Esempio n. 1
0
def snap_on_wall(obj, wall, obj_poly, wall_poly):
    if wall_poly.intersects(obj_poly):
        intersection = wall_poly.intersection(obj_poly)
        if type(intersection) == shape_string:
            return
        elif type(intersection) == shape_poly:
            xy = np.array(intersection.exterior.coords.xy)
            ptp = xy.ptp(axis=1)
            for move in [(ptp[0], 0), (-ptp[0], 0), (0, ptp[1]), (0, -ptp[1])]:
                temp_obj = shape_poly(obj.get_coords() + move)
                if type(temp_obj.intersection(wall_poly)) == shape_string:
                    obj.center += move
                    return
    else:
        distance = wall_poly.distance(obj_poly)
        overlaps = []
        dirs = [(distance, 0), (-distance, 0), (0, distance), (0, -distance)]
        for move in dirs:
            temp_obj = shape_poly(obj.get_coords() + move)
            if not temp_obj.intersects(wall_poly):
                overlaps.append(np.finfo(np.float).max)
            else:
                overlaps.append(obj_poly.intersection(wall_poly).area)
        snap_dir = np.argmin(np.array(overlaps))
        obj.center += dirs[snap_dir]
        return
    print('No wall is found to fit the criteria...')
Esempio n. 2
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def overlaps(bbox_i, bbox_j):
    coord_i_xy = shape_poly(bbox_i[1].get_coords())
    i_z = bbox_i[1].z
    coord_j_xy = shape_poly(bbox_j[1].get_coords())
    j_z = bbox_j[1].z
    if coord_i_xy.intersects(coord_j_xy):
        z_overlap = get_z_overlaps(i_z, j_z)
        return coord_i_xy.intersection(coord_j_xy).area * z_overlap
    return 0
def process_hole_elements(model_id, cat):
    hole_cats = ['Door', 'Window', 'Hole']
    if cat not in hole_cats:
        raise ValueError('{} is not among the hole categories')
    with open(model_id, 'r') as fp:
        data = json.load(fp)
    components = [f for f in data['mesh'] if f['type'] == cat and get_bbox(f)[1][1] > 0.05]
    polys = [mesh_to_xy_convex_hull(np.array(w['xyz']).reshape([-1,3])) for w in components]
    zs = []
    for w in components:
        mmin, mmax = get_bbox(w) 
        zs.append((mmin[1], mmax[1]))
    filtered_poly = []
    filtered_indexes = []
    for i,p in enumerate(polys):
        ith_poly = shape_poly(p)
        if intersects(ith_poly, filtered_poly):
            continue
        filtered_poly.append(ith_poly)
        filtered_indexes.append(i)
    zs = [p for i,p in enumerate(zs) if i in filtered_indexes]
    polys = [p for i,p in enumerate(polys) if i in filtered_indexes]

    rects = [minimum_bounding_rectangle(p) for p in polys]
    bboxes = [polygon_to_bbox(p[:,0], p[:,1], z, scale_factor=1.) for p,z in zip(rects, zs) if z[0] != z[1]]
    return polys,bboxes
Esempio n. 4
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def snap_out_of_wall(obj, wall, obj_poly, wall_poly):
    intersection = wall_poly.intersection(obj_poly)
    if type(intersection) == shape_string:
        overlap_margin = 0.001
        for move in [(overlap_margin, 0), (-overlap_margin, 0),
                     (0, overlap_margin), (0, -overlap_margin)]:
            temp_obj = shape_poly(obj.get_coords() + move)
            if not temp_obj.intersects(wall_poly):
                obj.center += move
                return
    elif type(intersection) == shape_poly:
        xy = np.array(intersection.exterior.coords.xy)
        ptp = xy.ptp(axis=1) + 0.001
        for move in [(ptp[0], 0), (-ptp[0], 0), (0, ptp[1]), (0, -ptp[1])]:
            temp_obj = shape_poly(obj.get_coords() + move)
            if not temp_obj.intersects(wall_poly):
                obj.center += move
                return
def gen_structure(wall_bbox,
                  hole_bbox,
                  floor_bbox,
                  model_dir,
                  skirt_pts,
                  save_obj=False,
                  overwrite=False):
    # finding correspondence between wall and windows
    # print('Examining walls and holes...')
    walls_poly = []
    for bbox in wall_bbox:
        polygon = shape_poly(bbox.get_coords())
        walls_poly.append(polygon)
    holes_poly = []
    for bbox, _ in hole_bbox:
        polygon = shape_poly(bbox.get_coords())
        holes_poly.append(polygon)

    walls_to_holes = defaultdict(lambda: [])
    for hi, hole in enumerate(holes_poly):
        has_intersect = False
        distances = []
        overlaps = [hole.intersects(wall) for wall in walls_poly]
        overlaps_area = [
            hole.intersection(wall).area if overlap else 0
            for overlap, wall in zip(overlaps, walls_poly)
        ]
        if sum(overlaps) > 1:
            max_idx = np.argmax(overlaps_area)
            for wi, o in enumerate(overlaps):
                if wi == max_idx:
                    walls_to_holes[wi].append(hole_bbox[hi])
                elif o:
                    snap_out_of_wall(hole_bbox[hi][0], wall_bbox[wi], hole,
                                     walls_poly[wi])
        elif sum(overlaps) == 1:
            wi = overlaps.index(True)
            walls_to_holes[wi].append(hole_bbox[hi])
        else:
            continue

    if save_obj:
        structure_dir = os.path.join(model_dir, 'shape', 'visual')
        os.makedirs(structure_dir, exist_ok=True)
        vhacd_dir = os.path.join(model_dir, 'shape', 'collision')
        os.makedirs(vhacd_dir, exist_ok=True)

    verts = []
    faces = []

    structure_obj = []
    num_verts = 0
    for idx, w in enumerate(wall_bbox):

        wall = Wall_bbox(w, ceiling_height=w.z[1])
        if idx in walls_to_holes:
            for bbox, oname in walls_to_holes[idx]:
                new_bb = wall.add_hole(bbox)
                if oname != '':
                    structure_obj.append((new_bb, oname))
        v, f = wall.build()
        if save_obj:
            cm_path = os.path.join(vhacd_dir, 'wall_{}_cm.obj'.format(idx))
            if overwrite or not os.path.isfile(cm_path):
                wall.build_collision_mesh(cm_path)

        verts.append(v)
        f[:, :3] += num_verts
        faces.append(f)
        num_verts += v.shape[0]

        v, f = wall.add_skirt(skirt_pts)
        verts.append(v)
        f[:, :3] += num_verts
        faces.append(f)
        num_verts += v.shape[0]

    v = np.concatenate(verts, axis=0)
    f = np.concatenate(faces, axis=0)
    if save_obj:
        vm_path = os.path.join(structure_dir, 'wall_vm.obj'.format(idx))
        if overwrite or not os.path.isfile(vm_path):
            with open(vm_path, 'w') as fp:
                for vs in v.reshape([-1, 3]):
                    fp.write('v {} {} {}\n'.format(*vs))
                for f1, f2, f3, fn in f:
                    fp.write('f {f1} {f2} {f3}\n'.format(f1=f1, f2=f2, f3=f3))

    ### Process floors
    floor_counter = 0
    if len(floor_bbox) > 0 and type(floor_bbox[0]) is not list:
        floor_ids = set([i for _, i in floor_bbox])
        if 0 in floor_ids:
            floor_id_remap = {}
            for i in floor_ids:
                floor_id_remap[i] = i + 1
        else:
            floor_id_remap = {}
            for i in floor_ids:
                floor_id_remap[i] = i
            floor_id_remap[-1] = 0

