664 lines
25 KiB
Rust
664 lines
25 KiB
Rust
use anyhow::{Context, Result};
|
||
use chrono::Utc;
|
||
use log::{debug, error, info, warn};
|
||
use std::path::PathBuf;
|
||
use std::sync::{Arc, Mutex};
|
||
use std::time::Duration;
|
||
use tokio::sync::broadcast;
|
||
use tokio::time;
|
||
|
||
use crate::camera::frame_buffer::{Frame, FrameBuffer, SharedFrameBuffer};
|
||
use crate::camera::opencv::{OpenCVCamera, OpenCVCaptureStream};
|
||
use crate::camera::{CameraSettings, ExposureMode, MeteorEvent, Resolution};
|
||
|
||
/// Camera controller manages camera operations and frame capture
|
||
pub struct CameraController {
|
||
/// Camera settings
|
||
settings: CameraSettings,
|
||
/// The OpenCV camera driver
|
||
camera: Option<OpenCVCamera>,
|
||
/// The OpenCV capture stream
|
||
stream: Option<OpenCVCaptureStream>,
|
||
/// Circular buffer for storing recent frames
|
||
frame_buffer: SharedFrameBuffer,
|
||
/// Frame counter
|
||
frame_count: u64,
|
||
/// Whether the camera is currently running
|
||
is_running: bool,
|
||
/// Channel for broadcasting new frames
|
||
frame_tx: broadcast::Sender<Frame>,
|
||
/// Path to save event videos
|
||
events_dir: PathBuf,
|
||
}
|
||
|
||
impl CameraController {
|
||
/// Create a new camera controller with the given configuration
|
||
pub async fn new(config: &crate::config::Config) -> Result<Self> {
|
||
// Extract camera settings from config (placeholder for now)
|
||
let settings = config.clone().camera;
|
||
|
||
// Create frame buffer with capacity for 10 minutes of video at settings.fps
|
||
let buffer_capacity = (10 * 60 * settings.fps) as usize;
|
||
let frame_buffer = Arc::new(FrameBuffer::new(buffer_capacity));
|
||
|
||
// Create broadcast channel for frames
|
||
let (frame_tx, _) = broadcast::channel(30);
|
||
|
||
// Create events directory if it doesn't exist
|
||
let events_dir = PathBuf::from("events");
|
||
std::fs::create_dir_all(&events_dir).context("Failed to create events directory")?;
|
||
|
||
Ok(Self {
|
||
settings,
|
||
camera: None,
|
||
stream: None,
|
||
frame_buffer,
|
||
frame_count: 0,
|
||
is_running: false,
|
||
frame_tx,
|
||
events_dir,
|
||
})
|
||
}
|
||
|
||
/// Initialize the camera with current settings
|
||
pub async fn initialize(&mut self) -> Result<()> {
|
||
// 使用私有方法实现递归安全的异步初始化
|
||
self.initialize_impl().await
|
||
}
|
||
|
||
/// 内部实现，用于避免异步递归导致的无限大小 future 问题
|
||
async fn initialize_impl(&mut self) -> Result<()> {
|
||
// Open the camera
|
||
let mut camera =
|
||
OpenCVCamera::open(&self.settings.device).context("Failed to open camera")?;
|
||
|
||
// Configure camera parameters
|
||
camera
|
||
.set_format(self.settings.resolution)
|
||
.context("Failed to set camera format")?;
|
||
|
||
camera
|
||
.set_fps(self.settings.fps)
|
||
.context("Failed to set camera FPS")?;
|
||
|
||
camera
|
||
.set_exposure(self.settings.exposure)
|
||
.context("Failed to set camera exposure")?;
|
||
|
||
camera
|
||
.set_gain(self.settings.gain)
|
||
.context("Failed to set camera gain")?;
|
||
|
||
if self.settings.focus_locked {
|
||
camera
|
||
.lock_focus_at_infinity()
|
||
.context("Failed to lock focus at infinity")?;
|
||
}
|
||
|
||
// 给相机一点时间初始化
|
||
info!("Waiting for camera to stabilize...");
|
||
tokio::time::sleep(tokio::time::Duration::from_millis(500)).await;
|
||
|
||
// 尝试拍摄测试帧以确保相机设置正确
|
||
