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#! /bin/bash |
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GPU_ID=0 |
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DATA_ROOT_DIR="results" |
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DATASETS=( |
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davis_rearranged |
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) |
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SCENES=( |
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blackswan |
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camel |
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car-shadow |
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dog |
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horsejump-high |
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motocross-jump |
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parkour |
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soapbox |
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) |
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N_VIEWS=( |
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50 |
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50 |
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40 |
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50 |
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50 |
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40 |
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50 |
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50 |
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) |
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gs_train_iter=4000 |
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tag="rendering_all_frames" |
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for i in "${!SCENES[@]}"; do |
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for DATASET in "${DATASETS[@]}"; do |
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SCENE=${SCENES[$i]} |
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N_VIEW=${N_VIEWS[$i]} |
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SOURCE_PATH=${DATA_ROOT_DIR}/${DATASET}/${SCENE}/ |
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MODEL_PATH=${DATA_ROOT_DIR}/${DATASET}/${SCENE}/${tag}_${gs_train_iter}/ |
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CMD_T="CUDA_VISIBLE_DEVICES=${GPU_ID} python -W ignore ./train_gui.py \ |
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-s ${SOURCE_PATH} \ |
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-m ${MODEL_PATH} \ |
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--iter ${gs_train_iter} \ |
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--dataset davis \ |
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--gt_dynamic_mask data/davis/DAVIS/Annotations/480p \ |
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" |
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CMD_RI="CUDA_VISIBLE_DEVICES=${GPU_ID} python -W ignore ./render.py \ |
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-s ${SOURCE_PATH} \ |
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-m ${MODEL_PATH} \ |
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--n_views ${N_VIEW} \ |
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--scene ${SCENE} \ |
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--iter ${gs_train_iter} \ |
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--eval \ |
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--get_video \ |
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" |
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echo "========= ${DATASET}/${SCENE}: Train: jointly optimize pose with dynamic masking =========" |
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echo $CMD_T |
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eval $CMD_T |
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echo "========= ${DATASET}/${SCENE}: Render:Rendering Static Scene Reconstruction =========" |
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echo $CMD_RI |
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eval $CMD_RI |
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done |
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done |
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