ml5js / ml5js/ml5-data-and-models-server

TODO list - model downloaders

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Dominant language
JavaScript
Stars
31
Forks
10
PR merge metrics
No merged PRs in 30d

Description

Work in Progress

Done
  • SketchRNN ✅
  • bodyPix ✅
  • Sentiment ✅
    • moview reviews ✅
  • UNET: ✅
    • unet-128 ✅
  • face-api: ✅
    • Mobilenetv1Model ✅
    • FaceLandmarkModel ✅
    • FaceLandmark68TinyNet ✅
    • FaceRecognitionModel ✅
    • FaceExpressionModel ✅
  • CVAE: (uses local path to model)
    • quick_draw
    • DCGAN: (uses local path to model)
      • geo128
      • face
      • resnet128
  • SoundClassification:✅
    • 18w ✅
  • mobilenet 🚨- needs review on structuring dir path appropriately
    • imagenet 🚨- needs review on structuring dir path appropriately
    • pix2pix:(uses local path to model)
      • pikachu
  • Styletransfer: (uses local path to model)
    • udnie
    • wave
    • mathura
  • YOLO ✅
  • posenet: ✅
    • posenet ✅
Doing
  • Pretrained Models:

    • DoodleNet
  • Data:

    • ????
    • ????
    • ????

Contributor guide

No contributing guide indexed for this repository

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

Review the repository's existing approach for downloading and serving models, then compare it with the completed and pending entries in this TODO list. Clarify the scope for DoodleNet and the unspecified data items before implementing anything; the work is done when the agreed model and data downloaders are supported and verified.

Written by the indexing model from the issue text.

Assessment

Tech stack
javascript
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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