info!("Testing camera by capturing a test frame...");
|
||
|
||
// 直接使用已打开的主相机实例捕获测试帧，避免同时打开两个相机实例
|
||
let test_frame_result = camera.capture_test_frame();
|
||
|
||
// 处理测试帧结果
|
||
match test_frame_result {
|
||
Ok(_) => {
|
||
info!("Successfully captured test frame - camera is working correctly");
|
||
},
|
||
Err(e) => {
|
||
error!("Failed to capture test frame: {}", e);
|
||
|
||
// 检查是否在树莓派上，以及是否已经使用GStreamer
|
||
let is_raspberry_pi = std::fs::read_to_string("/proc/cpuinfo")
|
||
.map(|content| content.contains("Raspberry Pi") || content.contains("BCM"))
|
||
.unwrap_or(false);
|
||
|
||
if is_raspberry_pi && !self.settings.device.contains("!") {
|
||
// 在树莓派上但没有使用GStreamer pipeline，尝试使用pipeline重新初始化
|
||
warn!("Running on Raspberry Pi without GStreamer pipeline. Attempting to reinitialize with GStreamer...");
|
||
|
||
// 创建更简单的GStreamer pipeline
|
||
let pipeline = "v4l2src ! videoconvert ! appsink".to_string();
|
||
|
||
info!("Trying simple GStreamer pipeline: {}", pipeline);
|
||
self.settings.device = pipeline;
|
||
|
||
// 使用 Box::pin 来解决递归 async 调用问题
|
||
// 这样创建一个固定大小的 future
|
||
return Box::pin(self.initialize_impl()).await;
|
||
}
|
||
|
||
return Err(anyhow::anyhow!("Camera initialization failed: {}", e));
|
||
}
|
||
}
|
||
|
||
// 给设备一点时间完全释放资源
|
||
tokio::time::sleep(tokio::time::Duration::from_millis(500)).await;
|
||
|
||
self.camera = Some(camera);
|
||
info!("Camera initialized successfully");
|
||
|
||
Ok(())
|
||
}
|
||
|
||
/// Start camera capture in a background task
|
||
pub async fn start_capture(&mut self) -> Result<()> {
|
||
// 使用私有方法实现递归安全的异步函数
|
||
self.start_capture_impl().await
|
||
}
|
||
|
||
/// 内部实现，用于避免异步递归导致的无限大小 future 问题
|
||
async fn start_capture_impl(&mut self) -> Result<()> {
|
||
if self.is_running {
|
||
warn!("Camera capture is already running");
|
||
return Ok(());
|
||
}
|
||
|
||
let camera = self
|
||
.camera
|
||
.as_mut()
|
||
.ok_or_else(|| anyhow::anyhow!("Camera not initialized"))?;
|
||
|
||
// 使用已有的相机实例，避免资源冲突
|
||
let camera_ref = self
|
||
.camera
|
||
.as_mut()
|
||
.ok_or_else(|| anyhow::anyhow!("Camera not initialized"))?;
|
||
|
||
// 确保相机没有在流式传输
|
||
if camera_ref.is_streaming() {
|
||
camera_ref.stop_streaming()?;
|
||
|
||
// 等待资源释放
|
||
tokio::time::sleep(tokio::time::Duration::from_millis(300)).await;
|
||
}
|
||
|
||
// 直接使用现有实例启动流
|
||
info!("Starting camera streaming with device: {}", self.settings.device);
|
||
let stream_result = camera_ref.start_streaming();
|
||
|
||
let mut stream = match stream_result {
|
||
Ok(stream) => stream,
|
||
Err(e) => {
|
||
error!("Failed to start camera streaming: {}", e);
|
||
|
||
// 检测是否在树莓派上
|
||
let is_raspberry_pi = std::fs::read_to_string("/proc/cpuinfo")
|
||
.map(|content| content.contains("Raspberry Pi") || content.contains("BCM"))
|
||
.unwrap_or(false);
|
||
|
||
if is_raspberry_pi && !self.settings.device.contains("!") {
|
||
// 在树莓派上但没有使用GStreamer pipeline，尝试使用pipeline重新初始化
|
||
warn!("Running on Raspberry Pi without GStreamer pipeline. Attempting to reinitialize camera with GStreamer...");
|
||
|
||
// 创建更简单的GStreamer pipeline
|
||
let pipeline = format!("v4l2src device={} ! videoconvert ! appsink",
|
||
extract_device_path(&self.settings.device).unwrap_or("/dev/video0".to_string()));
|
||
|
||
info!("Trying GStreamer pipeline: {}", pipeline);
|
||
self.settings.device = pipeline;
