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camBIR is the CAMERA based image retrieval, an efficient similarity search software with a PyQt-based interface that can classify several different kinds of imagery, i.e., image across domains.
Project Description
Project Description
camBIR is the CAMERA based image retrieval, a software that takes several different kinds of imagery, such as 2 dimensional images, both scientific as well as non scientific. camBIR is specially designed for training different kinds of Deep Convolutional Neural Network, including new Deep Learning architectures, such as ResNet, Inception-ResNet, NasNet, DenseNet, among others. It can be used to automate the classification, sort and rank of X-ray imagery such as microCT, GISAXS, GIWAXS, SAXS and WAXS.
camBIR is the CAMERA based image retrieval, a software that takes several different kinds of imagery, such as 2 dimensional images, both scientific as well as non scientific. camBIR is specially designed for training different kinds of Deep Convolutional Neural Network, including new Deep Learning architectures, such as ResNet, Inception-ResNet, NasNet, DenseNet, among others. It can be used to automate the classification, sort and rank of X-ray imagery such as microCT, GISAXS, GIWAXS, SAXS and WAXS.
Licensing requests and other questions?
Licensing requests and other questions?
Contact the developers for more information:
Daniela Ushizima <DUshizima@lbl.gov>,
Flavio Araujo <flavio@lbl.gov>,
Romuere Rodrigues Veloso e Silva <romuere@lbl.gov>
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