[Feature] Discussion over having a visual representation of the results

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#24 opened on Jun 24, 2021 3 comments 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty: 5/5
Estimated time: Over a week
Newbie friendliness: 25/100

Issue type: Feature
Clarity: Needs clarification
Activity status: Stale
Tech stack: jupyter, matplotlib, python
Domain: data, data-visualization

Research direction

Start by reviewing the Mapillary API v4 context and the maintainer-meeting discussion referenced in the issue, then inspect how bounding-box results are currently exposed by the Python SDK. The issue does not name files or tests; the scope and desired visualization interface need agreement before implementation, with a working notebook-oriented visualization as the likely completion criterion.

Written by the indexing model from the issue text.

Description

feature

Is your feature request related to a problem? Please describe.
It is not really as much of a problem, as it is that of a feature request. It would be great if there was a way of visualizing results from mapillary via a bounding box. This can help in geospatial analysis for enthusiasts in data science or for developers who like to perform visual analysis in Jupyter notebooks. The results can look something similar to this,

The above images were selected from the Getting Started with the new Mapillary API v4 post on Mapillary - Blog.

Describe the solution you'd like
One-liners, much like in libraries, for example, in networkx, and matplotlib, where there is a very easy of quickly generating a graph to see what the results look like. More code like the discussion is to be had later in the future, but this can serve as a ground basis for starting from somewhere

Describe alternatives you've considered
We can use something like the Folium library that helps in performing GeoSpatial analysis.

Additional context
This idea was slightly discussed in the 1st Maintainer Meeting on the 24th of June

Dominant language: Python
Stars: 66
Forks: 23
Avg merge: 1d 20h
Merged PRs (30d): 11

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