Update app.py
Browse files
app.py
CHANGED
|
@@ -6,7 +6,7 @@ import numpy as np
|
|
| 6 |
from transformers import SamModel, SamProcessor
|
| 7 |
|
| 8 |
|
| 9 |
-
model = SamModel.from_pretrained('facebook/sam-vit-huge').to('
|
| 10 |
processor = SamProcessor.from_pretrained('facebook/sam-vit-huge')
|
| 11 |
|
| 12 |
|
|
@@ -14,7 +14,7 @@ def set_predictor(image):
|
|
| 14 |
"""
|
| 15 |
Creates a Sam predictor object based on a given image and model.
|
| 16 |
"""
|
| 17 |
-
inputs = processor(image, return_tensors='pt').to('
|
| 18 |
image_embedding = model.get_image_embeddings(inputs['pixel_values'])
|
| 19 |
|
| 20 |
return [image, image_embedding, 'Done']
|
|
@@ -27,7 +27,7 @@ def get_polygon(points, image, image_embedding):
|
|
| 27 |
"""
|
| 28 |
points = [int(w) for w in points.split(',')]
|
| 29 |
|
| 30 |
-
inputs = processor(image, input_boxes=[points], return_tensors="pt").to('
|
| 31 |
|
| 32 |
# pop the pixel_values as they are not neded
|
| 33 |
inputs.pop("pixel_values", None)
|
|
|
|
| 6 |
from transformers import SamModel, SamProcessor
|
| 7 |
|
| 8 |
|
| 9 |
+
model = SamModel.from_pretrained('facebook/sam-vit-huge').to('cpu')
|
| 10 |
processor = SamProcessor.from_pretrained('facebook/sam-vit-huge')
|
| 11 |
|
| 12 |
|
|
|
|
| 14 |
"""
|
| 15 |
Creates a Sam predictor object based on a given image and model.
|
| 16 |
"""
|
| 17 |
+
inputs = processor(image, return_tensors='pt').to('cpu')
|
| 18 |
image_embedding = model.get_image_embeddings(inputs['pixel_values'])
|
| 19 |
|
| 20 |
return [image, image_embedding, 'Done']
|
|
|
|
| 27 |
"""
|
| 28 |
points = [int(w) for w in points.split(',')]
|
| 29 |
|
| 30 |
+
inputs = processor(image, input_boxes=[points], return_tensors="pt").to('cpu')
|
| 31 |
|
| 32 |
# pop the pixel_values as they are not neded
|
| 33 |
inputs.pop("pixel_values", None)
|