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Commit
98afb0d
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1 Parent(s): 6ca9c35

Update app.py

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Files changed (1) hide show
  1. app.py +2 -7
app.py CHANGED
@@ -64,7 +64,7 @@ def get_original_image(url_input):
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  image = Image.open(requests.get(url_input, stream=True).raw)
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  return image
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- def detect_objects(model_name, url_input, image_input, webcam_input, threshold):
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  # Extract model and feature extractor
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  feature_extractor = AutoFeatureExtractor.from_pretrained(model_name)
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@@ -77,8 +77,6 @@ def detect_objects(model_name, url_input, image_input, webcam_input, threshold):
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  image = get_original_image(url_input)
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  elif image_input is not None:
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  image = image_input
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- elif webcam_input is not None:
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- image = webcam_input
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  # Make prediction
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  processed_outputs = make_prediction(image, feature_extractor, model)
@@ -103,9 +101,6 @@ models = ["nickmuchi/yolos-small-finetuned-license-plate-detection", "nickmuchi/
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  urls = ["https://drive.google.com/uc?id=1j9VZQ4NDS4gsubFf3m2qQoTMWLk552bQ", "https://drive.google.com/uc?id=1p9wJIqRz3W50e2f_A0D8ftla8hoXz4T5"]
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  images = [[path.as_posix()] for path in sorted(pathlib.Path('images').rglob('*.j*g'))]
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- twitter_link = """
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- [![](https://img.shields.io/twitter/follow/nickmuchi?label=@nickmuchi&style=social)](https://twitter.com/nickmuchi)
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- """
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  css = '''
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  h1#title {
@@ -150,6 +145,6 @@ with demo:
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  url_but.click(fn=detect_objects, inputs=[options, url_input, img_input, slider_input], outputs=[img_output_from_url], queue=True)
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  img_but.click(fn=detect_objects, inputs=[options, url_input, img_input, slider_input], outputs=[img_output_from_upload], queue=True)
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- gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=nickmuchi-license-plate-detection-with-yolos)")
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  demo.launch(debug=True)
 
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  image = Image.open(requests.get(url_input, stream=True).raw)
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  return image
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+ def detect_objects(model_name, url_input, image_input,threshold):
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  # Extract model and feature extractor
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  feature_extractor = AutoFeatureExtractor.from_pretrained(model_name)
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  image = get_original_image(url_input)
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  elif image_input is not None:
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  image = image_input
 
 
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  # Make prediction
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  processed_outputs = make_prediction(image, feature_extractor, model)
 
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  urls = ["https://drive.google.com/uc?id=1j9VZQ4NDS4gsubFf3m2qQoTMWLk552bQ", "https://drive.google.com/uc?id=1p9wJIqRz3W50e2f_A0D8ftla8hoXz4T5"]
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  images = [[path.as_posix()] for path in sorted(pathlib.Path('images').rglob('*.j*g'))]
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  css = '''
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  h1#title {
 
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  url_but.click(fn=detect_objects, inputs=[options, url_input, img_input, slider_input], outputs=[img_output_from_url], queue=True)
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  img_but.click(fn=detect_objects, inputs=[options, url_input, img_input, slider_input], outputs=[img_output_from_upload], queue=True)
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+ #gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=nickmuchi-license-plate-detection-with-yolos)")
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  demo.launch(debug=True)