cv2.imread cannot open files under non-ASCII (e.g. Chinese) paths on
Windows, so decode_qrcode_from_path() always returned None when the
project lived under a directory like D:\视频全平台同步\, and the
terminal QR re-print silently failed. Use np.fromfile + cv2.imdecode
instead, which handles arbitrary paths.
Add a YouTube uploader that follows the existing cookie-based browser
automation pattern (uploader/youtube_uploader + sau youtube CLI:
login/check/upload-video). Supports title/description/tags, thumbnail,
adding to a playlist (for series), and visibility (public/unlisted/private).
Browser automation is used instead of the official Data API on purpose:
videos uploaded by an unaudited API project are force-locked to private
and cannot be made public without Google's compliance audit, which is
impractical for personal/single-channel use. Browser automation has no
such restriction and matches how every other platform here works.