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+ datasets
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+bounding_box_max和bounding_box_min对应的是cloud.js里的tightBoundingBox
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+bundle_id？3
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+color？"pink"
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+gridmap_filename？"map.2cm.png" http://indoor.popsmart.cn:8084/sxswsw/data/2017-11-11_06.36.39/map.2cm.png
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+gridmap_orientation？0
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+gridmap_origin？[-19.984063, -15.131225]
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+gridmap_res？0.02
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+gridmap_size？[1334, 1703]
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+has_depth_images？是否有深度图
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+has_images？是否有全景图
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+id？43
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+location？[120.58636147069285, 29.991338912466446, 0.2674398422241211]
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+name：点云数据目录
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+orientation？-1.5064133791782077
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+point_cloud_type：数据类型，这里是点云———"POTREE"
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+security: 功能权限，如：{group_read: 0, group_write: 1, can_write: false}
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+site_model_entity_id？12
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+title？"1111-19"
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+type："NAVVIS"
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+visible？如：false
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+**********************************************************************************************************************************************************************************************
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+ camera_heads
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+alpha_masks：null|["M1/alphamask-100-808x616-0.png", "M1/alphamask-100-808x616-1.png", "M1/alphamask-100-808x616-2.png",…]|["M2-rev0/cam0.png", "M2-rev0/cam1.png", "M2-rev0/cam2.png", "M2-rev0/cam3.png", "M2-rev0/cam4.png",…]
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+blending：null|"+"
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+depth_fn_format？
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+depth_resolutions？0
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+fn_format:？cube图， "$ID-pano-tex-$TILE.jpg"|"$ID-ladybug-$INDEX.jpg"|"$ID-ladybug-$INDEX-tex.jpg"|"$ID-cam$INDEX.jpg"|"cam/tiles/r$RES/$ID100/$ID-cam$CAM-tex-r$RES-$TILE.jpg"
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+id: 1|2|3
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+identifier: "pano-rev0"|"m1-rev0-preview"|"m1-rev0"
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+meshes: ["pano/tiles/pano-00.obj", "pano/tiles/pano-01.obj", "pano/tiles/pano-02.obj",…]|["M1/ladybug0.obj", "M1/ladybug1.obj", "M1/ladybug2.obj", "M1/ladybug3.obj", "M1/ladybug4.obj",…]|["M1/ladybug0.obj", "M1/ladybug1.obj", "M1/ladybug2.obj", "M1/ladybug3.obj", "M1/ladybug4.obj",…]
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+name: "Panorama"|"Ladybug 3 Preview"|"Ladybug 3"
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+resolutions: 1
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+tiles: 32|0|0|16
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+**********************************************************************************************************************************************************************************************
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+ site_model
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+area: 9749.732002969164
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+attributes: {}
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+center: [120.58631611971951, 29.991368179921004, 0]
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+children: 格式和当前数据格式一致
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+geometry_hash: 1891071345
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+id: 1
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+name: "三味书屋"
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+polygon: {type: "Polygon",…}
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+type: "BUILDING"
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+volume: null
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+z_max: null
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+z_min: null
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+**********************************************************************************************************************************************************************************************
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+ tiled_maps (应该是地图数据)
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+bundle_id: 3
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+file_name: "$DEPTH/$X/$Y.png"
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+file_path: "data/bundle_e67bb877-9674-4549-b6c6-5edf049a8ef5/building_1/map_tiles/2"
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+floor_id: 2
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+id: 5
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+location: [120.58621281403158, 29.991430706723694, 0.22243994499999997]
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+map_size_m: 61.44
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+max_depth: 3
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+orientation: 朝向，应该是quaternation [0.6497313898579827, 0, 0, 0.7601638777482221]
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+quadtree: "fccf7fffcff3bf7f"
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+tile_size_px: 256
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+type: "TILED_PYRAMID"
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+**********************************************************************************************************************************************************************************************
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+ 1463（初始点id）
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+camera_head_id: 12
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+dataset_floor_location: [-0.8071792828, -7.8391666032, 0]
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+dataset_id: 61 //数据id，比如：分块了。自增1
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+dataset_location: [-0.9235293705548061, -7.901821757534243, 1.7464048584209941]
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+dataset_orientation: [-0.13446655377624134, 0.010837326206415367, -0.005118374440006826, 0.9908456491502733]
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+file_id: "00013" //应该是拍摄的时候，可以分多段拍摄，每一段都是从00000开始递增
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+file_path: "data/2017-11-11_06.42.12"
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+floor_location: [120.58627072961269, 29.991507924850293, 0.30361461639404297]
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+hidden: false
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+id: 1463
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+location: [120.58627208336249, 29.99150810503829, 2.050019474815037]
