How to continue training using last saved weights?

[MuhammadAsadJaved]

Hi ,
I have trained a pix2pix model on custom dataset for 200 epochs and tested it but the generated images are not very good. can you give me some suggestion to increase the performance?
1-I have trained model on 512 x 512 visual images to generate infrared images using paired images.
2- How can I continue the training from last stored weights? Do you think the performance will increase if i train this model more ? i.e for 1000 epoch.
3-Please see attached input and output examples generated with trained model.
3- Any other suggestions to enhance the quality of output?

[MuhammadAsadJaved]

There is an argument in the pix2pix.py "--checkpoint". we can resume the training from the last saved weights using it. For example.

python3 pix2pix.py --mode train --output_dir FlirKaist_train --checkpoint FlirKaist_train --max_epochs 1000 --input_dir Data/combined/train --which_direction BtoA