Open aaronpohle opened 11 months ago
Hast du ein 60fps Video genommen zum probieren?
Did you took a 60 frames per second video?
@tfaehse removed it in favor of faster batch processing
Would be nice to have it back, just to avoid flashing license plate within scenes.
Thanks you for the answer, i found the commit: https://github.com/tfaehse/DashcamCleaner/commit/d5e792e0719bcf4b2d5140208444a9f4ec0c87aa
Now I can look how I can enable the feature again, probably by losing performance. But I have cases in which this feature would help and is more important than speed.
Thanks you for the answer, i found the commit: d5e792e
Now I can look how I can enable the feature again, probably by losing performance. But I have cases in which this feature would help and is more important than speed.
Could you please share with us in case you find a way ?
also, this issue is now a duplicate of #68, both are asking the same thing
I also would like it back :-)
Same here, this feature would help a lot. I have a lot of flickering between some frames unfortunately.
I'll try to address this over the holidays, I didn't know it was actually popular :)
I would really like to have the feature back - it doesn't matter if it takes longer - it's still faster than correcting the errors by hand.
Hi, is there any news on this topic? Would be great to have the feature back.
I also would like to have this feature back :) Speed is no issue, as I "clean" the videos in batch mode on a server in the background, but fixing all this "flickering" manual is a huge amount of work. Flickering always means, the face or plate is visible for one or two pictures.
This PR should fix this, hopefully: https://github.com/tfaehse/DashcamCleaner/pull/87
Basically, the pipeline was (pretty massively) changed to
Internally, this tracker (https://github.com/tryolabs/norfair, love it) uses kalman filters to estimate movement of boxes it can track. In the best case, this works better than a frame memory, because the position is not the same as in the previous frames but a better estimation. Worst case it's the same as before, because no real motion can be estimated. I hope this works well for you! :)
Next up, the detector has to be improved.
According to the readme, the dashcamcleaner has a nice feature: "Sometimes, a license plate might be missed for just one frame. This one frame, usually 1/30th of a second long, still means the license plate or face could easily be identified - a computationally very cheap (as opposed to increasing the inference scale) way to fix such false negatives can be the frame memory option. In essence, it blurs not only the detected boxes in the current frame, it also blurs regions that were detected in n frames before."
Where is it implemented and how can i influence the number of previous blurred frames?