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YoloV5-Party-Symbol-Detector-V1

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Update app.py

559e299 over 2 years ago

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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=False,share=True)