Closed yanyanlimingkun closed 4 years ago
I tested the latest age and gender estimation model on my own private test set with the test script you gave, and found that the effect of age and gender estimation is poor, especially that gender estimation is easy to make mistakes. Have you ever tested it on private test videos? Can you tell me what the problem is?Could it be a problem with tensorflow version Can you provide your command? you should add "--white" as a params
I use a video of a child, but the result is in my twenties
my command is: python nets/test.py -g -vid -se -white I use this command to test, and the effect is still not good. can you provide your full command line. I will valid it~.
my command is: python nets/test.py -g -vid -se -white -m ./model/c3ae_model_v2_fp16_white_se_132_4.208622-0.973
I use a video of a child, but the result is in my twenties
if you want detect children, you'd better finetuning in "asia dataset" only. Because the distribution of utk and afad range from 18 to 100 and asia dataset range from 0~70.
OK, I'll do it. Thank you very much for your help
python nets/test.py -g -vid -se -white -m ./model/c3ae_model_v2_fp16_white_se_132_4.208622-0.973
Can you provide your pic to geekpeakspar@gmail.com. I will test it for you.
I have test many pic of children from baidu, it works normal. you should guarante pic that should be front face and size great than 64 * 64. If you want get a more accurate result, you should build your own dataset.
I tested the latest age and gender estimation model on my own private test set with the test script you gave, and found that the effect of age and gender estimation is poor, especially that gender estimation is easy to make mistakes. Have you ever tested it on private test videos? Can you tell me what the problem is?Could it be a problem with tensorflow version