CSC 51073 EP Computer Vision Final Project
Model: TimeSformer-Base (Kinetics-400 pretrained) Frame sampling: even Data balancing: maxfull Unfrozen last layers: 6 Task: workout action classification (plank, push-up, squat, russian-twist)
Source du modèle
- Type
- Other
- Taille du fichier
- 463 MB
- Version
- vTimesformer max full even 6
- Mis à jour
- 24 oct. 2026
- Source
- Hugging Face
Description de la source
TimeSformer fine-tuned model
Checkpoint: timesformer_max_full_even_6.pt
Training configuration
- Model: TimeSformer-Base (Kinetics-400 pretrained)
- Frame sampling: even
- Data balancing: max_full
- Unfrozen last layers: 6
- Task: workout action classification (plank, push-up, squat, russian-twist)
Notes
This repository provides a raw PyTorch checkpoint.
To use it, load the checkpoint into a TimesformerForVideoClassification
model with the same configuration used during training.
Sources
1 source
Sources
1 sourceVérifié 24 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactExtraits de sources
2 extraits
Extraits de sources
2 extraits--- license: apache-2.0 tags: - video-classification - timesformer library_name: transformers --- # TimeSformer fine-tuned model **Checkpoint:** `timesformer_max_full_even_6.pt` ## Training configuration - Model: TimeSformer-Base (Kinetics-400 pretrained) - Frame sampling: even - Data balancing: max_full - Unfrozen last layers: 6 - Task: workout action classification (plank, push-up, squat, russian-twist) ## Notes This repository provides a raw PyTorch checkpoint. To use it, load the checkpoint into a `TimesformerForVideoClassification` model with the same configuration used during training.
Source context: 0 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo MTomita/CSC_51073_EP-Computer-Vision-Final-Project
