app.py

from ultralytics import YOLO
from ultralytics.utils.plotting import Annotator
import streamlit as st
import cv2
from vidgear.gears import CamGear

# Membuat Streamlit UI
st.set_page_config(page_title="Ruang Belajar", layout="wide", initial_sidebar_state="expanded")

st.title('Ruang Belajar Deployment YoloV9')

# Load Model YOLOv9 
model = YOLO('yolov9c.pt')

# Membuat Function untuk plot bounding boxes pada frames
def plot_boxes(frame, model):
    results = model.predict(frame)
    annotasi = Annotator(frame)
    for r in results:
        boxes = r.boxes
        for box in boxes:
            b = box.xyxy[0]  # Box coordinat
            c = box.cls      # ID Class
            annotasi.box_label(b, model.names[int(c)])
    return annotasi.result()

# Membuat Function untuk process dan display video
def process_video(data, model, placeholder):
    if data == 'Webcam':
        camera = cv2.VideoCapture(0)  # kode webcam
    else:  # YouTube link
        camera = CamGear(source=data, stream_mode=True, logging=True).start()

    while True:
        if data == 'Webcam':
            ret, frame = camera.read()
            if not ret:
                break
        else:  # YouTube link
            frame = camera.read()
            if frame is None:
                break
        
        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        frame = plot_boxes(frame, model)
        placeholder.image(frame)

    if data == 'Webcam':
        camera.release()

# Sidebar
with st.sidebar:
    video = st.radio('Pilih data video', ['Webcam', 'YouTube'])
    link_youtube = ""
    if video == 'YouTube':
        link_youtube = st.text_input('Masukan Link Youtube', '')

# Memanggil pemrosesan data video di main area
process_placeholder = st.empty()

# Process video
with st.sidebar:
    if st.button('Start'):
        if video == 'YouTube' and link_youtube:
            process_video(link_youtube, model, process_placeholder)
        elif video == 'Webcam':
            process_video('Webcam', model, process_placeholder)
with st.sidebar:
    st.image("logo.png", use_column_width=True)