I have to detect the tagerted puzzle in an image using python.
Image is below
Image Link Please see image
Please share relevant libraries, documents etc where i can learn to solve this task.
Thanks
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I am trying to find logo exists in an image or not, where i have create some logos list in png format.
I have tried using opencv with nodejs.
I have used OPENCV image-templating but I am not getting actual solutions.
Example:
I have some list of logos.
I have captured an image.
Not i have to detected in the image there is any logo exists or not.
have you tried training an ai to look at the logos you want to find or image recognition?
I create BIM model and place the pictures (JPEG file) on the model's wall using 'place decal' function and change the graphic display option to 'realistic'. The result is as picture 1.
After that, I upload model to Forge viewer. However the pictures are not shown.
My questions are:
1) Why are the pictures in my revit model not shown in Forge viewer? How can I fix this?
2) If I can fix and the pictures are shown, can I change or replace the pictures in Forge Viewer later?
Please help, thank you.
Re 1: it's possible that decals in Revit models are currently not supported by the Forge Model Derivative service. I will talk to the engineering team and update this answer when I hear back from them. In the meantime, double check whether the decal image is embedded in the Revit file or referenced externally. If the image is referenced, you would have to include it with the *.rvt file in a zip archive when uploading & translating it in Forge.
Re 2: modifying textures of existing objects in Forge Viewer is possible but more involved. It would be easier to create new geometry (for example, using SceneBuilder), and overlay the existing decals.
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.
I google it, but the number of library are overwhelming,
I'm looking for a image manipulation library, written in Python that I can implement in Flask;
I need to solve this simple sets of operations:
Upload the image.
Resize / scale the image (maintained the proportions).
Save the new image in a specific path with a specific name.
Remove the original image.
Also I notice that many promising project are unchanged in the last 2 years....
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.