Two new operators for easier retargeting: Auto scale performer, and a first attempt at auto hiearchy mapping

release/scripts/modules/mocap_tools.py

@@ -573,7 +573,67 @@ def scale_fix_armature(performer_obj, enduser_obj):
         perf_bones = performer_obj.data.bones
         end_bones = enduser_obj.data.bones
 
-       #perf_avg = performer_obj.dimensions
+        def calculateBoundingRadius(bones):
+            center = Vector()
+            for bone in bones:
+                center += bone.head_local
+            center /= len(bones)
+            radius = 0
+            for bone in bones:
+                dist = (bone.head_local - center).length
+                if dist > radius:
+                    radius = dist
+            return radius
+
+        perf_rad = calculateBoundingRadius(performer_obj.data.bones)
+        end_rad = calculateBoundingRadius(enduser_obj.data.bones)
         #end_avg = enduser_obj.dimensions
-        #print(perf_avg, end_avg)
-        #performer_obj.scale /= (perf_avg / end_avg)
+        factor = end_rad / perf_rad * 1.2
+        performer_obj.scale *= factor
+
+
+def guessMapping(performer_obj, enduser_obj):
+        perf_bones = performer_obj.data.bones
+        end_bones = enduser_obj.data.bones
+
+        root = perf_bones[0]
+
+        def findBoneSide(bone):
+            if "Left" in bone:
+                return "Left", bone.replace("Left", "").lower().replace(".", "")
+            if "Right" in bone:
+                return "Right", bone.replace("Right", "").lower().replace(".", "")
+            if "L" in bone:
+                return "Left", bone.replace("Left", "").lower().replace(".", "")
+            if "R" in bone:
+                return "Right", bone.replace("Right", "").lower().replace(".", "")
+            return "", bone
+
+        def nameMatch(bone_a, bone_b):
+            # nameMatch - recieves two strings, returns 2 if they are relatively the same, 1 if they are the same but R and L and 0 if no match at all
+            side_a, noside_a = findBoneSide(bone_a)
+            side_b, noside_b = findBoneSide(bone_b)
+            if side_a == side_b:
+                if noside_a in noside_b or noside_b in noside_a:
+                    return 2
+            else:
+                if noside_a in noside_b or noside_b in noside_a:
+                    return 1
+            return 0
+
+        def guessSingleMapping(perf_bone):
+            possible_bones = [end_bones[0]]
+            while possible_bones:
+                for end_bone in possible_bones:
+                    match = nameMatch(perf_bone.name, end_bone.name)
+                    if match == 2 and not perf_bone.map:
+                        perf_bone.map = end_bone.name
+                newPossibleBones = []
+                for end_bone in possible_bones:
+                    newPossibleBones += list(end_bone.children)
+                possible_bones = newPossibleBones
+
+            for child in perf_bone.children:
+                guessSingleMapping(child)
+
+        guessSingleMapping(root)