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*Split commands of preparing environment in README file > *added -y for conda env creation for less interactions for the user
Browse files
Makefile
CHANGED
@@ -19,7 +19,7 @@ endif
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env:
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ifeq (True,$(HAS_CONDA))
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@echo ">>> Detected conda, creating conda environment."
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-
conda create --name $(PROJECT_NAME) python=3.7.6
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@echo ">>> New conda env created. Activate with:\nconda activate $(PROJECT_NAME)"
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else
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@echo ">>> No conda detected, creating venv environment."
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@@ -34,4 +34,4 @@ load_requirements:
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save_requirements:
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@echo ">>> Saving requirements."
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pip list --format=freeze > requirements.txt
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env:
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ifeq (True,$(HAS_CONDA))
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@echo ">>> Detected conda, creating conda environment."
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+
conda create -y --name $(PROJECT_NAME) python=3.7.6
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@echo ">>> New conda env created. Activate with:\nconda activate $(PROJECT_NAME)"
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else
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@echo ">>> No conda detected, creating venv environment."
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save_requirements:
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@echo ">>> Saving requirements."
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pip list --format=freeze > requirements.txt
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README.md
CHANGED
@@ -29,15 +29,24 @@ If you'd like to take part, please follow the guide.
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```bash
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$ make env
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$ source activate savta_depth
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-
$ make load_requirements
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```
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-
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**Note**: If you don't have a GPU you will need to install pytorch separately and then run make requirements. You can install pytorch for computers without a gpu with the following command:
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```bash
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$ conda install pytorch torchvision cpuonly -c pytorch
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```
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* Pull the dvc files to your workspace by typing:
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```bash
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```bash
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$ make env
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$ source activate savta_depth
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```
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Now when we have an environment, let's install all of the required libraries.
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**Note**: If you don't have a GPU you will need to install pytorch separately and then run make requirements. You can install pytorch for computers without a gpu with the following command:
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```bash
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$ conda install pytorch torchvision cpuonly -c pytorch
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```
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To install the required libraries run the following command:
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```bash
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$ make load_requirements
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```
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* Pull the dvc files to your workspace by typing:
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```bash
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