I achieved H x W x L (3D) calculation with IntelRealSense D4xx camera,combining opencv + math + mrcnn. Like you said before, a well trained model can give an accurate inference in a matter of +- 2cm tolerence!
Other easier way is to train a classification of Legos type, since there are only a few. So the classification find the type and associate to its dimension.
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I achieved H x W x L (3D) calculation with IntelRealSense D4xx camera,combining opencv + math + mrcnn. Like you said before, a well trained model can give an accurate inference in a matter of +- 2cm tolerence!
can you send me your github link
Other easier way is to train a classification of Legos type, since there are only a few. So the classification find the type and associate to its dimension.
Great lesson, can we do it using detectron2, if possible kindly make a video, very thankful to you
How can I calculate the region for irregular images? Like brain tumor detection?
Can you make a video about realtime detection with colab?? I really need it
The code is very expensive. Please make it affordable. THanks
Very good😃🇧🇷👏
The code is not working now could you please help me?
¿if i want to see the class names what are the changes of the code i can do?
How can i export the masks with their areas into a csv file?
Can you do for us some excel python traitement courses
please help i can't install on my notebook using google collab
Why not use simple segmentation? That is, using only image processing, instead of having to train a CNN model?