Hi everyone,
I wonder is it make sense to train the model with the sequence length==1.
I ask that because I have the custom dataset for training people detector which do not have any sequence information. i.e I just have the label x,y,w,h, classid for each image.
And I want to train a other model that is like a supplement for the people detector model in our software like when the people detector fail to detect people at the current frame, we can use the SiamRPN to infer the bboxes that likely having object in the current frames based on the detected boxes by people detector in the previous frames
Is it make sense and is there any problem to train the model with sequencce length==1?
What do you guys think?
Thank you
Hi everyone,
I wonder is it make sense to train the model with the sequence length==1.
I ask that because I have the custom dataset for training people detector which do not have any sequence information. i.e I just have the label x,y,w,h, classid for each image.
And I want to train a other model that is like a supplement for the people detector model in our software like when the people detector fail to detect people at the current frame, we can use the SiamRPN to infer the bboxes that likely having object in the current frames based on the detected boxes by people detector in the previous frames
Is it make sense and is there any problem to train the model with sequencce length==1?
What do you guys think?
Thank you