Start building a model for scene classification (the data loader works too slow, I am trying to find out a way to speed it up)
Tasks for the next week:
Finish experiments with scene classification
Prepare inference for it
Prepare inference for video stream (running all steps for detection and segmentation for a video) @sunbiz correct me if this part is not detailed enough
Complete notebooks with Detection inference results
Hi @DaniilOr I won’t be able to attend todays meeting. Please provide update on the pipeline I asked you to create with some output (maybe you can include images in reply to this thread.)
Added examples of detection: experiments · detection · Daniil / lh-radiology-vr-models · GitLab
Some of the examples can be shown here, I guess. TL DR: I have experimented with different distortion parameters, the model detects the surgical tools well for almost all parameters.
Tasks for the next week:
Do a major code refactoring (but merging my MRs is needed), write documentation
Here are some examples of videos: DropMeFiles – free one-click file sharing service
Now there is no need to move between frames using the keyboard, processing is faster and the segmentation results are easy to read.
I hope this quality is fine
No issues – I just remind you – me needing to remind you isn’t going to go against you…Now, if I’m reminding you on Sundays, that’s an issue; otherwise, you’re fine.
@pri2si17 I also would like to start working towards the final submission. Are the any fixes that I have to add before moving to this part? Also, can you review the final submission post when it is ready?
Hi @DaniilOr , thanks for quickly resolving the conflicts. I wont be able to meet, but I want you to make an architecture diagram of the whole system and update the README with instructions to run.