SegNet-Tutorial
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Training output perform much worse than pre-train segnet_basic_camvid model
Hi All,
I am fine tuning segnet_basic_camvid.caffemodel
on Cityscape data by using segnet_basic_train.prototxt
and segnet_basic_solver.prototxt
. The output of loss and avg accuracy looks good (loss: 0.76, avg accuracy: 0.6). But when I using test_segmentation_camvid.py
to display inference model result, it looks much worse than pre-train model. Can anyone give me some help? Thanks in advanced.
(Ground Truth)
( Pretrain Model Inference Result)
Below are the result of training output model before calculating bn statistics and after bn statistics.