Rdzleo
f1c2bfce93
核心变更： - face_tracker.cc: YUYV→YVYU 序列修正（byte[1]=V, byte[3]=U）， 基于 JPEG Dump 诊断工具验证 OV3660 FORMAT_CTRL00=0x61 实际是 YVYU - face_tracker.cc: 启动时 base64 打印一帧 JPEG 到串口，用于肉眼验证 - config.h: XCLK 20MHz→10MHz，给飞线信号完整性 2x 裕度 - scripts/auto_capture_jpeg.py: 自动串口抓帧工具（DTR/RTS 复位 + base64 解码） - scripts/extract_jpeg_from_log.py: 从日志离线提取 JPEG - Coglet项目分析与开发指南.md: 新增"六点六"章节，汇总 Phase 01 主要矛盾（画面可辨识≠模型可识别）、YUV→RGB 色偏三层原因、 esp-dl 模型输入分布敏感性、延迟分析、三方案对比、方案 B 突破口 - docs/: 新增 2 篇 OV3660 相关 CSDN 参考资料 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
108 lines
3.1 KiB
Python
108 lines
3.1 KiB
Python
#!/usr/bin/env python3
|
||
# auto_capture_jpeg.py
|
||
# 自动连接 ESP32 串口、触发复位、等待多个 JPEG dump、保存并打开所有图片
|
||
# 支持新格式：===JPEG_DUMP_BEGIN fmt=<NAME> size=<N>===
|
||
|
||
import serial
|
||
import base64
|
||
import re
|
||
import sys
|
||
import time
|
||
import subprocess
|
||
from pathlib import Path
|
||
|
||
PORT = "/dev/cu.usbmodem834401"
|
||
BAUD = 115200
|
||
OUT_DIR = Path("/Users/rdzleo/Desktop/CogletESP-camera-version/scripts")
|
||
TIMEOUT_SEC = 90
|
||
MAX_FRAMES = 4
|
||
|
||
BEGIN_RE = re.compile(r"===JPEG_DUMP_BEGIN\s+(?:fmt=(\S+)\s+)?size=(\d+)===")
|
||
END_RE = re.compile(r"===JPEG_DUMP_END===")
|
||
B64_RE = re.compile(r"^[A-Za-z0-9+/=]+$")
|
||
|
||
|
||
def main():
|
||
print(f"[·] 打开串口 {PORT} @ {BAUD}")
|
||
ser = serial.Serial(PORT, BAUD, timeout=1)
|
||
|
||
print("[·] 复位 ESP32 …")
|
||
ser.dtr = False
|
||
ser.rts = True
|
||
time.sleep(0.1)
|
||
ser.rts = False
|
||
time.sleep(0.1)
|
||
ser.reset_input_buffer()
|
||
|
||
print(f"[·] 等待 JPEG_DUMP 标记（最多 {TIMEOUT_SEC}s，期望 {MAX_FRAMES} 张）…")
|
||
start = time.time()
|
||
in_dump = False
|
||
expected_size = 0
|
||
current_fmt = None
|
||
b64_buf = []
|
||
saved_files = []
|
||
|
||
while time.time() - start < TIMEOUT_SEC and len(saved_files) < MAX_FRAMES:
|
||
raw = ser.readline()
|
||
if not raw:
|
||
continue
|
||
try:
|
||
line = raw.decode("utf-8", errors="replace").rstrip("\r\n")
|
||
except Exception:
|
||
continue
|
||
|
||
if any(k in line for k in ["FaceTracker", "Camera", "panic", "Guru", "ov3660", "Compile time"]):
|
||
print(f" {line}")
|
||
|
||
if not in_dump:
|
||
m = BEGIN_RE.search(line)
|
||
if m:
|
||
in_dump = True
|
||
current_fmt = m.group(1) or "unknown"
|
||
expected_size = int(m.group(2))
|
||
b64_buf = []
|
||
print(f"[+] JPEG_BEGIN fmt={current_fmt} size={expected_size}")
|
||
continue
|
||
|
||
if END_RE.search(line):
|
||
in_dump = False
|
||
b64_str = "".join(b64_buf)
|
||
try:
|
||
data = base64.b64decode(b64_str)
|
||
except Exception as e:
|
||
print(f"[!] base64 decode failed: {e}")
|
||
continue
|
||
|
||
if len(data) != expected_size:
|
||
print(f"[!] 字节数差异 got={len(data)} expected={expected_size}")
|
||
|
||
out_path = OUT_DIR / f"frame_{current_fmt}.jpg"
|
||
out_path.write_bytes(data)
|
||
print(f"[✓] 保存 {out_path.name} ({len(data)/1024:.1f} KB)")
|
||
saved_files.append(out_path)
|
||
continue
|
||
|
||
stripped = line.strip()
|
||
if B64_RE.match(stripped):
|
||
b64_buf.append(stripped)
|
||
|
||
ser.close()
|
||
|
||
if not saved_files:
|
||
print("[!] 没有抓到任何 JPEG 帧")
|
||
return 1
|
||
|
||
print(f"\n[✓] 共保存 {len(saved_files)} 张")
|
||
for p in saved_files:
|
||
print(f" - {p}")
|
||
# 用 Finder 打开目录，用户可以并排对比
|
||
subprocess.run(["open", str(OUT_DIR)])
|
||
# 或者直接打开所有 JPEG
|
||
for p in saved_files:
|
||
subprocess.run(["open", str(p)])
|
||
return 0
|
||
|
||
|
||
if __name__ == "__main__":
|
||
sys.exit(main())
|