eeshawn11 commited on
Commit
d160a75
1 Parent(s): 743046a

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -3
app.py CHANGED
@@ -31,7 +31,7 @@ def clear():
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  with gr.Blocks() as demo:
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  gr.Markdown("# Naruto Hand Seal Detection with YOLOv8")
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- with gr.Accordion("README"):
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  gr.Markdown(
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  """
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  ### Introduction
@@ -42,8 +42,6 @@ with gr.Blocks() as demo:
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  As a fan of the series, I knew that accurately detecting and classifying hand seals would be a difficult but rewarding challenge, and I was excited to tackle it using my expertise in machine learning and computer vision. One key challenge to overcome would be the lack of a good dataset of labelled images for training, so I had to develop my own. Besides capturing images of myself performing the seals, I augmented my dataset with a YouTube screenshots consisting of both real persons and anime characters performing the seals.
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- <img src="https://huggingface.co/spaces/eeshawn11/naruto_hand_seals/blob/main/assets/Naruto_Hand_Seals_by_Megan.gif">
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-
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  ### Problem Statement
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  The challenge was to develop a model that could accurately identify the hand seal being performed.
 
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  with gr.Blocks() as demo:
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  gr.Markdown("# Naruto Hand Seal Detection with YOLOv8")
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+ with gr.Accordion("README", open=False):
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  gr.Markdown(
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  """
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  ### Introduction
 
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  As a fan of the series, I knew that accurately detecting and classifying hand seals would be a difficult but rewarding challenge, and I was excited to tackle it using my expertise in machine learning and computer vision. One key challenge to overcome would be the lack of a good dataset of labelled images for training, so I had to develop my own. Besides capturing images of myself performing the seals, I augmented my dataset with a YouTube screenshots consisting of both real persons and anime characters performing the seals.
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  ### Problem Statement
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  The challenge was to develop a model that could accurately identify the hand seal being performed.