftwareFoundation / alamofire-04-27-2015-statement.md
Last active January 10, 2020 06:25
A response to recent concerns about security vulnerabilities in AFNetworking

Last week, a number of publications ran a story about 1,000's of apps allegedly being vulnerable due to an SSL bug in AFNetworking. These articles contain a number of inaccurate and misleading statements on this matter.

We are publishing this response to clarify and correct these statements.

Background Information

For those not familiar with AFNetworking, here are some relevant details about the library for this story:

  • AFNetworking is an open source, third-party library that provides convenience functionality on top of Apple's built-in frameworks.
  • One component of AFNetworking is AFSecurityPolicy, which handles authentication challenges according to a policy configured by the application. This includes the evaluation of X.509 certificates which servers send back when connecting over HTTPS.
import Foundation
public func getASTString() -> String {
// get the file path for the file "test.json" in the playground bundle
// let filePath = NSBundle.mainBundle().pathForResource("FirstTtest", ofType: "ast")
// get the contentData
let contentData = NSFileManager.defaultManager().contentsAtPath("a.txt")
@dannguyen
dannguyen / README.md
Last active September 10, 2024 19:41
Using Python 3.x and Google Cloud Vision API to OCR scanned documents to extract structured data

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs