facebookresearch/SlowFast

Demo programme on camera input

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#34 opened on 2019年11月18日

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enhancementgood first issue

説明

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.

コントリビューターガイド

技術スタック
pythonpytorch
領域
machine learningai
Issue 種別
feature
難度新しい貢献者にとっての実装難度です。1 は非常に小さな変更、5 は専門的な作業です。
3
推定時間経験ある貢献者が調査、実装、テスト、pull request 準備にかけるおおよその時間範囲です。
3-5 days
活動状況Issue が今どれだけ取り組みやすいかを示します。新しい、活発、古い、ブロック中、またはメンテナー入力待ちなどです。
stale
明確さ期待される変更、受け入れ条件、次の手順がどれだけ明確かを示します。
needs investigation
前提条件
PythonPyTorch basicsOpenCVSlowFast model understanding
初心者向け度初回貢献者にどれだけ取り組みやすいかを 1-100 で推定したスコアです。
20
調査方針
The issue asks whether it is possible to run SlowFast models on live USB camera input and requests guidance on implementation. To proceed, first explore the existing SlowFast repository for any camera or demo scripts. Then, consider using OpenCV to capture frames from the camera and feed them into the model's inference pipeline. Look at the provided inference examples (e.g., tools/run net.py) and adapt them for real time processing. The many comments likely contain suggestions from maintainers and community members; review those for specific module references and potential pitfalls.
Demo programme on camera input · facebookresearch/SlowFast#34 | Good First Issue