src/data/exporter.py

import numpy as np
from numpy import ndarray
from typing import List, Union, Tuple
from collections import defaultdict
import os

try:
    import open3d as o3d
    OPEN3D_EQUIPPED = True
except:
    print("do not have open3d")
    OPEN3D_EQUIPPED = False

class Exporter():
    
    def _safe_make_dir(self, path):
        if os.path.dirname(path) == '':
            return
        os.makedirs(os.path.dirname(path), exist_ok=True)
    
    def _export_skeleton(self, joints: ndarray, parents: List[Union[int, None]], path: str):
        format = path.split('.')[-1]
        assert format in ['obj']
        name = path.removesuffix('.obj')
        path = name + ".obj"
        self._safe_make_dir(path)
        J = joints.shape[0]
        with open(path, 'w') as file:
            file.write("o spring_joint\n")
            _joints = []
            for id in range(J):
                pid = parents[id]
                if pid is None or pid == -1:
                    continue
                bx, by, bz = joints[id]
                ex, ey, ez = joints[pid]
                _joints.extend([
                    f"v {bx} {bz} {-by}\n",
                    f"v {ex} {ez} {-ey}\n",
                    f"v {ex} {ez} {-ey + 0.00001}\n"
                ])
            file.writelines(_joints)
            
            _faces = [f"f {id*3+1} {id*3+2} {id*3+3}\n" for id in range(J)]
            file.writelines(_faces)
    
    def _export_bones(self, bones: ndarray, path: str):
        format = path.split('.')[-1]
        assert format in ['obj']
        name = path.removesuffix('.obj')
        path = name + ".obj"
        self._safe_make_dir(path)
        J = bones.shape[0]
        with open(path, 'w') as file:
            file.write("o bones\n")
            _joints = []
            for bone in bones:
                bx, by, bz = bone[:3]
                ex, ey, ez = bone[3:]
                _joints.extend([
                    f"v {bx} {bz} {-by}\n",
                    f"v {ex} {ez} {-ey}\n",
                    f"v {ex} {ez} {-ey + 0.00001}\n"
                ])
            file.writelines(_joints)
            
            _faces = [f"f {id*3+1} {id*3+2} {id*3+3}\n" for id in range(J)]
            file.writelines(_faces)
    
    def _export_skeleton_sequence(self, joints: ndarray, parents: List[Union[int, None]], path: str):
        format = path.split('.')[-1]
        assert format in ['obj']
        name = path.removesuffix('.obj')
        path = name + ".obj"
        self._safe_make_dir(path)
        J = joints.shape[0]
        for i in range(J):
            file = open(name + f"_{i}.obj", 'w')
            file.write("o spring_joint\n")
            _joints = []
            for id in range(i + 1):
                pid = parents[id]
                if pid is None:
                    continue
                bx, by, bz = joints[id]
                ex, ey, ez = joints[pid]
                _joints.extend([
                    f"v {bx} {bz} {-by}\n",
                    f"v {ex} {ez} {-ey}\n",
                    f"v {ex} {ez} {-ey + 0.00001}\n"
                ])
            file.writelines(_joints)
            
            _faces = [f"f {id*3+1} {id*3+2} {id*3+3}\n" for id in range(J)]
            file.writelines(_faces)
            file.close()
    
    def _export_mesh(self, vertices: ndarray, faces: ndarray, path: str):
        format = path.split('.')[-1]
        assert format in ['obj', 'ply']
        if path.endswith('ply'):
            if not OPEN3D_EQUIPPED:
                raise RuntimeError("open3d is not available")
            mesh = o3d.geometry.TriangleMesh()
            mesh.vertices = o3d.utility.Vector3dVector(vertices)
            mesh.triangles = o3d.utility.Vector3iVector(faces)
            self._safe_make_dir(path)
            o3d.io.write_triangle_mesh(path, mesh)
            return
        name = path.removesuffix('.obj')
        path = name + ".obj"
        self._safe_make_dir(path)
        with open(path, 'w') as file:
            file.write("o mesh\n")
            _vertices = []
            for co in vertices:
                _vertices.append(f"v {co[0]} {co[2]} {-co[1]}\n")
            file.writelines(_vertices)
            _faces = []
            for face in faces:
                _faces.append(f"f {face[0]+1} {face[1]+1} {face[2]+1}\n")
            file.writelines(_faces)
            
