wehub-resource-sync
54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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# This source code is licensed under the license found in the
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# LICENSE file in the root directory of this source tree.
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import torch
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from functools import partial
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from segment_anything.modeling import ImageEncoderViT, MaskDecoder, PromptEncoder, Sam, TwoWayTransformer
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from RepViTSAM import repvit
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from timm.models import create_model
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def build_sam_repvit(checkpoint=None):
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prompt_embed_dim = 256
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image_size = 1024
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vit_patch_size = 16
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image_embedding_size = image_size // vit_patch_size
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repvit_sam = Sam(
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image_encoder=create_model('repvit'),
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prompt_encoder=PromptEncoder(
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embed_dim=prompt_embed_dim,
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image_embedding_size=(image_embedding_size, image_embedding_size),
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input_image_size=(image_size, image_size),
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mask_in_chans=16,
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),
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mask_decoder=MaskDecoder(
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num_multimask_outputs=3,
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transformer=TwoWayTransformer(
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depth=2,
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embedding_dim=prompt_embed_dim,
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mlp_dim=2048,
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num_heads=8,
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),
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transformer_dim=prompt_embed_dim,
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iou_head_depth=3,
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iou_head_hidden_dim=256,
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),
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pixel_mean=[123.675, 116.28, 103.53],
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pixel_std=[58.395, 57.12, 57.375],
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)
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repvit_sam.eval()
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if checkpoint is not None:
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with open(checkpoint, "rb") as f:
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state_dict = torch.load(f)
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repvit_sam.load_state_dict(state_dict)
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return repvit_sam
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from functools import partial
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sam_model_registry = {
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"repvit": partial(build_sam_repvit),
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}
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