Grounded-Diffusion
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how to evaluate the checkpoint after train?
I follow the readme use python train.py --class_split 1 --train_data random --save_name pascal_1_random ' to train the model and generate the checkpoints;now how to evaluate them? I dont find the evalution code in you project.