download_links ( 'downloads' )įor more usage details, see the Documentation. results ( params ) # Download images to directory 'downloads' results. Use as a Python module: # Import google_streetview for the api module import google_streetview.api # Define parameters for street view api params = # Create a results object results = google_streetview. Obtain a 360 panorama by rotating the camera heading given a 90 degree field of vision fov:: google_streetview -location="46.414382,10.013988" -fov=90 -heading=0 90 180 270 Save images to a directory: google_streetview -location="46.414382,10.013988" -save_downloads=downloads Usageįor help in the console: google_streetview -hĮnsure that a Google API developer key is set: google_streetview -s key="your_dev_key" Installįor the latest developer version, see Developer Install. Note: Google changed StreetView API pricing and a billing plan may be required (checked March 5, 2019). Here is an example:Īs usual, you can find the code on my github page.A command line tool and module for Google Street View Image API. I have written a small JavaScript library that fetches the data, decompresses it and computes a depth map from the planes. The geometry of the planes and the map containing the index of the plane at each pixel can be retrieved as Base64-encoded and zlib-compressed data by requesting the following URL: Therefore, in order to calculate the depth at a pixel, one has to determine the intersection point of a ray starting at the center of the camera and the plane corresponding to the pixel. A plane is given by its normal vector and its distance to the camera. Each pixel in a grid of 512×256 pixels references one of several planes. With Live View in Google Maps, see the way you need to go with arrows and.
Save time with automatic rerouting based on live traffic, incidents, and road closure. Catch your bus, train, or ride-share with real-time transit info. The depth information is stored in a slightly complicated way, probably to save bandwidth. Beat traffic with real-time ETAs and traffic conditions. As far as I know, there is no official documentation of the format, but there are some open source projects which contain code showing how to interpret the data. Besides high-resolution images, Google Street View also provides a depth map for each panorama, containing the distance from the camera to the nearest surface at each pixel.
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