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The performance both on COCO2014 and own datasets is the same. I just changed the data path in path_catalog.py before training.
Is there anyone who has some ideas or the same experience as me?
Thx
The text was updated successfully, but these errors were encountered:
hi, please, can you tell me what command you executed to get these results? when i run tools/test_net.py on a custom dataset, i get an error reported in #99
I got the performance as follows:
maskrcnn_benchmark.inference INFO: OrderedDict([('bbox', OrderedDict([('AP', -1.0), ('AP50', -1.0), ('AP75', -1.0), ('APs', -1.0), ('APm', -1.0), ('APl', -1.0)])), ('segm', OrderedDict([('AP', -1.0), ('AP50', -1.0), ('AP75', -1.0), ('APs', -1.0), ('APm', -1.0), ('APl', -1.0)]))])
The performance both on COCO2014 and own datasets is the same. I just changed the data path in path_catalog.py before training.
Is there anyone who has some ideas or the same experience as me?
Thx
The text was updated successfully, but these errors were encountered: