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import subprocess | |
import tempfile | |
import time | |
from pathlib import Path | |
import cv2 | |
import gradio as gr | |
import torch | |
from inferer import Inferer | |
pipeline = Inferer(pipeline = Inferer(predict.py, model='yolov8x6.pt', source='webcam')) | |
def fn_image(image): | |
return pipeline(image) | |
gr.Interface( | |
fn_image, | |
inputs=[ | |
gr.Image(source='webcam', streaming=True), | |
], | |
outputs=gr.Image(type="file"), | |
live=True, | |
title="YOLOv8", | |
allow_flagging=False, | |
allow_screenshot=False, | |
) |