fix(camera-ai): prefer front-facing camera candidates

CameraAI~/CHANGELOG.md

@@ -214,3 +214,7 @@
 ## 0.4.5
 
 - Rebuilt the frozen worker so portable prepared-template rotation conversion is included in the executable.
+## 0.4.6
+
+- Added a soft front-facing preference so safe candidates do not systematically place the actor's back toward the camera.
+- Bumped candidate cache logic version to invalidate stale orientation candidates.

CameraAI~/Tools~/CWCameraWorker/_internal/cwai_sources/repository/MachineLearning/CameraDirector/generate_hybrid.py

@@ -122,15 +122,15 @@ SEED_VARIATION_MAX_NORMAL_CANDIDATES = 16
 SEED_VARIATION_MAX_SELECTION_SCORE_DELTA = 2.0
 GENERATION_PERFORMANCE_SCHEMA_VERSION = "hybrid-generation-performance-v1"
 PREPARATION_LOGIC_CONTRACT_VERSION = "hybrid-preparation-logic-v2"
-CANDIDATE_LOGIC_CONTRACT_VERSION = "hybrid-candidate-logic-v15"
+CANDIDATE_LOGIC_CONTRACT_VERSION = "hybrid-candidate-logic-v16-front-facing"
 CANDIDATE_CACHE_STAGE_VERSIONS = {
     "shotSegmentation": "data-driven-candidates-ranker-global-dag-v1",
     "shotPlanning": "hierarchical-or-legacy-reconciliation-replay-v3-static-budget",
-    "candidateRanking": (
-        "template-rank-v11-adjacent-transition-v3-no-forced-side-alternation"
+        "candidateRanking": (
+        "template-rank-v12-front-facing-adjacent-transition-v3-no-forced-side-alternation"
     ),
     "trajectoryRetargeting": (
-        "retarget-v17-c2-yamo-turn-kinematics-semantic-baked-aim"
+        "retarget-v18-front-facing-c2-yamo-turn-kinematics-semantic-baked-aim"
     ),
     "compositionSafety": "person-safety-v9-derived-semantic-envelope",
     "variationPool": (
@@ -4685,6 +4685,23 @@ def retarget_template_to_shot(
         motion_quality["motionSelectionAdjustment"]
         + translation_kinematic_penalty
     )
+    root_forward = train.quat_rotate(
+        root_rotation,
+        np.broadcast_to(
+            np.asarray([0.0, 0.0, 1.0], dtype=np.float32),
+            root_rotation.shape[:1] + (3,),
+        ),
+    )
+    camera_offset = camera_world_position - root_position
+    camera_offset /= np.maximum(
+        np.linalg.norm(camera_offset, axis=1, keepdims=True),
+        1e-5,
+    )
+    front_facing_alignment = float(
+        np.median(np.sum(root_forward * camera_offset, axis=1))
+    )
+    front_facing_penalty = max(0.0, -front_facing_alignment) * 3.0
+    quality_score += front_facing_penalty
     transition_state = adjacent_transition.build_transition_state(
         camera_world_position,
         camera_world_rotation,
@@ -4744,6 +4761,8 @@ def retarget_template_to_shot(
         "realizedMotionType": realized_motion_type,
         "composition": composition_metrics,
         "motionQuality": motion_quality,
+        "frontFacingAlignment": front_facing_alignment,
+        "frontFacingPenalty": front_facing_penalty,
         "qualityScore": float(quality_score),
     }
 

CameraAI~/package.json

@@ -1,6 +1,6 @@
 {
   "name": "com.mingle.cw-ai",
-  "version": "0.4.5",
+  "version": "0.4.6",
   "displayName": "Mingle Camera Work AI",
   "description": "Self-contained high-quality Unity Timeline camera generation with an embedded prepared reference library, per-shot editable clips, and A/B review tools.",
   "unity": "6000.0",