560 lines
21 KiB
Python
560 lines
21 KiB
Python
"""
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Edge production live counter — RTSP + YOLO TensorRT + line crossing.
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Replaces MQTT frigate-counter on Jetson with local LAN camera inference.
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"""
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from ultralytics import YOLO
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import cv2
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import csv
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import numpy as np
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import os
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import signal
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import time
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from datetime import datetime
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from pathlib import Path
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from dotenv import load_dotenv
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load_dotenv()
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from batch_store import BatchStore
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# --- config (override via env / .env) ---
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OUTPUT_DIR = os.getenv('OUTPUT_DIR', '/opt/jetson-counter')
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DB_PATH = os.getenv('DB_PATH', f'{OUTPUT_DIR}/jetson_counter.db')
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STATE_FILE = os.getenv('STATE_FILE', f'{OUTPUT_DIR}/current_batch.json')
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SOURCE = os.getenv('SOURCE', 'rtsp://user:pass@192.168.0.100:554/stream1')
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MODEL_PATH = os.getenv('MODEL_PATH', '/media/jetson/DATA/yolo11n.engine')
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CAMERA_NAME = os.getenv('CAMERA_NAME', 'CC1')
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OBJECT_LABEL = os.getenv('OBJECT_LABEL', 'ayam-potong')
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CLASS_AYAM = os.getenv('CLASS_AYAM', 'ayam')
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CLASS_TALENAN = os.getenv('CLASS_TALENAN', 'talenan')
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LINE_X = int(os.getenv('LINE_X')) if os.getenv('LINE_X') else None
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LINE_X_FRAC = float(os.getenv('LINE_X_FRAC', '0.5'))
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CROSS_DIRECTION = os.getenv('CROSS_DIRECTION', 'rtl').lower()
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IMGSZ = int(os.getenv('IMGSZ', '416'))
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HALF = os.getenv('HALF', 'true').lower() == 'true'
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CONF = float(os.getenv('CONF', '0.3'))
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DEVICE = int(os.getenv('DEVICE', '0'))
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TRACKER = os.getenv('TRACKER', 'bytetrack.yaml')
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DAILY_CUTOFF_TIME = os.getenv('DAILY_CUTOFF_TIME', '20:00')
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BATCH_TIMEOUT_SECONDS = float(os.getenv('BATCH_TIMEOUT_SECONDS', '300'))
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IGNORE_BATCH_LABEL_TIMEOUT = float(os.getenv('IGNORE_BATCH_LABEL_TIMEOUT_SECONDS', '30'))
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MIN_OBJECT_PER_BATCH = int(os.getenv('MIN_OBJECT_PER_BATCH', '60'))
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MIN_DURATION_PER_BATCH = int(os.getenv('MIN_DURATION_PER_BATCH', '60'))
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EXPORT_CSV = os.getenv('EXPORT_CSV', 'true').lower() == 'true'
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CROSS_CSV = os.getenv('CROSS_CSV', f'{OUTPUT_DIR}/batch_crossings.csv')
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WARMUP_FRAMES = int(os.getenv('WARMUP_FRAMES', '30'))
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RECONNECT_DELAY_SEC = int(os.getenv('RECONNECT_DELAY_SEC', '3'))
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MAX_RECONNECT_ATTEMPTS = int(os.getenv('MAX_RECONNECT_ATTEMPTS', '0'))
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FLUSH_EVERY_N_FRAMES = int(os.getenv('FLUSH_EVERY_N_FRAMES', '100'))
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TRACKED_PRUNE_SEC = int(os.getenv('TRACKED_PRUNE_SEC', '300'))
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RECORD_VIDEO = os.getenv('RECORD_VIDEO', 'false').lower() == 'true'
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VIDEO_SEGMENT_SEC = int(os.getenv('VIDEO_SEGMENT_SEC', '3600'))
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OUTPUT_FPS = int(os.getenv('OUTPUT_FPS', '15'))
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LIVE_STREAM_ENABLED = os.getenv('LIVE_STREAM_ENABLED', 'false').lower() == 'true'
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LIVE_STREAM_FRAME_PATH = os.getenv('LIVE_STREAM_FRAME_PATH', '/dev/shm/jetson-counter/live_frame.jpg')
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LIVE_STREAM_QUALITY = int(os.getenv('LIVE_STREAM_QUALITY', '75'))
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LIVE_STREAM_EVERY_N = int(os.getenv('LIVE_STREAM_EVERY_N', '2'))
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RTSP_FFMPEG_OPTIONS = os.getenv(
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'OPENCV_FFMPEG_CAPTURE_OPTIONS',
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'rtsp_transport;tcp|fflags;nobuffer|flags;low_delay',
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)
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IS_LIVE = SOURCE.lower().startswith(('rtsp://', 'http://'))
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CROSS_FLASH_FRAMES = 12
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POPUP_LIFETIME = 20
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LINE_PULSE_FRAMES = 12
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COUNT_PULSE_FRAMES = 15
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BATCH_PULSE_FRAMES = 20
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SKELETON = [(0, 1), (4, 3), (1, 2), (3, 2), (2, 6), (2, 5), (2, 7), (7, 8)]
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SK_COLORS = [
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(0, 255, 255), (0, 255, 255), (255, 0, 255), (255, 0, 255),
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(0, 255, 0), (255, 255, 0), (0, 0, 255), (200, 200, 0),
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]
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C_PANEL = (28, 24, 18)
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C_BORDER = (90, 85, 75)
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C_ACCENT = (255, 200, 60)
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C_GREEN = (80, 220, 100)
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C_TEXT = (235, 235, 235)
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C_MUTED = (150, 150, 150)
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C_AYAM_BOX = (0, 165, 255)
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C_TALENAN_BOX = (220, 120, 60)
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C_LINE_CORE = (180, 220, 255)
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C_LINE_GLOW = (100, 160, 220)
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shutdown_requested = False
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def request_shutdown(signum, frame):
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global shutdown_requested
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shutdown_requested = True
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print('\nShutdown requested — finishing current frame...')
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signal.signal(signal.SIGINT, request_shutdown)
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signal.signal(signal.SIGTERM, request_shutdown)
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def resolve_class_ids(names):
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name_to_id = {v: k for k, v in names.items()}
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missing = [n for n in (CLASS_AYAM, CLASS_TALENAN) if n not in name_to_id]
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if missing:
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raise ValueError(f'Model missing classes {missing}. Available: {list(names.values())}')
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return name_to_id[CLASS_AYAM], name_to_id[CLASS_TALENAN]
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def box_cx(box):
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return (int(box[0]) + int(box[2])) // 2
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def resolve_line_x(frame_width):
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if LINE_X is not None:
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return LINE_X
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if LINE_X_FRAC != 0.5:
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return int(frame_width * LINE_X_FRAC)
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return frame_width // 2
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def crossed_line(prev_cx, cx, line_x, direction=CROSS_DIRECTION):
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if direction == 'ltr':
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return prev_cx < line_x <= cx
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if direction == 'both':
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return (prev_cx > line_x >= cx) or (prev_cx < line_x <= cx)
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return prev_cx > line_x >= cx
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def now_str():
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return datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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def open_capture(source):
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if source.lower().startswith(('rtsp://', 'http://')):
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os.environ['OPENCV_FFMPEG_CAPTURE_OPTIONS'] = RTSP_FFMPEG_OPTIONS
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cap = cv2.VideoCapture(source, cv2.CAP_FFMPEG)
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cap.set(cv2.CAP_PROP_BUFFERSIZE, 1)
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return cap
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def warmup_stream(cap, n=WARMUP_FRAMES):
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print('Warming up stream...')
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for _ in range(n):
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cap.read()
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print('Stream ready!')
