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Update app.py
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app.py
CHANGED
@@ -2,6 +2,7 @@ import gradio as gr
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import cv2
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import time
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import os
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from services.video_service import get_next_video_frame
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from services.thermal_service import detect_thermal_anomalies
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from services.overlay_service import overlay_boxes
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@@ -10,6 +11,7 @@ from services.metrics_service import update_metrics
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# Globals
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paused = False
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frame_rate = 1
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# Constants
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TEMP_IMAGE_PATH = "temp.jpg"
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@@ -17,6 +19,7 @@ TEMP_IMAGE_PATH = "temp.jpg"
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# Core monitor function
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def monitor_feed():
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global paused
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frame = None
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@@ -30,18 +33,26 @@ def monitor_feed():
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if not paused:
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detected_boxes = detect_thermal_anomalies(frame)
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frame = overlay_boxes(frame, detected_boxes)
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cv2.imwrite(TEMP_IMAGE_PATH, frame)
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metrics = update_metrics(detected_boxes)
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else:
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metrics = update_metrics([])
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frame = cv2.resize(frame, (640, 480)) # Resize frame to fixed window size
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return frame[:, :, ::-1], metrics # BGR to RGB
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# Gradio UI
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with gr.Blocks() as app:
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gr.Markdown("# 🌐 Thermal Anomaly Monitoring Dashboard")
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with gr.Row():
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with gr.Column(scale=3):
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@@ -57,17 +68,19 @@ with gr.Blocks() as app:
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def toggle_pause():
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global paused
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paused = True
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def toggle_resume():
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global paused
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paused = False
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def set_frame_rate(val):
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global frame_rate
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frame_rate = val
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pause_btn.click(toggle_pause)
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resume_btn.click(toggle_resume)
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frame_slider.change(set_frame_rate, inputs=[frame_slider])
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def streaming_loop():
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import cv2
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import time
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import os
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from datetime import datetime
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from services.video_service import get_next_video_frame
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from services.thermal_service import detect_thermal_anomalies
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from services.overlay_service import overlay_boxes
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# Globals
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paused = False
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frame_rate = 1
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frame_count = 0
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# Constants
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TEMP_IMAGE_PATH = "temp.jpg"
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# Core monitor function
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def monitor_feed():
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global paused
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global frame_count
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frame = None
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if not paused:
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detected_boxes = detect_thermal_anomalies(frame)
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frame = overlay_boxes(frame, detected_boxes)
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cv2.imwrite(TEMP_IMAGE_PATH, frame, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
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metrics = update_metrics(detected_boxes)
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else:
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metrics = update_metrics([])
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frame = cv2.resize(frame, (640, 480)) # Resize frame to fixed window size
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# Add frame count and timestamp on frame
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frame_count += 1
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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cv2.putText(frame, f"Frame: {frame_count}", (10, 25), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
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cv2.putText(frame, f"{timestamp}", (10, 50), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
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return frame[:, :, ::-1], metrics # BGR to RGB
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# Gradio UI
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with gr.Blocks(theme=gr.themes.Soft()) as app:
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gr.Markdown("# 🌐 Thermal Anomaly Monitoring Dashboard", elem_id="main-title")
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status_text = gr.Markdown("**Status:** 🟢 Running", elem_id="status-banner")
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with gr.Row():
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with gr.Column(scale=3):
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def toggle_pause():
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global paused
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paused = True
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return "**Status:** ⏸️ Paused"
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def toggle_resume():
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global paused
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paused = False
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return "**Status:** 🟢 Running"
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def set_frame_rate(val):
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global frame_rate
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frame_rate = val
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pause_btn.click(toggle_pause, outputs=status_text)
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resume_btn.click(toggle_resume, outputs=status_text)
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frame_slider.change(set_frame_rate, inputs=[frame_slider])
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def streaming_loop():
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