I'm working on a project to help my visually impaired friend, a python script will first take a screenshot every second and whatever is on the image will be converted to text, and the character which is nearest to the coordinate of curser, will be the output.
User can move the curser anywhere on screen and nearest alphabet to curser will be the output of program.
Don't worry about the form of output, it will be in form audio. But for the sake of simplicity of question lets assume it's in the form of a single character text.
Every tutorial I could find explained how to use OCR dependencies just to convert all the text to a continuous text file.
For my particular application, each alphabet will be associated with a specific co-ordinate. But I just couldn't find a single resource to learn how to identify the location of converted character on the image.
Please enlighten me how to extract the coordinates of a character from an image.
This is a good project. But I think it is a chicken-and-egg problem. You need to have OCR performed by a capable OCR engine (most don't provide coordinates) and the result will have the text and associated coordinates. Your question "how to extract the coordinates of a character from an image" means perform OCR and get coordinates. If performing zonal OCR, i.e. Not the entire screen, you need to know what zone to OCR, and establishing this zone to make sure it includes all necessary text around your mouse location in that zone is probably the biggest challenge. My company at www.wisetrend.com builds such OCR-specialized projects per case. We'll be glad to help in this non-commercial project if you'd like to work jointly.
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I am writing a python tool to find specific symbols (e.g. a circle/square with a number inside) on a drawing pdf/screenshot.png
I know from another data source the specific number(s) that should be inside the circle/square.
Using opencv matchTemplate I can find symbols and its coordinates.
One way would be to created all possible symbols (so circles/squares with number 1 to 1000) and save them. Then use opencv to find it on the drawing since I know the number to be found, and thus the filled symbol.
I am sure that the is a smart way to do this. Can somebody guide me into the right direction.
Note: pdfminer will not work since I will not be able to distinguish between measurement numbers and the text coming from the symbol, but I could be wrong here.
I am also trying to solve a similar problem in a coding assignment. The input is a n low poly art illustration.
Once you find the location of the UFO's, you need to crop that part and pass it through a classifier to find the number that UFO contains. The classifier is trained on 5000 images.
I am now going to try the matchTemplate method suggested by you to find the co-ordinates of the UFOs.
I am trying to detect and extract the "labels" and "dimensions" of a 2D technical drawing which is being saved as PDF using python. I came across a python library call "pytesseract" which has optical character recognition capability. I tried the demo on my image but it fails to detect most of the label/dimensions. Please suggest if there is other way to do it. Thank you**.
** Attached is a sample of the 2D technical drawing I try to detect
** what I am trying to achieve is to able to obtain the coordinate of every dimensions (the 160,120,10 4x45 etc) on the image, and extract the, as well.
About 16 months ago we asked ourselves the same question.
If you want to implement it yourself, I'd suggest the following process:
Extract the Canvas from the sheet
Separate the Cuts
Detect the Measure Regions on each Cut
Detect the individual attributes of the Measure Regions to understand where the Measure Start & End. In your particular example that's relatively easy.
Run the detected Measure Labels through OCR
Associate the Labels to the Measures
Verify your results
Alternatively you can also run it through our API and get the results as JSON.
Here's a quick visualization of the result:
Drawing Read (GT stands for General Tolerances)
I want to define an rectangular area on top of an image, that has got a specific width and a specific height and in which a text should be pasted. I want the text to stay inside of this text field. If the text is longer, its size should be decreased and at one point it should be converted into a multiline text. How can I define such a text field using Pillow in python3?
I am looking for a clean and minimalist solution.
Sadly, I have no idea how to do this, since I am very new to python. I also didn't find any helpful and fitting information on how to do this, in the Internet. Thanks in advance!
Looking to have python take input from a camera and have it read what it sees.
For example the camera lens sees ...---... and would translate that to SOS.
Trying to find a good pattern to use that would go back to a database and tell the program a location. But I'm first trying to figure out how I could take a camera lens and it would see the pattern and feed what it sees to a program to determine location.
I found this article: count colored dots in image
But it was reading and counting color dots. So similar, but I want to be able to recognize a pattern (bar code, Morse code, ect) and related it back to a location (thinking I will have this in a database of some sort).
Thanks for any input or direction you can give.
I have all the characters of a font rendered in a PNG. I want to use the PNG for texture-mapped font rendering in OpenGL, but I need to extract the glyph information - character position and size, etc.
Are there any tools out there to assist in that process? Most tools I see generate the image file and glyph data together. I haven't found anything to help me extract from an existing image.
I use the gimp as my primary image editor, and I've considered writing a plugin to assist me in the process of identifying the bounding box for each character. I know python but haven't done any gimp plugins before, so that would be a chore. I'm hoping something already exists...
Generally, the way this works is you use a tool to generate the glyph images. That tool will also generate metric information for those glyphs (how big they are, etc). You shouldn't be analyzing the image to find the glyphs; you should have additional information alongside your glyphs that tell where they are, how big they should be, etc.
Consider the letter "i". Depending on the font, there will be some space to the left and right of it. Even if you have a tool that can identify the glyph "i", you would need to know how many pixels of space the font put to the left and right of the glyph. This is pretty much impossible to do accurately for all letters. Not without some very advanced computer vision algorithms. And since the tool that generated those glyphs already knew how much spacing they were supposed to get, you would be better off changing the tool to write the glyph info as well.
You can use PIL to help you automate the process.
Assuming there is at least one row/column of background colour separating lines/characters, you can use the Image.crop method to check each row (and then each column of the row) if it contains only the background colour; thus you get the borders of each character.
Ping if you need further assistance.