File size: 751 Bytes
5bf84ff 9b1d8f1 5bf84ff 9b1d8f1 5bf84ff 9b1d8f1 5bf84ff |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 |
import gradio as gr
import yolov5
import os
from transformers import pipeline
#ImageClassifier = pipeline(task="image-classification", model="")
model = yolov5.load('./gentle-meadow.pt', device='cpu')
def predict(image):
results = model([image], size=224)
#predictions = imageClassifier(image)
# classMappings = {
# 'police': "Police / Authorized Personnel",
# 'public': 'Unauthorized Person'
# }
# output = {}
# for item in predictions:
# output[classMappings[item['label']]] = item['score']
return results.render()[0]
demo = gr.Interface(fn=predict,
inputs=gr.inputs.Image(type="pil"),
outputs=gr.outputs.Image(type="pil"),
)
demo.launch() |