LoadFeature.m
I use _metric(modelfolder_a,modelfolderb) in matlabscript with my own model A and B to get the lightfield.mat as ABlfd.mat(if this was right), and got error:
as well as the following 3 lines LoadFD, LoadCir and LoadEcc
although results of ndims() on both sides of the ‘=’ are equal, so I couldn't figure out where went wrong.
model.py
I commented out 4 lines mentioned above and got ABlfd.mat， with togFeaturepoolingc.mat from get_feature17() for both A and B， run “python main.py --dataname_a A -dataname_b B” and got error:
..\python\model.py", line 125, in init
name='a/L1')
ValueError: Cannot create a tensor proto whose content is larger than 2GB.
Is this error possibly connected to the 4 lines I commented out? Those 4 lines seems only caculate the FeatureVector without changing size.
I'm new in matlab and tensorflow and may misunderstood these code. Any suggestion appreciated.
Subscripted assignment dimension mismatch. in LoadFeature (line 39) FeatureVector(i,posArt) = LoadArt(artfile);
as well as the following 3 lines LoadFD, LoadCir and LoadEcc although results of ndims() on both sides of the ‘=’ are equal, so I couldn't figure out where went wrong.
..\python\model.py", line 125, in init name='a/L1') ValueError: Cannot create a tensor proto whose content is larger than 2GB.
Is this error possibly connected to the 4 lines I commented out? Those 4 lines seems only caculate the FeatureVector without changing size.
I'm new in matlab and tensorflow and may misunderstood these code. Any suggestion appreciated.