I have an old machine that takes measurements of an object and prints the data to a inbuilt thermal printer. I am looking for a solution to extract this data so that it can go directly into a database.
Is there any way to hack into the esc/pos printer hardware and extract this binary data to a pc and then decode it to text?
Thank You
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I am trying to get the raw LiDAR data from Helios2 time of flight camera. How do I remove the built in features which sharpens the LiDAR data output of pointcloud.
I am trying to access code of the SDK where I can make some changes but could not find that in Windows version of the software.
In most github repositories for machine learning based text to speech, the LJ-Speech dataset is being used and optimized for.
Having unsucessfully tried to use my own wave files for it, I am interested in the right approach to prepare your dataset for an optimized framework to likely convert.
With Mozilla TTS, you can have a look at the LJ-Speech script used to prepare the data to have an idea of what is needed for your own dataset:
https://github.com/erogol/TTS_recipes/blob/master/LJSpeech/DoubleDecoderConsistency/train_model.sh
Good morning,
I ran a simulation of a hecacopter with a gazebo. I have an sdf file of my drone with a 3-D lidar.
I send the data of my lidar on the topic /scan, and I want to visualize it on rviz.
I saw that I had to make an urdf file of my drone, but I can't make the conversion. (and the sdf file is quite big)
Is there another way to display the data without having to do the conversion?
Thank you
Translated with www.DeepL.com/Translator (free version)
If you're publishing a (LaserScan/PointCloud) msg on topic /scan, and the header.frame_id is (for example) on frame lidar, then you can just look at the lidar frame in Rviz, and have a laser scan element subscribing to /scan. You don't need to render the whole vehicle if you don't want to.
Personally, I find just rendering a coordinate axis frame to be sufficient sometimes.
I have used Tesseract for extracting text from scanned documents and I am able to fetch text from scanned documents. Now I want to extract text from a handwritten form (Hard copy) and use that text to autofill my online form (soft copy of the same handwritten form).
Anybody knows how to do that?
Thanks in advance for the help.
Tesseract OCR is quite powerful, but does have the following limitations:
Unlike some OCR engines (like those used by the U.S. Postal Service to sort mail), Tesseract is unable to recognize handwriting and is limited to about 64 fonts in total.
Tesseract requires a bit of preprocessing to improve the OCR results; images need to be scaled appropriately, have as much image contrast as possible, and have horizontally-aligned text.
Finally, Tesseract OCR only works on Linux, Windows, and Mac OS X.
Original article :
https://www.raywenderlich.com/93276/implementing-tesseract-ocr-ios
So far that I know about Storm, that it's used to analyze Twitter tweets to get trending topics, but can it be used to analyze data from government's census? And because the data is structured, is storm suitable for that?
Storm is generally used for processing unending streams of data, e.g. logs, the twitter stream, or in my case the output of a web crawler.
I believe census type data would be in the form of a fixed report, which could be treated as a stream, but would probably lend itself better to processing via something like Map Reduce, using Hadoop (possibly with cacading or scalding as layers of abstraction over the details).
The structured nature of the data wouldn't prevent use of any of these technologies, that's more related to the problem you are trying to solve.
Storm is designed for streaming data processing, where the data is coming continuously. Your application has all the data it needs to process available, so a Batch processing is more suited. If the data is structured, you can use R or other tools for analysis, or write scripts to convert the data so that it can go to R as input. If its a humongous dataset, & u want to process it faster, only then think of getting into Hadoop & writing your program as per the analysis you have to do. Suggesting an architecture is only possible if you provide more details regarding data size, & what sort of analysis you are looking forward to do on it. If its a smaller dataset, both hadoop & storm can be an overkill for the problem that has to be solved.
--gtaank