add briaai/RMBG-2.0

https://github.com/Sanster/IOPaint/issues/598

iopaint/plugins/briarmbg2.py

@@ -0,0 +1,39 @@
+import numpy as np
+
+
+def create_briarmbg2_session():
+    from transformers import AutoModelForImageSegmentation
+
+    birefnet = AutoModelForImageSegmentation.from_pretrained(
+        "briaai/RMBG-2.0", trust_remote_code=True
+    )
+    return birefnet
+
+
+def briarmbg2_process(bgr_np_image, session, only_mask=False):
+    from torchvision import transforms
+    from PIL import Image
+
+    transform_image = transforms.Compose(
+        [
+            transforms.Resize((1024, 1024)),
+            transforms.ToTensor(),
+            transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),
+        ]
+    )
+
+    image = Image.fromarray(bgr_np_image)
+    image_size = image.size
+    input_images = transform_image(image).unsqueeze(0)
+
+    # Prediction
+    preds = session(input_images)[-1].sigmoid().cpu()
+    pred = preds[0].squeeze()
+    pred_pil = transforms.ToPILImage()(pred)
+    mask = pred_pil.resize(image_size)
+
+    if only_mask:
+        return np.array(mask)
+
+    image.putalpha(mask)
+    return np.array(image)

iopaint/plugins/remove_bg.py

@@ -2,6 +2,7 @@ import os
 import cv2
 import numpy as np
 from loguru import logger
+import torch
 from torch.hub import get_dir
 
 from iopaint.plugins.base_plugin import BasePlugin
@@ -40,6 +41,14 @@ class RemoveBG(BasePlugin):
 
             self.session = create_briarmbg_session()
             self.remove = briarmbg_process
+        elif model_name == RemoveBGModel.briaai_rmbg_2_0:
+            from iopaint.plugins.briarmbg2 import (
+                create_briarmbg2_session,
+                briarmbg2_process,
+            )
+
+            self.session = create_briarmbg2_session()
+            self.remove = briarmbg2_process
         else:
             from rembg import new_session, remove
 
@@ -56,6 +65,7 @@ class RemoveBG(BasePlugin):
         self._init_session(new_model_name)
         self.model_name = new_model_name
 
+    @torch.inference_mode()
     def gen_image(self, rgb_np_img, req: RunPluginRequest) -> np.ndarray:
         bgr_np_img = cv2.cvtColor(rgb_np_img, cv2.COLOR_RGB2BGR)
 
@@ -63,6 +73,7 @@ class RemoveBG(BasePlugin):
         output = self.remove(bgr_np_img, session=self.session)
         return cv2.cvtColor(output, cv2.COLOR_BGRA2RGBA)
 
+    @torch.inference_mode()
     def gen_mask(self, rgb_np_img, req: RunPluginRequest) -> np.ndarray:
         bgr_np_img = cv2.cvtColor(rgb_np_img, cv2.COLOR_RGB2BGR)