|
||
|
||
// 使用 Box::pin 来解决递归 async 调用问题
|
||
return Box::pin(self.start_capture_impl()).await;
|
||
}
|
||
|
||
return Err(anyhow::anyhow!("Failed to start camera streaming: {}", e));
|
||
}
|
||
};
|
||
|
||
// 保存新的相机实例
|
||
self.camera = Some(new_camera);
|
||
|
||
// 先保存一个测试帧副本
|
||
let test_frame = match stream.capture_frame() {
|
||
Ok(frame) => {
|
||
info!("Successfully captured test frame from stream - camera stream is working correctly");
|
||
Some(frame)
|
||
},
|
||
Err(e) => {
|
||
error!("Test frame capture failed: {}", e);
|
||
return Err(anyhow::anyhow!("Camera stream test failed: {}", e));
|
||
}
|
||
};
|
||
|
||
// 现在可以安全地移动stream的所有权
|
||
self.stream = Some(stream);
|
||
self.is_running = true;
|
||
|
||
// 如果有测试帧，则处理它（如果需要）
|
||
if test_frame.is_some() {
|
||
debug!("Test frame was successfully captured");
|
||
}
|
||
|
||
// Clone necessary values for the capture task
|
||
let frame_buffer = self.frame_buffer.clone();
|
||
let frame_tx = self.frame_tx.clone();
|
||
let fps = self.settings.fps;
|
||
let device = self.settings.device.clone(); // 复制设备路径用于恢复
|
||
let mut stream = self
|
||
.stream
|
||
.take()
|
||
.expect("Stream just initialized but is None");
|
||
let mut frame_count = self.frame_count;
|
||
|
||
// Start capture task
|
||
tokio::spawn(async move {
|
||
let frame_interval = Duration::from_secs_f64(1.0 / fps as f64);
|
||
let mut interval = time::interval(frame_interval);
|
||
|
||
// Error tracking for recovery
|
||
let mut consecutive_errors = 0;
|
||
const ERROR_THRESHOLD: u32 = 10; // After 10 errors, try to reinitialize
|
||
|
||
info!("Starting camera capture at {} fps", fps);
|
||
|
||
loop {
|
||
interval.tick().await;
|
||
|
||
match stream.capture_frame() {
|
||
Ok(mat) => {
|
||
// Reset error counter on success
|
||
consecutive_errors = 0;
|
||
|
||
// Create a new frame with timestamp
|
||
let frame = Frame::new(mat, Utc::now(), frame_count);
|
||
frame_count += 1;
|
||
|
||
// Add to frame buffer
|
||
if let Err(e) = frame_buffer.push(frame.clone()) {
|
||
error!("Failed to add frame to buffer: {}", e);
|
||
}
|
||
|
||
// Broadcast frame to listeners
|
||
let _ = frame_tx.send(frame);
|
||
}
|
||
Err(e) => {
|
||
error!("Failed to capture frame: {}", e);
|
||
consecutive_errors += 1;
|
||
|
||
if consecutive_errors >= ERROR_THRESHOLD {
|
||
error!("Too many consecutive errors ({}), attempting to reinitialize camera stream", consecutive_errors);
|
||
|
||
// 检测是否在树莓派上
|
||
let is_raspberry_pi = std::fs::read_to_string("/proc/cpuinfo")
|
||
.map(|content| content.contains("Raspberry Pi") || content.contains("BCM"))
|
||
.unwrap_or(false);
|
||
|
||
// 判断是否需要尝试GStreamer
|
||
let use_gstreamer = is_raspberry_pi && !device.contains("!");
|
||
|
||
if use_gstreamer {
|
||
// 创建更简单的GStreamer pipeline
|
||
let pipeline = "v4l2src ! videoconvert ! appsink".to_string();
|
||
|
||
error!("Raspberry Pi detected - trying simple GStreamer pipeline: {}", pipeline);
|
||
|
||
// 尝试使用GStreamer打开摄像头
|
||
match OpenCVCamera::open(&pipeline) {
|
||
Ok(mut camera) => {
|
||
// 配置最低限度设置
|
||
let _ = camera.set_format(Resolution::HD720p);
|
||
let _ = camera.set_fps(fps);
|
||
|
||
// 尝试重新启动流
|
||
match camera.start_streaming() {
|
||
Ok(new_stream) => {
|
||
info!("Successfully reinitialized camera stream with GStreamer");
|
||
stream = new_stream;
|
||
consecutive_errors = 0;
