Update app.py

app.py

@@ -273,7 +273,7 @@ def object_detection_density_edge(image, conf_threshold=0.25, iou_threshold=0.45
 
 
 # Function to resize and encode an image
-def resize_image(image, max_size=2500):
+def resize_image(image, max_size=1500):
     print("resize_image initialized")
     if max(image.size) > max_size:
 
@@ -300,7 +300,7 @@ def resize_image(image, max_size=2500):
     return base64.b64encode(buffered).decode("utf-8")
 
 
-def infer(image, model, version, api_key, confidence=0.45, overlap=0.45, format="json", labels=False, stroke=1):
+def infer(image, model, version, api_key, confidence=0.4, overlap=0.20, format="json", labels=False, stroke=1):
     
     base_url = f"https://detect.roboflow.com/{model}/{version}?api_key={api_key}&confidence={confidence}&overlap={overlap}&format={format}"
     
@@ -343,11 +343,11 @@ interface = gr.Interface(
         gr.Textbox(value="sku-110k", label="Model Name"),
         gr.Textbox(value="2", label="Model Version"),
         gr.Textbox(value="gHiUgOSq9GqTnRy5mErk", label="API Key"),
-        gr.Slider(0.0, 1.0, value=0.45, label="Confidence Threshold"),
-        gr.Slider(0.0, 1.0, value=0.45, label="Overlap Threshold"),
+        gr.Slider(0.0, 1.0, value=0.40, label="Confidence Threshold"),
+        gr.Slider(0.0, 1.0, value=0.20, label="Overlap Threshold"),
         gr.Radio(["json", "image"], value="image", label="Output Format"),
         gr.Checkbox(False, label="Include Labels"),
-        gr.Slider(1, 10, value=1, step=1, label="Stroke Width"),
+        gr.Slider(1, 10, value=5, step=1, label="Stroke Width"),
     ],
     outputs=[
         gr.Image(label="Roboflow Output Image"),