        floor_polygons = defaultdict(lambda: [])
        for idx, (bbox, id) in enumerate(floor_bbox):
            if floor_id_remap[id] == 0:
                # print(floor_counter)
                if save_obj:
                    floor_path = os.path.join(
                        structure_dir, 'floor_{}_vm.obj'.format(floor_counter))
                    v, f = gen_cube_obj(
                        bbox,
                        floor_path,
                        is_color=False,
                        should_save=(overwrite
                                     or not os.path.isfile(floor_path)))
                    v = np.asarray(v)
                    f = np.asarray(f)
                    verts.append(v)
                    f[:, :3] += num_verts
                    faces.append(f)
                    num_verts += v.shape[0]
                floor_counter += 1
            else:
                floor_polygons[floor_id_remap[id]].append(
                    shape_poly(bbox.get_coords()))
    else:
        floor_polygons = {}
        for i, f in enumerate(floor_bbox):
            floor_polygons[i] = [shape_poly(f)]

    thickness = 0.2
    for k, polys in floor_polygons.items():
        if len(polys) > 1:
            x, y = cascaded_union(polys).exterior.coords.xy
        else:
            x, y = polys[0].exterior.coords.xy
        v = np.asarray([x, y]).T
        v = v[:-1]
        v_flat = np.reshape(v, -1)
        f_t = np.array(earcut.earcut(v_flat)).reshape((-1, 3)) + 1
        v_z = np.asarray([
            0.,
        ] * int(v.shape[0]))[:, np.newaxis]
        top_v = np.concatenate([v, v_z], axis=-1)
        back_v = top_v + 0.0
        back_v[:, -1] = -thickness
        f_b = f_t + len(top_v)
        temp = f_b[:, 1] + 0.0
        f_b[:, 1] = f_b[:, 0]
        f_b[:, 0] = temp
        cross_faces = []
        curr_point = 1
        num_front_plane = len(top_v)
        for idx in range(num_front_plane):
            if idx == num_front_plane - 1:
                next_point = 1
            else:
                next_point = curr_point + 1
                cross_faces.append(
                    (curr_point, next_point, curr_point + num_front_plane))
                cross_faces.append((curr_point + num_front_plane, next_point,
                                    next_point + num_front_plane))
            curr_point = next_point
        v = np.concatenate([top_v, back_v])
        f = np.concatenate([f_t, f_b, cross_faces], axis=0)
        f_n = np.asarray([
            0,
        ] * int(f.shape[0]))[:, np.newaxis]
        f = np.concatenate([f, f_n], axis=-1)
        if save_obj:
            floor_path = os.path.join(structure_dir,
                                      'floor_{}_vm.obj'.format(floor_counter))
            if overwrite or not os.path.isfile(floor_path):
                with open(floor_path, 'w') as fp:
                    for vs in v.reshape([-1, 3]):
                        fp.write('v {} {} {}\n'.format(*vs))
                    for f1, f2, f3, fn in f.reshape([-1, 4]):
                        fp.write('f {f1} {f2} {f3}\n'.format(f1=f1,
                                                             f2=f2,
                                                             f3=f3))

        verts.append(v)
        f[:, :3] += num_verts
        faces.append(f)
        num_verts += v.shape[0]
        floor_counter += 1

    verts = np.concatenate(verts, axis=0)
    faces = np.concatenate(faces, axis=0)
    if save_obj:
        with open(os.path.join(model_dir, 'misc', 'structure.obj'), 'w') as fp:
            for vs in verts.reshape([-1, 3]):
                fp.write('v {} {} {}\n'.format(*vs))

            for f1, f2, f3, fn in faces.reshape([-1, 4]):
                fp.write('f {f1} {f2} {f3}\n'.format(f1=f1, f2=f2, f3=f3))

    xa, ya, _ = verts.min(axis=0)
    x, y, _ = verts.max(axis=0)
    floor_coords = np.asarray([(x, y), (xa, y), (xa, ya), (x, ya)])
    total_floor = BBox(floor_coords, 0, 0 - thickness)

