init project
Browse files- modules/pe3r/models.py +2 -2
modules/pe3r/models.py
CHANGED
@@ -5,7 +5,7 @@ sys.path.append(os.path.abspath('./modules/ultralytics'))
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from transformers import AutoTokenizer, AutoModel, AutoProcessor
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from modules.mast3r.model import AsymmetricMASt3R
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from modules.sam2.build_sam import build_sam2_video_predictor
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from modules.mobilesamv2.promt_mobilesamv2 import ObjectAwareModel
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from modules.mobilesamv2 import sam_model_registry
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@@ -24,7 +24,7 @@ class Models:
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# SAM2_CONFIG = "./configs/sam2.1/sam2.1_hiera_l.yaml"
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# self.sam2 = build_sam2_video_predictor(SAM2_CONFIG, SAM2_CKP, device=device, apply_postprocessing=False)
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# self.sam2.eval()
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self.sam2 = SAM2VideoPredictor.from_pretrained('facebook/sam2.1-hiera-large')
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# -- mobilesamv2 & sam1 --
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# SAM1_ENCODER_CKP = './checkpoints/sam_vit_h.pt'
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from transformers import AutoTokenizer, AutoModel, AutoProcessor
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from modules.mast3r.model import AsymmetricMASt3R
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# from modules.sam2.build_sam import build_sam2_video_predictor
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from modules.mobilesamv2.promt_mobilesamv2 import ObjectAwareModel
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from modules.mobilesamv2 import sam_model_registry
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# SAM2_CONFIG = "./configs/sam2.1/sam2.1_hiera_l.yaml"
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# self.sam2 = build_sam2_video_predictor(SAM2_CONFIG, SAM2_CKP, device=device, apply_postprocessing=False)
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# self.sam2.eval()
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self.sam2 = SAM2VideoPredictor.from_pretrained('facebook/sam2.1-hiera-large', device=device)
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# -- mobilesamv2 & sam1 --
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# SAM1_ENCODER_CKP = './checkpoints/sam_vit_h.pt'
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