Set of models for classification of 3D volumes.
Project description
3D variants of popular CNN models for classification like ResNets, DenseNets, VGG, etc. It also contains weights obtained by converting ImageNet weights from the same 2D models. Models work with keras and tensorflow.keras.More details: https://github.com/ZFTurbo/classification_models_3D
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for classification_models_3D-1.0.2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7a3268aa15d5a8b0fc3480fc512bf58febb3643fbe1724803865082159eeff2f |
|
MD5 | 4f2b269fc30727fc47cf6bffae7ba6f4 |
|
BLAKE2b-256 | 14fdea37c820a21d169bbfe4b34113a9df28c6d04454edf53044cd941151180d |
Close
Hashes for classification_models_3D-1.0.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 68ad9c2d0e69f246d911b8a5cc2b6f5dfbc47c793e7c2d597a6c4d657aceeb9f |
|
MD5 | 0ca2035dfc99588e851913994b0e65c3 |
|
BLAKE2b-256 | 45ebb4008237d15a9ba61544d459efae2ca5eb41adf949442f46229386e8fbec |