I have tried and follow some tutorial about object detection API. I can see that most of us using LabelImg to create XML files for label the data. But I have a question that if inside the image we don't have the object so we not label and therefore missing an XML file?.
So we should remove that image which not contained any object or we still keep that image? And if keep how we can use this if no xml file? Because I think this image may provided negative info for model and help model not miss-detect the non-object.
Related
I am struggling to apply text redaction in a PDF file in a aws lambda function written in NodeJs. Here is a list of libraries that I have tried with no success:
pdf-lib: This library almost fulfils all the requirements except that it doesn't redact the text permanently as part of its limitations https://github.com/Hopding/pdf-lib/issues/827
PDF.js: To overcome the above limitation, tried to covert the pdf to an image, so the redaction black boxes are applied permanently. Example code here: https://github.com/mozilla/pdf.js/blob/master/examples/node/pdf2png/pdf2png.js However, this lib is not reliable as this cannot extract contents from most pdfs during the process.
Finally, Pdf2Pic: This library helps to overcome the limitation of the first library (pdf-lib) by the converting the pdf into images. But this library internally uses two non node based libraries (graphicsmagick and ghostscript) which I am trying to avoid.
Is there a nodejs based solution that can be used to apply redaction permanently on a pdf file or any solution that can be used to covert a pdf to images to overcome limitation of pdf-lib.
I'm using the Modelica.Mechanics.MultiBody.Visualizers.FixedShape to render custom 3D models. I tried using .dxf and .stl in ASCII format but none works.
For .dxf I get no error but the model doesn't show up.
For .stl I get an error saying there is no plugin for that file type.
Please see the highlighted portions in the above image. OpenModelica supports adding an external shape using the format shapeType=modelica://<Modelica-name>/<relative-path-file-name>. Preferably create a Resources folder in the same level under the library folder and add dxf files in them. The following animation shows the same. Hope this helps!
I'm using openslide-python to read whole slide images in the Philips format. I am trying to anonymize the data by removing the label associated image by deleting/replacing this:
slide.associated_images["label"]
However it raises:
TypeError: '_AssociatedImageMap' object does not support item assignment
I know this is because Openslide is a reading not writing library, however I can't find a solution to remove the labels for Philips format.
I was wondering if anyone else has gone though a massive classification restructure process, and knew of a way to efficiently remove attributes from a classification. Preferably via the MXLoader, or the import/export functionality built into Maximo. I know going into every individual classification that needs to have some specific attributes removed can be achieved, just hoping someone might know a better way to accomplish this.
Essentially what I am hoping to accomplish is the following with out going directly through the UI for each classification.
Pre-update
Classification A
(Attribute 1
Attribute 2
Attribute 3
Attribute 4
Attribute 5)
Post update
Classification A
(Attribute 1
Attribute 2
Attribute 5)
I have tried to export the .csv file using the object structure we have built supporting classstructure, classspec, and classusewith then imported the file back post removing an unwanted attribute using the sync function, but was not successful and not 100% sure where to go from there if the feat is indeed possible via theses means.
Thanks ahead of time for any potential help/support.
To do this with a data load, you'll need to load XML, not flat / CSV. This XML file will need to be loaded via the External Systems > Enterprise Services tab, after you've built an Enterprise Service for your Object Structure and associated that Enterprise Service with an External System. Your top level tag, for a given classification, will need to have attribute action="Change" and the child tag for the attribute will need to have an attribute of action="Delete". With a little string concatenation in your spreadsheet tool, you should be able to easily upcycle your CSV into the necessary XML.
Does anybody knows how to create a structured report using dicom scope toolkit via console (ubuntu 16.04) with a link to a related image?
The thing is that I have an image of some kind of trauma and I have to connect with a report which is in a text file. The last file should be in .dcm format which contains annotation and a link to an image. I have to use dicom scope program.
Maybe others refrain from answering because your question needs a very long answer. I cannot provide step-by-step instructions, a few hints, though.
The way I would go is to:
(assuming that your image is available in DICOM format):
obtain a sample structured report. I think that the "simple" Basic Text SR is what you want to go for. You can find some samples here.
convert the SR to an XML file using dsr2xml
edit the contents in XML. Do not forget to include your image reference in (0040,a730) Content Sequence -> (0008,1199) Referenced SOP Sequence
convert the XML back to DICOM SR using xml2dsr
By the way: From your question, I did not really understand why you want to use a structured report, as you wrote that your report is plain text. Instead of digging into the complex structure of SR, you may want to consider exporting the report to an Encapsulated PDF document which can reference images as well.