    if save_obj:
        floor_cm_path = os.path.join(vhacd_dir, 'floor_cm.obj')
        if overwrite or not os.path.isfile(floor_cm_path):
            gen_cube_obj(total_floor, floor_cm_path, is_color=False)
        total_ceiling = BBox(floor_coords, ceiling_height + thickness,
                             ceiling_height)
        ceiling_cm_path = os.path.join(vhacd_dir, 'ceiling_cm.obj')
        if overwrite or not os.path.isfile(ceiling_cm_path):
            gen_cube_obj(total_ceiling, ceiling_cm_path, is_color=False)
        ceiling_vm_path = os.path.join(structure_dir, 'ceiling_vm.obj')
        if overwrite or not os.path.isfile(ceiling_vm_path):
            gen_cube_obj(total_ceiling, ceiling_vm_path, is_color=False)

    bbox_dir = os.path.join(model_dir, 'misc', 'bbox')
    os.makedirs(bbox_dir, exist_ok=True)
    all_objects = []
    for idx, (bbox, oclass) in enumerate(structure_obj):
        bbox_path = os.path.join(bbox_dir,
                                 '{}_{}_bbox.obj'.format(oclass, idx))
        x, y, z = bbox.get_scale()
        if x > y:
            continue
        gen_cube_obj(bbox, bbox_path, is_color=True)
        bbox_dict = bbox.as_dict()
        bbox_dict['category'] = oclass
        bbox_dict['instance'] = None
        bbox_dict['is_fixed'] = True
        bbox_dict['theta'] = bbox.get_rotation_angle()
        all_objects.append(bbox_dict)
    return all_objects
def export_scene(fixed_obj_bbox, free_obj_bbox, wall_bbox, model_dir):
    walls_poly = []
    for bbox in wall_bbox:
        polygon = shape_poly(bbox.get_coords())
        walls_poly.append(polygon)

    free_poly = []
    for _, bbox in free_obj_bbox:
        polygon = shape_poly(bbox.get_coords())
        free_poly.append(polygon)
    for i, obj in enumerate(free_poly):
        for wi, wall in enumerate(walls_poly):
            if obj.intersects(wall):
                snap_out_of_wall(free_obj_bbox[i][1], wall_bbox[wi], obj, wall)
    free_poly_snapped = [
        shape_poly(bbox.get_coords()) for _, bbox in free_obj_bbox
    ]
    to_delete = []
    for i, obj in enumerate(free_poly_snapped):
        for wi, wall in enumerate(walls_poly):
            if obj.intersects(wall):
                to_delete.append(i)
    free_obj_bbox = [
        f for i, f in enumerate(free_obj_bbox) if i not in to_delete
    ]

    fixed_poly = []
    for _, bbox in fixed_obj_bbox:
        polygon = shape_poly(bbox.get_coords())
        fixed_poly.append(polygon)
    vs = []
    fs = []
    all_objects = []

    bbox_dir = os.path.join(model_dir, 'misc', 'bbox')
    os.makedirs(bbox_dir, exist_ok=True)
    for i, (oclass, bbox) in enumerate(free_obj_bbox):
        if oclass == 'shower_head':
            continue
        bbox_dict = bbox.as_dict()
        instance = None
        if '=' in oclass:
            oclass, instance = oclass.split('=')
            instance = int(instance)
        bbox_path = os.path.join(bbox_dir,
                                 'free_{}_{}_bbox.obj'.format(oclass, i))
        gen_cube_obj(bbox, bbox_path, is_color=True)
        bbox_dict['category'] = oclass
        bbox_dict['instance'] = instance
        bbox_dict['is_fixed'] = False
        bbox_dict['theta'] = bbox.get_rotation_angle()
        all_objects.append(bbox_dict)

    for i, (oclass, bbox) in enumerate(fixed_obj_bbox):
        if oclass == 'shower_head':
            continue
        bbox_dict = bbox.as_dict()
        instance = None
        if '=' in oclass:
            oclass, instance = oclass.split('=')
            instance = int(instance)
        bbox_path = os.path.join(bbox_dir,
                                 'fixed_{}_{}_bbox.obj'.format(oclass, i))
        gen_cube_obj(bbox, bbox_path, is_color=True)
        bbox_dict['category'] = oclass
        bbox_dict['instance'] = instance
        bbox_dict['is_fixed'] = True
        bbox_dict['theta'] = bbox.get_rotation_angle()
        all_objects.append(bbox_dict)

