Rehost SAM-2.1 Hiera Tiny weights

LICENSE

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NOTICE

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+LibreSAM2 weights
+------------------
+
+This product contains weights derived from SAM-2.1 Hiera Tiny
+(https://huggingface.co/facebook/sam2.1-hiera-tiny) and SAM 2
+(https://github.com/facebookresearch/sam2).
+Copyright (c) Meta Platforms, Inc. and affiliates.
+Licensed under the Apache License, Version 2.0.
+
+The learned parameters are unchanged from upstream.

README.md

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+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: mask-generation
+tags:
+  - libreyolo
+  - sam2
+  - promptable-segmentation
+  - image-segmentation
+base_model: facebook/sam2.1-hiera-tiny
+---
+
+# LibreSAM2tiny
+
+SAM-2.1 Hiera Tiny rehosted for LibreYOLO's `LibreSAM` promptable segmentation tier.
+
+## Source
+
+Derived from [`facebook/sam2.1-hiera-tiny`](https://huggingface.co/facebook/sam2.1-hiera-tiny) at commit
+`de431c4043854a71d8101e17995dfe596bf101a5` and the Apache-2.0
+[`facebookresearch/sam2`](https://github.com/facebookresearch/sam2) source
+release.
+
+## Modifications
+
+Learned parameters are unchanged. The upstream Transformers-compatible snapshot
+files are mirrored here for LibreYOLO distribution. This repository adds
+LibreYOLO model-card packaging plus `LICENSE` and `NOTICE` files for Apache-2.0
+redistribution.
+
+## Usage
+
+```python
+from libreyolo import LibreSAM
+
+model = LibreSAM("sam2-tiny")
+result = model("image.jpg", points=[500, 375], labels=[1])
+```
+
+## License
+
+Apache License 2.0. See [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE).