|
||
},
|
||
Err(e) => error!("Failed to restart camera streaming with GStreamer: {}", e)
|
||
}
|
||
},
|
||
Err(e) => error!("Failed to reopen camera with GStreamer: {}", e)
|
||
}
|
||
} else {
|
||
// 使用原始设备路径重新创建流
|
||
match OpenCVCamera::open(&device) {
|
||
Ok(mut camera) => {
|
||
// 配置最低限度设置
|
||
let _ = camera.set_format(Resolution::HD720p);
|
||
let _ = camera.set_fps(fps);
|
||
|
||
// 尝试重新启动流
|
||
match camera.start_streaming() {
|
||
Ok(new_stream) => {
|
||
info!("Successfully reinitialized camera stream");
|
||
stream = new_stream;
|
||
consecutive_errors = 0;
|
||
},
|
||
Err(e) => error!("Failed to restart camera streaming: {}", e)
|
||
}
|
||
},
|
||
Err(e) => error!("Failed to reopen camera: {}", e)
|
||
}
|
||
}
|
||
}
|
||
|
||
// Small delay to avoid tight error loop
|
||
time::sleep(Duration::from_millis(100)).await;
|
||
}
|
||
}
|
||
}
|
||
});
|
||
|
||
info!("Camera capture started");
|
||
Ok(())
|
||
}
|
||
|
||
/// Stop camera capture
|
||
pub async fn stop_capture(&mut self) -> Result<()> {
|
||
if !self.is_running {
|
||
warn!("Camera capture is not running");
|
||
return Ok(());
|
||
}
|
||
|
||
// The stream will be stopped when dropped
|
||
self.stream = None;
|
||
|
||
if let Some(camera) = &mut self.camera {
|
||
camera.stop_streaming()?;
|
||
}
|
||
|
||
self.is_running = false;
|
||
info!("Camera capture stopped");
|
||
|
||
Ok(())
|
||
}
|
||
|
||
/// Get a subscriber to receive new frames
|
||
pub fn subscribe_to_frames(&self) -> broadcast::Receiver<Frame> {
|
||
self.frame_tx.subscribe()
|
||
}
|
||
|
||
/// Get a clone of the frame buffer
|
||
pub fn get_frame_buffer(&self) -> SharedFrameBuffer {
|
||
self.frame_buffer.clone()
|
||
}
|
||
|
||
/// Check if the camera is currently running
|
||
pub fn is_running(&self) -> bool {
|
||
self.is_running
|
||
}
|
||
|
||
/// Update camera settings
|
||
pub async fn update_settings(&mut self, new_settings: CameraSettings) -> Result<()> {
|
||
// If camera is running, we need to stop it first
|
||
let was_running = self.is_running();
|
||
if was_running {
|
||
self.stop_capture().await?;
|
||
}
|
||
|
||
// Update settings
|
||
self.settings = new_settings;
|
||
|
||
// Re-initialize camera with new settings
|
||
if let Some(mut camera) = self.camera.take() {
|
||
// Configure camera parameters
|
||
camera.set_format(self.settings.resolution)?;
|
||
camera.set_fps(self.settings.fps)?;
|
||
camera.set_exposure(self.settings.exposure)?;
|
||
camera.set_gain(self.settings.gain)?;
|
||
|
||
if self.settings.focus_locked {
|
||
camera.lock_focus_at_infinity()?;
|
||
}
|
||
|
||
self.camera = Some(camera);
|
||
} else {
|
||
self.initialize_impl().await?;
|
||
}
|
||
|
||
// Restart if it was running
|
||
if was_running {
|
||
self.start_capture_impl().await?;
|
||
}
|
||
|
||
info!("Camera settings updated");
|
||
Ok(())
|
||
}
|
||
|
||
/// Save a meteor event with video
|
||
pub async fn save_meteor_event(
|
||
&self,
|
||
timestamp: chrono::DateTime<Utc>,
|
||
confidence: f32,
|
||
bounding_box: (u32, u32, u32, u32),
|
||
seconds_before: i64,
|
||
seconds_after: i64,
|
||
) -> Result<MeteorEvent> {
|
||
// Extract frames from the buffer
|
||
let frames =
|
||
self.frame_buffer
|
||
.extract_event_frames(timestamp, seconds_before, seconds_after);
|
||
|
||
if frames.is_empty() {
|
||
