conda activate wildgaussian
cd Feat2GS/submodules/mast3r/

CUDA_VISIBLE_DEVICES=6 python3 demo.py \
    --weights checkpoints/MASt3R_ViTLarge_BaseDecoder_512_catmlpdpt_metric.pth \
    --local_network --server_port 7002 

 --model_name MASt3R_ViTLarge_BaseDecoder_512_catmlpdpt_metric

# Use --weights to load a checkpoint from a local file, eg --weights checkpoints/MASt3R_ViTLarge_BaseDecoder_512_catmlpdpt_metric.pth
# Use --local_network to make it accessible on the local network, or --server_name to specify the url manually
# Use --server_port to change the port, by default it will search for an available port starting at 7860
# Use --device to use a different device, by default it's "cuda"


CUDA_VISIBLE_DEVICES=7 python3 demo_dust3r_ga.py \
    --weights checkpoints/DUSt3R_ViTLarge_BaseDecoder_512_dpt.pth \
    --local_network --server_port 7003 \
    --tmp_dir /home/chenyue/tmp/temp/


--model_name DUSt3R_ViTLarge_BaseDecoder_512_dpt

# Use --weights to load a checkpoint from a local file, eg --weights checkpoints/DUSt3R_ViTLarge_BaseDecoder_512_dpt.pth
# Use --image_size to select the correct resolution for the selected checkpoint. 512 (default) or 224
# Use --local_network to make it accessible on the local network, or --server_name to specify the url manually
# Use --server_port to change the port, by default it will search for an available port starting at 7860
# Use --device to use a different device, by default it's "cuda"

python colmap_from_mast3r.py \
    --image_dir /home/chenyue/Feat2GS/data/casual/turtle/3_views/images \
    --save_dir /home/chenyue/Feat2GS/data/casual/turtle/3_views \
    --model_path /home/chenyue/Feat2GS/submodules/mast3r/checkpoints/MASt3R_ViTLarge_BaseDecoder_512_catmlpdpt_metric.pth