P10-AR-Privacy

YOLO Configuration

Update dataset directory

yolo settings datasets_dir="C:\Programming\Uni\P10-AR-Privacy\datasets"

Training

python ./train.py

Dataset utilities

Count annotations for every subfolder

Used for the paper when we display number of annotations in the dataset table.

total=0
while IFS= read -r -d '' f; do
n=$(awk 'END{print NR}' "$f")
printf '%s %s\n' "$n" "$f"
total=$((total + n))
done < <(find . -type f -print0)
printf 'TOTAL %s\n' "$total"

Download all datasets

python ./dataset_downloaders/download_all.py

Server commands

The ucloud GPU server is where we perform training

Copy a model to your local machine

scp -P <PORT> ucloud@ssh.cloud.sdu.dk:/work/P10-AR-Privacy/runs/detect/<TRAIN_NO>/weights/best.pt <LOCAL_PATH>

Parameters:

• <PORT> — SSH port (e.g. 2699)
• <TRAIN_NO> — training run folder (e.g. train5)
• <LOCAL_PATH> — local destination path (e.g. C:\Users\Frederik\Downloads\)