Open Kangzf1996 opened 3 years ago
Is this the result for 10th epoch?
yes @Joker316701882
@kikyoyang Please check your data. We can get proper training results using the current code.
@kikyoyang Please check your data. We can get proper training results using the current code.
I used the COCO datasets. The data is ok.
请问你解决这个问题了吗?我也遇到这个问题。
@kikyoyang I meet the same problem. I fix this by delete the cache data and rerun the experiments, which works for me!
cache data path: path_to_coco/img_resized_cache_train2017.array
please be aware of the following logs:
@kikyoyang I meet the same problem. I fix this by delete the cache data and rerun the experiments, which works for me!
cache data path: path_to_coco/img_resized_cache_train2017.array
please be aware of the following logs:
thanks, your answer is exactly for what I encountered. what if after I deleted it, it still ask to cache again?
During the training, AP is always 0. btw, I use the COCO datasets.
And I use this command, python tools/train.py -f exps/example/yolox_s.py -b 64 --fp16 -o
Average forward time: 1.82 ms, Average NMS time: 0.65 ms, Average inference time: 2.47 ms Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.000 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.000 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.001 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.001 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.002