class,image_path,name,xmax,xmin,ymax,ymin
3.0,4a48c42c9579ec0399e6c5a3e825e765.jpg,GARBAGE,797.0,701.0,262.0,211.0
3.0,4a48c42c9579ec0399e6c5a3e825e765.jpg,GARBAGE,932.0,786.0,329.0,238.0
3.0,4a48c42c9579ec0399e6c5a3e825e765.jpg,GARBAGE,736.0,657.0,275.0,229.0
7.0,ea906a663da6321bcef78be4b7d1afff.jpg,BAD_BILLBOARD,986.0,786.0,136.0,0.0
8.0,1c7d48005a12d1b19261b8e71df7cafe.jpg,SAND_ON_ROAD,667.0,549.0,228.0,179.0
8.0,1c7d48005a12d1b19261b8e71df7cafe.jpg,SAND_ON_ROAD,799.0,628.0,238.0,176.0
How to covert above .CSV file to yolo format and through which platform?
I am a beginner and I want to convert above .csv file to yolo format.
I found below link for reference but still not able to solve the problem.
Reference solution : How to convert polygon coordinates to rectangle(yolo format) for an image labelling?
I am not getting how to integrate the above piece of code (provided in the link) with my .csv file to convert it into the YOLO Format.
you can use Roboflow for this purpose. It can automatically convert annotations into various formats. visit: https://app.roboflow.com/
Related
I wanted to parse a btsnoop log file and extract the l2cap data from it Is there any way to parse a btsnoop log capture file and extract data from it by filtering using python or any other way?. I am able to convert the .cfa file into a txt file which contains hex data. I am getting extra data with the raw data.I am able to convert the .cfa file into a txt file which contains hex data.
I am able to convert the .cfa file into a txt file which contains hex data.
I am using a CoreML converted from a TensorFlow model for iOS. When I converted, the output is mlmultiarray, instead of the expected dictionary and string types.
Thus, the output would not be readable at all.
How would you fix this?
Thanks!
When you convert the model from TF to Core ML, you need to tell the converter this is a classifier. The easiest way to do this is to provide a text file (or array) containing the class labels when you run the converter.
I want to compress BMP images into a JPEG bitstream. But I couldn't find a Huffman table in .csv or .txt format anywhere on the internet so that I can read that file directly into my code. So I am unable to find the corresponding Huffman codes for (run-length, size) pairs. Can someone provide the link to this table or any information regarding where to find this?
I am working on invoice parser which extracts data from invoices in pdf or image format.It works on simple pdf with non tabular data but gives lots of output data to process with pdf which contains tables.I am not able to get a working generic solution for this.I have tried the following libraries
Invoice2Data : It is based on templates.It has given fairly good results in json format till now.But Template creation for complex pdfs containing dynamic table is complex.
Tabula : Table extraction is based on coordinates of the table to be extracted.If the data in the table increases the table length increases and hence the coordinates changes.So in this case it gives wrong results.
Pdftotext : It converts any pdfs to text but with the format that needs lots of parsing which we do not want.
Aws_Textract and Elis_Rossum_Ai : Gives all the data in json format.But if the table column contains multiple line then json parsing becomes difficult.Even the json given is huge in size to parse.
Tesseract : Same as pdftotext.Complex pdfs are not parseable.
Other than all this or with combination of the above libraries has anyone been able to parse complex pdf data please help.
I am working on a similar business problem. since invoices don't have fixed format so you can't directly use any text parsing method.
To solve this problem you have to use Computer Vision (Deep Learning) for field detection and Pytesseract OCR for converting image into text. For better understanding here are the steps:
Convert invoices to image and annotate the images with fields like address, Amount etc using tools like labelImg. (For better results use different types of 500-1000 invoices)
After Generating XML files train any object detection model like YOLO or TF object detection API.
The model will detect the fields and gives you coordinates of Region Of Interest(ROI). like
Apply Pytessract OCR on the ROI coordinates. Click Here
Finally, use regex to validate the text in the extracted field and perform any manipulation/transformation that is necessary. At last store data to CSV OR Database.
Hope my answer helps you! Upvote answer so it reaches to maximum people.
I am converting png image into autocad format(.dxf).But after conversion png to dxf .Image is not opening in autocad software.
Code for convert PNG image into DXF format
def download_dxf
data = open("#{Rails.root}/public/result.png").read
send_data data, :disposition => 'attachment', :filename=>"map.dxf",type: "application/CAD",content_type: 'application/CAD',mime_type: 'application/CAD'
end
Inside public folder result.png image is existing from where i am picking this image and convert them into DXF format.
After conversion image is not opening in autocad software.
It is not a real programming problem, but a file format problem. I'd say that you must learn a lot about how file formats work before addressing this kind of issues. You can't convert from a file format to another by simply opening it and sending the same data it to another file. Additionally, png is a raster image format while dxf is a vector format, which means that converting one thing to the other is not a trivial problem.
And, specifically over the code, I don't know how to program in Python, but I'd say that you can't use send_data to write data to a file.