config.json

@@ -0,0 +1,233 @@
+{
+  "architectures": [
+    "Sam2VideoModel"
+  ],
+  "enable_occlusion_spatial_embedding": true,
+  "enable_temporal_pos_encoding_for_object_pointers": true,
+  "image_size": 1024,
+  "initializer_range": 0.02,
+  "mask_decoder_config": {
+    "attention_downsample_rate": 2,
+    "dynamic_multimask_stability_delta": 0.05,
+    "dynamic_multimask_stability_thresh": 0.98,
+    "dynamic_multimask_via_stability": true,
+    "hidden_act": "gelu",
+    "hidden_size": 256,
+    "iou_head_depth": 3,
+    "iou_head_hidden_dim": 256,
+    "mlp_dim": 2048,
+    "model_type": "",
+    "num_attention_heads": 8,
+    "num_hidden_layers": 2,
+    "num_multimask_outputs": 3
+  },
+  "mask_downsampler_embed_dim": 256,
+  "mask_downsampler_hidden_act": "gelu",
+  "mask_downsampler_kernel_size": 3,
+  "mask_downsampler_padding": 1,
+  "mask_downsampler_stride": 2,
+  "mask_downsampler_total_stride": 16,
+  "max_object_pointers_in_encoder": 16,
+  "memory_attention_downsample_rate": 1,
+  "memory_attention_dropout": 0.1,
+  "memory_attention_feed_forward_hidden_act": "relu",
+  "memory_attention_feed_forward_hidden_size": 2048,
+  "memory_attention_hidden_size": 256,
+  "memory_attention_num_attention_heads": 1,
+  "memory_attention_num_layers": 4,
+  "memory_attention_rope_dropout": 0.1,
+  "memory_attention_rope_feat_sizes": [
+    64,
+    64
+  ],
+  "memory_attention_rope_theta": 10000,
+  "memory_encoder_hidden_size": 256,
+  "memory_encoder_output_channels": 64,
+  "memory_fuser_embed_dim": 256,
+  "memory_fuser_hidden_act": "gelu",
+  "memory_fuser_intermediate_dim": 1024,
+  "memory_fuser_kernel_size": 7,
+  "memory_fuser_layer_scale_init_value": 1e-06,
+  "memory_fuser_num_layers": 2,
+  "memory_fuser_padding": 3,
+  "model_type": "sam2_video",
+  "multimask_max_pt_num": 1,
+  "multimask_min_pt_num": 0,
+  "multimask_output_for_tracking": true,
+  "multimask_output_in_sam": true,
+  "num_maskmem": 7,
+  "prompt_encoder_config": {
+    "hidden_act": "gelu",
+    "hidden_size": 256,
+    "image_size": 1024,
+    "layer_norm_eps": 1e-06,
+    "mask_input_channels": 16,
+    "model_type": "",
+    "num_point_embeddings": 4,
+    "patch_size": 16,
+    "scale": 1
+  },
+  "sigmoid_bias_for_mem_enc": -10.0,
+  "sigmoid_scale_for_mem_enc": 20.0,
+  "torch_dtype": "float32",
+  "transformers_version": "4.56.0.dev0",
+  "vision_config": {
+    "backbone_channel_list": [
+      768,
+      384,
+      192,
+      96
+    ],
+    "backbone_config": {
+      "_name_or_path": "",
+      "add_cross_attention": false,
+      "architectures": null,
+      "bad_words_ids": null,
+      "begin_suppress_tokens": null,
+      "blocks_per_stage": [
+        1,
+        2,
+        7,
+        2
+      ],
+      "bos_token_id": null,
+      "chunk_size_feed_forward": 0,
+      "cross_attention_hidden_size": null,
+      "decoder_start_token_id": null,
+      "diversity_penalty": 0.0,
+      "do_sample": false,
+      "early_stopping": false,
+      "embed_dim_per_stage": [
+        96,