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def open_video_writer(path, w, h, fps):
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return cv2.VideoWriter(path, cv2.VideoWriter_fourcc(*'avc1'), fps, (w, h))
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class CsvLogger:
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def __init__(self, path, header):
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Path(path).parent.mkdir(parents=True, exist_ok=True)
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new_file = not Path(path).exists() or Path(path).stat().st_size == 0
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self.file = open(path, 'a', newline='', buffering=1)
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self.writer = csv.writer(self.file)
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if new_file:
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self.writer.writerow(header)
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self.file.flush()
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def write_row(self, row):
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self.writer.writerow(row)
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self.file.flush()
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def close(self):
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self.file.close()
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class VideoSegmentWriter:
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def __init__(self, output_dir, w, h, fps, segment_sec):
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self.output_dir = Path(output_dir)
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self.output_dir.mkdir(parents=True, exist_ok=True)
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self.w, self.h, self.fps = w, h, fps
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self.segment_sec = segment_sec
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self.segment_start = time.monotonic()
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self.writer = None
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self._open_next()
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def _segment_path(self):
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ts = datetime.now().strftime('%Y%m%d_%H%M%S')
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return str(self.output_dir / f'live_{ts}.mp4')
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def _open_next(self):
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if self.writer is not None:
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self.writer.release()
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path = self._segment_path()
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self.writer = open_video_writer(path, self.w, self.h, self.fps)
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self.segment_start = time.monotonic()
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print(f'Recording segment: {path}')
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def write(self, frame):
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if time.monotonic() - self.segment_start >= self.segment_sec:
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self._open_next()
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self.writer.write(frame)
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def release(self):
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if self.writer is not None:
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self.writer.release()
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def prune_stale_tracks(tracked, now_mono):
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stale = [tid for tid, (_, ts) in tracked.items() if now_mono - ts > TRACKED_PRUNE_SEC]
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for tid in stale:
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del tracked[tid]
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def overlay_rect(img, x1, y1, x2, y2, color, alpha=0.65):
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x1, y1 = max(0, x1), max(0, y1)
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x2, y2 = min(img.shape[1], x2), min(img.shape[0], y2)
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if x2 <= x1 or y2 <= y1:
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return
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roi = img[y1:y2, x1:x2]
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patch = np.full_like(roi, color, dtype=np.uint8)
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cv2.addWeighted(patch, alpha, roi, 1 - alpha, 0, roi)
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def draw_pill(img, text, x, y, bg, fg=C_TEXT, font_scale=0.45, pad_x=6, pad_y=4):
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font = cv2.FONT_HERSHEY_SIMPLEX
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(tw, th), baseline = cv2.getTextSize(text, font, font_scale, 1)
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x1, y1 = x, y - th - pad_y
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x2, y2 = x + tw + pad_x * 2, y + baseline + pad_y
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cv2.rectangle(img, (x1, y1), (x2, y2), bg, -1)
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cv2.rectangle(img, (x1, y1), (x2, y2), C_BORDER, 1)
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cv2.putText(img, text, (x + pad_x, y), font, font_scale, fg, 1, cv2.LINE_AA)
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def draw_elegant_counting_line(img, line_x, h, pulse_remaining=0):
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strength = pulse_remaining / max(LINE_PULSE_FRAMES, 1)
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glow_alpha = 0.12 + 0.18 * strength
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for offset in (14, 9, 5):
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color = tuple(int(c * glow_alpha) for c in C_LINE_GLOW)
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cv2.line(img, (line_x - offset, 0), (line_x - offset, h), color, 1, cv2.LINE_AA)
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cv2.line(img, (line_x + offset, 0), (line_x + offset, h), color, 1, cv2.LINE_AA)
