单目3D初始代码
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zhao.zhu
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docs/en/reference/models/sam/modules/blocks.md
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docs/en/reference/models/sam/modules/blocks.md
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description: Explore detailed documentation of various SAM and SAM 2 modules such as MaskDownSampler, CXBlock, and more, available in Ultralytics' repository.
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keywords: Ultralytics, SAM encoder, SAM 2 encoder, DropPath, MaskDownSampler, CXBlock, Fuser, TwoWayTransformer, TwoWayAttentionBlock, RoPEAttention, MultiScaleAttention, MultiScaleBlock, PositionEmbeddingSine, do_pool
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# Reference for `ultralytics/models/sam/modules/blocks.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/blocks.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/blocks.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
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## ::: ultralytics.models.sam.modules.blocks.DropPath
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## ::: ultralytics.models.sam.modules.blocks.MaskDownSampler
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## ::: ultralytics.models.sam.modules.blocks.CXBlock
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## ::: ultralytics.models.sam.modules.blocks.Fuser
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## ::: ultralytics.models.sam.modules.blocks.SAM2TwoWayAttentionBlock
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## ::: ultralytics.models.sam.modules.blocks.SAM2TwoWayTransformer
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## ::: ultralytics.models.sam.modules.blocks.RoPEAttention
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## ::: ultralytics.models.sam.modules.blocks.MultiScaleAttention
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## ::: ultralytics.models.sam.modules.blocks.MultiScaleBlock
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## ::: ultralytics.models.sam.modules.blocks.PositionEmbeddingSine
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## ::: ultralytics.models.sam.modules.blocks.PositionEmbeddingRandom
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## ::: ultralytics.models.sam.modules.blocks.Block
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## ::: ultralytics.models.sam.modules.blocks.REAttention
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## ::: ultralytics.models.sam.modules.blocks.PatchEmbed
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## ::: ultralytics.models.sam.modules.blocks.do_pool
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docs/en/reference/models/sam/modules/decoders.md
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docs/en/reference/models/sam/modules/decoders.md
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description: Explore the MaskDecoder and MLP modules in Ultralytics for efficient mask prediction using transformer architecture. Detailed attributes, functionalities, and implementation.
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keywords: Ultralytics, MaskDecoder, MLP, machine learning, transformer architecture, mask prediction, neural networks, PyTorch modules
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# Reference for `ultralytics/models/sam/modules/decoders.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/decoders.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/decoders.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
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## ::: ultralytics.models.sam.modules.decoders.MaskDecoder
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## ::: ultralytics.models.sam.modules.decoders.SAM2MaskDecoder
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docs/en/reference/models/sam/modules/encoders.md
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docs/en/reference/models/sam/modules/encoders.md
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description: Explore detailed documentation of various SAM encoder modules such as ImageEncoderViT, PromptEncoder, and more, available in Ultralytics' repository.
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keywords: Ultralytics, SAM encoder, ImageEncoderViT, PromptEncoder, PositionEmbeddingRandom, Block, Attention, PatchEmbed
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# Reference for `ultralytics/models/sam/modules/encoders.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/encoders.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/encoders.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
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## ::: ultralytics.models.sam.modules.encoders.ImageEncoderViT
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## ::: ultralytics.models.sam.modules.encoders.PromptEncoder
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## ::: ultralytics.models.sam.modules.encoders.MemoryEncoder
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## ::: ultralytics.models.sam.modules.encoders.ImageEncoder
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## ::: ultralytics.models.sam.modules.encoders.FpnNeck
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## ::: ultralytics.models.sam.modules.encoders.Hiera
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docs/en/reference/models/sam/modules/memory_attention.md
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docs/en/reference/models/sam/modules/memory_attention.md
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description: Explore detailed documentation of various SAM 2 encoder modules such as MemoryAttentionLayer, MemoryAttention, available in Ultralytics' repository.
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keywords: Ultralytics, SAM 2 encoder, MemoryAttentionLayer, MemoryAttention
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# Reference for `ultralytics/models/sam/modules/memory_attention.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/memory_attention.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/memory_attention.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
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## ::: ultralytics.models.sam.modules.memory_attention.MemoryAttentionLayer
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## ::: ultralytics.models.sam.modules.memory_attention.MemoryAttention
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docs/en/reference/models/sam/modules/sam.md
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docs/en/reference/models/sam/modules/sam.md
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description: Discover the Ultralytics SAM and SAM 2 module for object segmentation. Learn about its components, such as image encoders and mask decoders, in this comprehensive guide.
