How to find the optimal hyper-parameters in the ensembling process about weighted-boxes-fusion HOT 6 CLOSED

I used grid search.

from weighted-boxes-fusion.

Thank you for your quick reply! Did you use the function/module from sklearn library or write the function from scratch to implement the grid search? Please give me a hint. Thank you!

from weighted-boxes-fusion.

I just made set of cycles.

from weighted-boxes-fusion.

Hello, sorry to trouble you again. Are the weights of the different models determined by the grid search or set according to the experience? For example, when ensembling the detections of two models with the NMS method, the optimal IOU threshold can be determined by the grid search, but how the optimal weights of these two models can be determined?

from weighted-boxes-fusion.

Weights also can be found using grid search. But in my experience - the better metric for model the more weight for it must be set in ensemble.

from weighted-boxes-fusion.

wow, thanks for the fast response! I understood : )

from weighted-boxes-fusion.