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Hi @skat00sh Thank you for introducing yourself. About your questions:
Best regards |
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Thank you @paulojamorim! |
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Hello @paulojamorim
Continuing the discussion from #496 (comment)
I've a few queries:
You said "the segmentation can have pre-segmented files to verify that the methods are working correctly." : I don't really understand what does pre-segmented file mean here? Does it mean Ground-Truth segmentation masks or something else?
What sort of code-coverage are you aiming for? Is the idea ultimately to move somewhat in the direction of Test-Driven Development in future? I'm asking that since that would mean to me that Adding Unit tests could be treated as some sort of technical debt and then moving forward TDD becomes a norm
If you please share what is expected out of this project at the least and what would be good to have?
Thanks in advance
P.S: Apologies that I never really introduced myself (I just got veru intrigued when I saw this project and instantly wanted to understand better).
I'm Devendra, final year master's student at TU Munich. I've worked in Object Detection, Tracking and Segmentation both in an academic/research and corporate setting. I've worked both with C++ and Python. In Deep Learning, I'd say my skill-set is in Computer Vision based tasks like Detection/Tracking/Segmentation, 3-D reconstruction and robustness and privacy of networks. From the software engineering side, I've worked as a Self-Drving Car Engineer in a project where required Test Driven Development and Clean coding was a must.
The project sounds really interesting and I'd love to contribute to invesalius.
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