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license-plate-detection-with-YOLOS

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nickmuchi commited on Aug 6, 2022

Commit

16f9838

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1 Parent(s): f4d0bcb

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -95,7 +95,7 @@ def set_example_url(example: list) -> dict:
     return gr.Textbox.update(value=example[0]), gr.Image.update(value=get_original_image(example[0]))
-title = """<h1 id="title">Face Mask Detection with YOLOS</h1>"""
 description = """
 YOLOS is a Vision Transformer (ViT) trained using the DETR loss. Despite its simplicity, a base-sized YOLOS model is able to achieve 42 AP on COCO validation 2017 (similar to DETR and more complex frameworks such as Faster R-CNN).
@@ -168,7 +168,7 @@ with demo:
     example_url.click(fn=set_example_url,inputs=[example_url],outputs=[url_input,original_image])
-    gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=nickmuchi-face-mask-detections-with-yolos)")
 demo.launch(debug=True,enable_queue=True)

     return gr.Textbox.update(value=example[0]), gr.Image.update(value=get_original_image(example[0]))
+title = """<h1 id="title">License Plate Detection with YOLOS</h1>"""
 description = """
 YOLOS is a Vision Transformer (ViT) trained using the DETR loss. Despite its simplicity, a base-sized YOLOS model is able to achieve 42 AP on COCO validation 2017 (similar to DETR and more complex frameworks such as Faster R-CNN).
     example_url.click(fn=set_example_url,inputs=[example_url],outputs=[url_input,original_image])
+    gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=nickmuchi-license-plate-detection-with-yolos)")
 demo.launch(debug=True,enable_queue=True)