facebookresearch/SlowFast

Demo programme on camera input

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#34 opened on Nov 18, 2019

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Description

Hi,

I find this project very interesting and thanks for open-sourcing it.

I am trying to make a demo programme to load and run the models (e.g. SlowFast) and infer it using input from a USB camera to visually evaluate the accuracy and performance and I wonder if it would it be possible? if so could you briefly elaborate on which modules should be used and how it could be implemented?

Thanks in advance.

Contributor guide

Research direction
Review the existing demo scripts and model loading code, then identify how to capture frames from a USB camera using OpenCV, convert them to the required input format (e.g., clips), and run inference with a pretrained SlowFast model. Start with the `tools/run net.py` script and the `slowfast/datasets/` modules.
Tech stack
pythonpytorch
Domain
computer visionmachine learningai
Issue type
Research
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Needs investigation
Prerequisites
PythonPyTorchGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60