Update app.py
Browse files
app.py
CHANGED
@@ -34,7 +34,13 @@ def response2(image: gr.Image = None,image_size: gr.Slider = 640, conf_threshold
|
|
34 |
# im_rgb = im_bgr[..., ::-1] # Convert BGR to RGB
|
35 |
|
36 |
# # im_rgb = Image.fromarray(im_rgb)
|
37 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
38 |
|
39 |
|
40 |
inputs = [
|
@@ -48,7 +54,9 @@ inputs = [
|
|
48 |
]
|
49 |
|
50 |
|
51 |
-
outputs = gr.Image( type="filepath", label="Output Image")
|
|
|
|
|
52 |
|
53 |
title = "YOLOv8 Custom Object Detection by Uyen Nguyen"
|
54 |
|
|
|
34 |
# im_rgb = im_bgr[..., ::-1] # Convert BGR to RGB
|
35 |
|
36 |
# # im_rgb = Image.fromarray(im_rgb)
|
37 |
+
text = ""
|
38 |
+
for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
|
39 |
+
box = [round(i, 2) for i in box.tolist()]
|
40 |
+
|
41 |
+
text = text + (f"Detected {model.config.id2label[label.item()]} with confidence, {round(score.item(), 3)} at location {box}")
|
42 |
+
|
43 |
+
return render,text
|
44 |
|
45 |
|
46 |
inputs = [
|
|
|
54 |
]
|
55 |
|
56 |
|
57 |
+
outputs = [gr.Image( type="filepath", label="Output Image"),
|
58 |
+
gr.textbox()
|
59 |
+
]
|
60 |
|
61 |
title = "YOLOv8 Custom Object Detection by Uyen Nguyen"
|
62 |
|