72 lines
2.0 KiB
Python
72 lines
2.0 KiB
Python
# app.py
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import streamlit as st
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import cv2
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from datetime import datetime
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from fish_tracker import FishTracker
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from history_manager import FishHistoryManager
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def main():
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st.set_page_config(layout="wide")
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st.title("🐟 观赏鱼健康监控系统（笔记本版）")
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# 初始化模型（只加载一次）
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if 'tracker' not in st.session_state:
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st.session_state.tracker = FishTracker()
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if 'history' not in st.session_state:
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st.session_state.history = FishHistoryManager()
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tracker = st.session_state.tracker
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history = st.session_state.history
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# 视频显示区域
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frame_placeholder = st.empty()
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alert_placeholder = st.empty()
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report_placeholder = st.empty()
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# 打开摄像头
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cap = cv2.VideoCapture(0)
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if not cap.isOpened():
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st.error("❌ 无法打开摄像头，请检查设备权限。")
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return
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cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1280)
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cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 720)
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try:
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while True:
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ret, frame = cap.read()
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if not ret:
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st.warning("摄像头读取失败")
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break
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# 处理帧
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output_frame, alerts, track_stats = tracker.process_frame(frame)
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now = datetime.now()
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history.update(track_stats, now)
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report_path = history.maybe_generate_report(now)
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# 转为 RGB 显示（Streamlit 要求）
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rgb_frame = cv2.cvtColor(output_frame, cv2.COLOR_BGR2RGB)
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frame_placeholder.image(rgb_frame, channels="RGB", width="stretch")
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# 显示告警
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if alerts:
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alert_text = "\n\n".join(alerts)
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alert_placeholder.warning(alert_text)
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else:
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alert_placeholder.empty()
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# 显示报告生成信息
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if report_path:
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report_placeholder.success(f"✅ 今日报告已生成：{report_path}")
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except KeyboardInterrupt:
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pass
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finally:
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cap.release()
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if __name__ == "__main__":
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main() |