extract_concept_features.sh

# Extract concept features for a list of concepts

# RN50 concept embeddings
python3 ./tools/extract_concept_features.py \
--config-file ./configs/LVISv1-InstanceSegmentation/CLIP_fast_rcnn_R_50_C4_zsinf.yaml \
MODEL.WEIGHTS ./pretrained_ckpt/regionclip/regionclip_pretrained-cc_rn50.pth \
MODEL.CLIP.OFFLINE_RPN_CONFIG ./configs/LVISv1-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml \
INPUT_DIR ./datasets/custom_concepts \
OUTPUT_DIR ./output/concept_feats \
MODEL.CLIP.GET_CONCEPT_EMB True \

# RN50x4 concept embeddings
# python3 ./tools/extract_concept_features.py \
# --config-file ./configs/LVISv1-InstanceSegmentation/CLIP_fast_rcnn_R_50_C4_zsinf.yaml \
# MODEL.WEIGHTS ./pretrained_ckpt/regionclip/regionclip_pretrained-cc_rn50x4.pth \
# MODEL.CLIP.TEXT_EMB_DIM 640 \
# MODEL.RESNETS.DEPTH 200 \
# MODEL.CLIP.OFFLINE_RPN_CONFIG ./configs/LVISv1-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml \
# INPUT_DIR ./datasets/custom_concepts \
# OUTPUT_DIR ./output/concept_feats \
# MODEL.CLIP.GET_CONCEPT_EMB True \