feat: service inventory, ERP reports, sqlite-vec integration, visualize tool

- Add SERVICE_INVENTORY_V1.0.0.md (25 source-verified tools, 3.7GB)
- Add ERP_SELECTION_REPORT.md (Odoo CE vs ERPNext comparison)
- Add SFTPGO_ODOO_REPLACEMENT.md (SFTPGo migration plan)
- Add SERVICE_GO_GITEA_BUILD.md (Go compiler + Gitea build report)
- Add release visualize command (face trace heatmap + identity filter)
- Add sqlite-vec integration (160MB SQLite with vec0 vector tables)
- Add export_identities.py, export_sqlite.py, render_face_heatmap.py
- Add Go, Gitea, Rust/Cargo, Swift, yt-dlp, SQLite, sqlite-vec to service CLI
- Fix package to include identities and identity_bindings in data.sql
- Update release list to show all deployed video stats
- Add V1.0.0 YAML frontmatter to all docs (DOCS_STANDARD compliant)

scripts/face_processor.py

@@ -49,7 +49,7 @@ def classify_pose(roll: float, yaw: float) -> str:
 
 class FaceProcessorVision:
     def __init__(self, video_path: str, output_path: str, uuid: str = "",
-                 sample_interval: int = 30):
+                 sample_interval: int = 3):
         self.video_path = video_path
         self.output_path = output_path
         self.uuid = uuid
@@ -205,7 +205,7 @@ class FaceProcessorVision:
                         "pitch": pose_info.get("pitch", 0),
                     },
                     "lips": face.get("lips"),
-                    "landmarks": None,
+                    "landmarks": face.get("landmarks"),
                     "attributes": None,
                 })
 
@@ -255,7 +255,7 @@ def main():
     parser.add_argument("video_path", help="Video file path")
     parser.add_argument("output_path", help="Output JSON path")
     parser.add_argument("--uuid", "-u", default="")
-    parser.add_argument("--sample-interval", type=int, default=30)
+    parser.add_argument("--sample-interval", type=int, default=3)
     parser.add_argument("--force", action="store_true")
     args = parser.parse_args()