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keywords: Ultralytics, SAM Module, SAM 2 Module, object segmentation, image encoder, mask decoder, prompt encoder, AI, machine learning
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---
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# Reference for `ultralytics/models/sam/modules/sam.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/sam.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/sam.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
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## ::: ultralytics.models.sam.modules.sam.SAMModel
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## ::: ultralytics.models.sam.modules.sam.SAM2Model
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## ::: ultralytics.models.sam.modules.sam.SAM3Model
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docs/en/reference/models/sam/modules/tiny_encoder.md
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docs/en/reference/models/sam/modules/tiny_encoder.md
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description: Explore the detailed implementation of TinyViT architecture including Conv2d_BN, PatchEmbed, MBConv, and more in Ultralytics.
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keywords: Ultralytics, TinyViT, Conv2d_BN, PatchEmbed, MBConv, Attention, PyTorch, YOLO, Deep Learning
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# Reference for `ultralytics/models/sam/modules/tiny_encoder.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/tiny_encoder.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/tiny_encoder.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
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## ::: ultralytics.models.sam.modules.tiny_encoder.Conv2d_BN
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## ::: ultralytics.models.sam.modules.tiny_encoder.PatchEmbed
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## ::: ultralytics.models.sam.modules.tiny_encoder.MBConv
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## ::: ultralytics.models.sam.modules.tiny_encoder.PatchMerging
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## ::: ultralytics.models.sam.modules.tiny_encoder.ConvLayer
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## ::: ultralytics.models.sam.modules.tiny_encoder.MLP
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## ::: ultralytics.models.sam.modules.tiny_encoder.Attention
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## ::: ultralytics.models.sam.modules.tiny_encoder.TinyViTBlock
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## ::: ultralytics.models.sam.modules.tiny_encoder.BasicLayer
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## ::: ultralytics.models.sam.modules.tiny_encoder.TinyViT
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docs/en/reference/models/sam/modules/transformer.md
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docs/en/reference/models/sam/modules/transformer.md
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---
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description: Explore the TwoWayTransformer module in Ultralytics, designed for simultaneous attention to image and query points. Ideal for object detection and segmentation tasks.
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keywords: Ultralytics, TwoWayTransformer, module, deep learning, transformer, object detection, image segmentation, attention mechanism, neural networks
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---
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# Reference for `ultralytics/models/sam/modules/transformer.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/transformer.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/transformer.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
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<br>
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## ::: ultralytics.models.sam.modules.transformer.TwoWayTransformer
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## ::: ultralytics.models.sam.modules.transformer.TwoWayAttentionBlock
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## ::: ultralytics.models.sam.modules.transformer.Attention
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docs/en/reference/models/sam/modules/utils.md
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docs/en/reference/models/sam/modules/utils.md
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description: Explore the detailed API reference for Ultralytics SAM and SAM 2 models.
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keywords: Ultralytics, SAM, SAM 2, API Reference, models, window partition, data processing, YOLO
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# Reference for `ultralytics/models/sam/modules/utils.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/utils.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
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## ::: ultralytics.models.sam.modules.utils.select_closest_cond_frames
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## ::: ultralytics.models.sam.modules.utils.get_1d_sine_pe
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## ::: ultralytics.models.sam.modules.utils.init_t_xy
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## ::: ultralytics.models.sam.modules.utils.compute_axial_cis
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## ::: ultralytics.models.sam.modules.utils.reshape_for_broadcast
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## ::: ultralytics.models.sam.modules.utils.apply_rotary_enc
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## ::: ultralytics.models.sam.modules.utils.window_partition
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## ::: ultralytics.models.sam.modules.utils.window_unpartition
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## ::: ultralytics.models.sam.modules.utils.get_rel_pos
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## ::: ultralytics.models.sam.modules.utils.add_decomposed_rel_pos
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## ::: ultralytics.models.sam.modules.utils.get_abs_pos
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## ::: ultralytics.models.sam.modules.utils.concat_rel_pos
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