Skip to main content

Download panoramas and metadata from Street View and others

Project description

streetlevel

streetlevel is a library for downloading panoramas and metadata from street-level imagery services such as Google Street View, Apple Look Around, and several others. It provides a high-level abstraction over the internal APIs of the supported services – this means that no API keys are required, but the library may break unexpectedly.

(Nearly) all functions are available as either a sync function using requests or an async function using aiohttp, requiring a ClientSession.

Installation

pip install streetlevel

Example

Downloading the closest Google Street View panorama to a specific location, sync:

from streetlevel import streetview

pano = streetview.find_panorama(46.883958, 12.169002)
streetview.download_panorama(pano, f"{pano.id}.jpg")

Or async:

from streetlevel import streetview
from aiohttp import ClientSession

async with ClientSession() as session:
    pano = await streetview.find_panorama_async(46.883958, 12.169002, session)
    await streetview.download_panorama_async(pano, f"{pano.id}.jpg", session)

Documentation

Documentation is available at streetlevel.readthedocs.io.

Functionality overview

Services covering multiple countries are on the left; services covering one specific country are on the right.

✔ implemented / available; 🟡 partially implemented; ❌ not implemented; ⚫ not available / not applicable

Google
Street View
Apple
Look Around
Yandex
Panorama
Bing
Streetside
🇰🇷 Kakao
Road View
🇰🇷 Naver
Street View
🇨🇿 Mapy.cz
Panorama
🇮🇸 Já
360

Finding panoramas
How panoramas can be retrieved through the API.
Find panoramas around a point 1 1 1 1 1
Find panoramas by slippy map tile or bounding box 2 2 3
Get specific panorama by ID

Imagery
The type of imagery returned by the service.
Download panoramas 4
Download depth information 5 5

Image projection Equirectangular ??? Equirectangular Cubemap Equirectangular Cubemap Equirectangular Cubemap
Image format JPEG HEIC JPEG JPEG JPEG JPEG JPEG JPEG

Available metadata
Metadata returned by the API of the service alongside ID and location.
Capture date 6 9
Heading, pitch, roll 7 7 7
7
Elevation
Nearby / linked panoramas 8
Historical panoramas
Address
PoIs
Creator

1: Returns closest only
2: Tile, z=17
3: Bounding box
4: Unstitched
5: Appears to be a synthetic depth map created from elevation data and building footprints
6: Month and year only for official coverage, full date for inofficial coverage
7: Only heading; pitch/roll do not appear to be available
8: Previous and next image in sequence
9: Month and year only

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

streetlevel-0.9.1.tar.gz (97.6 kB view details)

Uploaded Source

Built Distribution

streetlevel-0.9.1-py3-none-any.whl (76.6 kB view details)

Uploaded Python 3

File details

Details for the file streetlevel-0.9.1.tar.gz.

File metadata

  • Download URL: streetlevel-0.9.1.tar.gz
  • Upload date:
  • Size: 97.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for streetlevel-0.9.1.tar.gz
Algorithm Hash digest
SHA256 db9e116bc303da53bea5b61a0cf5f85b893d22f50caa25ddcc871de4589de82a
MD5 ea93ecf6a0f09b43f44b9726687d8094
BLAKE2b-256 4f55a0cfe77ee9da12531200f2fd98d09fc2dcb9f3b0a577fa9fa042a6c848e0

See more details on using hashes here.

File details

Details for the file streetlevel-0.9.1-py3-none-any.whl.

File metadata

  • Download URL: streetlevel-0.9.1-py3-none-any.whl
  • Upload date:
  • Size: 76.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for streetlevel-0.9.1-py3-none-any.whl
Algorithm Hash digest
SHA256 f4fd5b3dfdc3ac132ab3b28b3a1d95483170f6006252ce1001d1e017e59baa30
MD5 d9fc543ff1c27b7698f2cfb200f2ed09
BLAKE2b-256 eefba2555b89213a914aae79dc16fbadd43a3b69dd8a495a034851bdb45e36b9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page