If you're willing, could you try using AdaptiveDetector? It should have better defaults for handling fast camera movements a bit better.
The threshold values themselves can be tuned if you generate a statsfile and plot the result, but that can sometimes be tedious if you have a lot of files (thus the huge interest in methods like TransNetV2). Glad to see the real world applications of those in action. You can always just increase/decrease the threshold by 5-10% depending on if you find it's too sensitive or not sensitive enough as well.
Comments
If you're willing, could you try using AdaptiveDetector? It should have better defaults for handling fast camera movements a bit better.
The threshold values themselves can be tuned if you generate a statsfile and plot the result, but that can sometimes be tedious if you have a lot of files (thus the huge interest in methods like TransNetV2). Glad to see the real world applications of those in action. You can always just increase/decrease the threshold by 5-10% depending on if you find it's too sensitive or not sensitive enough as well.
Thanks for the response!
AdaptiveDetector definitely did a better job, will append these new stats to the post:
precision 0.397, recall 0.727, F1 0.513, mean temporal error 0.307 s