- Parameters
-e
: conda environment-t
: target folder to evaluate from the crowdbot dataset
- Example
bash data_export_eval_all.sh -e=py38cuda110 -t=1203_test
chmod +x data_export_eval_all.sh
./data_export_eval_all.sh -e=py38cuda110 -t=1203_test
Scripts/Included functions | extract_lidar | source data to npy | algorithm | eval_qolo_path | eval_qolo | eval_crowd |
---|---|---|---|---|---|---|
eval_all.sh |
✔️ | ✔️ | ✔️ | |||
export_all.sh |
✔️ | ✔️ | ||||
export_eval_qolo.sh |
✔️ | ✔️ | ✔️ | ✔️ | ||
export_eval_all.sh |
✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
PS: for eval_all.sh
, lidar and corresponding time stamps is required, and this script aims to update extracted source data and evaluation results.