Miscellaneous fixes (0.18 beta) (#23828)

* widen the logger name field in the per-process log level settings

* add details to timestamp error faq

* tweak genai docs

* tweak vector language

* Combine Qwen3.5 and Qwen3.6 listings

* fix openvino yolox detector crashing on every detection

The intermediate (N, 7) array in the yolox branch shadowed the pre-allocated (20, 6) detections buffer, so writing a detection into it raised "could not broadcast input array from shape (6,) into shape (7,)" on the first frame with anything above the confidence threshold. An empty frame also returned a (0, 7) array instead of the (20, 6) buffer.

Regressed in #13794, which renamed the intermediate from dets to detections as part of a cspell cleanup. Broken since 0.15.0.

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

frigate/detectors/plugins/openvino.py

@@ -226,12 +226,12 @@ class OvDetector(DetectionApi):
 
             conf_mask = (image_pred[:, 4] * class_conf.squeeze() >= 0.3).squeeze()
             # Detections ordered as (x1, y1, x2, y2, obj_conf, class_conf, class_pred)
-            detections = np.concatenate(
+            predictions = np.concatenate(
                 (image_pred[:, :5], class_conf, class_pred), axis=1
             )
-            detections = detections[conf_mask]
+            predictions = predictions[conf_mask]
 
-            ordered = detections[detections[:, 5].argsort()[::-1]][:20]
+            ordered = predictions[predictions[:, 5].argsort()[::-1]][:20]
 
             for i, object_detected in enumerate(ordered):
                 detections[i] = self.process_yolo(