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