Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -181,10 +181,10 @@ def process_image_detection(image, target_label, surprise_rating):
|
|
181 |
base_fontsize = min(original_size) / 80
|
182 |
|
183 |
print("Loading models...")
|
184 |
-
owlv2_processor = Owlv2Processor.from_pretrained("google/owlv2-
|
185 |
-
owlv2_model = Owlv2ForObjectDetection.from_pretrained("google/owlv2-
|
186 |
-
sam_processor = AutoProcessor.from_pretrained("facebook/sam-vit-
|
187 |
-
sam_model = AutoModelForMaskGeneration.from_pretrained("facebook/sam-vit-
|
188 |
|
189 |
print("Running object detection...")
|
190 |
inputs = owlv2_processor(text=[target_label], images=image, return_tensors="pt").to(device)
|
|
|
181 |
base_fontsize = min(original_size) / 80
|
182 |
|
183 |
print("Loading models...")
|
184 |
+
owlv2_processor = Owlv2Processor.from_pretrained("google/owlv2-large-patch14")
|
185 |
+
owlv2_model = Owlv2ForObjectDetection.from_pretrained("google/owlv2-large-patch14").to(device)
|
186 |
+
sam_processor = AutoProcessor.from_pretrained("facebook/sam-vit-large")
|
187 |
+
sam_model = AutoModelForMaskGeneration.from_pretrained("facebook/sam-vit-large").to(device)
|
188 |
|
189 |
print("Running object detection...")
|
190 |
inputs = owlv2_processor(text=[target_label], images=image, return_tensors="pt").to(device)
|