The same picture gets different embedding when running python apps/example.py
Closed this issue · 3 comments
The same picture got different embeddings:
/home/ljzxb/Face/work/tf-insightface/tests/test.jpg
2019-06-13 16:16:39.309603: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3392255000 Hz
2019-06-13 16:16:39.310446: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0xe142230 executing computations on platform Host. Devices:
2019-06-13 16:16:39.310474: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): ,
[Base Server] Running inference...
512-D Features are
[array([[-1.31861782e+01, 4.17565298e+00, 3.12116261e+01,
root@ljzxb-To-be-filled-by-O-E-M:/home/ljzxb/Face/work/tf-insightface# python apps/example.py
/home/ljzxb/Face/work/tf-insightface/tests/test.jpg
2019-06-13 16:17:50.569635: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3392255000 Hz
2019-06-13 16:17:50.570395: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x16103f0 executing computations on platform Host. Devices:
2019-06-13 16:17:50.570429: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): ,
[Base Server] Running inference...
512-D Features are
[array([[ 15.215302 , 16.936035 , 43.160233 , 8.574103 ,
I have same question, do you solve it?
@sherwinkh I solve it, change argument dropout_rate from 0.5 to 1, which locate at example.py line 11
@StevenLei2017 Thank you for your information.