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Initial commit with YOLOv5 Sunspot Hunter app

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Files changed (5) hide show
  1. README.md +13 -1
  2. app.py +47 -0
  3. best.pt +3 -0
  4. example1.jpg +0 -0
  5. requirements.txt +6 -0
README.md CHANGED
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  ---
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  title: Yolov5 Sunspot Hunter
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- emoji: πŸŒ–
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  colorFrom: green
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  colorTo: blue
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  sdk: gradio
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  license: ecl-2.0
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  ---
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  title: Yolov5 Sunspot Hunter
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+ emoji: 🌟
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  colorFrom: green
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  colorTo: blue
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  sdk: gradio
 
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  license: ecl-2.0
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  ---
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+ # YOLOv5 Sunspot Hunter
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+
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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+
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+ ## Desenvolvedor
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+
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+ Desenvolvido por Ramon Mayor Martins (2023)
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+
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+ - Email: [rmayormartins@gmail.com](mailto:rmayormartins@gmail.com)
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+ - Homepage: [https://rmayormartins.github.io/](https://rmayormartins.github.io/)
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+ - Twitter: [@rmayormartins](https://twitter.com/rmayormartins)
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+ - GitHub: [https://github.com/rmayormartins](https://github.com/rmayormartins)
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+
app.py ADDED
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+ import gradio as gr
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+ import numpy as np
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+ from PIL import Image
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+ import torch
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+ import matplotlib.pyplot as plt
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+
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+ model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt')
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+
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+
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+ def detect(img):
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+
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+ img_arr = np.array(img)
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+
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+ results = model(img_arr)
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+
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+
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+ fig, ax = plt.subplots()
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+ ax.imshow(img_arr)
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+
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+
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+ for *xyxy, conf, cls in results.xyxy[0].cpu().numpy():
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+ x1, y1, x2, y2 = map(int, xyxy)
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+ label = model.names[int(cls)]
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+ ax.add_patch(plt.Rectangle((x1, y1), x2-x1, y2-y1, fill=False, color='red', linewidth=2))
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+ ax.text(x1, y1, f'{label} {conf:.2f}', color='white', fontsize=8, bbox={'facecolor': 'red', 'alpha': 0.5})
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+
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+ plt.axis('off')
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+
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+
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+ fig.canvas.draw()
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+ pil_img = Image.fromarray(np.array(fig.canvas.renderer._renderer))
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+ plt.close(fig)
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+
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+ return pil_img
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+
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+ #Gradio
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+ iface = gr.Interface(
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+ fn=detect,
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+ inputs=gr.Image(type="pil"),
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+ outputs=gr.Image(type="pil"),
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+ title="YOLOv5 Sun Spot Hunter",
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+ description="Object detector (solar spot/sunspot hunter) trained using YOLOv5 and labeled in Makesense.ai",
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+ examples=[["example1.jpg"]]
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+ )
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+
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+
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+ iface.launch(debug=True)
best.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:40be2dbf0abbfb9465a1c4712e4d4d1c552e45bdbc4f309ce617760352605739
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+ size 14443816
example1.jpg ADDED
requirements.txt ADDED
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+ gradio
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+ torch
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+ numpy
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+ Pillow
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+ matplotlib
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+