The second step involves determining the number or tile rows and columns that will be requested for a given zoom level. First, we need to determine the output resolution for an input zoom level. The first step involves finding the metadata associated with the nearest panoramic image to a provided latitude and longitude. A call is made to Google Maps REST API to obtain metadata in JSON format. Simply replace “LAT” with your latitude and “LNG” with your longitude.Ī request is made using python requests to obtain the JSON metadata and the metadata is converted into a Python dictionary to obtain the values to the fields of interest, such as the panorama identifier label assigned by Google for the unique panoramic image, and overall panoramic image height and width. Reconstructing the tiles into a complete image.īefore getting to the script, I will describe the overall process used by the script to obtain the spherical imagery. Inputting a zoom level to adjust output resolution of the image (1 is lowest resolution, 5 is highest resolution).Ĥ. Obtaining metadata associated with the specific image, specifically the unique panoramic identification label and full image pixel resolution height and width.Ģ. I was recently exploring how to utilize Google Street View depth maps in combination with spherical imagery to reconstruct basic point clouds of city environments. I came across an article describing the process. I created a Python script to compose a panorama using Google Maps REST API using the methodology presented in the article. My script demonstrates:ġ. You can open the raw images in any spherical (360° panoramic) image viewer or use in a VR environment. If you need a more recent build, or different settings, you need to build it.įlight simulator that generates 3D scenery from OSM.The purpose of this article is to demonstrate how to obtain complete spherical images captured in Google Street View using Python. Areas with no OSM coverage may be set to be auto-generated. The official scenery sources provide a pre-built world. A powerful GPU and CPU is needed for high quality renders with large view distances. However, if you need realistic renders or a moving camera video with realistic weather and environment to showcase OSM data, FlightGear can produce it when configured properly - see their wiki for tips. FlightGear is a research quality simulator first, with an FDM engine that was used by NASA to set a benchmark - so expect a bit of learning curve. Notes on realistic renders to showcase OSM: Some learning to configure environment & weather. ![]() OSM objects are downloaded as you fly in FlightGear 2020.3.7 LTS or later. Detailed weather simulation with features like snow and rain build-up on OSM objects. Realistic weather and atmosphere rendering. Real-time rendering, accurate daylight and sky from celestial simulation. Can import OSM data through VTBuilder.įlight simulator: Accurate Earth model (oblate spheriod). Open-source Java application that shows 3D buildings, trees, and other elements.Ĭ++ OpenGL building and terrain generatorģD world generator. Isometric map of the Czech Republic generated from osm2pov Isometric map of Germany demonstrating what the 3D desktop application of OSM2World can do. Websites that show isometric maps Screenshot Shows 3D buildings, road signs, bridges, and trees. Map explorer that allows you to select viewing specific cities in various viewing applications or the 3D OSM Go viewer. ⇧ Shift + ↑ / ⇧ Shift + ↓ / ⇧ Shift + ← / ⇧ Shift + → Shows an example 3D rendering of indoor-modeled OSM elements. These scene layers can be used in Scene Viewer, ArcGIS Pro, and other ArcGIS apps that support 3D visualization.ģD buildings map visualization example on the MapLibre and Mapbox sites. These 3D scene layers feature global buildings and trees, with trees presented in two styles (realistic and thematic). Proprietary - terms at the bottom of their site in Frenchįree - composed of parts with different free licenses ![]() WebGL realtime render - with fountains, trees, meteo, shadows based on real sun/moon position Supported map features include but are not limited to complex building shapes, roads and paths, trees, etc. Applications that show 3D data Websites Screenshot
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