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GDP Project 4
AVVR-Pipeline-GDP4
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102d157b
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102d157b
authored
7 months ago
by
mhby1g21
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updated edgenet and readme
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@@ -67,6 +67,7 @@ c. For edgenet360 (uses WSL):
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@@ -67,6 +67,7 @@ c. For edgenet360 (uses WSL):
-
Install WSL and Anaconda following these instructions: https://info.stat.cmu.edu/index.php?title=Windows_Subsystem_for_Linux_(WSL)_and_Python
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Install WSL and Anaconda following these instructions: https://info.stat.cmu.edu/index.php?title=Windows_Subsystem_for_Linux_(WSL)_and_Python
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Make sure wsl thats called in cmd is the one with anaconda installed
-
Make sure wsl thats called in cmd is the one with anaconda installed
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Then create the tf2 environment:
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Then create the tf2 environment:
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MAKE SURE THE COMMAND BELOW ARE RUN IN WSL, from wsl, go up directory then go to /mnt/ to wherever the repo was in to access .yml
```
cmd
```
cmd
cd edgenet360
cd edgenet360
conda env create -f tf2_new_env.yml
conda env create -f tf2_new_env.yml
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@@ -83,7 +84,7 @@ docker run -it --runtime=nvidia -e NVIDIA_VISIBLE_DEVICES=0 360monodepth sh -c "
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@@ -83,7 +84,7 @@ docker run -it --runtime=nvidia -e NVIDIA_VISIBLE_DEVICES=0 360monodepth sh -c "
```
```
4.
Configure paths:
4.
Configure paths:
Edit scripts/config.ini to set binary directories for Anaconda in Windows and WSL.
Edit scripts/config.ini to set binary directories for Anaconda in Windows and WSL
, and copy paste the new docker image id
.
5.
Run the main ML pipeline:
5.
Run the main ML pipeline:
```
cmd
```
cmd
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