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msdct-unet
BrianChen54923/msdct-unet
msdct-unet is a image segmentation model from BrianChen54923. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as cc-by-nc-4.0.
Multi-Scale Discrete Cosine Transform UNet for local motion blur detection.
Access
Public
Updated Jul 23, 2026
Repo size
354 MB
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0
Public
Repo makeup
Click a slice to open those files.
.pth118 MB · 100%
At a glance
- Task
- Image Segmentation
- Library
- pytorch
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Jul 23, 2026
- Updated
- Jul 23, 2026
- SHA
- a23ab14e
Model card
From the Hugging Face model README
MSDCT-UNet
Multi-Scale Discrete Cosine Transform UNet for local motion blur detection.
Checkpoint
bocchi.pth— trained on the BOCCHI dataset.
Usage
import torch
from huggingface_hub import hf_hub_download
ckpt_path = hf_hub_download(
repo_id="BrianChen54923/msdct-unet",
filename="bocchi.pth",
)
state_dict = torch.load(ckpt_path, map_location="cpu")
# Load into your MSDCT-UNet model definition
# model.load_state_dict(state_dict)
Input: RGB image at 1080 × 720. Output: single-channel blur probability mask (0 = sharp, 1 = blur).
License
CC BY-NC 4.0 — research use only.
- Task
- Image Segmentation
- Library
- pytorch
- License
- cc-by-nc-4.0
- Created
- Jul 23, 2026
- Updated
- Jul 23, 2026