added links for test videos
Browse files
LICENSE
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MIT License
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Copyright (c) 2024 Wild Fire Tracker
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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app.py
CHANGED
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import gradio as gr
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import cv2
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import numpy as np
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@@ -24,6 +28,7 @@ class FireDetectionMCP:
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self.status_color = "#808080" # Gray
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self.last_analysis_time = 0
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self.frame_count = 0
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def analyze_frame(self, frame):
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"""Analyze frame for fire/smoke"""
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answer = vqa_processor.decode(outputs[0], skip_special_tokens=True).lower()
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# Check for fire/smoke
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fire_keywords = ['fire', 'flame', 'burning', 'blaze']
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smoke_keywords = ['smoke', 'smoky', 'vapor']
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if any(word in answer for word in fire_keywords):
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return "π₯ FIRE DETECTED", "#FF4500" # Orange
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print(f"[{datetime.now().strftime('%H:%M:%S')}] Analyzing frame {self.frame_count}...")
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self.status, self.status_color = self.analyze_frame(frame)
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self.last_analysis_time = current_time
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print(f"[{datetime.now().strftime('%H:%M:%S')}] Result: {self.status}")
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# Add status overlay
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cv2.putText(display_frame, self.status, (10, 40),
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cv2.FONT_HERSHEY_SIMPLEX, 1.0, color, 2)
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# Add
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cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 255, 255), 1)
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# Store frame
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def get_status(self):
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"""Get current status"""
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return self.status
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# Initialize MCP server
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with gr.Blocks(title="π₯ Fire Detection MCP Server", theme=gr.themes.Soft()) as interface:
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gr.Markdown("# π₯ Fire Detection MCP Server")
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gr.Markdown("Real-time fire and smoke detection from video streams (analyzes every 10 seconds)")
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gr.Markdown("β οΈ **Usage**: Upload your own video file or use live sources (webcam/RTSP). Webcam may not work on HF Spaces.")
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("### Video Source Options")
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file_types=[".mp4", ".avi", ".mov"],
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type="filepath"
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)
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upload_btn = gr.Button("π Start
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with gr.Tab("πΉ Live Sources"):
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video_input = gr.Textbox(
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placeholder="0 (webcam), rtsp://url, or path/to/video.mp4",
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value="0"
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)
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live_btn = gr.Button("π Start
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stop_btn = gr.Button("π Stop Monitoring", variant="secondary")
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# Wild Fire Tracker - Fire Detection MCP Server
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# Copyright (c) 2024 Wild Fire Tracker
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# Licensed under MIT License - see LICENSE file for details
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import gradio as gr
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import cv2
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import numpy as np
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self.status_color = "#808080" # Gray
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self.last_analysis_time = 0
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self.frame_count = 0
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self.last_detection_time = None
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def analyze_frame(self, frame):
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"""Analyze frame for fire/smoke"""
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answer = vqa_processor.decode(outputs[0], skip_special_tokens=True).lower()
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# Check for fire/smoke
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fire_keywords = ['fire', 'flame', 'burning', 'blaze', 'flames']
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smoke_keywords = ['smoke', 'smoky', 'vapor', 'fog', 'mist', 'haze', 'cloud', 'grey', 'gray']
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if any(word in answer for word in fire_keywords):
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return "π₯ FIRE DETECTED", "#FF4500" # Orange
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print(f"[{datetime.now().strftime('%H:%M:%S')}] Analyzing frame {self.frame_count}...")
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self.status, self.status_color = self.analyze_frame(frame)
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self.last_analysis_time = current_time
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self.last_detection_time = datetime.now().strftime('%H:%M:%S')
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print(f"[{datetime.now().strftime('%H:%M:%S')}] Result: {self.status}")
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# Add status overlay
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cv2.putText(display_frame, self.status, (10, 40),
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cv2.FONT_HERSHEY_SIMPLEX, 1.0, color, 2)
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# Add timestamp
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timestamp = datetime.now().strftime('%H:%M:%S')
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cv2.putText(display_frame, f"Time: {timestamp}", (10, 470),
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cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 255, 255), 1)
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# Store frame
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def get_status(self):
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"""Get current status"""
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if self.last_detection_time:
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return f"{self.status} (Last check: {self.last_detection_time})"
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return self.status
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# Initialize MCP server
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with gr.Blocks(title="π₯ Fire Detection MCP Server", theme=gr.themes.Soft()) as interface:
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gr.Markdown("# π₯ Fire Detection MCP Server")
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gr.Markdown("Real-time fire and smoke detection from video streams (analyzes every 10 seconds)")
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gr.Markdown("β οΈ **Usage**: Upload your own video file or use live sources (webcam/RTSP). It may take few seconds to load stream and show analysis. Webcam may not work on HF Spaces.")
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gr.Markdown("π **Sample Videos**: [Fire Test Video](https://www.pexels.com/video/a-man-carrying-gear-walking-away-from-a-controlled-fire-8552246/) | [Smoke Test Video](https://www.pexels.com/video/aerial-view-of-controlled-forest-fire-in-spring-31361444/)")
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("### Video Source Options")
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file_types=[".mp4", ".avi", ".mov"],
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type="filepath"
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)
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upload_btn = gr.Button("π Start Monitoring", variant="primary")
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with gr.Tab("πΉ Live Sources"):
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video_input = gr.Textbox(
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placeholder="0 (webcam), rtsp://url, or path/to/video.mp4",
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value="0"
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)
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live_btn = gr.Button("π Start Monitoring", variant="primary")
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stop_btn = gr.Button("π Stop Monitoring", variant="secondary")
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