Zum Inhalt springen
ModelAufgelistetExtern
Herunterladen

Siftformer 1.5

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

ArtOtherVersionPytorch modelCBewertung

Modellquelle

Art
Other
Dateigröße
18,7 MB
Version
vPytorch model
Aktualisiert
11. Okt. 2026
Quelle
Hugging Face

Quellenbeschreibung

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

Quellen

1 Quelle
Hugging FacePrimärVersion 8f49ab6736b6ce44defe4726daacb4fc7150eb6b
huggingface.co/koreashin/siftformer-1.5/tree/8f49ab6736b6ce44defe4726daacb4fc7150eb6b

Verifiziert 11. Okt.

Modellartefakte

1 Artefakt

pytorch_model.bin

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

Download file

Quellenauszüge

2 Auszüge

--- 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