Abort the multi-label
Closed this issue · 4 comments
Hi. When I test, I can not find the output file and I don't find how to output the multi-label. When multi-label, how to define my pred labels are right. Thanks.
You can define your gt multi-label like this. The log file will be in your exp dir which looks like log.train.*** or log.test.*** if you run the code as the way in readme.
You can define your gt multi-label like this. The log file will be in your exp dir which looks like log.train.*** or log.test.*** if you run the code as the way in readme.
I get my log file, however, after testing, I don't find my output file. You mean this? When multi-label, how you set your threshold to get the true label? Thanks.
tensor([[-16.4232, 13.8030, -17.7465, -8.4778, -12.2690, -6.4211, -10.1446,
-10.7173, -18.9637, -16.3393],
[-17.2387, 14.4860, -18.6262, -8.8768, -12.9265, -6.6981, -10.4857,
-11.1755, -19.9906, -17.1772],
[-17.8470, 14.9714, -19.3139, -9.2063, -13.4063, -6.8954, -10.8004,
-11.5017, -20.7062, -17.8251],
[-17.8988, 15.0112, -19.3701, -9.2328, -13.4491, -6.9146, -10.8270,
-11.5318, -20.7675, -17.8806],
[-16.4080, 13.7989, -17.7305, -8.4718, -12.2654, -6.4196, -10.1315,
-10.7031, -18.9458, -16.3345],
[-16.4051, 13.7975, -17.7276, -8.4651, -12.2609, -6.4138, -10.1311,
-10.7010, -18.9413, -16.3300]], device='cuda:0')
2020-09-05 12:39:31,338-temporal_helper.py#429:Test: [0/2] Time 3.135 (3.135)
tensor([[-16.3986, 13.7837, -17.7263, -8.4589, -12.2476, -6.4185, -10.1290,
-10.7015, -18.9352, -16.3089],
[-18.1527, 15.2382, -19.6569, -9.3546, -13.6706, -6.9802, -11.0059,
-11.7343, -21.0639, -18.1724],
[-17.4185, 14.6345, -18.8336, -8.9639, -13.0505, -6.7091, -10.6203,
-11.3015, -20.1347, -17.3628],
[-19.8432, 16.5801, -21.5381, -10.2100, -15.0140, -7.5558, -11.8861,
-12.7359, -23.0970, -19.9284],
[-19.2284, 16.0839, -20.8627, -9.9008, -14.5358, -7.3400, -11.5665,
-12.3737, -22.3715, -19.2801],
[-18.4896, 15.4994, -20.0523, -9.5344, -13.9326, -7.0929, -11.1961,
-11.9459, -21.4432, -18.5001]], device='cuda:0')
2020-09-05 12:39:33,718-temporal_helper.py#445: * mAP 100.000 Loss 0.000 total_num=12.0