    def _export_pc(self, vertices: ndarray, path: str, vertex_normals: Union[ndarray, None]=None, normal_size: float=0.01):
        if path.endswith('.ply'):
            if vertex_normals is not None:
                print("normal result will not be displayed in .ply format")
            name = path.removesuffix('.ply')
            path = name + ".ply"
            pc = o3d.geometry.PointCloud()
            pc.points = o3d.utility.Vector3dVector(vertices)
            # segment fault when numpy >= 2.0 !! use torch environment
            self._safe_make_dir(path)
            o3d.io.write_point_cloud(path, pc)
            return
        name = path.removesuffix('.obj')
        path = name + ".obj"
        self._safe_make_dir(path)
        with open(path, 'w') as file:
            file.write("o pc\n")
            _vertex = []
            for co in vertices:
                _vertex.append(f"v {co[0]} {co[2]} {-co[1]}\n")
            file.writelines(_vertex)
            if vertex_normals is not None:
                new_path = path.replace('.obj', '_normal.obj')
                nfile = open(new_path, 'w')
                nfile.write("o normal\n")
                _normal = []
                for i in range(vertices.shape[0]):
                    co = vertices[i]
                    x = vertex_normals[i, 0]
                    y = vertex_normals[i, 1]
                    z = vertex_normals[i, 2]
                    _normal.extend([
                        f"v {co[0]} {co[2]} {-co[1]}\n",
                        f"v {co[0]+0.0001} {co[2]} {-co[1]}\n",
                        f"v {co[0]+x*normal_size} {co[2]+z*normal_size} {-(co[1]+y*normal_size)}\n",
                        f"f {i*3+1} {i*3+2} {i*3+3}\n",
                    ])
                nfile.writelines(_normal)
    
    def _make_armature(
        self,
        vertices: Union[ndarray, None],
        joints: ndarray,
        skin: Union[ndarray, None],
        parents: List[Union[int, None]],
        names: List[str],
        faces: Union[ndarray, None]=None,
        extrude_size: float=0.03,
        group_per_vertex: int=-1,
        add_root: bool=False,
        do_not_normalize: bool=False,
        use_extrude_bone: bool=True,
        use_connect_unique_child: bool=True,
        extrude_from_parent: bool=True,
        tails: Union[ndarray, None]=None,
    ):
        import bpy # type: ignore
        from mathutils import Vector # type: ignore
        
        # make collection
        collection = bpy.data.collections.new('new_collection')
        bpy.context.scene.collection.children.link(collection)
        
        # make mesh
        if vertices is not None:
            mesh = bpy.data.meshes.new('mesh')
            if faces is None:
                faces = []
            mesh.from_pydata(vertices, [], faces)
            mesh.update()
        
            # make object from mesh
            object = bpy.data.objects.new('character', mesh)
        
            # add object to scene collection
            collection.objects.link(object)
        
        # deselect mesh
        bpy.ops.object.armature_add(enter_editmode=True)
        armature = bpy.data.armatures.get('Armature')
        edit_bones = armature.edit_bones
        
        J = joints.shape[0]
        if tails is None:
            tails = joints.copy()
            tails[:, 2] += extrude_size
        connects = [False for _ in range(J)]
        children = defaultdict(list)
        for i in range(1, J):
            children[parents[i]].append(i)
        if tails is not None:
            if use_extrude_bone:
                for i in range(J):
                    if len(children[i]) != 1 and extrude_from_parent and i != 0:
                        pjoint = joints[parents[i]]
                        joint = joints[i]
                        d = joint - pjoint
                        if np.linalg.norm(d) < 0.000001:
                            d = np.array([0., 0., 1.]) # in case son.head == parent.head
                        else:
                            d = d / np.linalg.norm(d)
                        tails[i] = joint + d * extrude_size
            if use_connect_unique_child:
                for i in range(J):
                    if len(children[i]) == 1:
                        child = children[i][0]
                        tails[i] = joints[child]
                    if parents[i] is not None and len(children[parents[i]]) == 1:
                        connects[i] = True
        
        if add_root:
            bone_root = edit_bones.get('Bone')
            bone_root.name = 'Root'
            bone_root.tail = Vector((joints[0, 0], joints[0, 1], joints[0, 2]))
        else:
            bone_root = edit_bones.get('Bone')
            bone_root.name = names[0]
            bone_root.head = Vector((joints[0, 0], joints[0, 1], joints[0, 2]))
            bone_root.tail = Vector((joints[0, 0], joints[0, 1], joints[0, 2] + extrude_size))
        
