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31 lines
1.7 KiB
Bash
Executable File
31 lines
1.7 KiB
Bash
Executable File
#!/bin/bash
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echo "Evaluation for linearization then nerf pipeline"
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root_dir=/mnt/data/nerfstudio_ds/real_data/Henry_Gagnon_blue_et_rouge
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dataset_dir=$root_dir/Henry_Gagnon_blue_et_rouge_ns/
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opensfm_dir=$root_dir/Henry_Gagnon_blue_et_rouge_openSFM
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opensfm_file=$opensfm_dir/reconstruction.json
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checkpoint_dir=outputs/Henry_Gagnon_blue_et_rouge_ns/lantern-nerfacto/2024-05-16_030223/
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output_dir=renders/Henry_Gagnon_blue_et_rouge_ns-nerfacto/nerf_then_linearization/2024-05-16_030223_output
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#echo "Creating the test set"
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#ns-process-data lantern-GT-HDR --data $dataset_dir --output-dir $dataset_dir --metadata $opensfm_file --checkpoint $checkpoint_dir
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#echo "Rendering for the well exposed"
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#ns-render camera-path --load-config $checkpoint_dir/config.yml --camera-path-filename $dataset_dir/GT_transforms.json --output-path $output_dir/well-expo/ --output-format images --image-format exr
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#echo "Rendering for the fast exposure"
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#ns-render camera-path --load-config $checkpoint_dir/config.yml --camera-path-filename $dataset_dir/GT_transforms.json --output-path $output_dir/fast-mu-law_compressed/ --output-format images --image-format exr --rendered_output_names rgb_fast
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echo "un-mu-law the fast exposure"
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#conda init bash
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conda activate everlight_new
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python lantern_scripts/un_mu_law.py --data_dir $output_dir/fast-mu-law_compressed/ --out_dir $output_dir/fast-expo/ --is_jpg
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echo "Combine two exposures"
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python lantern_scripts/combine.py --well_dir $output_dir/well-expo/ --fast_dir $output_dir/fast-expo/ --out_dir $output_dir/pano/ --experiment_location $root_dir
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conda activate nerfstudio-HDR
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blender --background lantern_scripts/scene_new.blend -P lantern_scripts/hdr_blender.py -- $output_dir/pano/ $output_dir/render/ |