mapillary / mapillary/mapillary_tools

New feature: Cut videos by start/end time

Open
#637 2 comments 1 reaction 0 assignees View on GitHub

Nobody has claimed this yet.

feature
Dominant language
Python
Stars
315
Forks
145
Avg merge
3d 10h
Merged PRs (30d)
2

Description

Background

As an contributor, I typically try to upload GoPro timelapse videos.
The segmentation of large videos is discussed in https://github.com/mapillary/mapillary_tools/issues/636.
Independently, there are cases where an existing video has to be cut and uploaded (e.g. to cut out maneuvering on a parking lot).
It would be convenient to do this via the Mapillary command line tool. Also, cutting using the Mapillary toolchain can make certain that video/time/telemetry data is consistent and meets Mapillary's own expectations.

New Feature Proposal
  • By default, the Mapillary command line tool should upload the specified video completely (behavior as of today).
  • If an optional start_time argument is passed, then the video is uploaded from the start_time.
  • If an optional end_time argument is passed, then the video is uploaded until the end_time.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading the CLI's existing video upload entry point and issue 636, which discusses related video segmentation. Trace how video, time, and telemetry data are handled, then define tests for uploads with optional start_time, end_time, both, and neither; no files or tests are named in the issue.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
audio-video-rtc, cli
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.