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+orientation: 朝向，应该是quaternation [-0.9992717488441094, 0.006889078915013335, 0.009807445534648216, 0.03622604707280119]
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+site_model_entity_id: 14
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+**********************************************************************************************************************************************************************************************
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+ within
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+貌似移动距离比较远的时候需要用到这个数据
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+**********************************************************************************************************************************************************************************************
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+要下载的数据：
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+camera_heads.json里：
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+1. meshes，如：http://indoor.popsmart.cn:8084/sxswsw/camera_head/pano/tiles/pano-01.obj
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+ 目前还缺少，补充
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+2. alpha_masks，http://indoor.popsmart.cn:8084/sxswsw/camera_head/+alpha_masks
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+3. 发送请求filter，返回一组数据。通过id，能找到所有的信息。比如：file_path，然后从camera_heads的固定规则里找到图片
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+4. "identifier": "pano-multires-rev0"———————————————————— fn_format对应的图片：32张，resolutions有个算法：getHighestRes，ID,INDEX等方面的算法：getImageFilename，file_id
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+ "fn_format": "pano/tiles/r$RES/$ID100/$ID-pano-tex-r$RES-$TILE.jpg",
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+ "depth_fn_format": "pano_depth/tiles/r$RES/$ID100/$ID-pano-depth-r$RES-$TILE.png",
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+
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+**********************************************************************************************************************************************************************************************
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+左侧栏的兴趣点对应：poi_types
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+
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+**********************************************************************************************************************************************************************************************
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+ 调试
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+core.map.tile_url
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+
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+
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+onLoadComplete 加载完全景图
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+是否有点云：t.config.showPointCloud
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+
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+t.prototype.mapToRepositoryEntities
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+e.promiseFinally = function(t, e) {
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+ return t.then((function(t) {
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+ return e(),
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+ t
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+ }
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+ )).catch((function(t) {
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+ return e(),
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+ Promise.reject(t)
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+ }
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+ ))
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+ }
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+**********************************************************************************************************************************************************************************************
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+ 两个后端请求
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+http://indoor.popsmart.cn:8084/sxswsw/api/site_model/within?location=120.58627789013173&location=29.99158123449871&location=1.149475336074829&type=FLOOR
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+http://indoor.popsmart.cn:8084/sxswsw/api/images/filter?hidden=false&lat=29.991621550412095&lon=120.58615962007934&radius=20&site_model_entity=2&site_model_entity=
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+**********************************************************************************************************************************************************************************************
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+ 换文件名称
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+0.000f190386b228875e25.js —————————— 0.js
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+1.c1853290f670423b7527.js —————————— 1.js
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+2.2ce6b49b8b065f35ecd0.js —————————— 2.js
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+3.eaed849cc22768e36240.js —————————— 3.js
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+14.4331acc2c778ecc64c4a.js —————————— 14.js
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+15.911fc079db6705d168db.js —————————— 15.js
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+17.82bbf60e16d46d39aea0.js —————————— 17.js
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+18.74aff998a9a0809c55ec.js —————————— 18.js
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+19.77825ef0e44aed4d6923.js —————————— 19.js
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+20.6b25999da18928efa560.js —————————— 20.js
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+21.6e35bf5486d7bec96c04.js —————————— 21.js
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+22.5e732276a454498ed917.js —————————— 22.js
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+23.8641b8fc3d6165bb187f.js —————————— 23.js
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+24.4b5f0f3ea342b634f9c3.js —————————— 24.js
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+25.1f3d6c9616e13f12f5f2.js —————————— 25.js
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+NotoSansCJKsc-Regular.3d696b37feacacc5ade6.js —————————— 5.js
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+fonts.5129d374a8ae9f620fd1.js —————————— 8.js
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+main.async.937f8f38454add70d57b.js —————————— 10.js
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+vendors~main.async.cbcba49054e73e98695c.js —————————— 12.js
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+PointCloud.6891a103d9b18f6f5ac7.worker.js —————————— PointCloud.worker.js
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+
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+
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+
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+9f295a8711d42490962d5d7eb42bfee1.pen-nib-solid.cur ———————————————————— pen-nib-solid.cur
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+3cc6dd6b814d62e7270783a55e55773d.pen-nib-solid.png ———————————————————— pen-nib-solid.png
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+a4a8aed5ebf7004a129844882204bbb4.rotate-cursor.png ———————————————————— rotate-cursor.png
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+681aa02995db01b49b6b5e6e83b85cce.rotate-cursor.cur ———————————————————— rotate-cursor.cur
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xushiting
