hiraltalsaniya commited on
Commit
d668599
1 Parent(s): 26dcb75

Update app.py

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Files changed (1) hide show
  1. app.py +5 -13
app.py CHANGED
@@ -3,14 +3,13 @@ import gradio as gr
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  from huggingface_hub import hf_hub_download
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  from PIL import Image
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- REPO_ID = "owaiskha9654/Yolov7_Custom_Object_Detection"
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  FILENAME = "best.pt"
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  yolov7_custom_weights = hf_hub_download(repo_id=REPO_ID, filename=FILENAME)
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- model = torch.hub.load('Owaiskhan9654/yolov7-1:main',model='custom', path_or_model=yolov7_custom_weights, force_reload=True) # My Github repository https://github.com/Owaiskhan9654
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-
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  def object_detection(im, size=416):
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  results = model(im)
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  results.render()
@@ -21,21 +20,14 @@ title = "Yolov7 Custom"
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  image = gr.inputs.Image(shape=(416, 416), image_mode="RGB", source="upload", label="Upload Image", optional=False)
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  outputs = gr.outputs.Image(type="pil", label="Output Image")
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- Custom_description="<center>Custom Training Performed on Kaggle <a href='https://www.kaggle.com/code/owaiskhan9654/training-yolov7-on-kaggle-on-custom-dataset/notebook' style='text-decoration: underline' target='_blank'>Link</a> </center><br> <center>Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors </center> <br> <b>1st</b> class is for Person Detected<br><b>2nd</b> class is for Car Detected"
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  Footer = (
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- "<center>Model Trained by: Owais Ahmad Data Scientist at <b> Thoucentric </b> <a href=\"https://www.linkedin.com/in/owaiskhan9654/\">Visit Profile</a> <br></center>"
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-
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- "<center> Model Trained Kaggle Kernel <a href=\"https://www.kaggle.com/code/owaiskhan9654/training-yolov7-on-kaggle-on-custom-dataset/notebook\">Link</a> <br></center>"
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-
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- "<center> Kaggle Profile <a href=\"https://www.kaggle.com/owaiskhan9654\">Link</a> <br> </center>"
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-
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- "<center> HuggingFace🤗 Model Deployed Repository <a href=\"https://huggingface.co/owaiskha9654/Yolov7_Custom_Object_Detection\">Link</a> <br></center>"
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- )
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  examples1=[["Image1.jpeg"],["Image2.jpeg"],["Image3.jpeg"],["Image4.jpeg"],["Image5.jpeg"],["Image6.jpeg"],["horses.jpeg"],["horses.jpeg"]]
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- Top_Title="<center>Yolov7 🚀 Custom Trained by <a href='https://www.linkedin.com/in/owaiskhan9654/' style='text-decoration: underline' target='_blank'>Owais Ahmad </center></a>🚗Car and 👦Person Detection"
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  css = ".output-image, .input-image {height: 50rem !important; width: 100% !important;}"
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  css = ".image-preview {height: auto !important;}"
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  from huggingface_hub import hf_hub_download
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  from PIL import Image
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+ REPO_ID = "hiraltalsaniya/YOLOv7"
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  FILENAME = "best.pt"
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  yolov7_custom_weights = hf_hub_download(repo_id=REPO_ID, filename=FILENAME)
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+ model = torch.hub.load('Owaiskhan9654/yolov7-1:main',model='custom', path_or_model=yolov7_custom_weights, force_reload=True)
 
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  def object_detection(im, size=416):
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  results = model(im)
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  results.render()
 
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  image = gr.inputs.Image(shape=(416, 416), image_mode="RGB", source="upload", label="Upload Image", optional=False)
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  outputs = gr.outputs.Image(type="pil", label="Output Image")
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+ Custom_description="Custom Training Performed on colab style='text-decoration: underline' target='_blank'>Link</a> </center><br> <center>Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors </center> <br> <b>1st</b> class is for Person Detected<br><b>2nd</b> class is for Car Detected"
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  Footer = (
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+ "MOdel train on our custome dataset")
 
 
 
 
 
 
 
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  examples1=[["Image1.jpeg"],["Image2.jpeg"],["Image3.jpeg"],["Image4.jpeg"],["Image5.jpeg"],["Image6.jpeg"],["horses.jpeg"],["horses.jpeg"]]
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+ Top_Title="<center>Yolov7 🚀 Custom Trained style='text-decoration: underline' target='_blank'></center></a>Face with mask and face without mask Detection"
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  css = ".output-image, .input-image {height: 50rem !important; width: 100% !important;}"
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  css = ".image-preview {height: auto !important;}"
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