+        192,
+        384,
+        768
+      ],
+      "encoder_no_repeat_ngram_size": 0,
+      "eos_token_id": null,
+      "exponential_decay_length_penalty": null,
+      "finetuning_task": null,
+      "forced_bos_token_id": null,
+      "forced_eos_token_id": null,
+      "global_attention_blocks": [
+        5,
+        7,
+        9
+      ],
+      "hidden_act": "gelu",
+      "hidden_size": 96,
+      "id2label": {
+        "0": "LABEL_0",
+        "1": "LABEL_1"
+      },
+      "image_size": [
+        1024,
+        1024
+      ],
+      "initializer_range": 0.02,
+      "is_decoder": false,
+      "is_encoder_decoder": false,
+      "label2id": {
+        "LABEL_0": 0,
+        "LABEL_1": 1
+      },
+      "layer_norm_eps": 1e-06,
+      "length_penalty": 1.0,
+      "max_length": 20,
+      "min_length": 0,
+      "mlp_ratio": 4.0,
+      "model_type": "sam2_hiera_det_model",
+      "no_repeat_ngram_size": 0,
+      "num_attention_heads": 1,
+      "num_attention_heads_per_stage": [
+        1,
+        2,
+        4,
+        8
+      ],
+      "num_beam_groups": 1,
+      "num_beams": 1,
+      "num_channels": 3,
+      "num_query_pool_stages": 3,
+      "num_return_sequences": 1,
+      "output_attentions": false,
+      "output_hidden_states": false,
+      "output_scores": false,
+      "pad_token_id": null,
+      "patch_kernel_size": [
+        7,
+        7
+      ],
+      "patch_padding": [
+        3,
+        3
+      ],
+      "patch_stride": [
+        4,
+        4
+      ],
+      "prefix": null,
+      "problem_type": null,
+      "pruned_heads": {},
+      "query_stride": [
+        2,
+        2
+      ],
+      "remove_invalid_values": false,
+      "repetition_penalty": 1.0,
+      "return_dict": true,
+      "return_dict_in_generate": false,
+      "sep_token_id": null,
+      "suppress_tokens": null,
+      "task_specific_params": null,
+      "temperature": 1.0,
+      "tf_legacy_loss": false,
+      "tie_encoder_decoder": false,
+      "tie_word_embeddings": true,
+      "tokenizer_class": null,
+      "top_k": 50,
+      "top_p": 1.0,
+      "torch_dtype": null,
+      "torchscript": false,
+      "typical_p": 1.0,
+      "use_bfloat16": false,
+      "window_positional_embedding_background_size": [
+        7,
+        7
+      ],
+      "window_size_per_stage": [
+        8,
+        4,
+        14,
+        7
+      ]
+    },
+    "backbone_feature_sizes": [
+      [
+        256,
+        256
+      ],
+      [
+        128,
+        128
+      ],
+      [
+        64,
+        64
+      ]
+    ],
+    "fpn_hidden_size": 256,
+    "fpn_kernel_size": 1,
+    "fpn_padding": 0,
+    "fpn_stride": 1,
+    "fpn_top_down_levels": [
+      2,
+      3
+    ],
+    "hidden_act": "gelu",
+    "initializer_range": 0.02,
+    "layer_norm_eps": 1e-06,
+    "model_type": "sam2_vision_model",
+    "num_feature_levels": 3
+  }
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:48c14467e5cf9e51870511feb72c89688e82dd74523142c0538b663e193ac2a7
+size 155908064

