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import time
import gradio as gr
import cv2 as cv
from ultralytics import YOLO
# Global variables to control the process
process = False
model = None
def load_yolo_model():
return YOLO('yolov8n-seg.pt')
def resize_frame(frame, width=1280):
height, width = frame.shape[:2]
new_height = int(height * width / float(width))
return cv.resize(frame, (width, new_height))
def process_frame(frame):
global model
frame = resize_frame(frame)
start = time.perf_counter()
results = model(frame)
end = time.perf_counter()
segments = results[0].plot()
return segments, f'FPS: {int(1 // (end - start))}'
def process_inputs(start_button, stop_button, mode_selection, frame, uploaded_video):
global process, model
if start_button and mode_selection:
process = True
model = load_yolo_model()
if mode_selection == "Webcam" and frame is not None:
return process_frame(frame)
elif mode_selection == "Video" and uploaded_video is not None:
return process_frame(uploaded_video)
elif stop_button:
process = False
start_button = gr.inputs.Button(label="Start")
stop_button = gr.inputs.Button(label="Stop")
mode_selection = gr.inputs.Radio(["Webcam", "Video"], label="Mode Selection")
frame = gr.inputs.Video(shape=(720, 1280), label="Webcam Feed")
uploaded_video = gr.inputs.Video(shape=(720, 1280), label="Upload Video")
iface = gr.Interface(
fn=process_inputs,
inputs=[start_button, stop_button, mode_selection, frame, uploaded_video],
outputs=[gr.outputs.Image(), gr.outputs.Textbox()],
live=True,
title="YOLO Image Segmentation",
description="This application uses the YOLO model to perform image segmentation on a webcam feed or an uploaded video. Select 'Webcam' or 'Video', upload a video (if applicable), and click 'Start' to begin. Click 'Stop' to end the process.",
theme="huggingface"
)
iface.launch()
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