Problems with generated images about gcl HOT 6 CLOSED

I added trainer.module.save(checkpoint_directory, iterations) in Line 319 of main.py so that you can store weights of stage 3.

You got the correct ReID results, but not generation results. It seems to me that something is wrong in generate_data.py. I will rerun the code to figure out the problem.

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Another question: Did you also get bad quality images in Tensorboard by runningtensorboard --logdir logs/market_init_JVTC_unsupervised/
?

from gcl.

Another question: Did you also get bad quality images in Tensorboard by runningtensorboard --logdir logs/market_init_JVTC_unsupervised/
?

Actually I tried to use the tensorboard, but I was using ssh remote server and docker. I am now trying to make tensorboard work, but I'm still working on it.
-> I could not see the results of your tensorboard yet. So, I was trying to save the results in the folder by using examples/generate_data.py!

Actually I couldn't resume the model.best.pth weights(which is the Best Re-ID result) into the model in examples/generate_data.py.
So, do I only need to load the the best Re-ID result weights of id_net.pt, generator.pt and discrimminator.pt by using your code ?
model_1 = create_model(args)
trainer = DGNet_Trainer(config, model_1, args.idnet_fix).cuda()
iterations = trainer.resume(checkpoint_path, hyperparameters=config)

It seems to me that something is wrong in generate_data.py. I will rerun the code to figure out the problem.
-> Thank you so much.

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Actually, this is the image saved during training in stage3 when re-ID score is the best. It seems okay. I think the problem in examples/generate_data.py, the meshes are not properly brought in with the original images.

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Yes, you are right. It was the problem of incoherent data-dir and mesh-dir format in Line 240 of generate_data.py. I just updated them. Please use the new generate_data.py.

For reconstruction, use python examples/generate_data.py --mode recon
For new views, use python examples/generate_data.py --mode nv --degree 45 (degree could be 45, 90, 135, 180, 225, 270, 315)

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Thank you. It is now working!

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