Comments (1)
The test code certainly does, since at test time one does not know about (or assume) the presence of objects in the image. The code should also properly handle training images that do not contain any ground truth positive examples, though I haven't tested this case explicitly.
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Related Issues (20)
- Invalid mex file on windows 10
- dataset HOT 1
- caffe('get_init_key') Undefined function 'caffe' for input arguments of type 'char'. HOT 9
- Error in rcnn_load_model (line 27) HOT 2
- matcaffe error HOT 3
- Caffe matlab wrapper giving me random outputs for the same input
- Matlab crash on Ubuntu 14.04, Matlab 2016a and caffe v0.999 HOT 4
- Caffe 0.999 error in 'make all'
- make runtest error on caffe 0.999, Ubuntu 12.04, Cuda 5.5, without GPU HOT 2
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