x-tracker / camera.py
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feat(restore): restore original high-speed Docker x-tracker with T4 CUDA GPU acceleration and zero NSFW tracking
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import threading
import time
from typing import Optional, Tuple
import cv2
class CameraManager:
def __init__(self, device_index: int = 0, width: int = 1280, height: int = 720):
self.device_index = device_index
self.target_width = width
self.target_height = height
self.cap: Optional[cv2.VideoCapture] = None
self.thread: Optional[threading.Thread] = None
self.running = False
self.lock = threading.Lock()
self.latest_raw_frame = None
self.latest_jpeg: Optional[bytes] = None
self.actual_width = 0
self.actual_height = 0
self.fps = 0.0
self.client_count = 0
self.started_at: Optional[float] = None
self.new_frame_event = threading.Event()
def start(self) -> Tuple[bool, str]:
with self.lock:
if self.running:
return True, "Camera already running"
try:
cap = cv2.VideoCapture(self.device_index, cv2.CAP_V4L2)
if not cap.isOpened():
cap = cv2.VideoCapture(self.device_index)
if not cap.isOpened():
return False, f"Could not open video device /dev/video{self.device_index}"
# Configure optimal 720p MJPEG hardware capture
cap.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc(*'MJPG'))
cap.set(cv2.CAP_PROP_FRAME_WIDTH, self.target_width)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, self.target_height)
cap.set(cv2.CAP_PROP_FPS, 30)
ret, frame = cap.read()
if not ret or frame is None:
cap.release()
return False, "Failed to read initial frame from camera sensor"
h, w = frame.shape[:2]
self.actual_width = w
self.actual_height = h
self.cap = cap
self.running = True
self.started_at = time.time()
self.thread = threading.Thread(target=self._capture_loop, daemon=True)
self.thread.start()
return True, f"Camera started successfully ({w}x{h})"
except Exception as e:
if self.cap:
self.cap.release()
self.cap = None
return False, f"Exception while opening camera: {str(e)}"
def stop(self) -> Tuple[bool, str]:
with self.lock:
if not self.running:
return True, "Camera is already in standby"
self.running = False
self.new_frame_event.set()
if self.thread:
self.thread.join(timeout=2.0)
self.thread = None
with self.lock:
if self.cap:
self.cap.release()
self.cap = None
self.latest_jpeg = None
self.latest_raw_frame = None
self.fps = 0.0
self.started_at = None
return True, "Camera put into standby, device released"
def _capture_loop(self):
frame_counter = 0
fps_timer = time.time()
while self.running and self.cap and self.cap.isOpened():
ret, frame = self.cap.read()
if not ret or frame is None:
time.sleep(0.01)
continue
# Encode frame to JPEG
ret_enc, jpeg = cv2.imencode('.jpg', frame, [int(cv2.IMWRITE_JPEG_QUALITY), 85])
if ret_enc:
jpeg_bytes = jpeg.tobytes()
with self.lock:
self.latest_raw_frame = frame
self.latest_jpeg = jpeg_bytes
# Signal new frame to waiting stream clients
self.new_frame_event.set()
self.new_frame_event.clear()
frame_counter += 1
now = time.time()
if now - fps_timer >= 1.0:
self.fps = round(frame_counter / (now - fps_timer), 1)
frame_counter = 0
fps_timer = now
# Cleanup if exited loop
with self.lock:
if self.cap:
self.cap.release()
self.cap = None
def get_latest_jpeg(self) -> Optional[bytes]:
with self.lock:
return self.latest_jpeg
def get_status(self) -> dict:
uptime = int(time.time() - self.started_at) if self.running and self.started_at else 0
return {
"running": self.running,
"width": self.actual_width,
"height": self.actual_height,
"fps": self.fps,
"uptime_seconds": uptime,
"client_count": self.client_count,
"device": f"/dev/video{self.device_index}",
}
def generate_mjpeg(self):
self.client_count += 1
try:
while self.running:
# Wait for next frame signal (up to 200ms)
self.new_frame_event.wait(timeout=0.2)
jpeg = self.get_latest_jpeg()
if jpeg:
yield (
b"--frame\r\n"
b"Content-Type: image/jpeg\r\n"
b"Content-Length: " + str(len(jpeg)).encode() + b"\r\n\r\n"
+ jpeg + b"\r\n"
)
else:
time.sleep(0.05)
finally:
self.client_count = max(0, self.client_count - 1)