Model card for MHanzl/DF23M-mobilenetv2_100.ra_in1k_224
Model Details
- Model Type: Danish Fungi Classification
- Model Stats:
- Params (M): ??
- Image size: [224, 224] x [224, 224]
- Papers:
- Original: ??
- Train Dataset: DF23M --> https://sites.google.com/view/danish-fungi-dataset
Model Usage
Image Embeddings
import timm
import torch
import torchvision.transforms as T
from PIL import Image
from urllib.request import urlopen
model = timm.create_model("hf-hub:MHanzl/DF23M-mobilenetv2_100.ra_in1k_224", pretrained=True)
model = model.eval()
train_transforms = T.Compose([T.Resize([224, 224]),
T.ToTensor(),
T.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])])
img = Image.open(PATH_TO_YOUR_IMAGE)
output = model(train_transforms(img).unsqueeze(0)) # output is (batch_size, num_features) shaped tensor
# output is a (1, num_features) shaped tensor
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