return Err(anyhow::anyhow!("No frames found for event"));
|
||
}
|
||
|
||
// Create a unique ID for the event
|
||
let event_id = uuid::Uuid::new_v4();
|
||
|
||
// Create a directory for the event
|
||
let event_dir = self.events_dir.join(event_id.to_string());
|
||
std::fs::create_dir_all(&event_dir).context("Failed to create event directory")?;
|
||
|
||
// Save frames to the event directory
|
||
for (i, frame) in frames.iter().enumerate() {
|
||
let frame_path = event_dir.join(format!("frame_{:04}.jpg", i));
|
||
frame.save_to_file(&frame_path)?;
|
||
}
|
||
|
||
// Create a video file name
|
||
let video_path = event_dir.join("event.mp4").to_string_lossy().to_string();
|
||
|
||
// Use tokio::process to call FFmpeg to convert frames to video
|
||
use tokio::process::Command;
|
||
|
||
info!("Converting frames to video using FFmpeg");
|
||
let ffmpeg_result = Command::new("ffmpeg")
|
||
.args(&[
|
||
"-y", // Overwrite output file if it exists
|
||
"-framerate", &self.settings.fps.to_string(),
|
||
"-i", &event_dir.join("frame_%04d.jpg").to_string_lossy(),
|
||
"-c:v", "libx264",
|
||
"-preset", "medium",
|
||
"-crf", "23",
|
||
&video_path
|
||
])
|
||
.output()
|
||
.await;
|
||
|
||
match ffmpeg_result {
|
||
Ok(output) => {
|
||
if !output.status.success() {
|
||
let stderr = String::from_utf8_lossy(&output.stderr);
|
||
warn!("FFmpeg warning: {}", stderr);
|
||
} else {
|
||
info!("Successfully created video at: {}", video_path);
|
||
}
|
||
},
|
||
Err(e) => {
|
||
warn!("Failed to execute FFmpeg: {}. Video will not be created, only individual frames saved.", e);
|
||
}
|
||
}
|
||
|
||
// Create and return the event
|
||
let event = MeteorEvent {
|
||
id: event_id,
|
||
timestamp,
|
||
confidence,
|
||
bounding_box,
|
||
video_path,
|
||
};
|
||
|
||
info!("Saved meteor event: {}", event_id);
|
||
Ok(event)
|
||
}
|
||
|
||
/// Check the health of the camera system
|
||
pub async fn check_health(&self) -> Result<bool> {
|
||
// If camera is not running, consider it healthy
|
||
if !self.is_running {
|
||
return Ok(true);
|
||
}
|
||
|
||
// Check if we've received frames recently
|
||
if let Some(frame) = self.frame_buffer.get(0) {
|
||
let now = Utc::now();
|
||
let elapsed = now.signed_duration_since(frame.timestamp);
|
||
|
||
// If no new frames in last 5 seconds, camera may be stuck
|
||
if elapsed.num_seconds() > 5 {
|
||
warn!("Camera health check: No new frames received in {} seconds", elapsed.num_seconds());
|
||
return Ok(false);
|
||
}
|
||
} else if self.is_running {
|
||
// If no frames at all but camera is running, something is wrong
|
||
warn!("Camera health check: Camera is running but no frames in buffer");
|
||
return Ok(false);
|
||
}
|
||
|
||
// All checks passed
|
||
Ok(true)
|
||
}
|
||
|
||
/// Get the current status of the camera
|
||
pub async fn get_status(&self) -> Result<serde_json::Value> {
|
||
let frame_buffer_stats = {
|
||
let buffer = self.frame_buffer.clone();
|
||
let length = buffer.len();
|
||
let capacity = buffer.capacity();
|
||
|
||
serde_json::json!({
|
||
"length": length,
|
||
"capacity": capacity,
|
||
"utilization_percent": if capacity > 0 { (length as f64 / capacity as f64) * 100.0 } else { 0.0 }
|
||
})
|
||
};
|
||
|
||
let recent_frame = {
|
||
// Get the most recent frame (index 0)
|
||
if let Some(frame) = self.frame_buffer.get(0) {
|
||
let timestamp = frame.timestamp.to_rfc3339();