    return all_objects
Esempio n. 7
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def main():
    args = parser.parse_args()
    model_dir = os.path.normpath(args.model_dir)
    print(model_dir)
    # model_id = "_".join(model_dir.split('/')[-2:])
    model_id = os.path.basename(os.path.normpath(model_dir))
    svg_file = os.path.join(model_dir, 'model.svg')
    img_path = os.path.join(model_dir, 'F1_scaled.png')
    svg = minidom.parse(svg_file)  # parseString also exists
    fplan = cv2.imread(img_path)
    fplan = cv2.cvtColor(fplan, cv2.COLOR_BGR2RGB)  # correct color channels
    height, width, nchannel = fplan.shape
    shape = height, width

    wall_bboxes, wall_image = get_wall(svg, shape)
    window_bboxes, door_bboxes = get_window_door(svg)
    furniture_bboxes = get_furniture(svg, wall_image)
    floor_polygons = get_floor(svg)

    overlaps = defaultdict(lambda: [])
    for i in range(len(furniture_bboxes)):
        for j in range(i + 1, len(furniture_bboxes)):
            if has_overlap(furniture_bboxes[i][1], furniture_bboxes[j][1]):
                overlaps[(i, furniture_bboxes[i][1])].append(
                    (j, furniture_bboxes[j][1]))
                overlaps[(j, furniture_bboxes[j][1])].append(
                    (i, furniture_bboxes[i][1]))

    to_delete = []

    for _ in range(len(overlaps)):
        overlaps_list = list(overlaps.items())
        overlaps_list.sort(key=lambda x: -get_volume(x[0][1]))
        overlaps_list.sort(key=lambda x: -len(x[1]))
        o = overlaps_list[0]
        # try shrinking
        shrink_success = False
        bbox = o[0][1]
        edge_x_og = bbox.edge_x[:]
        edge_y_og = bbox.edge_y[:]
        for scale_factor in range(20):
            scale = 1. - 0.01 * scale_factor
            # try scale edge_x
            bbox.edge_x = edge_x_og * scale
            overlap = False
            for i in o[1]:
                if has_overlap(bbox, i[1]):
                    overlap = True
                    break
            if not overlap:
                shrink_success = True
                break
            bbox.edge_x = edge_x_og
            # try scale edge_y
            bbox.edge_y = edge_y_og * scale
            overlap = False
            for i in o[1]:
                if has_overlap(bbox, i[1]):
                    overlap = True
                    break
            if not overlap:
                shrink_success = True
                break
            bbox.edge_y = edge_y_og
            # try scale both
            bbox.edge_y = edge_y_og * scale
            bbox.edge_x = edge_x_og * scale
            overlap = False
            for i in o[1]:
                if has_overlap(bbox, i[1]):
                    overlap = True
                    break
            if not overlap:
                shrink_success = True
                break

        if shrink_success:
            furniture_bboxes[o[0][0]] = (furniture_bboxes[o[0][0]][0], bbox)
        else:
            # add to delete
            to_delete.append(o[0][0])
        # update graph
        for j in o[1]:
            overlaps[j].remove(o[0])
        del overlaps[o[0]]

    for i in sorted(to_delete, reverse=True):
        del furniture_bboxes[i]

