# Airplane
# 1. Running AbstractRendering with the airplane_grey dataset
python nerf_forward_yolo.py \
    --dataname airplane_grey \
    --n_iters 300000 --input_type x \
    --testimgidx 500 --xyz_eps 3.5 --xyz_step 0.0003 --manual_focal_factor 3.0 \
    --tile_height 52 --tile_width 52
# 2. post prrocessing the results
python post_process_yolo.py \
    --dataname airplane_grey \
    --n_iters 300000 --input_type x \
    --testimgidx 500 --xyz_eps 3.5 --xyz_step 0.0003 --manual_focal_factor 3.0 \
    --tile_height 52 --tile_width 52 --conf_threshold 0.12
# Results are stored at yolo_results/x_airplane_grey_500_xyzeps3.5_xyzstep0.0003_focalfactor3.0

# Truck_america
python nerf_forward_yolo.py \
    --dataname truck_america \
    --n_iters 400000 --input_type z \
    --testimgidx 348 --xyz_eps 1.5 --xyz_step 0.0002 --manual_focal_factor 3.0 \
    --tile_height 52 --tile_width 52

python -m pdb post_process_yolo.py \
    --dataname truck_america \
    --n_iters 400000 --input_type z \
    --testimgidx 348 --xyz_eps 1.5 --xyz_step 0.0002 --manual_focal_factor 3.0 \
    --tile_height 52 --tile_width 52 --conf_threshold 0.12