|
||
|
||
serde_json::json!({
|
||
"timestamp": timestamp,
|
||
"frame_number": frame.index
|
||
})
|
||
} else {
|
||
serde_json::json!(null)
|
||
}
|
||
};
|
||
|
||
let camera_info = {
|
||
serde_json::json!({
|
||
"device": self.settings.device,
|
||
"resolution": format!("{:?}", self.settings.resolution),
|
||
"fps": self.settings.fps,
|
||
"exposure_mode": format!("{:?}", self.settings.exposure),
|
||
"gain": self.settings.gain,
|
||
"focus_locked": self.settings.focus_locked
|
||
})
|
||
};
|
||
|
||
let status = serde_json::json!({
|
||
"running": self.is_running,
|
||
"frame_count": self.frame_count,
|
||
"settings": {
|
||
"device": self.settings.device,
|
||
"resolution": format!("{:?}", self.settings.resolution),
|
||
"fps": self.settings.fps
|
||
},
|
||
"camera_info": camera_info,
|
||
"frame_buffer": frame_buffer_stats,
|
||
"recent_frame": recent_frame,
|
||
"events_dir": self.events_dir.to_string_lossy()
|
||
});
|
||
|
||
debug!("Camera status: {}", status);
|
||
Ok(status)
|
||
}
|
||
}
|
||
|
||
/// 从设备字符串中提取/dev/video设备路径
|
||
fn extract_device_path(device_str: &str) -> Result<String, anyhow::Error> {
|
||
// 如果是简单的/dev/video路径，直接返回
|
||
if device_str.starts_with("/dev/video") {
|
||
return Ok(device_str.to_string());
|
||
}
|
||
|
||
// 如果是GStreamer pipeline，尝试提取device参数
|
||
if device_str.contains("v4l2src") && device_str.contains("device=") {
|
||
// 匹配device=/dev/videoX 格式
|
||
if let Some(start_idx) = device_str.find("device=") {
|
||
let device_part = &device_str[start_idx + 7..]; // "device=".len() == 7
|
||
|
||
// 如果device路径用引号括起来
|
||
if device_part.starts_with('"') || device_part.starts_with('\'') {
|
||
let quote = device_part.chars().next().unwrap();
|
||
if let Some(end_idx) = device_part[1..].find(quote) {
|
||
return Ok(device_part[1..=end_idx].to_string());
|
||
}
|
||
}
|
||
// 否则找到下一个空格或感叹号
|
||
else if let Some(end_idx) = device_part.find(|c| c == ' ' || c == '!') {
|
||
return Ok(device_part[..end_idx].to_string());
|
||
} else {
|
||
// 如果没有终止符，假设它是整个剩余部分
|
||
return Ok(device_part.to_string());
|
||
}
|
||
}
|
||
}
|
||
|
||
// 没找到设备路径，返回默认值
|
||
Err(anyhow::anyhow!("Could not extract device path from: {}", device_str))
|
||
}
|
||
|
||
impl Drop for CameraController {
|
||
fn drop(&mut self) {
|
||
info!("Cleaning up camera controller resources");
|
||
|
||
// Stop streaming if running
|
||
if self.is_running {
|
||
// Use block_in_place since drop can't be async
|
||
if let Err(e) = tokio::task::block_in_place(|| {
|
||
futures::executor::block_on(self.stop_capture())
|
||
}) {
|
||
error!("Error stopping camera during cleanup: {}", e);
|
||
}
|
||
}
|
||
|
||
// Release camera resources
|
||
self.camera = None;
|
||
self.stream = None;
|
||
|
||
info!("Camera controller resources released");
|
||
}
|
||
}
|
||
|
||
|
||
// 为CameraController实现Clone trait
|
||
impl Clone for CameraController {
|
||
fn clone(&self) -> Self {
|
||
// 创建新的广播通道
|
||
let (frame_tx, _) = tokio::sync::broadcast::channel(30);
|
||
|
||
Self {
|
||
settings: self.settings.clone(),
|
||
camera: None, // 不克隆相机实例，因为它包含底层资源
|
||
stream: None, // 不克隆流，因为它也包含底层资源
|
||
frame_buffer: self.frame_buffer.clone(),
|
||
frame_count: self.frame_count,
|
||
is_running: self.is_running,
|
||
frame_tx, // 使用新创建的广播通道
|
||
events_dir: self.events_dir.clone(),
|
||
}
|
||
}
|
||
}
|