preprocessor_config.json

@@ -0,0 +1,36 @@
+{
+  "crop_size": null,
+  "data_format": "channels_first",
+  "default_to_square": true,
+  "device": null,
+  "disable_grouping": null,
+  "do_center_crop": null,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "Sam2ImageProcessorFast",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "input_data_format": null,
+  "mask_size": {
+    "height": 256,
+    "width": 256
+  },
+  "processor_class": "Sam2VideoProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "return_tensors": null,
+  "size": {
+    "height": 1024,
+    "width": 1024
+  }
+}

processor_config.json

@@ -0,0 +1,5 @@
+{
+  "point_pad_value": -10,
+  "processor_class": "Sam2VideoProcessor",
+  "target_size": 1024
+}

sam2.1_hiera_t.yaml

@@ -0,0 +1,121 @@
+# @package _global_
+
+# Model
+model:
+  _target_: sam2.modeling.sam2_base.SAM2Base
+  image_encoder:
+    _target_: sam2.modeling.backbones.image_encoder.ImageEncoder
+    scalp: 1
+    trunk:
+      _target_: sam2.modeling.backbones.hieradet.Hiera
+      embed_dim: 96
+      num_heads: 1
+      stages: [1, 2, 7, 2]
+      global_att_blocks: [5, 7, 9]
+      window_pos_embed_bkg_spatial_size: [7, 7]
+    neck:
+      _target_: sam2.modeling.backbones.image_encoder.FpnNeck
+      position_encoding:
+        _target_: sam2.modeling.position_encoding.PositionEmbeddingSine
+        num_pos_feats: 256
+        normalize: true
+        scale: null
+        temperature: 10000
+      d_model: 256
+      backbone_channel_list: [768, 384, 192, 96]
+      fpn_top_down_levels: [2, 3]  # output level 0 and 1 directly use the backbone features
+      fpn_interp_model: nearest
+
+  memory_attention:
+    _target_: sam2.modeling.memory_attention.MemoryAttention
+    d_model: 256
+    pos_enc_at_input: true
+    layer:
+      _target_: sam2.modeling.memory_attention.MemoryAttentionLayer
+      activation: relu
+      dim_feedforward: 2048
+      dropout: 0.1
+      pos_enc_at_attn: false
+      self_attention:
+        _target_: sam2.modeling.sam.transformer.RoPEAttention
+        rope_theta: 10000.0
+        feat_sizes: [32, 32]
+        embedding_dim: 256
+        num_heads: 1
+        downsample_rate: 1
+        dropout: 0.1
+      d_model: 256
+      pos_enc_at_cross_attn_keys: true
+      pos_enc_at_cross_attn_queries: false
+      cross_attention:
+        _target_: sam2.modeling.sam.transformer.RoPEAttention
+        rope_theta: 10000.0
+        feat_sizes: [32, 32]
+        rope_k_repeat: True
+        embedding_dim: 256
+        num_heads: 1
+        downsample_rate: 1
+        dropout: 0.1
+        kv_in_dim: 64
+    num_layers: 4
+
+  memory_encoder:
+      _target_: sam2.modeling.memory_encoder.MemoryEncoder
+      out_dim: 64
+      position_encoding:
+        _target_: sam2.modeling.position_encoding.PositionEmbeddingSine
+        num_pos_feats: 64
+        normalize: true
+        scale: null
+        temperature: 10000
+      mask_downsampler:
+        _target_: sam2.modeling.memory_encoder.MaskDownSampler
+        kernel_size: 3
+        stride: 2
+        padding: 1
+      fuser:
+        _target_: sam2.modeling.memory_encoder.Fuser
+        layer:
+          _target_: sam2.modeling.memory_encoder.CXBlock
+          dim: 256
+          kernel_size: 7
+          padding: 3
+          layer_scale_init_value: 1e-6
+          use_dwconv: True  # depth-wise convs
+        num_layers: 2
+
+  num_maskmem: 7
+  image_size: 1024
+  # apply scaled sigmoid on mask logits for memory encoder, and directly feed input mask as output mask
+  # SAM decoder
+  sigmoid_scale_for_mem_enc: 20.0
+  sigmoid_bias_for_mem_enc: -10.0
+  use_mask_input_as_output_without_sam: true
+  # Memory
+  directly_add_no_mem_embed: true
+  no_obj_embed_spatial: true
+  # use high-resolution feature map in the SAM mask decoder
+  use_high_res_features_in_sam: true
+  # output 3 masks on the first click on initial conditioning frames
+  multimask_output_in_sam: true
+  # SAM heads
+  iou_prediction_use_sigmoid: True
+  # cross-attend to object pointers from other frames (based on SAM output tokens) in the encoder
+  use_obj_ptrs_in_encoder: true
+  add_tpos_enc_to_obj_ptrs: true
+  proj_tpos_enc_in_obj_ptrs: true
+  use_signed_tpos_enc_to_obj_ptrs: true
+  only_obj_ptrs_in_the_past_for_eval: true
+  # object occlusion prediction
+  pred_obj_scores: true
+  pred_obj_scores_mlp: true
+  fixed_no_obj_ptr: true
+  # multimask tracking settings
+  multimask_output_for_tracking: true
+  use_multimask_token_for_obj_ptr: true
+  multimask_min_pt_num: 0
+  multimask_max_pt_num: 1
+  use_mlp_for_obj_ptr_proj: true
+  # Compilation flag
+  # HieraT does not currently support compilation, should always be set to False
+  compile_image_encoder: False

sam2.1_hiera_tiny.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7402e0d864fa82708a20fbd15bc84245c2f26dff0eb43a4b5b93452deb34be69
+size 156008466

video_preprocessor_config.json

@@ -0,0 +1,36 @@
+{
+  "crop_size": null,
+  "data_format": "channels_first",
+  "default_to_square": true,
+  "device": null,
+  "do_center_crop": null,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_pad": null,
+  "do_rescale": true,
+  "do_resize": true,
+  "do_sample_frames": null,
+  "fps": null,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "input_data_format": null,
+  "num_frames": null,
+  "processor_class": "Sam2VideoProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 1024,
+    "width": 1024
+  },
+  "size_divisor": null,
+  "video_metadata": null,
+  "video_processor_type": "Sam2VideoVideoProcessor"
+}