-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathtoothbrush.log
22 lines (22 loc) · 2.01 KB
/
toothbrush.log
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
/home/aistudio/PaDiM-Paddle
W0418 23:01:01.799858 25015 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W0418 23:01:01.804762 25015 device_context.cc:465] device: 0, cuDNN Version: 7.6.
Training model for toothbrush
2022-04-18 23:01:08 Epoch 0[1/2]: loss:0.00000, lr:0.00000, batch time:0.0580, data time:1.8082
2022-04-18 23:01:12 Train ends, total 0.00s
2022-04-18 23:01:12 Saving model...
2022-04-18 23:01:13 Save model in ./output/toothbrush/best.pdparams
2022-04-18 23:01:13 Starting eval model...
| feature extraction | test | toothbrush |: 100%|█| 2/2 [00:02<00:00, 1.54s/it]
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/cbook/__init__.py:2349: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if isinstance(obj, collections.Iterator):
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/colors.py:101: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead
ret = np.asscalar(ex)
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/cbook/__init__.py:2366: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
return list(data) if isinstance(data, collections.MappingView) else data
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/image.py:425: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead
a_min = np.asscalar(a_min.astype(scaled_dtype))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/image.py:426: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead
a_max = np.asscalar(a_max.astype(scaled_dtype))
2022-04-18 23:01:59 Class:toothbrush: Image AUC: 0.992
2022-04-18 23:01:59 Class:toothbrush: Pixel AUC: 0.986