Training l3 model with new audio video dataset
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 89
- Forks
- 19
- PR merge metrics
- No merged PRs in 30d
Description
Hello everyone,
I'm trying to training L3 Net with a new dataset. I have a folder with 200K videos. the train.py script in the l3embeddig folder has no help messages about the format of data in th trai_data_dir/valid_data_dir.
What I constated that the data generator in train.py reads f5 files.
Can anyon help hot to fed my videos data to the train script.
Thanks.
@auroracramer
Contributor guide
No contributing guide indexed for this repository
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 with train.py in the l3embeddig folder, especially the data generator and the train_data_dir/valid_data_dir handling that reads f5 files. Determine the expected dataset format and document it or add help text so a user with videos can tell how to prepare and provide the data.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- audio-video-rtc, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100