Cadene / Cadene/pretrained-models.pytorch
ResNeXt-101-32x8d
- Dominant language
- Python
- Stars
- 9.1k
- Forks
- 1.8k
- PR merge metrics
- No merged PRs in 30d
Description
Is it possible to incorporate the pretrained ResNeXt-101-32x8d model from
https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl
The source is from https://github.com/facebookresearch/Detectron/blob/master/configs/12_2017_baselines/e2e_faster_rcnn_X-101-32x8d-FPN_2x.yaml.
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names no repository files or tests. Start by reading the linked Detectron configuration and checking how this project registers pretrained models and handles external checkpoints. Done means the ResNeXt-101-32x8d model and the linked pretrained weights are incorporated; the issue gives no test or acceptance details.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100