Their data is typically 2D, including photographs, videos, and satellite imagery. TensorBoard is one of the leading tools used by computer vision researchers to analyze the performance of their deep learning systems. This open source, intuitive plugin for TensorBoard allows medical image deep learning researchers to analyze their deep learning workflows and 3D data all in one tool. TensorBoard supports passing an s3 path via s3://path/to/dir, which is also supported in this plugin.We are excited to announce the development of TensorBoardPlugin3D. It is assumed here that you have some experience with aws s3 In addition, for the TensorBoard instance we created, it can be managed in the Kernel management panel of Jupyter, providing functions such as jumping to the corresponding instance and deleting.
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