Spaces:
Runtime error
Runtime error
fix styling
Browse files
app.py
CHANGED
|
@@ -19,7 +19,7 @@ processor = OwlViTProcessor.from_pretrained("google/owlvit-base-patch32")
|
|
| 19 |
def query_image(img, text_queries, score_threshold):
|
| 20 |
text_queries = text_queries
|
| 21 |
text_queries = text_queries.split(",")
|
| 22 |
-
|
| 23 |
target_sizes = torch.Tensor([img.shape[:2]])
|
| 24 |
img_input = cv2.resize(img, (768, 768), interpolation = cv2.INTER_AREA)
|
| 25 |
|
|
@@ -27,8 +27,6 @@ def query_image(img, text_queries, score_threshold):
|
|
| 27 |
|
| 28 |
with torch.no_grad():
|
| 29 |
outputs = model(**inputs)
|
| 30 |
-
|
| 31 |
-
|
| 32 |
|
| 33 |
outputs.logits = outputs.logits.cpu()
|
| 34 |
outputs.pred_boxes = outputs.pred_boxes.cpu()
|
|
|
|
| 19 |
def query_image(img, text_queries, score_threshold):
|
| 20 |
text_queries = text_queries
|
| 21 |
text_queries = text_queries.split(",")
|
| 22 |
+
|
| 23 |
target_sizes = torch.Tensor([img.shape[:2]])
|
| 24 |
img_input = cv2.resize(img, (768, 768), interpolation = cv2.INTER_AREA)
|
| 25 |
|
|
|
|
| 27 |
|
| 28 |
with torch.no_grad():
|
| 29 |
outputs = model(**inputs)
|
|
|
|
|
|
|
| 30 |
|
| 31 |
outputs.logits = outputs.logits.cpu()
|
| 32 |
outputs.pred_boxes = outputs.pred_boxes.cpu()
|