        def extrude_bone(
            edit_bones,
            name: str,
            parent_name: str,
            head: Tuple[float, float, float],
            tail: Tuple[float, float, float],
            connect: bool
        ):
            bone = edit_bones.new(name)
            bone.head = Vector((head[0], head[1], head[2]))
            bone.tail = Vector((tail[0], tail[1], tail[2]))
            bone.name = name
            parent_bone = edit_bones.get(parent_name)
            bone.parent = parent_bone
            bone.use_connect = connect
            assert not np.isnan(head).any(), f"nan found in head of bone {name}"
            assert not np.isnan(tail).any(), f"nan found in tail of bone {name}"
        
        for i in range(J):
            if add_root is False and i==0:
                continue
            edit_bones = armature.edit_bones
            pname = 'Root' if parents[i] is None else names[parents[i]]
            extrude_bone(edit_bones, names[i], pname, joints[i], tails[i], connects[i])
        for i in range(J):
            bone = edit_bones.get(names[i])
            bone.head = Vector((joints[i, 0], joints[i, 1], joints[i, 2]))
            bone.tail = Vector((tails[i, 0], tails[i, 1], tails[i, 2]))
        
        if vertices is None or skin is None:
            return
        # must set to object mode to enable parent_set
        bpy.ops.object.mode_set(mode='OBJECT')
        objects = bpy.data.objects
        for o in bpy.context.selected_objects:
            o.select_set(False)
        ob = objects['character']
        arm = bpy.data.objects['Armature']
        ob.select_set(True)
        arm.select_set(True)
        bpy.ops.object.parent_set(type='ARMATURE_NAME')
        vis = []
        for x in ob.vertex_groups:
            vis.append(x.name)
        #sparsify
        argsorted = np.argsort(-skin, axis=1)
        vertex_group_reweight = skin[np.arange(skin.shape[0])[..., None], argsorted]
        if group_per_vertex == -1:
            group_per_vertex = vertex_group_reweight.shape[-1]
        if not do_not_normalize:
            vertex_group_reweight = vertex_group_reweight / vertex_group_reweight[..., :group_per_vertex].sum(axis=1)[...,None]

        for v, w in enumerate(skin):
            for ii in range(group_per_vertex):
                i = argsorted[v, ii]
                if i >= J:
                    continue
                n = names[i]
                if n not in vis:
                    continue
                ob.vertex_groups[n].add([v], vertex_group_reweight[v, ii], 'REPLACE')

    def _clean_bpy(self):
        import bpy # type: ignore
        for c in bpy.data.actions:
            bpy.data.actions.remove(c)
        for c in bpy.data.armatures:
            bpy.data.armatures.remove(c)
        for c in bpy.data.cameras:
            bpy.data.cameras.remove(c)
        for c in bpy.data.collections:
            bpy.data.collections.remove(c)
        for c in bpy.data.images:
            bpy.data.images.remove(c)
        for c in bpy.data.materials:
            bpy.data.materials.remove(c)
        for c in bpy.data.meshes:
            bpy.data.meshes.remove(c)
        for c in bpy.data.objects:
            bpy.data.objects.remove(c)
        for c in bpy.data.textures:
            bpy.data.textures.remove(c)
    
    def _export_fbx(
        self,
        path: str,
        vertices: Union[ndarray, None],
        joints: ndarray,
        skin: Union[ndarray, None],
        parents: List[Union[int, None]],
        names: List[str],
        faces: Union[ndarray, None]=None,
        extrude_size: float=0.03,
        group_per_vertex: int=-1,
        add_root: bool=False,
        do_not_normalize: bool=False,
        use_extrude_bone: bool=True,
        use_connect_unique_child: bool=True,
        extrude_from_parent: bool=True,
        tails: Union[ndarray, None]=None,
    ):
        '''
        Requires bpy installed
        '''
        import bpy # type: ignore
        self._safe_make_dir(path)
        self._clean_bpy()
        self._make_armature(
            vertices=vertices,
            joints=joints,
            skin=skin,
            parents=parents,
            names=names,
            faces=faces,
            extrude_size=extrude_size,
            group_per_vertex=group_per_vertex,
            add_root=add_root,
            do_not_normalize=do_not_normalize,
            use_extrude_bone=use_extrude_bone,
            use_connect_unique_child=use_connect_unique_child,
            extrude_from_parent=extrude_from_parent,
            tails=tails,
        )
        
