test_zeroshot_inference.sh

# evaluate zero-shot inference {RN50, RN50x4} x {COCO, LVIS} x {GT, RPN}

# RN50, GT, COCO
python3 ./tools/train_net.py \
--eval-only  \
--num-gpus 1 \
--config-file ./configs/COCO-InstanceSegmentation/CLIP_fast_rcnn_R_50_C4_ovd_zsinf.yaml \
MODEL.WEIGHTS ./pretrained_ckpt/regionclip/regionclip_pretrained-cc_rn50.pth \
MODEL.CLIP.TEXT_EMB_PATH ./pretrained_ckpt/concept_emb/coco_65_cls_emb.pth \
MODEL.CLIP.CROP_REGION_TYPE GT \
MODEL.CLIP.MULTIPLY_RPN_SCORE False \

# # RN50, RPN, COCO
# python3 ./tools/train_net.py \
# --eval-only  \
# --num-gpus 1 \
# --config-file ./configs/COCO-InstanceSegmentation/CLIP_fast_rcnn_R_50_C4_ovd_zsinf.yaml \
# MODEL.WEIGHTS ./pretrained_ckpt/regionclip/regionclip_pretrained-cc_rn50.pth \
# MODEL.CLIP.TEXT_EMB_PATH ./pretrained_ckpt/concept_emb/coco_65_cls_emb.pth \
# MODEL.CLIP.CROP_REGION_TYPE RPN \
# MODEL.CLIP.MULTIPLY_RPN_SCORE True \
# MODEL.CLIP.OFFLINE_RPN_CONFIG ./configs/LVISv1-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml \
# MODEL.CLIP.BB_RPN_WEIGHTS ./pretrained_ckpt/rpn/rpn_lvis_866.pth \


# # RN50, GT, LVIS
# python3 ./tools/train_net.py \
# --eval-only  \
# --num-gpus 1 \
# --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.TEXT_EMB_PATH ./pretrained_ckpt/concept_emb/lvis_1203_cls_emb.pth \
# MODEL.CLIP.CROP_REGION_TYPE GT \
# MODEL.CLIP.MULTIPLY_RPN_SCORE False \
# MODEL.ROI_HEADS.SCORE_THRESH_TEST 0.0001 \

# # RN50, RPN, LVIS
# python3 ./tools/train_net.py \
# --eval-only  \
# --num-gpus 1 \
# --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.TEXT_EMB_PATH ./pretrained_ckpt/concept_emb/lvis_1203_cls_emb.pth \
# MODEL.CLIP.CROP_REGION_TYPE RPN \
# MODEL.CLIP.MULTIPLY_RPN_SCORE True \
# MODEL.CLIP.OFFLINE_RPN_CONFIG ./configs/LVISv1-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml \
# MODEL.CLIP.BB_RPN_WEIGHTS ./pretrained_ckpt/rpn/rpn_lvis_866.pth \



# # RN50x4, GT, COCO
# python3 ./tools/train_net.py \
# --eval-only  \
# --num-gpus 1 \
# --config-file ./configs/COCO-InstanceSegmentation/CLIP_fast_rcnn_R_50_C4_ovd_zsinf.yaml \
# MODEL.WEIGHTS ./pretrained_ckpt/regionclip/regionclip_pretrained-cc_rn50x4.pth \
# MODEL.CLIP.TEXT_EMB_PATH ./pretrained_ckpt/concept_emb/coco_65_cls_emb_rn50x4.pth \
# MODEL.CLIP.CROP_REGION_TYPE GT \
# MODEL.CLIP.MULTIPLY_RPN_SCORE False \
# MODEL.CLIP.TEXT_EMB_DIM 640 \
# MODEL.RESNETS.DEPTH 200 \
# MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION 18 \

# # RN50x4, RPN, COCO
# python3 ./tools/train_net.py \
# --eval-only  \
# --num-gpus 1 \
# --config-file ./configs/COCO-InstanceSegmentation/CLIP_fast_rcnn_R_50_C4_ovd_zsinf.yaml \
# MODEL.WEIGHTS ./pretrained_ckpt/regionclip/regionclip_pretrained-cc_rn50x4.pth \
# MODEL.CLIP.TEXT_EMB_PATH ./pretrained_ckpt/concept_emb/coco_65_cls_emb_rn50x4.pth \
# MODEL.CLIP.CROP_REGION_TYPE RPN \
# MODEL.CLIP.MULTIPLY_RPN_SCORE True \
# MODEL.CLIP.OFFLINE_RPN_CONFIG ./configs/LVISv1-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml \
# MODEL.CLIP.BB_RPN_WEIGHTS ./pretrained_ckpt/rpn/rpn_lvis_866.pth \
# MODEL.CLIP.TEXT_EMB_DIM 640 \
# MODEL.RESNETS.DEPTH 200 \
# MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION 18 \


# # RN50x4, GT, LVIS
# python3 ./tools/train_net.py \
# --eval-only  \
# --num-gpus 1 \
# --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_PATH ./pretrained_ckpt/concept_emb/lvis_1203_cls_emb_rn50x4.pth \
# MODEL.CLIP.CROP_REGION_TYPE GT \
# MODEL.CLIP.MULTIPLY_RPN_SCORE False \
# MODEL.ROI_HEADS.SCORE_THRESH_TEST 0.0001 \
# MODEL.CLIP.TEXT_EMB_DIM 640 \
# MODEL.RESNETS.DEPTH 200 \
# MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION 18 \

# # RN50x4, RPN, LVIS
# python3 ./tools/train_net.py \
# --eval-only  \
# --num-gpus 1 \
# --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_PATH ./pretrained_ckpt/concept_emb/lvis_1203_cls_emb_rn50x4.pth \
# MODEL.CLIP.CROP_REGION_TYPE RPN \
# MODEL.CLIP.MULTIPLY_RPN_SCORE True \
# MODEL.CLIP.OFFLINE_RPN_CONFIG ./configs/LVISv1-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml \
# MODEL.CLIP.BB_RPN_WEIGHTS ./pretrained_ckpt/rpn/rpn_lvis_866.pth \
# MODEL.CLIP.TEXT_EMB_DIM 640 \
# MODEL.RESNETS.DEPTH 200 \
# MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION 18 \