Update app.py
Browse files
app.py
CHANGED
@@ -1,4 +1,4 @@
|
|
1 |
-
import cv2
|
2 |
import numpy as np
|
3 |
import torch
|
4 |
import streamlit as st
|
@@ -42,3 +42,66 @@ if image is not None:
|
|
42 |
|
43 |
# Display the annotated image
|
44 |
st.image(cv2_img, channels="BGR", caption="Detected Fire", use_container_width=True)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
'''import cv2
|
2 |
import numpy as np
|
3 |
import torch
|
4 |
import streamlit as st
|
|
|
42 |
|
43 |
# Display the annotated image
|
44 |
st.image(cv2_img, channels="BGR", caption="Detected Fire", use_container_width=True)
|
45 |
+
'''
|
46 |
+
import cv2
|
47 |
+
import numpy as np
|
48 |
+
import torch
|
49 |
+
import streamlit as st
|
50 |
+
import pygame
|
51 |
+
from ultralytics import YOLO
|
52 |
+
from camera_input_live import camera_input_live
|
53 |
+
|
54 |
+
# Initialize Pygame mixer for audio alarm
|
55 |
+
pygame.mixer.init()
|
56 |
+
alarm_sound = "alarm.mp3" # Ensure you have an alarm.mp3 file in your directory
|
57 |
+
|
58 |
+
# Load YOLO fire detection model
|
59 |
+
model_path = "last.pt"
|
60 |
+
device = "cuda" if torch.cuda.is_available() else "cpu"
|
61 |
+
|
62 |
+
model = YOLO(model_path)
|
63 |
+
model.to(device)
|
64 |
+
|
65 |
+
# Streamlit app title
|
66 |
+
st.title("Live Fire Detection with Camera")
|
67 |
+
st.subheader("Hold the camera towards potential fire sources to detect in real-time.")
|
68 |
+
|
69 |
+
# Capture live camera input
|
70 |
+
image = camera_input_live()
|
71 |
+
fire_detected = False # Track fire detection state
|
72 |
+
|
73 |
+
if image is not None:
|
74 |
+
# Convert the image to OpenCV format
|
75 |
+
bytes_data = image.getvalue()
|
76 |
+
cv2_img = cv2.imdecode(np.frombuffer(bytes_data, np.uint8), cv2.IMREAD_COLOR)
|
77 |
+
|
78 |
+
# Perform fire detection
|
79 |
+
results = model(cv2_img)
|
80 |
+
|
81 |
+
fire_present = False # Temporary flag for fire detection in this frame
|
82 |
+
|
83 |
+
# Draw bounding boxes for detected fires
|
84 |
+
for result in results:
|
85 |
+
boxes = result.boxes
|
86 |
+
for box in boxes:
|
87 |
+
b = box.xyxy[0].cpu().numpy().astype(int)
|
88 |
+
label = f'Fire {box.conf[0]:.2f}'
|
89 |
+
cv2.rectangle(cv2_img, (b[0], b[1]), (b[2], b[3]), (0, 0, 255), 3)
|
90 |
+
cv2.putText(cv2_img, label, (b[0], b[1] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 0, 255), 2)
|
91 |
+
fire_present = True # Fire detected
|
92 |
+
|
93 |
+
# Display the annotated image
|
94 |
+
st.image(cv2_img, channels="BGR", caption="Detected Fire", use_container_width=True)
|
95 |
+
|
96 |
+
# Display logs
|
97 |
+
if fire_present:
|
98 |
+
st.error("🔥 Fire Detected! 🔥")
|
99 |
+
if not fire_detected: # Play alarm if not already playing
|
100 |
+
pygame.mixer.music.load(alarm_sound)
|
101 |
+
pygame.mixer.music.play(-1) # Loop indefinitely
|
102 |
+
fire_detected = True # Update fire status
|
103 |
+
else:
|
104 |
+
st.success("✅ No Fire Detected")
|
105 |
+
if fire_detected:
|
106 |
+
pygame.mixer.music.stop() # Stop alarm
|
107 |
+
fire_detected = False
|