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000-000-00616f328a8b4b5a8e689f61e70758b6-000/mono/dr1.0_thr0.01_vmax_contrib/commandline_args2025-09-22-011005.txt

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+graph_model_preprocessing5.py --seq_name 000-000-00616f328a8b4b5a8e689f61e70758b6-000 --func_name main1 --dataset_name objaverse --depth_ratio 1.0 --threshold_min_set 0.01 --version_key_edges max_contrib --log_subfolder objaverse_fit_native_add3

000-000-00616f328a8b4b5a8e689f61e70758b6-000/mono/dr1.0_thr0.01_vmax_contrib/commandline_args2025-09-22-011154.txt

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+graph_model_preprocessing5.py --seq_name 000-000-00616f328a8b4b5a8e689f61e70758b6-000 --func_name main23 --dataset_name objaverse --depth_ratio 1.0 --threshold_min_set 0.01 --version_key_edges max_contrib --log_subfolder objaverse_fit_native_add3

000-000-00616f328a8b4b5a8e689f61e70758b6-000/mono/dr1.0_thr0.01_vmax_contrib/execution_times.txt

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+Function Execution Times
+========================
+
+photometric_reconstruct_from_pretrained: 1755.3891 seconds
+
+Total execution time: 1755.3891 seconds

000-000-00616f328a8b4b5a8e689f61e70758b6-000/mono/dr1.0_thr0.01_vmax_contrib/saved_ugraph_model/step_1599/fps_eval.txt

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+FPS:  170.3734385564

000-000-00616f328a8b4b5a8e689f61e70758b6-000/mono/dr1.0_thr0.01_vmax_contrib/src_backup/run_preprocessing.sh