    ##################################
    # Splitting into separate floors #
    ##################################
    total_image = Image.new('1', (height, width), 0)
    d = ImageDraw.Draw(total_image)

    for group in [wall_bboxes, door_bboxes, window_bboxes]:
        for bbox in group:
            coords = bbox.get_coords() * 100.
            y = coords[:, 0]
            x = coords[:, 1]
            d.polygon(list(zip(y, x)), fill=1)
    for _, bbox in furniture_bboxes:
        coords = bbox.get_coords() * 100.
        y = coords[:, 0]
        x = coords[:, 1]
        d.polygon(list(zip(y, x)), fill=1)
    for _, coords in floor_polygons:
        y = coords[:, 0] * 100.
        x = coords[:, 1] * 100.
        d.polygon(list(zip(y, x)), fill=1)
    int_image = np.array(total_image).astype(np.uint8)
    binary = cv2.threshold(int_image, 0, 255,
                           cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]
    ret, labels = cv2.connectedComponents(binary)
    masks = []
    for label in range(1, ret):
        mask = np.zeros_like(int_image)
        mask[labels == label] = 1
        masks.append(mask)
    # iterate through list of masks, each of which is a floor
    for floor_i, mask_i in enumerate(masks):
        wall_bboxes_i = []
        window_bboxes_i = []
        door_bboxes_i = []
        furniture_bboxes_i = []
        floor_polygons_i = []
        for bbox in wall_bboxes:
            y, x = (bbox.center * 100.).astype(int)
            if y >= height:
                y = height - 1
            if x >= width:
                x = width - 1
            if mask_i[x, y] == 1:
                wall_bboxes_i.append(bbox)
        for bbox in door_bboxes:
            y, x = (bbox.center * 100.).astype(int)
            if y >= height:
                y = height - 1
            if x >= width:
                x = width - 1
            if mask_i[x, y] == 1:
                door_bboxes_i.append(bbox)
        for bbox in window_bboxes:
            y, x = (bbox.center * 100.).astype(int)
            if y >= height:
                y = height - 1
            if x >= width:
                x = width - 1
            if mask_i[x, y] == 1:
                window_bboxes_i.append(bbox)
        for c, bbox in furniture_bboxes:
            y, x = (bbox.center * 100.).astype(int)
            if y >= height:
                y = height - 1
            if x >= width:
                x = width - 1
            if mask_i[x, y] == 1:
                furniture_bboxes_i.append((c, bbox))
        for poly in floor_polygons:
            y, x = (np.array(shape_poly(poly[1]).representative_point()) *
                    100.).astype(int)
            if y >= height:
                y = height - 1
            if x >= width:
                x = width - 1
            if mask_i[x, y] == 1:
                floor_polygons_i.append(poly)
        if len(wall_bboxes_i) < 4 or len(floor_polygons_i) < 1:
            # This suggests that the mask doesn't represent a floor
            continue
        model_dir = os.path.join(args.save_root,
                                 '{}_floor_{}'.format(model_id, floor_i))
        os.makedirs(model_dir, exist_ok=True)
        save_dir = os.path.join(model_dir, 'misc')
        os.makedirs(save_dir, exist_ok=True)
        with open(os.path.join(save_dir, 'wall.json'), 'w') as fp:
            json.dump([bbox.as_dict() for bbox in wall_bboxes_i], fp)
        with open(os.path.join(save_dir, 'window.json'), 'w') as fp:
            json.dump([bbox.as_dict() for bbox in window_bboxes_i], fp)
        with open(os.path.join(save_dir, 'door.json'), 'w') as fp:
            json.dump([bbox.as_dict() for bbox in door_bboxes_i], fp)
        with open(os.path.join(save_dir, 'furniture.json'), 'w') as fp:
            json.dump([(cat, bbox.as_dict())
                       for cat, bbox in furniture_bboxes_i], fp)
        with open(os.path.join(save_dir, 'floor.json'), 'w') as fp:
            json.dump([(cat, poly.tolist()) for cat, poly in floor_polygons_i],
                      fp)

        layout_dir = os.path.join(model_dir, 'layout')
        os.makedirs(layout_dir, exist_ok=True)

