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lim-anggun avatar lim-anggun commented on June 1, 2024 5

Hi @prashant-bansod ,
You may find this Jupyter Notebook helpful.

You need to add extra parameters to the load_model function as follows:

from instance_normalization import InstanceNormalization
from my_upsampling_2d import MyUpSampling2D
from FgSegNet_v2_module import loss, acc, loss2, acc2

model = load_model(model_path, custom_objects={'MyUpSampling2D': MyUpSampling2D, 'InstanceNormalization': InstanceNormalization, 'loss':loss, 'acc':acc, 'loss2':loss2, 'acc2':acc2})

from fgsegnet_v2.

prb2307 avatar prb2307 commented on June 1, 2024

@lim-anggun Thank you very much. I made the required corrections. Thanks a ton for your reply.
I had one more question, I tried the pedestrian model but the silhouettes I got are noisy. Does the background has an effect on the extracted silhouettes?

What do you think would be the best approach to extract human silhouettes?

from fgsegnet_v2.

Tomingz avatar Tomingz commented on June 1, 2024

thanks a lot for your great work, but how to make my own data like the CDnet2014? and how to train it?

from fgsegnet_v2.

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