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Prerequisite
🐞 Describe the bugI am using mmdetection version 2.20.0.I encountered this problem when I used yolox (mmdet - ERROR - The testing results of the whole dataset is empty.) In fact, my test set has existing data. I am using yolox_s_8x8_300e_coco.py,the specific configuration is as follows base = ['../base/schedules/schedule_1x.py', '../base/default_runtime.py'] img_scale = (640, 640) model settingsmodel = dict( dataset settingsdata_root = 'D:/Code/mmaction2-0.22.0/mmdetection-2.20.0/data/coco/' train_pipeline = [ train_dataset = dict( test_pipeline = [ data = dict( optimizerdefault 8 gpuoptimizer = dict( max_epochs = 30 learning policylr_config = dict( runner = dict(type='EpochBasedRunner', max_epochs=max_epochs) custom_hooks = [ Environmenttorch 1.8.0 Additional informationNo response |
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hi, I think I encountered the problem, one of these solved it:
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hi, I think I encountered the problem, one of these solved it:
is_crowd: 1
, but COCO ignores those, set is_crowded: 0