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Updated unraid templates to add Changelog
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Jupyter_build/Jupyter-CuDNN_TensorFlow_OpenCV.xml

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@@ -7,9 +7,10 @@
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<MyIP/>
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<Shell>bash</Shell>
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<Privileged>false</Privileged>
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<Support>https://forums.unraid.net/topic/121930-jupyter-tensorflow_opencv-and-jupyter-cudnn_tensorflow_opencv-support-thread/</Support>
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<Support>https://forums.unraid.net/topic/121930-support-jupyter-tensorflow_opencv-and-jupyter-cudnn_tensorflow_opencv/</Support>
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<Project>https://github.com/datamachines/cuda_tensorflow_opencv</Project>
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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&#xD;
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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&#xD;
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&#xD;
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The default password to access Jupyter is dmc&#xD;
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&#xD;
@@ -22,19 +23,16 @@ A CPU equivalent container is also available and named Jupyter-TensorFlow_OpenCV
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&#xD;
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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.&#xD;
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&#xD;
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VERSION (match datamachines/cudnn_tensorflow_opencv releases date)&#xD;
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20220318 with support for CUDA 11.3.1, TensorFlow 2.8.0 and OpenCV 4.5.5</Overview>
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<Category>Productivity:</Category>
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<WebUI>http://[IP]:[PORT:8888]</WebUI>
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<TemplateURL/>
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<Icon>https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/207px-Jupyter_logo.svg.png</Icon>
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<ExtraParams>--gpus all</ExtraParams>
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<PostArgs/>
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<CPUset/>
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<DateInstalled>1648789415</DateInstalled>
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<DonateText/>
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<DonateLink/>
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<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&#xD;
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VERSION(s) (match datamachines/cudnn_tensorflow_opencv releases date)&#xD;
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- 20220318 with support for CUDA 11.3.1, TensorFlow 2.8.0 and OpenCV 4.5.5&#xD;
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&#xD;
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Changelog:&#xD;
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- 20220403: Updated unraid template&#xD;
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- 20220402: Container updated to fix issue preventing change of default password (same components)&#xD;
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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&#xD;
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&#xD;
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The default password to access Jupyter is dmc&#xD;
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&#xD;
@@ -43,12 +41,28 @@ Please note that the container images is large at over 16GB &#xD;
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To use it requires the Nvidia driver installation on your Unraid server for support of Docker. &#xD;
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This installation needs to support the version of CUDA installed to use with this container.&#xD;
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&#xD;
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A CPU equivalent container is also available and named Jupyter-tensorflow_opencv and is over 4GB&#xD;
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A CPU equivalent container is also available and named Jupyter-TensorFlow_OpenCV and is over 4GB&#xD;
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&#xD;
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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.&#xD;
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&#xD;
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VERSION (match datamachines/cudnn_tensorflow_opencv releases date)&#xD;
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20220318 with support for CUDA 11.3.1, TensorFlow 2.8.0 and OpenCV 4.5.5</Description>
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VERSION(s) (match datamachines/cudnn_tensorflow_opencv releases date)&#xD;
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- 20220318 with support for CUDA 11.3.1, TensorFlow 2.8.0 and OpenCV 4.5.5&#xD;
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&#xD;
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Changelog:&#xD;
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- 20220403: Updated unraid template&#xD;
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- 20220402: Container updated to fix issue preventing change of default password (same components)&#xD;
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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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</Description>
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<Category>Productivity:</Category>
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<WebUI>http://[IP]:[PORT:8888]</WebUI>
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<TemplateURL/>
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<Icon>https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/207px-Jupyter_logo.svg.png</Icon>
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<ExtraParams>--gpus all</ExtraParams>
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<PostArgs/>
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<CPUset/>
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<DateInstalled/>
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<DonateText/>
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<DonateLink/>
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<Networking>
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<Mode>bridge</Mode>
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<Publish>

Jupyter_build/Jupyter-TensorFlow_OpenCV.xml

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Original file line numberDiff line numberDiff line change
@@ -9,7 +9,8 @@
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<Privileged>false</Privileged>
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<Support>https://forums.unraid.net/topic/121930-support-jupyter-tensorflow_opencv-and-jupyter-cudnn_tensorflow_opencv/</Support>
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<Project>https://github.com/datamachines/cuda_tensorflow_opencv</Project>
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<Overview>Unraid compatible Jupyter Notebook (Python kernel) container with CPU-ready Tensorflow, OpenCV, Pandas, PyTorch -- based on datamachines/tensorflow_opencv&#xD;
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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&#xD;
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&#xD;
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The default password to access Jupyter is dmc&#xD;
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&#xD;
@@ -18,29 +19,42 @@ Please note that the container images is large at over 4GB and its GPU counterpa
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&#xD;
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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.&#xD;
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&#xD;
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VERSION (match datamachines/tensorflow_opencv releases date)&#xD;
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20220318 with support for TensorFlow 2.8.0 and OpenCV 4.5.5</Overview>
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VERSION(s) (match datamachines/tensorflow_opencv releases date)&#xD;
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- 20220318 with support for TensorFlow 2.8.0 and OpenCV 4.5.5
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&#xD;
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Changelog:&#xD;
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- 20220403: Updated unraid template&#xD;
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- 20220402: Container updated to fix issue preventing change of default password (same components)&#xD;
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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&#xD;
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&#xD;
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The default password to access Jupyter is dmc&#xD;
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&#xD;
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This is the CPU-bound container's version. The GPU equivalent container is named Jupyter-CuDNN_TensorFlow_OpenCV&#xD;
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Please note that the container images is large at over 4GB and its GPU counterpart runs over 16GB. &#xD;
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&#xD;
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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.&#xD;
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&#xD;
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VERSION(s) (match datamachines/tensorflow_opencv releases date)&#xD;
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- 20220318 with support for TensorFlow 2.8.0 and OpenCV 4.5.5
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&#xD;
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Changelog:&#xD;
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- 20220403: Updated unraid template&#xD;
45+
- 20220402: Container updated to fix issue preventing change of default password (same components)&#xD;
46+
- 20220331: Unraid initial release: latest is TensorFlow 2.8.0 and OpenCV 4.5.5 (match version: 20220318)
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</Description>
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<Category>Productivity:</Category>
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<WebUI>http://[IP]:[PORT:8888]</WebUI>
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<TemplateURL/>
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<Icon>https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/207px-Jupyter_logo.svg.png</Icon>
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<ExtraParams/>
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<PostArgs/>
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<CPUset/>
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<DateInstalled>1648788069</DateInstalled>
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<DateInstalled/>
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<DonateText/>
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<DonateLink/>
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<Description>Unraid compatible Jupyter Notebook (Python kernel) container with CPU-ready Tensorflow, OpenCV, Pandas, PyTorch -- based on datamachines/tensorflow_opencv&#xD;
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&#xD;
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The default password to access Jupyter is dmc&#xD;
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&#xD;
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This is the CPU-bound container's version. The GPU equivalent container is named Jupyter-cudnn_tensorflow_opencv&#xD;
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Please note that the container images is large at over 4GB and its GPU counterpart runs over 16GB. &#xD;
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&#xD;
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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.&#xD;
41-
&#xD;
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VERSION (match datamachines/tensorflow_opencv releases date)&#xD;
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20220318 with support for TensorFlow 2.8.0 and OpenCV 4.5.5</Description>
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<Networking>
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<Mode>bridge</Mode>
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<Publish>

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