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import time
import gradio as gr
import cv2 as cv
from ultralytics import YOLO
def load_yolo_model():
return YOLO()
def process_video(model, cap):
while cap.isOpened():
ret, image = cap.read()
if not ret:
break
start = time.perf_counter()
results = model(image)
end = time.perf_counter()
segments = results[0].plot()
cv.putText(segments, f'FPS: {int(1 // (end - start))}', (10, 30),
cv.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
cv.imshow('Image Segmentation', segments)
key = cv.waitKey(1)
if key & 0xFF == ord('q'):
break
cap.release()
cv.destroyAllWindows()
def segment_video(uploaded_video):
model = load_yolo_model()
cap = cv.VideoCapture(uploaded_video.name)
process_video(model, cap)
def segment_webcam():
model = load_yolo_model()
cap = cv.VideoCapture(0)
process_video(model, cap)
def wrapper_for_segment_video(uploaded_video):
segment_video(uploaded_video)
iface = gr.Interface(
fn=None,
inputs=[gr.inputs.Checkbox(label="Segment Video"),
gr.inputs.Checkbox(label="Segment Webcam"),
gr.inputs.File(label="Upload Video")],
outputs=None,
live=True
)
def update_fn(segment_video_checkbox, segment_webcam_checkbox, uploaded_video):
if segment_video_checkbox and uploaded_video:
iface.fn = wrapper_for_segment_video
iface.args = [uploaded_video]
elif segment_webcam_checkbox:
iface.fn = segment_webcam
iface.args = []
else:
iface.fn = None
iface.update(update_fn)
iface.launch()
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