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dash_len, gap = 18, 12
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y = 0
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while y < h:
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y_end = min(y + dash_len, h)
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cv2.line(img, (line_x, y), (line_x, y_end), C_LINE_CORE, 2, cv2.LINE_AA)
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y += dash_len + gap
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cv2.putText(img, 'COUNT LINE', (line_x - 46, 24), cv2.FONT_HERSHEY_SIMPLEX, 0.42, C_LINE_CORE, 1, cv2.LINE_AA)
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def draw_hero_count(img, line_x, h, count, pulse_remaining=0):
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text = str(count)
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font = cv2.FONT_HERSHEY_SIMPLEX
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boost = 0.35 * (pulse_remaining / max(COUNT_PULSE_FRAMES, 1))
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font_scale, thickness = 1.6 + boost, 3
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(tw, th), _ = cv2.getTextSize(text, font, font_scale, thickness)
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pad = 14
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tx, ty = line_x - tw // 2, h // 2 + th // 2
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overlay_rect(img, tx - pad, ty - th - pad, tx + tw + pad, ty + pad // 2, C_PANEL, alpha=0.78)
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cv2.rectangle(img, (tx - pad, ty - th - pad), (tx + tw + pad, ty + pad // 2), C_LINE_CORE, 2)
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cv2.putText(img, text, (tx, ty), font, font_scale, C_GREEN, thickness, cv2.LINE_AA)
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def draw_hud(img, w, batch_num, batch_count, total_ayam, elapsed_sec, rate, camera_id, clock):
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bar_h = 52
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overlay_rect(img, 0, 0, w, bar_h, C_PANEL, alpha=0.72)
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cv2.line(img, (0, bar_h), (w, bar_h), C_BORDER, 1)
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cv2.putText(img, 'BATCH', (16, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.45, C_MUTED, 1, cv2.LINE_AA)
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batch_label = str(batch_num) if batch_num else '—'
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cv2.putText(img, batch_label, (16, 44), cv2.FONT_HERSHEY_SIMPLEX, 0.9, C_ACCENT, 2, cv2.LINE_AA)
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cv2.putText(img, 'COUNT', (100, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.45, C_MUTED, 1, cv2.LINE_AA)
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cv2.putText(img, str(batch_count), (100, 44), cv2.FONT_HERSHEY_SIMPLEX, 0.9, C_GREEN, 2, cv2.LINE_AA)
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cv2.putText(img, 'TOTAL', (190, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.45, C_MUTED, 1, cv2.LINE_AA)
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cv2.putText(img, str(total_ayam), (190, 44), cv2.FONT_HERSHEY_SIMPLEX, 0.7, C_TEXT, 1, cv2.LINE_AA)
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cv2.putText(img, 'UPTIME', (280, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.45, C_MUTED, 1, cv2.LINE_AA)
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cv2.putText(img, f'{elapsed_sec / 3600:.1f}h', (280, 44), cv2.FONT_HERSHEY_SIMPLEX, 0.7, C_TEXT, 1, cv2.LINE_AA)
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cv2.putText(img, 'RATE', (380, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.45, C_MUTED, 1, cv2.LINE_AA)
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cv2.putText(img, f'{rate:.1f}/min', (380, 44), cv2.FONT_HERSHEY_SIMPLEX, 0.7, C_ACCENT, 1, cv2.LINE_AA)
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cv2.putText(img, clock, (w - 180, 36), cv2.FONT_HERSHEY_SIMPLEX, 0.55, C_TEXT, 1, cv2.LINE_AA)
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cv2.putText(img, f'CAM {camera_id}', (w - 180, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.45, C_MUTED, 1, cv2.LINE_AA)
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def draw_footer(img, w, h, frame_idx, live_tag):
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bar_h = 28
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overlay_rect(img, 0, h - bar_h, w, h, C_PANEL, alpha=0.55)
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cv2.putText(img, f'{live_tag} | Frame {frame_idx}', (12, h - 9), cv2.FONT_HERSHEY_SIMPLEX, 0.45, C_MUTED, 1, cv2.LINE_AA)
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def draw_skeleton_bold(img, kpts):
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for (a, b), color in zip(SKELETON, SK_COLORS):
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if a < len(kpts) and b < len(kpts):
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xa, ya = int(kpts[a][0]), int(kpts[a][1])
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xb, yb = int(kpts[b][0]), int(kpts[b][1])
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if xa > 0 and ya > 0 and xb > 0 and yb > 0:
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cv2.line(img, (xa, ya), (xb, yb), color, 3, cv2.LINE_AA)
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for kp in kpts:
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x, y = int(kp[0]), int(kp[1])
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if x > 0 and y > 0:
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cv2.circle(img, (x, y), 6, (255, 255, 255), -1, cv2.LINE_AA)
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cv2.circle(img, (x, y), 6, (40, 40, 40), 2, cv2.LINE_AA)
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def draw_popups(img, popups, frame_idx):
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alive = []
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for pop in popups:
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age = frame_idx - pop['born']
