imanhamid commited on
Commit
203877e
·
1 Parent(s): 62b2148

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -2
app.py CHANGED
@@ -31,8 +31,9 @@ def show_preds(input_image, detection_threshold=0.5):
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  img = draw_pred(img=img, pred=pred, class_map=class_map, display_label=False, display_bbox=True)
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  img = PIL.Image.fromarray(img)
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  pred_bbox = pred['bboxes']
 
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  # print("Output Image: ", img.size, type(img))
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- return img, pred_bbox
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  # Populate examples in Gradio interface
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  examples = [
@@ -46,7 +47,7 @@ description = "An object detection framework to localize regions under post-admi
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  gr_interface = gr.Interface(
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  fn=show_preds,
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  inputs=[gr.Image(label="Upload 200x200 B&W image of ancestry-painted chromosomes:"), gr.Slider(minimum=0, maximum=1, step=0.1, default=0.5, label="Detection Threshold")],
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- outputs=[gr.Image(type="pil"), gr.Textbox(label="Predicted BBox:")],
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  title='Detect adaptive variants in admixed populations',
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  description=description,
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  examples=examples)
 
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  img = draw_pred(img=img, pred=pred, class_map=class_map, display_label=False, display_bbox=True)
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  img = PIL.Image.fromarray(img)
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  pred_bbox = pred['bboxes']
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+ pred_score = pred['scores']
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  # print("Output Image: ", img.size, type(img))
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+ return img, pred_bbox, pred_score
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  # Populate examples in Gradio interface
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  examples = [
 
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  gr_interface = gr.Interface(
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  fn=show_preds,
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  inputs=[gr.Image(label="Upload 200x200 B&W image of ancestry-painted chromosomes:"), gr.Slider(minimum=0, maximum=1, step=0.1, default=0.5, label="Detection Threshold")],
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+ outputs=[gr.Image(type="pil"), gr.Textbox(label="Predicted BBox:"), gr.Textbox(label="Predicted BBox Score:")],
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  title='Detect adaptive variants in admixed populations',
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  description=description,
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  examples=examples)