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+#!/bin/bash
+
+gpu_id=3
+dataset_name=iphone
+        
+# 'backpack_' 'haru-sit_' 'paper-windmill'
+seq_names=('paper-windmill' 'block'  'teddy'  'wheel' 'apple' 'spin' 'space-out')
+# seq_names=('teddy'  'wheel')
+# seq_names=('spin' 'space-out')
+# seq_names=('paper-windmill')
+# seq_names=('block')
+# seq_names=('haru-sit_' 'handwavy_'  'mochi-high-five_' 'sriracha-tree_'  'creeper_'  'pillow_')
+# seq_names=('haru-sit_') # 'backpack_' 
+
+depth_ratio=0.1
+# threshold_min_set=0.1 # 0.1 paper-windmill # 0.5 others
+threshold_min_set_dict=(
+    ["paper-windmill"]=0.1
+    ["teddy"]=0.5
+    ["wheel"]=0.5
+    ["apple"]=0.5
+    ["spin"]=0.5
+    ["space-out"]=0.5
+    ["haru-sit_"]=0.5
+    ["handwavy_"]=0.5
+    ["mochi-high-five_"]=0.5
+    ["sriracha-tree_"]=0.5
+    ["creeper_"]=0.5
+    ["pillow_"]=0.5
+)
+version_key_edges=max_contrib # max_contrib minmax_distance_contrib max_native
+ratio_key=0.02 # default -1
+extra_save_str=_ab_key_ratio_$ratio_key #2
+
+# Loop and print each name
+for seq_name in "${seq_names[@]}"
+do
+    echo "${seq_name}"
+done
+
+# Loop over each sequence
+for seq_name in "${seq_names[@]}"
+do
+    echo "Starting training for ${seq_name}"
+
+    threshold_min_set=${threshold_min_set_dict[$seq_name]}
+
+    CUDA_VISIBLE_DEVICES=$gpu_id python graph_model_preprocessing5.py \
+        --seq_name $seq_name \
+        --func_name main1 \
+        --dataset_name $dataset_name \
+        --depth_ratio $depth_ratio \
+        --threshold_min_set $threshold_min_set \
+        --version_key_edges $version_key_edges \
+        --extra_save_str $extra_save_str # comment if no extra_save_str
+    CUDA_VISIBLE_DEVICES=$gpu_id python graph_model_preprocessing5.py \
+        --seq_name $seq_name \
+        --func_name main23 \
+        --dataset_name $dataset_name \
+        --depth_ratio $depth_ratio \
+        --threshold_min_set $threshold_min_set \
+        --version_key_edges $version_key_edges \
+        --extra_save_str $extra_save_str \
+        --ratio_key $ratio_key # ablation study
+
+    echo "Finished training for ${seq_name}"
+    echo "*****************************************"
+    echo "*****************************************"
+done
+
+
+
+
+
+
+# gpu_id=2
+# dataset_name=davis
+# seq_names=('camel' 'car-turn' 'drift-straight' 'helicopter' 'mbike-santa' 'koala' 'parkour' 'sheep' 'soccerball' 'schoolgirls') #  'bear' 'rhino'
+# # seq_names=('camel' 'train' 'car-roundabout' 'car-turn' 'bike-packing' 'drift-straight' 'helicopter' 'breakdance' 'breakdance-flare' 'crossing' 'dance-twirl' 'koala' 'mbike-santa' 'parkour' 'pigs' 'rhino' 'schoolgirls' 'sheep' 'soccerball' 'swing' 'bear')
+# # seq_names=('train' 'car-roundabout' 'bike-packing' 'breakdance' 'breakdance-flare' 'crossing' 'dance-twirl' 'koala' 'parkour' 'pigs' 'schoolgirls' 'sheep' 'soccerball' 'swing')
+
+# depth_ratio=0.001 # 0.1
+# threshold_min_set=0.1 # 0.5
+# version_key_edges=minmax_distance_contrib # max_contrib minmax_distance_contrib
+
+# # Loop and print each name
+# for seq_name in "${seq_names[@]}"
+# do
+#     echo "${seq_name}"
+# done
+
+# # Loop over each sequence
+# for seq_name in "${seq_names[@]}"
+# do
+#     echo "Starting training for ${seq_name}"
+
+#     CUDA_VISIBLE_DEVICES=$gpu_id python graph_model_preprocessing5.py \
+#         --seq_name $seq_name \
+#         --func_name main1 \
+#         --dataset_name $dataset_name \
+#         --depth_ratio $depth_ratio \
+#         --threshold_min_set $threshold_min_set \
+#         --version_key_edges $version_key_edges
+#     CUDA_VISIBLE_DEVICES=$gpu_id python graph_model_preprocessing5.py \
+#         --seq_name $seq_name \
+#         --func_name main23 \
+#         --dataset_name $dataset_name \
+#         --depth_ratio $depth_ratio \
+#         --threshold_min_set $threshold_min_set \
+#         --version_key_edges $version_key_edges
+
+#     echo "Finished training for ${seq_name}"
+#     echo "*****************************************"
+#     echo "*****************************************"
+# done
+
+
+
+# gpu_id=1
+# dataset_name=nvidia
+        
+# # seq_names=('Balloon1'  'Balloon2'  'Jumping'  'Playground'  'Skating'  'Truck'  'Umbrella') #  
+# # seq_names=('Balloon1'  'Jumping'  'Truck' ) #   'Umbrella'
+# seq_names=('Balloon2'  'Playground'  'Skating')
+
+# depth_ratio=0.1
+# threshold_min_set=0.01 # 0.5
+# version_key_edges=minmax_distance_contrib # max_contrib minmax_distance_contrib
+
+# # Loop and print each name
+# for seq_name in "${seq_names[@]}"
+# do
+#     echo "${seq_name}"
+# done
+
+# # Loop over each sequence
+# for seq_name in "${seq_names[@]}"
+# do
+#     echo "Starting training for ${seq_name}"
+
+#     CUDA_VISIBLE_DEVICES=$gpu_id python graph_model_preprocessing5.py \
+#         --seq_name $seq_name \
+#         --func_name main1 \
+#         --dataset_name $dataset_name \
+#         --depth_ratio $depth_ratio \
+#         --threshold_min_set $threshold_min_set \
+#         --version_key_edges $version_key_edges
+#     CUDA_VISIBLE_DEVICES=$gpu_id python graph_model_preprocessing5.py \
+#         --seq_name $seq_name \
+#         --func_name main23 \
+#         --dataset_name $dataset_name \
+#         --depth_ratio $depth_ratio \
+#         --threshold_min_set $threshold_min_set \
+#         --version_key_edges $version_key_edges
+
+#     echo "Finished training for ${seq_name}"
+#     echo "*****************************************"
+#     echo "*****************************************"
+# done