Open cpagravel opened 6 years ago
The debug output just before crashing is:
im_size: (102.0, 1000.0)
scale: 0.660938560963
height, width: (7, 63)
rpn: gt_boxes.shape (2, 5)
rpn: gt_boxes [[ 35.69068146 36.35161972 104.42829132 67.41573334 1. ]
[ 891.6060791 36.35161972 960.34368896 68.73760986 1. ]]
total_anchors 3969
inds_inside 0
anchors.shape (0, 4)
@cpagravel hi,do you fix this problem?can you tell me how to solve it? thanks so much!!!!
I am trying to train on a custom image set that is very wide in comparison to its height. The error I am getting is:
I've read some related issues on this:
27 specifically: https://github.com/rbgirshick/py-faster-rcnn/issues/27#issuecomment-171520704
126
63
I would like to know how I can get around this. My dataset contains many pictures that have wide and uncommon aspect ratios (though they all have about similar aspect ratios to each other).