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Siftformer 1.5

| Index | Class | | 0 | 정상 (normal) | | 1 | 졸음 (drowsy) | | 2 | 주의분산 (distracted) | | 3 | 폭행 (violence) |

TipoOtherVersãoPytorch modelCnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
18,7 MB
Versão
vPytorch model
Atualizado
11 de out. de 2026
Fonte
Hugging Face

Descrição da fonte

SiftFormer 1.5

Classes

IndexClass
0정상 (normal)
1졸음 (drowsy)
2주의분산 (distracted)
3폭행 (violence)

Input

  • Shape: [B, T, C, H, W]
  • T = 30 frames
  • H = W = 224
  • C = 3 (RGB)
  • ImageNet normalization (mean [0.485, 0.456, 0.406], std [0.229, 0.224, 0.225])
  • dtype: float32 or bfloat16

Fontes

1 fonte
Hugging FacePrimárioVersão 8f49ab6736b6ce44defe4726daacb4fc7150eb6b
huggingface.co/koreashin/siftformer-1.5/tree/8f49ab6736b6ce44defe4726daacb4fc7150eb6b

Verificado 11 de out.

Artefatos de modelo

1 artefato

pytorch_model.bin

bin · 18,7 MB · SHA-256 b6e0769b9167…2288 · Hugging Face

Download file

Trechos de fonte

2 trechos

--- license: apache-2.0 tags: - video-classification - driver-behavior pipeline_tag: video-classification --- # SiftFormer 1.5 ## Classes | Index | Class | |-------|-------| | 0 | 정상 (normal) | | 1 | 졸음 (drowsy) | | 2 | 주의분산 (distracted) | | 3 | 폭행 (violence) | ## Input - Shape: `[B, T, C, H, W]` - `T = 30` frames - `H = W = 224` - `C = 3` (RGB) - ImageNet normalization (mean `[0.485, 0.456, 0.406]`, std `[0.229, 0.224, 0.225]`) - dtype: `float32` or `bfloat16`

Source context: 0 downloads · 0 likes · Pipeline video-classification · Repo koreashin/siftformer-1.5