Kevin Faulkner kondor6c

Blogging with Gist

Gist simplicity can turn blogging into a liberating experience.

Pros	Cons
✅ Free, simple, fast, hassle-free	❌ Image upload in comments only
✅ Tagging	❌ No post pinning
✅ Search	❌ Doesn't look like a blog
✅ Revisions	❌ Unfriendly URLs

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

See my working application (and additional notes) here:

https://github.com/integralist/simple-rpm

Other information that led to the above repository, can be found below

References

a simple git branching model (written in 2013)

This is a very simple git workflow. It (and variants) is in use by many people. I settled on it after using it very effectively at Athena. GitHub does something similar; Zach Holman mentioned it in this talk.

Update: Woah, thanks for all the attention. Didn't expect this simple rant to get popular.

	{
	"key_events": {
	"key_unknown": "adb shell input keyevent 0",
	"key_soft_left": "adb shell input keyevent 1",
	"key_soft_right": "adb shell input keyevent 2",
	"key_home": "adb shell input keyevent 3",
	"key_back": "adb shell input keyevent 4",
	"key_call": "adb shell input keyevent 5",
	"key_endcall": "adb shell input keyevent 6",
	"key_0": "adb shell input keyevent 7",

	package main

	import (
	"context"
	"flag"
	"fmt"
	"log"
	"net/http"
	"os"
	"os/signal"

	Hi All!

	I've recently launched a tool that wraps many of the commands here with a user interface. This desktop application is currently available for macOS. There's a roadmap outlining planned features for the near future.
	Feel free to request any features you'd like to see, and I'll prioritize them accordingly.
	One of the most important aspects of this application is that every command executed behind the scenes is displayed in a special log section. This allows you to see exactly what’s happening and learn from it.

	Here's the link to the repository: https://github.com/Pulimet/ADBugger

	App Description:
	ADBugger is a desktop tool designed for debugging and QA of Android devices and emulators. It simplifies testing, debugging, and performance analysis by offering device management, automated testing, log analysis, and remote control capabilities. This ensures smooth app performance across various setups.