[Feature] Add MobileSAM

contrib/SegmentAnything/scripts/amg_paddle.py

@@ -36,7 +36,9 @@
     'vit_l':
     "https://bj.bcebos.com/paddleseg/dygraph/paddlesegAnything/vit_l/model.pdparams",
     'vit_b':
-    "https://bj.bcebos.com/paddleseg/dygraph/paddlesegAnything/vit_b/model.pdparams"
+    "https://bj.bcebos.com/paddleseg/dygraph/paddlesegAnything/vit_b/model.pdparams",
+    'vit_t':
+    "https://bj.bcebos.com/paddleseg/dygraph/paddlesegAnything/vit_t/model.pdparams",
 }
 
 parser = argparse.ArgumentParser(description=(
@@ -49,7 +51,7 @@
     type=str,
     default="vit_l",
     required=True,
-    help="The type of model to load, in ['vit_h', 'vit_l', 'vit_b']", )
+    help="The type of model to load, in ['vit_h', 'vit_l', 'vit_b', 'vit_l']", )
 
 parser.add_argument(
     "--convert-to-rle",

contrib/SegmentAnything/scripts/promt_predict.py

@@ -33,7 +33,9 @@
     'vit_l':
     "https://bj.bcebos.com/paddleseg/dygraph/paddlesegAnything/vit_l/model.pdparams",
     'vit_b':
-    "https://bj.bcebos.com/paddleseg/dygraph/paddlesegAnything/vit_b/model.pdparams"
+    "https://bj.bcebos.com/paddleseg/dygraph/paddlesegAnything/vit_b/model.pdparams",
+    'vit_t':
+    "https://bj.bcebos.com/paddleseg/dygraph/paddlesegAnything/vit_t/model.pdparams",
 }
 
 
@@ -48,7 +50,7 @@ def get_args():
         type=str,
         default="vit_l",
         required=True,
-        help="The type of model to load, in ['vit_h', 'vit_l', 'vit_b']", )
+        help="The type of model to load, in ['vit_h', 'vit_l', 'vit_b', 'vit_t']", )
     parser.add_argument(
         '--point_prompt',
         type=int,

contrib/SegmentAnything/scripts/text_to_sam_clip.py

@@ -39,6 +39,8 @@
     "https://bj.bcebos.com/paddleseg/dygraph/paddlesegAnything/vit_l/model.pdparams",
     'vit_b':
     "https://bj.bcebos.com/paddleseg/dygraph/paddlesegAnything/vit_b/model.pdparams",
+    'vit_t':
+    "https://bj.bcebos.com/paddleseg/dygraph/paddlesegAnything/vit_t/model.pdparams",
     'clip_b_32':
     "https://bj.bcebos.com/paddleseg/dygraph/clip/vit_b_32_pretrain/clip_vit_b_32.pdparams"
 }
@@ -53,7 +55,7 @@
     type=str,
     default="vit_h",
     required=True,
-    help="The type of model to load, in ['vit_h', 'vit_l', 'vit_b']", )
+    help="The type of model to load, in ['vit_h', 'vit_l', 'vit_b', 'vit_t']", )
 
 
 def download(img):

contrib/SegmentAnything/segment_anything/build_sam.py

@@ -19,7 +19,7 @@
 
 from paddleseg.utils import load_entire_model
 
-from .modeling import ImageEncoderViT, MaskDecoder, PromptEncoder, Sam, TwoWayTransformer
+from .modeling import ImageEncoderViT, MaskDecoder, PromptEncoder, Sam, TwoWayTransformer, TinyViT
 
 
 def build_sam_vit_h(checkpoint=None):
@@ -52,11 +52,58 @@ def build_sam_vit_b(checkpoint=None):
         checkpoint=checkpoint, )
 
 
+def build_sam_vit_t(checkpoint=None):
+    prompt_embed_dim = 256
+    image_size = 1024
+    vit_patch_size = 16
+    image_embedding_size = image_size // vit_patch_size
+    mobile_sam = Sam(
+            image_encoder=TinyViT(img_size=1024, in_chans=3, num_classes=1000,
+                embed_dims=[64, 128, 160, 320],
+                depths=[2, 2, 6, 2],
+                num_heads=[2, 4, 5, 10],
+                window_sizes=[7, 7, 14, 7],
+                mlp_ratio=4.,
+                drop_rate=0.,
+                drop_path_rate=0.0,
+                mbconv_expand_ratio=4.0,
+                local_conv_size=3,
+                layer_lr_decay=0.8
+            ),
+            prompt_encoder=PromptEncoder(
+            embed_dim=prompt_embed_dim,
+            image_embedding_size=(image_embedding_size, image_embedding_size),
+            input_image_size=(image_size, image_size),
+            mask_in_chans=16,
+            ),
+            mask_decoder=MaskDecoder(
+                    num_multimask_outputs=3,
+                    transformer=TwoWayTransformer(
+                    depth=2,
+                    embedding_dim=prompt_embed_dim,
+                    mlp_dim=2048,
+                    num_heads=8,
+                ),
+                transformer_dim=prompt_embed_dim,
+                iou_head_depth=3,
+                iou_head_hidden_dim=256,
+            ),
+            pixel_mean=[123.675, 116.28, 103.53],
+            pixel_std=[58.395, 57.12, 57.375],
+        )
+
+    mobile_sam.eval()
+    if checkpoint is not None:
+        load_entire_model(mobile_sam, checkpoint)
+    mobile_sam.image_encoder.build_abs()
+    return mobile_sam
+
 sam_model_registry = {
     "default": build_sam,
     "vit_h": build_sam,
     "vit_l": build_sam_vit_l,
     "vit_b": build_sam_vit_b,
+    "vit_t": build_sam_vit_t,
 }
 
 

contrib/SegmentAnything/segment_anything/modeling/__init__.py

@@ -20,3 +20,4 @@
 from .mask_decoder import MaskDecoder
 from .prompt_encoder import PromptEncoder
 from .transformer import TwoWayTransformer
+from .tiny_vit_sam import TinyViT

contrib/SegmentAnything/segment_anything/modeling/sam.py

@@ -18,11 +18,12 @@
 from paddle import nn
 from paddle.nn import functional as F
 
-from typing import Any, Dict, List, Tuple
+from typing import Any, Dict, List, Tuple, Union
 
 from .image_encoder import ImageEncoderViT
 from .mask_decoder import MaskDecoder
 from .prompt_encoder import PromptEncoder
+from .tiny_vit_sam import TinyViT
 
 
 class Sam(nn.Layer):
@@ -31,7 +32,7 @@ class Sam(nn.Layer):
 
     def __init__(
             self,
-            image_encoder: ImageEncoderViT,
+            image_encoder: Union[ImageEncoderViT, TinyViT],
             prompt_encoder: PromptEncoder,
             mask_decoder: MaskDecoder,
             pixel_mean: List[float]=[123.675, 116.28, 103.53],