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Poor inference results on own dataset

Open gaishi7 opened this issue 7 months ago • 4 comments

0b67ab49e96604b3e99fc949991133e 4369556c30c7ec5a744e15abe324004 db3289873aea61e95f9cf672bd667db Hello, when training on my own dataset and using the command python scripts/inference.py --func inference_inpainting --name OUTPUT/cvpr2022_transformer_ffhq/checkpoint/last.pth --input_res 256,256 --num_token_per_iter 100 --num_token_for_sampling 300 --num_replicate 1 --image_dir data/1 --mask_dir irregular-mask/2 --save_masked_image --save_dir out_images/cvpr2022_transformer_ffhq --num_sample 1 --gpu 0, the inference results are very poor. How can this be resolved?

gaishi7 avatar Jun 29 '24 02:06 gaishi7