        coords = [bbox.get_coords() for bbox in wall_bboxes_i]
        stacked = np.vstack(coords)
        xmin, ymin = stacked.min(axis=0)
        xmax, ymax = stacked.max(axis=0)
        max_length = np.max(
            [np.abs(xmin),
             np.abs(ymin),
             np.abs(xmax),
             np.abs(ymax)])
        max_length = np.ceil(max_length).astype(np.int)
        ins_image = Image.new('L',
                              (2 * max_length * 100, 2 * max_length * 100), 0)
        d1 = ImageDraw.Draw(ins_image)
        sem_image = Image.new('L',
                              (2 * max_length * 100, 2 * max_length * 100), 0)
        d2 = ImageDraw.Draw(sem_image)
        for i, (cat, poly) in enumerate(floor_polygons_i):
            room_id = rooms.index(cat)
            pts = [((x + max_length) * 100., (y + max_length) * 100.)
                   for x, y in poly]
            d1.polygon(pts, fill=i + 1)
            d2.polygon(pts, fill=room_id + 1)

        ins_image.save(os.path.join(layout_dir, 'floor_insseg_0.png'))
        sem_image.save(os.path.join(layout_dir, 'floor_semseg_0.png'))

        padded_image = Image.new('L', (3000, 3000), 0)
        og_size = sem_image.size
        padded_image.paste(sem_image, ((3000 - og_size[0]) // 2,
                                       (3000 - og_size[1]) // 2))
        light_image = semmap_to_lightmap(np.array(padded_image))
        light_image.save(os.path.join(layout_dir, 'floor_lighttype_0.png'))

        if args.viz:
            from mpl_toolkits.axes_grid1 import make_axes_locatable
            fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(13, 5))
            divider = make_axes_locatable(ax[0])
            cax = divider.append_axes('right', size='5%', pad=0.05)
            im = ax[0].imshow(ins_image)
            fig.colorbar(im, cax=cax, orientation='vertical')

            divider = make_axes_locatable(ax[1])
            cax = divider.append_axes('right', size='5%', pad=0.05)
            im = ax[1].imshow(sem_image)
            fig.colorbar(im, cax=cax, orientation='vertical')
            png_path = os.path.join(save_dir, 'room_sem_viz.png')
            fig.savefig(png_path)

            wall_patches = [
                Polygon(bbox.get_coords(), True, color='b')
                for bbox in wall_bboxes_i
            ]
            window_patches = [
                Polygon(bbox.get_coords(), True, color='b')
                for bbox in window_bboxes_i
            ]
            door_patches = [
                Polygon(bbox.get_coords(), True, color='b')
                for bbox in door_bboxes_i
            ]
            furn_patches = [
                Polygon(bbox.get_coords(), True, color='b')
                for c, bbox in furniture_bboxes_i
            ]
            floor_patches = [
                Polygon(poly, True, color='b')
                for cat, poly in floor_polygons_i
            ]

            quivers = [
                np.array([*bbox.center, *bbox.nrm])
                for c, bbox in furniture_bboxes_i
            ]

            fig, ax = plt.subplots(figsize=(11, 11))
            p0 = PatchCollection(floor_patches,
                                 cmap=matplotlib.cm.jet,
                                 alpha=0.3)
            colors = np.random.random(10)
            p0.set_array(colors)
            ax.add_collection(p0)
            p = PatchCollection(wall_patches, alpha=0.2)
            ax.add_collection(p)
            p1 = PatchCollection(window_patches, alpha=1)
            ax.add_collection(p1)
            p2 = PatchCollection(door_patches, alpha=1)
            p2.set_array(np.random.random(10))
            ax.add_collection(p2)
            p3 = PatchCollection(furn_patches, cmap=matplotlib.cm.jet, alpha=1)
            colors = 100 * np.random.random(10)
            p3.set_array(colors)
            ax.add_collection(p3)
            ax.set_ylim([0, width / 100.])
            ax.set_xlim([0, height / 100.])
            if len(quivers) > 0:
                x, y, u, v = np.vstack(quivers).transpose()
                ax.quiver(x, y, u, v, scale=20)
            png_path = os.path.join(save_dir, 'viz.png')
            fig.savefig(png_path)
def get_bbox_vol(bbox):
    coord_xy = shape_poly(bbox[1].get_coords())
    z = bbox[1].z
    return coord_xy.area * (z[1] - z[0])