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Browse files- scripts/inference_wild.sh +0 -25
scripts/inference_wild.sh
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# A reimplemented version in public environments by Xiao Fu and Mu Hu
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inference_single_image(){
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input_dir=""
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output_dir="output"
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pretrained_model_path="JUGGHM/temp_repo/geowizard_weights_and_reimplemented_codes/weights/cfg/unet_ema"
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domain="outdoor"
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ensemble_size=1
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denoise_size=10
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cd ..
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cd run
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CUDA_VISIBLE_DEVICES=0 python run_inference_wild_clip_cfg.py \
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--input_dir $input_dir \
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--output_dir $output_dir \
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--pretrained_model_path $pretrained_model_path \
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--ensemble_size $ensemble_size \
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--denoise_steps $denoise_size \
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--domain $domain
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}
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inference_single_image
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