Download Base64 For Windows ^HOT^
Perla Hockins
This script can decode/encode base64 strings on every machine from XP and above without requiring installed .net or internet explorer 10/11.It even can handle special javascript escaped symbols:
This worked for me, this doesn't generate extra lines by certutil,it converts the content of the file data.txt to base64 and saves it to new file data.b64 .
As an example, consider the base64 string YWJjCnh5eg== which is the representation of the 7 bytes 61 62 63 0a 78 79 7a, the strings "abc" and "xyz" separated by a single Unix newline character (LF, 0x0a).
To install, just copy the file base64.exe to a folder on your Windows PATH, for example C:\Windows.You may need administrator permissions to do this.We recommend you set up a C:\Bin directory for files like this.
If you're using the Amazon EC2 API or a tool that does not perform base64 encoding ofthe user data, you must encode the user data yourself. If not, an error is loggedabout being unable to find script or powershell tags torun. The following is an example that encodes using Windows PowerShell.
In the following screenshot of the User data field, the example scriptcreates a file in the Windows temporary folder, using the current date and time inthe file name. When you include true,the script is run every time you reboot or start the instance. If you leave theUser data has already been base64 encoded check box empty,the Amazon EC2 console performs the base64 encoding for you.
To specify instance user data when you launch your instance, use the New-EC2Instance command. Thiscommand does not perform base64 encoding of the user data for you. Use the followingcommands to encode the user data in a text file namedscript.txt.
License Plate Recognition API - Platebber (also known as LPTR API or ALPTR API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string), also some settings as optional language code (among 60 supported languages), optional crop photo(s) of registration plates (Yes/No) and returns a JSON string which contains plate(s) text, confidence score, timestamp, vertices for bounding boxes of license plates, base64 encoded string(s) of crop photo(s) (if set to Yes as input). Of course, there are some limitations in order to get a higher accuracy. We recommend properly exposed, unobstructed JPEG photos at 1920x1080 (full HD resolution) where ratio between height of the license plate and height of entire picture should be at least 1:15. For ratios like 1:16, 1:17, 1:18 and so on the accuracy is lower and the AI algorithm may not see and read the license plate and the number on the registration plate. We do not store pictures. Also, the quality and the angles of the LPR camera are very important and it contribute to a higher reading accuracy. It should have varifocal lenses, high shutter speed, good infrared lighting beam, full HD resolution.
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