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Update app.py
Browse filesFixed the Variable Frame issue
app.py
CHANGED
@@ -2,40 +2,57 @@ 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
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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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from services.metrics_service import update_metrics
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paused = False
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frame_rate = 1
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def monitor_feed():
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global paused
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if 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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metrics = update_metrics(detected_boxes)
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return frame[:, :, ::-1],
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with gr.Blocks() as app:
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gr.Markdown("#
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with gr.Row():
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with gr.Column(scale=3):
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video_output = gr.Image(label="Live Video Feed", elem_id="video-feed")
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with gr.Column(scale=1):
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metrics_output = gr.Label(label="
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with gr.Row():
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pause_btn = gr.Button("⏸️ Pause")
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resume_btn = gr.Button("▶️ Resume")
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frame_slider = gr.Slider(0.
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def toggle_pause():
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global paused
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@@ -55,8 +72,7 @@ with gr.Blocks() as app:
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def streaming_loop():
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while True:
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yield frame, metrics
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time.sleep(frame_rate)
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app.load(streaming_loop, outputs=[video_output, metrics_output])
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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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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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# 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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if paused:
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if os.path.exists(TEMP_IMAGE_PATH):
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frame = cv2.imread(TEMP_IMAGE_PATH)
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if frame is None:
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frame = get_next_video_frame()
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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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video_output = gr.Image(label="Live Video Feed", elem_id="video-feed", width=640, height=480)
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with gr.Column(scale=1):
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metrics_output = gr.Label(label="Live Metrics", elem_id="metrics")
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with gr.Row():
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pause_btn = gr.Button("⏸️ Pause")
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resume_btn = gr.Button("▶️ Resume")
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frame_slider = gr.Slider(0.2, 5, value=1, label="Frame Interval (seconds)")
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def toggle_pause():
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global paused
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def streaming_loop():
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while True:
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yield monitor_feed()
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time.sleep(frame_rate)
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app.load(streaming_loop, outputs=[video_output, metrics_output])
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