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There are lots of missing entries in annot.h5 files.
One direct result is that the main.lua -eval returns nan for accuracy.
I also print out several parts labels directly from the dataset.
After creating the dataset obj, run following scripts
for i = 1, 100 do -- print the randomly selected pts
local pts = dataset:getPartInfo(i)
print('the joint centers of test ',i,'\n coordinates are',pts ) -- totally empty , the
end
part of the results
the joint centers of test 62
coordinates are 1033 538
1044 463
1051 344
1099 352
1116 458
1117 543
1075 348
1077 255
1078 252
1116 195
1125 253
1105 293
1048 259
1105 250
1108 307
1110 357
[torch.DoubleTensor of size 16x2]
the joint centers of test 63
coordinates are 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
[torch.DoubleTensor of size 16x2]
the joint centers of test 64
coordinates are 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
[torch.DoubleTensor of size 16x2]
the joint centers of test 65
coordinates are 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
[torch.DoubleTensor of size 16x2]
the joint centers of test 66
coordinates are 0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
[torch.DoubleTensor of size 16x2]
Actually, from 63 to 97, the labels are totally empty.
Could you provide a correct annotation files ?
Thanks.
The text was updated successfully, but these errors were encountered:
There are lots of missing entries in annot.h5 files.
One direct result is that the main.lua -eval returns nan for accuracy.
I also print out several parts labels directly from the dataset.
After creating the dataset obj, run following scripts
part of the results
Actually, from 63 to 97, the labels are totally empty.
Could you provide a correct annotation files ?
Thanks.
The text was updated successfully, but these errors were encountered: