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import gradio as gr
import os
import torch
from PIL import Image
#subprocess.run(["mv","content/custom_data.yaml","./yolov5/data"])
def find(name, path):
for root, dirs, files in os.walk(path):
if name in files:
return os.path.join(root, name)
model = torch.hub.load('ultralytics/yolov5', 'custom', path='Content/best.pt')
model.conf = 0.38
model.hide_conf=True
#, 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/18.jpg'])
io.launch(debug=True,share=True)
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