could you explain how to train this network with a custom dataset? about da_detection HOT 6 CLOSED

The main code you would need to modify is under the ./lib/datasets folder. In that folder, you can copy one of the {KITTI, bdd100k, cityscapes} code and change according to your needs. Afterward, you would need to add that dataset into ./lib/datasets/factory.py and give it a name. Then you should be able to specify your dataset in one of the scripts in ./experiments/scripts. These are the major changes to get your dataset up and running.

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The main code you would need to modify is under the ./lib/datasets folder. In that folder, you can copy one of the {KITTI, bdd100k, cityscapes} code and change according to your needs. Afterward, you would need to add that dataset into ./lib/datasets/factory.py and give it a name. Then you should be able to specify your dataset in one of the scripts in ./experiments/scripts. These are the major changes to get your dataset up and running.

Which pre-trained weights will be used to customize the data set in the first phase of the training network? If you can reply, thank you very much.

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Which pre-trained weights will be used to customize the data set in the first phase of the training network? If you can reply, thank you very much.

Hi @life97, have you figured this out?

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According to the author's process, the model can be run through. I used this model to train the network on a custom domain-adapted scene dataset. The network training is divided into two stages, the first stage is the source domain to the intermediate domain, and the second stage is the intermediate domain to the target domain. The CycleGAN is jointly trained by the source domain and the target domain to synthesize the intermediate domain images, and the weights of the intermediate domain images are the discriminator outputs of the trained CycleGAN. It's been a long time, I probably remember it like this, I hope it helps you.

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@life97 thank you for your reply. I have generated my custom dataset from PyTorch CycleGAN, but still couldnt understand which pre-trained weights to use with it. Would it be the weights from CycleGAN?

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@life97 thank you for your reply. I have generated my custom dataset from PyTorch CycleGAN, but still couldnt understand which pre-trained weights to use with it. Would it be the weights from CycleGAN?

Step 1: Modify the return value of the discriminator in H:\19xyy\project\DA_detection-master\PyTorch-CycleGAN\models.py: (change from line 92 to line 93)

Step 2: Modify test.py as needed

Mainly modify PyTorch-CycleGAN: datasets.py and test.py
I changed it like this, the general idea is this, I'm not sure if this is right, you can try~
If there are any mistakes, please correct me, I hope it helps you~

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