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if age > POPUP_LIFETIME:
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continue
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alive.append(pop)
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fade = 1.0 - age / POPUP_LIFETIME
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y = pop['y'] - int(age * 1.8)
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color = (int(C_GREEN[0] * fade), int(C_GREEN[1] * fade), int(C_GREEN[2] * fade))
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cv2.putText(img, pop['text'], (pop['x'], y), cv2.FONT_HERSHEY_SIMPLEX, 0.7, color, 2, cv2.LINE_AA)
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return alive
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def draw_batch_banner(img, w, batch_num, pulse_remaining):
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if pulse_remaining <= 0:
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return
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text = f'NEW BATCH {batch_num}'
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font = cv2.FONT_HERSHEY_SIMPLEX
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(tw, th), _ = cv2.getTextSize(text, font, 0.8, 2)
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x1, y1 = w // 2 - tw // 2 - 16, 62
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x2, y2 = w // 2 + tw // 2 + 16, 62 + th + 20
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overlay_rect(img, x1, y1, x2, y2, C_PANEL, alpha=0.7)
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cv2.rectangle(img, (x1, y1), (x2, y2), C_ACCENT, 2)
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cv2.putText(img, text, (w // 2 - tw // 2, 62 + th + 4), font, 0.8, C_ACCENT, 2, cv2.LINE_AA)
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def connect_stream(source, warmup=WARMUP_FRAMES):
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attempts = 0
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while not shutdown_requested:
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cap = open_capture(source)
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if not cap.isOpened():
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attempts += 1
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if MAX_RECONNECT_ATTEMPTS and attempts >= MAX_RECONNECT_ATTEMPTS:
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raise RuntimeError(f'Cannot open source after {attempts} attempts: {source}')
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print(f'Cannot open source, retry in {RECONNECT_DELAY_SEC}s...')
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time.sleep(RECONNECT_DELAY_SEC)
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continue
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if warmup > 0 and source.lower().startswith(('rtsp://', 'http://')):
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warmup_stream(cap, warmup)
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w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
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h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
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fps = cap.get(cv2.CAP_PROP_FPS)
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if not fps or fps <= 1:
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fps = OUTPUT_FPS
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return cap, w, h, fps
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return None, 0, 0, OUTPUT_FPS
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def run():
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global shutdown_requested
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store = BatchStore(
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db_path=DB_PATH,
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state_file=STATE_FILE,
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camera_name=CAMERA_NAME,
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object_label=OBJECT_LABEL,
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cutoff_time=DAILY_CUTOFF_TIME,
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batch_timeout=BATCH_TIMEOUT_SECONDS,
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ignore_batch_label_timeout=IGNORE_BATCH_LABEL_TIMEOUT,
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min_object_per_batch=MIN_OBJECT_PER_BATCH,
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min_duration_per_batch=MIN_DURATION_PER_BATCH,
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logger=lambda msg: print(f'[{now_str()}] {msg}'),
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)
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store.start_cutoff_watcher()
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cross_logger = None
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if EXPORT_CSV:
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cross_logger = CsvLogger(CROSS_CSV, ['batch', 'frame', 'timestamp', 'chicken_id'])
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model = YOLO(MODEL_PATH)
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ayam_cls, talenan_cls = resolve_class_ids(model.names)
|
|
|
|
ayam_tracked = {}
|
|
talenan_tracked = {}
|
|
ayam_line_crossed = set()
|
|
talenan_line_crossed = set()
|
|
|
|
ayam_cross_flash = {}
|
|
talenan_cross_flash = {}
|
|
line_pulse = count_pulse = batch_pulse = 0
|
|
popups = []
|
|
|
|
session_start = time.time()
|
|
frame_idx = 0
|
|
video_writer = None
|
|
|
|
cap, w, h, fps = connect_stream(SOURCE)
|
|
if cap is None:
|
|
store.shutdown()
|
|
return
|
|
|
|
line_x = resolve_line_x(w)
|
|
print(f'Jetson counter | {w}x{h} @ {fps}fps | line x={line_x} | cross={CROSS_DIRECTION}')
|
|
print(f'Model: {MODEL_PATH} | imgsz={IMGSZ} half={HALF}')
|
|
print(f'DB: {DB_PATH}')
|
|
print(f'State: {STATE_FILE}')
|
|
|
|
if RECORD_VIDEO:
|
|
video_writer = VideoSegmentWriter(OUTPUT_DIR, w, h, fps, VIDEO_SEGMENT_SEC)
|
|
|
|
reconnect_count = 0
|
|
|
|
while not shutdown_requested:
|
|
ret, frame = cap.read()
|
|
if not ret:
|
|
if not IS_LIVE:
|
|
break
|
|
reconnect_count += 1
|
|
print(f'Stream dropped (attempt {reconnect_count}), reconnecting in {RECONNECT_DELAY_SEC}s...')
