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<Overview>Unraid compatible Jupyter Notebook (Python kernel) container with GPU-optimized Tensorflow and OpenCV, and installations of Pandas, PyTorch -- based on datamachines/cudnn_tensorflow_opencv
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<Overview>
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Unraid compatible Jupyter Notebook (Python kernel) container with GPU-optimized Tensorflow and OpenCV, and installations of Pandas, PyTorch -- based on datamachines/cudnn_tensorflow_opencv
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The default password to access Jupyter is dmc
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@@ -22,19 +23,16 @@ A CPU equivalent container is also available and named Jupyter-TensorFlow_OpenCV
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The system is ran as the jupyter user (has sudo privileges) and /dmc is where you can place your weights and other files to support your development.
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VERSION (match datamachines/cudnn_tensorflow_opencv releases date)
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20220318 with support for CUDA 11.3.1, TensorFlow 2.8.0 and OpenCV 4.5.5</Overview>
<Description>Unraid compatible Jupyter Notebook (Python kernel) container with GPU-optimized Tensorflow and OpenCV, and installations of Pandas, PyTorch -- based on datamachines/cudnn_tensorflow_opencv
- 20220318 with support for CUDA 11.3.1, TensorFlow 2.8.0 and OpenCV 4.5.5
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Changelog:
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- 20220403: Updated unraid template
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- 20220402: Container updated to fix issue preventing change of default password (same components)
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- 20220331: Unraid initial release: latest is CUDA 11.3.1, TensorFlow 2.8.0 and OpenCV 4.5.5 (match version: 20220318)
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</Overview>
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<Description>
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Unraid compatible Jupyter Notebook (Python kernel) container with GPU-optimized Tensorflow and OpenCV, and installations of Pandas, PyTorch -- based on datamachines/cudnn_tensorflow_opencv
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The default password to access Jupyter is dmc
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@@ -43,12 +41,28 @@ Please note that the container images is large at over 16GB 
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To use it requires the Nvidia driver installation on your Unraid server for support of Docker. 
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This installation needs to support the version of CUDA installed to use with this container.
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A CPU equivalent container is also available and named Jupyter-tensorflow_opencv and is over 4GB
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A CPU equivalent container is also available and named Jupyter-TensorFlow_OpenCV and is over 4GB
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The system is ran as the jupyter user (has sudo privileges) and /dmc is where you can place your weights and other files to support your development.
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VERSION (match datamachines/cudnn_tensorflow_opencv releases date)
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20220318 with support for CUDA 11.3.1, TensorFlow 2.8.0 and OpenCV 4.5.5</Description>
<Overview>Unraid compatible Jupyter Notebook (Python kernel) container with CPU-ready Tensorflow, OpenCV, Pandas, PyTorch -- based on datamachines/tensorflow_opencv
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<Overview>
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Unraid compatible Jupyter Notebook (Python kernel) container with CPU-ready Tensorflow, OpenCV, Pandas, PyTorch -- based on datamachines/tensorflow_opencv
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The default password to access Jupyter is dmc
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@@ -18,29 +19,42 @@ Please note that the container images is large at over 4GB and its GPU counterpa
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The system is ran as the jupyter user (has sudo privileges) and /dmc is where you can place your weights and other files to support your development.
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VERSION (match datamachines/tensorflow_opencv releases date)
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20220318 with support for TensorFlow 2.8.0 and OpenCV 4.5.5</Overview>
- 20220318 with support for TensorFlow 2.8.0 and OpenCV 4.5.5
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Changelog:
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- 20220403: Updated unraid template
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- 20220402: Container updated to fix issue preventing change of default password (same components)
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+
- 20220331: Unraid initial release: latest is TensorFlow 2.8.0 and OpenCV 4.5.5 (match version: 20220318)
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</Overview>
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<Description>
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Unraid compatible Jupyter Notebook (Python kernel) container with CPU-ready Tensorflow, OpenCV, Pandas, PyTorch -- based on datamachines/tensorflow_opencv
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The default password to access Jupyter is dmc
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This is the CPU-bound container's version. The GPU equivalent container is named Jupyter-CuDNN_TensorFlow_OpenCV
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Please note that the container images is large at over 4GB and its GPU counterpart runs over 16GB. 
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The system is ran as the jupyter user (has sudo privileges) and /dmc is where you can place your weights and other files to support your development.
<Description>Unraid compatible Jupyter Notebook (Python kernel) container with CPU-ready Tensorflow, OpenCV, Pandas, PyTorch -- based on datamachines/tensorflow_opencv
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The default password to access Jupyter is dmc
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This is the CPU-bound container's version. The GPU equivalent container is named Jupyter-cudnn_tensorflow_opencv
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Please note that the container images is large at over 4GB and its GPU counterpart runs over 16GB. 
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The system is ran as the jupyter user (has sudo privileges) and /dmc is where you can place your weights and other files to support your development.
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VERSION (match datamachines/tensorflow_opencv releases date)
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20220318 with support for TensorFlow 2.8.0 and OpenCV 4.5.5</Description>
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