I got so low rank1

[jinyl777]

Firstly, thanks for the work and sorry for my low knowledge.
i down the teach model and train the DGnet 100000 Times，but the source was so low ，has any met it and do you give me some suggest

[layumi]

Hi @jinyl777 ,
Thanks for your attention on our work. How about your results? Do you conduct the traditional re-ID evaluation or transfer learning between the datasets?
Could you show me more details? So I could help you to debug the result.

[jinyl777]

I am honored that you can reply to me, I download the teach model according to the readme, then python train.py --config configs/latest.yaml then test and envlution but got zhe rank1 is 0.001
and then if iwant to train my own data ，what should i do . if you can teach me i weill be honored

[layumi]

@jinyl777
First of all, would you like to evaluate the trained model? Does the trained model achieve the accurate performance?

[jinyl777]

yes，frist i want trian in my computer and evaluate it , then trian myself dataset

[layumi]

@jinyl777
I mean you may directly use my trained model first. https://github.com/NVlabs/DG-Net#testing

[jinyl777]

thank you very match , i use this modle i got the nice sorce . if i want to use it to my detaset ，do I have to train my own teach model

[layumi]

Okay. Could you show me your loss curves or some logs? Does the generated image look good?

[jinyl777]

Because I am still recreating your results, so my data set has not been tested, I will tell you after the test. thanks very math

[jinyl777]

Hi, I used your code to train the generated image to work well, but loss is not converging.
Epoch: 12 Iteration: 00083796/00100000 DLoss: 2.9820 Reg: 0.0055
L_total: 54.3989, L_gan: 3.0339, Lx: 0.7561, Lxp: 0.7570, Lrecycle:0.3373, Lf: 0.9595, Ls: 0.2201, Recon-id: 7.1530, id: 20.2080, pid:14.4382, teacher: 6.5358
Elapsed time in update: 2.197724

[layumi]

HI @jinyl777 ,
You may modify the re-id learning rate. Try small learning rate.