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* Support different resolutions in load_image() * Added MobilenetV4 model. * Add MobileNetv4 to README
733 B
733 B
candle-mobilenetv4
MobileNetV4 - Universal Models for the Mobile Ecosystem This candle implementation uses pre-trained MobileNetV4 models from timm for inference. The classification head has been trained on the ImageNet dataset and returns the probabilities for the top-5 classes.
Running an example
$ cargo run --example mobilenetv4 --release -- --image candle-examples/examples/yolo-v8/assets/bike.jpg --which medium
loaded image Tensor[dims 3, 256, 256; f32]
model built
unicycle, monocycle : 20.18%
mountain bike, all-terrain bike, off-roader: 19.77%
bicycle-built-for-two, tandem bicycle, tandem: 15.91%
crash helmet : 1.15%
tricycle, trike, velocipede: 0.67%