nehulagrawal commited on
Commit
b638444
·
1 Parent(s): 271251d

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -2
app.py CHANGED
@@ -27,7 +27,6 @@ def yolov8_inference(
27
  model.overrides['conf'] = conf_threshold
28
  model.overrides['iou']= iou_threshold
29
  model.overrides['agnostic_nms'] = False # NMS class-agnostic
30
- # Correct line of code
31
  model.overrides['max_det'] = 999
32
  image = read_image(image)
33
  results = model.predict(image)
@@ -38,7 +37,7 @@ def yolov8_inference(
38
 
39
  inputs = [
40
  # Images
41
- gr.Examples(['samples/1.jpeg', 'samples/2.JPG'],),
42
  gr.inputs.Slider(minimum=320, maximum=1280, default=640, step=32, label="Image Size"),
43
  gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.25, step=0.05, label="Confidence Threshold"),
44
  gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.45, step=0.05, label="IOU Threshold"),
 
27
  model.overrides['conf'] = conf_threshold
28
  model.overrides['iou']= iou_threshold
29
  model.overrides['agnostic_nms'] = False # NMS class-agnostic
 
30
  model.overrides['max_det'] = 999
31
  image = read_image(image)
32
  results = model.predict(image)
 
37
 
38
  inputs = [
39
  # Images
40
+ gr.Examples(['samples/1.jpeg', 'samples/2.JPG'], inputs=None),
41
  gr.inputs.Slider(minimum=320, maximum=1280, default=640, step=32, label="Image Size"),
42
  gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.25, step=0.05, label="Confidence Threshold"),
43
  gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.45, step=0.05, label="IOU Threshold"),