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Runtime error
| import gradio as gr | |
| import os | |
| import torch | |
| from PIL import Image | |
| #subprocess.run(["mv","content/custom_data.yaml","./yolov5/data"]) | |
| def load_model(): | |
| ''' | |
| Loading hub model & setting the preferences for the model | |
| ''' | |
| model = torch.hub.load('ultralytics/yolov5', 'custom', path='Content/best.pt') | |
| model.conf = 0.38 | |
| model.dnn=True | |
| model.agnostic=True | |
| return model | |
| model=load_model() | |
| #, force_reload=True | |
| def detect(inp): | |
| #g = (size / max(inp.size)) #gain | |
| #im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS) # resize | |
| results = model(inp,size=640) # inference | |
| results.render() # updates results.imgs with boxes and labels | |
| return Image.fromarray(results.imgs[0]) | |
| inp = gr.inputs.Image(type="pil", label="Original Image") | |
| output = gr.outputs.Image(type="pil", label="Output Image") | |
| io=gr.Interface(fn=detect, inputs=inp, outputs=output, title='Party Symbol Detection',examples=['Content/4.jpg','Content/10.jpg','Content/18.jpg'],theme='peach') | |
| io.launch(debug=True,share=False) | |
| #examples=['Content/4.jpg','Content/10.jpg','Content/18.jpg'] | |