|
|
cap.release()
|
|
time.sleep(RECONNECT_DELAY_SEC)
|
|
cap, w, h, fps = connect_stream(SOURCE)
|
|
if cap is None:
|
|
break
|
|
line_x = resolve_line_x(w)
|
|
continue
|
|
|
|
now = time.time()
|
|
elapsed = now - session_start
|
|
mono = time.monotonic()
|
|
ayam_crossed_frame = batch_closed_frame = batch_started_frame = False
|
|
|
|
results = model.track(
|
|
frame,
|
|
device=DEVICE,
|
|
persist=True,
|
|
conf=CONF,
|
|
imgsz=IMGSZ,
|
|
half=HALF,
|
|
tracker=TRACKER,
|
|
verbose=False,
|
|
)
|
|
r = results[0]
|
|
|
|
if r.boxes.id is not None:
|
|
ids = r.boxes.id.int().tolist()
|
|
boxes = r.boxes.xyxy.tolist()
|
|
clss = r.boxes.cls.int().tolist()
|
|
kpts_all = r.keypoints.xy.tolist() if r.keypoints else []
|
|
|
|
talenan_items, ayam_items = [], []
|
|
for i, (track_id, box, cls_id) in enumerate(zip(ids, boxes, clss)):
|
|
cx = box_cx(box)
|
|
x1, y1, x2, y2 = [int(v) for v in box]
|
|
kpts = kpts_all[i] if i < len(kpts_all) else None
|
|
item = (track_id, cx, x1, y1, x2, y2, kpts)
|
|
if cls_id == talenan_cls:
|
|
talenan_items.append(item)
|
|
elif cls_id == ayam_cls:
|
|
ayam_items.append(item)
|
|
|
|
for track_id, cx, x1, y1, x2, y2, _ in talenan_items:
|
|
if track_id in talenan_tracked:
|
|
prev_cx, _ = talenan_tracked[track_id]
|
|
if crossed_line(prev_cx, cx, line_x) and track_id not in talenan_line_crossed:
|
|
talenan_line_crossed.add(track_id)
|
|
if store.record_talenan_crossing(track_id):
|
|
batch_closed_frame = True
|
|
talenan_cross_flash[track_id] = CROSS_FLASH_FRAMES
|
|
popups.append({'x': cx - 20, 'y': (y1 + y2) // 2, 'born': frame_idx, 'text': 'BATCH CLOSED'})
|
|
talenan_tracked[track_id] = (cx, mono)
|
|
|
|
for track_id, cx, x1, y1, x2, y2, kpts in ayam_items:
|
|
if track_id in ayam_tracked:
|
|
prev_cx, _ = ayam_tracked[track_id]
|
|
if crossed_line(prev_cx, cx, line_x) and track_id not in ayam_line_crossed:
|
|
ayam_line_crossed.add(track_id)
|
|
_, started_new = store.record_ayam_crossing(track_id)
|
|
if cross_logger:
|
|
cross_logger.write_row([
|
|
store.current_batch_number, frame_idx,
|
|
datetime.now().isoformat(), track_id,
|
|
])
|
|
ayam_crossed_frame = True
|
|
if started_new:
|
|
batch_started_frame = True
|
|
ayam_cross_flash[track_id] = CROSS_FLASH_FRAMES
|
|
popups.append({'x': cx - 12, 'y': (y1 + y2) // 2, 'born': frame_idx, 'text': '+1'})
|
|
ayam_tracked[track_id] = (cx, mono)
|
|
|
|
for track_id, cx, x1, y1, x2, y2, _ in talenan_items:
|
|
flash = talenan_cross_flash.get(track_id, 0)
|
|
color = C_GREEN if flash > 0 else C_TALENAN_BOX
|
|
cv2.rectangle(frame, (x1, y1), (x2, y2), color, 3 if flash > 0 else 2)
