You can deploy this model and start earning money today!

humantics/
cxr-dino-v1

Name: cxr-dino-v1
Availability: InStock

stanfordmimi/RoentGen-v2-synthetic-dataset

facebook/dinov2-small

finetune

apache-2.0

Views

No views yet

Generate Image Embeddings with CXR-DINO-V1

1. Installation

bash

pip install torch torchvision pillow
pip install lightly-train

2. Embed a Folder of Images (CLI)

bash

lightly-train embed \
  data="images/" \
  checkpoint="/cxr-dino-model/model.pt" \
  out="embeddings.pth" \
  format="torch"

data → folder containing images
checkpoint → your cxr-dino model
out → output file with embeddings

3. Minimal Python Example

python

import lightly_train

lightly_train.embed(
    data="images/",
    checkpoint="cxr-dino-model/model.pt",
    out="embeddings.pth",
    format="torch"
)

print("Saved embeddings to embeddings.pth")

4. Load Embeddings

python

import torch

data = torch.load("embeddings.pth")
embeddings = data["embeddings"]
paths = data["image_paths"]

print(embeddings.shape)
print(paths[:5])

humantics/cxr-dino-v1

Generate Image Embeddings with CXR-DINO-V1

1. Installation

2. Embed a Folder of Images (CLI)

3. Minimal Python Example

4. Load Embeddings

humantics/
cxr-dino-v1