        # always enable add_leaf_bones to keep leaf bones
        bpy.ops.export_scene.fbx(filepath=path, check_existing=False, add_leaf_bones=False)
    
    def _export_render(
        self,
        path: str,
        vertices: Union[ndarray, None],
        faces: Union[ndarray, None],
        bones: Union[ndarray, None],
        resolution: Tuple[float, float]=[256, 256],
    ):
        import bpy # type: ignore
        import bpy_extras # type: ignore
        from mathutils import Vector # type: ignore
        
        self._safe_make_dir(path)
        # normalize into [-1, 1]^3
        # copied from augment
        assert (vertices is not None) or (bones is not None)
        bounds = []
        if vertices is not None:
            bounds.append(vertices)
        if bones is not None:
            bounds.append(bones[:, :3])
            bounds.append(bones[:, 3:])
        bounds = np.concatenate(bounds, axis=0)
        bound_min = bounds.min(axis=0)
        bound_max = bounds.max(axis=0)
        
        trans_vertex = np.eye(4)
        
        trans_vertex = _trans_to_m(-(bound_max + bound_min)/2) @ trans_vertex
        
        # scale into the cube [-1, 1]
        scale = np.max((bound_max - bound_min) / 2)
        trans_vertex = _scale_to_m(1. / scale) @ trans_vertex
        
        def _apply(v: ndarray, trans: ndarray) -> ndarray:
            return np.matmul(v, trans[:3, :3].transpose()) + trans[:3, 3]
        
        if vertices is not None:
            vertices = _apply(vertices, trans_vertex)
        if bones is not None:
            bones[:, :3] = _apply(bones[:, :3], trans_vertex)
            bones[:, 3:] = _apply(bones[:, 3:], trans_vertex)
        
        # bpy api calls
        self._clean_bpy()
        bpy.context.scene.render.engine = 'BLENDER_WORKBENCH'
        bpy.context.scene.render.film_transparent = True
        bpy.context.scene.display.shading.background_type = 'VIEWPORT'
        
        collection = bpy.data.collections.new('new_collection')
        bpy.context.scene.collection.children.link(collection)
        
        if vertices is not None:
            mesh_data = bpy.data.meshes.new(name="MeshData")
            mesh_obj = bpy.data.objects.new(name="MeshObject", object_data=mesh_data)
            collection.objects.link(mesh_obj)

            mesh_data.from_pydata((vertices).tolist(), [], faces.tolist())
            mesh_data.update()

        def look_at(camera, point):
            direction = point - camera.location
            rot_quat = direction.to_track_quat('-Z', 'Y')
            camera.rotation_euler = rot_quat.to_euler()
        
        bpy.ops.object.camera_add(location=(4, -4, 2.5))
        camera = bpy.context.object
        camera.data.angle = np.radians(25.0)
        look_at(camera, Vector((0, 0, -0.2)))
        bpy.context.scene.camera = camera

        bpy.context.scene.render.resolution_x = resolution[0]
        bpy.context.scene.render.resolution_y = resolution[1]
        bpy.context.scene.render.image_settings.file_format = 'PNG'
        bpy.context.scene.render.filepath = path

        bpy.ops.render.render(write_still=True)
        # some AI generated code to draw bones over mesh
        if bones is not None:
            # TODO: do not save image after rendering
            from PIL import Image, ImageDraw
            img_pil = Image.open(path).convert("RGBA")
            draw = ImageDraw.Draw(img_pil)
            
            from bpy_extras.image_utils import load_image  # type: ignore
            bpy.context.scene.use_nodes = True
            nodes = bpy.context.scene.node_tree.nodes
            # nodes.clear()

            img = load_image(path)
            image_node = nodes.new(type='CompositorNodeImage')
            image_node.image = img

            for i, bone in enumerate(bones):
                head, tail = bone[:3], bone[3:]
                head_2d = bpy_extras.object_utils.world_to_camera_view(bpy.context.scene, camera, Vector(head))
                tail_2d = bpy_extras.object_utils.world_to_camera_view(bpy.context.scene, camera, Vector(tail))

                res_x, res_y = resolution
                head_pix = (head_2d.x * res_x, (1 - head_2d.y) * res_y)
                tail_pix = (tail_2d.x * res_x, (1 - tail_2d.y) * res_y)
                draw.line([head_pix, tail_pix], fill=(255, 0, 0, 255), width=1)
            img_pil.save(path)

def _trans_to_m(v: ndarray):
    m = np.eye(4)
    m[0:3, 3] = v
    return m

def _scale_to_m(r: ndarray):
    m = np.zeros((4, 4))
    m[0, 0] = r
    m[1, 1] = r
    m[2, 2] = r
    m[3, 3] = 1.
    return m