新增基于摄像机网格投影的黑白笔画原型

沿用彩色块的网格与可见性投影，便于评估透视适配的笔画。已通过几何单元测试及 250/500 像素光流探针。

blender/scripts/patch_projection.py

@@ -37,7 +37,7 @@ def _min_seam_distance(point, segments):
 
 def build_patch_geometry(obj, cam, scene, depsgraph, uv_names, nx, ny, edge_sample_grid,
                          fill_unresolved_leaves=False, seam_segments=None,
-                         seam_search_mm=0.0):
+                         seam_search_mm=0.0, capture_camera_fragments=False):
     """Evaluated loop-triangle fragments for one camera, per UV target.
 
     ``fill_unresolved_leaves`` accepts fragments whose visibility could not be resolved at
@@ -72,6 +72,9 @@ def build_patch_geometry(obj, cam, scene, depsgraph, uv_names, nx, ny, edge_samp
         origin = camera.matrix_world.translation
         forward = camera.matrix_world.to_quaternion() @ Vector((0, 0, -1))
         output = {name: {'mesh': [], 'patches': []} for name in uv_names}
+        if capture_camera_fragments:
+            for name in uv_names:
+                output[name]['camera_fragments'] = []
         ray_count = 0
 
         # Triangle-level and fragment-level records, shared by every UV target: the
@@ -184,6 +187,10 @@ def build_patch_geometry(obj, cam, scene, depsgraph, uv_names, nx, ny, edge_samp
                 for name in uv_names:
                     polygon = [interpolate_uv(p, uvs[name]) for p in fragment]
                     output[name]['patches'].append((i, j, polygon))
+                    if capture_camera_fragments:
+                        output[name]['camera_fragments'].append(
+                            (i, j, fragment, uvs[name])
+                        )
 
         output['_meta'] = {
             'triangle_count': len(mesh.loop_triangles),