This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
I am getting the following inference output after 10k training iterations on a ResNet34 pre-trained backbone.
Are the PQ values supposed to be so low? For ex: 0.34 (does this actually mean 34 percent?)
I am getting the following inference output after 10k training iterations on a ResNet34 pre-trained backbone. Are the PQ values supposed to be so low? For ex: 0.34 (does this actually mean 34 percent?)
[06/29 20:23:42 segmentation_test]: OrderedDict([('segm', {'AP': 5.71368072249309, 'AP50': 14.698149986496215})])
[06/29 20:25:24 segmentation_test]: {'All': {'pq': 0.3420215735136758, 'sq': 0.6189864762517887, 'rq': 0.4380984066808291, 'n': 19}, 'per_class': {7: {'pq': 0.9477637171822374, 'sq': 0.9526897240282989, 'rq': 0.9948293691830403}, 8: {'pq': 0.5613471605445204, 'sq': 0.7657780667726741, 'rq': 0.7330415754923414}, 11: {'pq': 0.7076619260716286, 'sq': 0.8233854645704008, 'rq': 0.8594539939332659}, 12: {'pq': 0.06882625524072358, 'sq': 0.6423783822467534, 'rq': 0.10714285714285714}, 13: {'pq': 0.11938448060671651, 'sq': 0.6653197617145139, 'rq': 0.17943925233644858}, 17: {'pq': 0.2233735409372342, 'sq': 0.6011939301796417, 'rq': 0.37154989384288745}, 19: {'pq': 0.17808683224783267, 'sq': 0.630980069429821, 'rq': 0.2822384428223844}, 20: {'pq': 0.49446154724610397, 'sq': 0.7018699143795368, 'rq': 0.7044917257683215}, 21: {'pq': 0.743941329201978, 'sq': 0.8195109901818628, 'rq': 0.9077868852459017}, 22: {'pq': 0.21917204129954795, 'sq': 0.711410888152631, 'rq': 0.30808080808080807}, 23: {'pq': 0.8017755512307644, 'sq': 0.8956862895991033, 'rq': 0.895152198421646}, 24: {'pq': 0.3162603266031253, 'sq': 0.7006327371718746, 'rq': 0.45139244831710235}, 25: {'pq': 0.2117730720003218, 'sq': 0.6146195924219866, 'rq': 0.344559585492228}, 26: {'pq': 0.4722979928801463, 'sq': 0.7887466101210944, 'rq': 0.598795591410067}, 27: {'pq': 0.0, 'sq': 0, 'rq': 0.0}, 28: {'pq': 0.2772966560348428, 'sq': 0.8078931421015132, 'rq': 0.3432343234323432}, 31: {'pq': 0.0, 'sq': 0, 'rq': 0.0}, 32: {'pq': 0.0, 'sq': 0, 'rq': 0.0}, 33: {'pq': 0.1549874674321157, 'sq': 0.6386474857122791, 'rq': 0.24268077601410934}}, 'Things': {'pq': 0.179076939368819, 'sq': 0.44381744594109346, 'rq': 0.24758284058323124, 'n': 8}, 'Stuff': {'pq': 0.4605267619826625, 'sq': 0.7463821346595672, 'rq': 0.5766551820245366, 'n': 11}}