Support for Numpy labels with VideoReader
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enhancement
external contribution welcome
- Dominant language
- C++
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Description
It might be that I missed some instruction however I don't currently see a way to train with videos using the VideoReader but supply the labels as a npy array. Is this functionality supported at all? The VideoReader seems perfect for training with video data but if it only support classification labels that would severely limit the use-fullness of it.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by checking the VideoReader documentation and examples for label inputs, then trace how classification labels are currently accepted. Determine whether NumPy .npy arrays are supported; if not, define the required behavior and add coverage demonstrating that video training can use those labels.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100