|
|
draw_pill(frame, f'TALENAN {track_id}', x1, y1 - 4, color)
|
|
|
|
for track_id, cx, x1, y1, x2, y2, kpts in ayam_items:
|
|
flash = ayam_cross_flash.get(track_id, 0)
|
|
color = C_GREEN if flash > 0 else C_AYAM_BOX
|
|
cv2.rectangle(frame, (x1, y1), (x2, y2), color, 3 if flash > 0 else 2)
|
|
draw_pill(frame, f'ID {track_id}', x1, y1 - 4, color)
|
|
if kpts is not None:
|
|
draw_skeleton_bold(frame, kpts)
|
|
|
|
if ayam_crossed_frame:
|
|
line_pulse = LINE_PULSE_FRAMES
|
|
count_pulse = COUNT_PULSE_FRAMES
|
|
if batch_closed_frame:
|
|
line_pulse = LINE_PULSE_FRAMES
|
|
if batch_started_frame:
|
|
batch_pulse = BATCH_PULSE_FRAMES
|
|
|
|
batch_num = store.current_batch_number or 0
|
|
batch_count = store.current_batch_count
|
|
display_total = store.display_total()
|
|
rate = (display_total / elapsed * 60) if elapsed > 0 else 0.0
|
|
|
|
draw_elegant_counting_line(frame, line_x, h, line_pulse)
|
|
draw_hero_count(frame, line_x, h, batch_count, count_pulse)
|
|
draw_hud(frame, w, batch_num, batch_count, display_total, elapsed, rate, CAMERA_NAME, now_str())
|
|
draw_batch_banner(frame, w, batch_num, batch_pulse)
|
|
draw_footer(frame, w, h, frame_idx, 'LIVE' if IS_LIVE else 'FILE')
|
|
popups = draw_popups(frame, popups, frame_idx)
|
|
|
|
for flash_store in (ayam_cross_flash, talenan_cross_flash):
|
|
for tid in list(flash_store):
|
|
flash_store[tid] -= 1
|
|
if flash_store[tid] <= 0:
|
|
del flash_store[tid]
|
|
line_pulse = max(0, line_pulse - 1)
|
|
count_pulse = max(0, count_pulse - 1)
|
|
batch_pulse = max(0, batch_pulse - 1)
|
|
|
|
if video_writer is not None:
|
|
video_writer.write(frame)
|
|
|
|
if LIVE_STREAM_ENABLED and frame_idx % LIVE_STREAM_EVERY_N == 0:
|
|
try:
|
|
Path(LIVE_STREAM_FRAME_PATH).parent.mkdir(parents=True, exist_ok=True)
|
|
_, jpeg = cv2.imencode('.jpg', frame, [cv2.IMWRITE_JPEG_QUALITY, LIVE_STREAM_QUALITY])
|
|
with open(LIVE_STREAM_FRAME_PATH, 'wb') as f:
|
|
f.write(jpeg.tobytes())
|
|
except Exception:
|
|
pass
|
|
|
|
frame_idx += 1
|
|
if frame_idx % FLUSH_EVERY_N_FRAMES == 0:
|
|
print(
|
|
f'[{now_str()}] Frame {frame_idx} | Batch {batch_num}: {batch_count} '
|
|
f'| Total: {display_total} | Uptime {elapsed / 3600:.2f}h'
|
|
)
|
|
prune_stale_tracks(ayam_tracked, mono)
|
|
prune_stale_tracks(talenan_tracked, mono)
|
|
|
|
cap.release()
|
|
if video_writer is not None:
|
|
video_writer.release()
|
|
if cross_logger:
|
|
cross_logger.close()
|
|
store.shutdown()
|
|
|
|
print('\n=== Batch Summary (SQLite) ===')
|
|
print(f'Database: {DB_PATH}')
|
|
|
|
|
|
if __name__ == '__main__':
|
|
run()
|