commands2

vre_dronescapes/commands.md

@@ -77,7 +77,26 @@ tmux new -s sheerness
 VRE_DEVICE=cuda CUDA_VISIBLE_DEVICES=0 vre ../raw_data/videos/new_videos/sheerness_youtube_1_540p.mp4 -o sheerness_youtube_1_540p/ --config_path cfg.yaml --output_dir_exists_mode skip_computed --exception_mode skip_representation --n_threads_data_storer 4 -I ../scripts/semantic_mapper/semantic_mapper.py:get_new_semantic_mapped_tasks
 ```
 
+### Add the output tasks derived from existing ones and global statistics
 
+```bash
+dirs=(
+    norway_DJI_0708_540p
+    politehnica_DJI_0741_a2_540p
+    ovaselu_DJI_0372_540p
+    raciu_DJI_0418_540p
+    sanfrancisco_youtube_1_540p
+    paris_youtube_1_540p
+    riodejaneiro_youtube_1_540p
+    sheerness_youtube_1_540p
+)
+for line in ${dirs[@]}; do
+    echo $line
+    cp -r $line/depth_marigold $line/depth_output
+    ../scripts/update_stastistics.py $line/depth_output/npz --statistics_file ../data/train_set/.task_statistics.npz --source_task depth_marigold --n_workers 32
+    cp -r $line/'normals_svd(depth_marigold)' $line/camera_normals_output
+done
+```
 
 ### Incldue the new videos in the txt files for training
 
@@ -85,7 +104,24 @@ This will make combined txt file of all new scenes + old data in vre_dronescapes
 
 ```bash
 mkdir ../scripts/txt_files/experts # in root dir
-ls . | grep "norway_DJI_0708_540p\|politehnica_DJI_0741_a2_540p\|ovaselu_DJI_0372_540p\|raciu_DJI_0418_540p\|sanfrancisco_youtube_1_540p\|paris_youtube_1_540p\|riodejaneiro_youtube_1_540p\|sheerness_youtube_1_540p" | while read line; do rm -f ../scripts/txt_files/experts/"$line".txt; ls -v $line/rgb/npz | while read line2; do stem=${line2:0:-4}; echo $line/$stem >> ../scripts/txt_files/experts/"$line".txt; done; done
+dirs=(
+    norway_DJI_0708_540p
+    politehnica_DJI_0741_a2_540p
+    ovaselu_DJI_0372_540p
+    raciu_DJI_0418_540p
+    sanfrancisco_youtube_1_540p
+    paris_youtube_1_540p
+    riodejaneiro_youtube_1_540p
+    sheerness_youtube_1_540p
+)
+for line in ${dirs[@]}; do
+    rm -f ../scripts/txt_files/experts/"$line".txt;
+    ls -v $line/rgb/npz | while read line2; do
+        stem=${line2:0:-4};
+        echo $line/$stem >> ../scripts/txt_files/experts/"$line".txt;
+    done;
+done
+
 cd ../scripts/txt_files/experts # move to txt files dir
 cat ../annotated_and_segprop/train_files_11664.txt > train_set.txt
 cat ../annotated_and_segprop/semisup_files_11299.txt >> train_set.txt
@@ -144,3 +180,35 @@ for line in ${dirs[@]}; do
     cp -r $line/'normals_svd(depth_marigold)' $line/camera_normals_output
 done
 ```
+
+### Incldue the new videos in the txt files for training
+
+This will make combined txt file of all new scenes + old data in vre_dronescapes_dir
+
+```bash
+mkdir ../scripts/txt_files/experts2 # in root dir
+dirs=(
+    castelulcorvinilor_DJI_20230915122046_0040_D_540p
+    comana_DJI_20240721134505_0029_D_540p
+    herculane_DJI_20240807121925_0049_D_540p
+    horezeu_DJI_20240924171535_0059_D_540p
+    olanesti_DJI_20240924125710_0005_D_540p
+    pietrosa_DJI_20240603132329_0021_D_540p
+    slanic_DJI_20240604124727_0023_D_540p
+    voronet_DJI_20230918122921_0102_D_540p
+)
+for line in ${dirs[@]}; do
+    rm -f ../scripts/txt_files/experts2/"$line".txt;
+    ls -v $line/rgb/npz | while read line2; do
+        stem=${line2:0:-4};
+        echo $line/$stem >> ../scripts/txt_files/experts2/"$line".txt;
+    done;
+done
+
+cd ../scripts/txt_files/experts2 # move to txt files dir
+cat ../experts/train_set.txt > train_set.txt
+ls | grep -v train_set | while read line; do cat $line >> train_set.txt; done
+echo "The new train set has $(cat train_set.txt | wc -l) data points across all experts."
+cd ../../../ # root dir
+python scripts/symlinks_from_txt_list.py vre_dronescapes/ --txt_file scripts/txt_files/experts2/train_set.txt -o data/train_set_experts2
+```