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Merge pull request #416 from christianll9/patch-1
Fix folder name 'avatarify' to 'avatarify-python'
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docs/README.md

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@@ -63,10 +63,10 @@ bash Miniconda3-latest-Linux-x86_64.sh
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2. Clone `avatarify` and install its dependencies (sudo privelege is required):
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```bash
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git clone https://github.com/alievk/avatarify-python.git
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cd avatarify
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cd avatarify-python
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bash scripts/install.sh
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```
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3. [Download network weights](#download-network-weights) and place `vox-adv-cpk.pth.tar` file in the `avatarify` directory (don't unpack it).
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3. [Download network weights](#download-network-weights) and place `vox-adv-cpk.pth.tar` file in the `avatarify-python` directory (don't unpack it).
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#### Mac
@@ -86,7 +86,7 @@ We will use [CamTwist](http://camtwiststudio.com) to create virtual camera for M
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2. [Download](https://github.com/alievk/avatarify-python/archive/master.zip) and unpack the repository or use `git`:
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```bash
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git clone https://github.com/alievk/avatarify-python.git
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cd avatarify
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cd avatarify-python
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bash scripts/install_mac.sh
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```
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3. Download and install [CamTwist](http://camtwiststudio.com) from [here](http://camtwiststudio.com/download). It's easy.
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4. Download and install Avatarify (please copy-paste these commands and don't change them):
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```bash
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git clone https://github.com/alievk/avatarify-python.git
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cd avatarify
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cd avatarify-python
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scripts\install_windows.bat
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```
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5. [Download network weights](#download-network-weights) and place `vox-adv-cpk.pth.tar` file in the `avatarify` directory (don't unpack it).
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5. [Download network weights](#download-network-weights) and place `vox-adv-cpk.pth.tar` file in the `avatarify-python` directory (don't unpack it).
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6. Run `run_windows.bat`. If installation was successful, two windows "cam" and "avatarify" will appear. Leave these windows open for the next installation steps. <!--If there are multiple cameras (including virtual ones) in the system, you may need to select the correct one. Open `scripts/settings_windows.bat` and edit `CAMID` variable. `CAMID` is an index number of camera like 0, 1, 2, ...-->
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7. Install [OBS Studio](https://obsproject.com/) for capturing Avatarify output.
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8. Install [VirtualCam plugin](https://obsproject.com/forum/resources/obs-virtualcam.539/). Choose `Install and register only 1 virtual camera`.
@@ -129,15 +129,15 @@ Docker images are only availabe on Linux.
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1. Install Docker following the [Documentation](https://docs.docker.com/engine/install/). Then run this [step](https://docs.docker.com/engine/install/linux-postinstall/#manage-docker-as-a-non-root-user) to make docker available for your user.
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2. For using the gpu (hardly recommended): Install nvidia drivers and [nvidia docker](https://github.com/NVIDIA/nvidia-docker#quickstart).
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3. Clone `avatarify` and install its dependencies (v4l2loopback kernel module):
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3. Clone `avatarify-python` and install its dependencies (v4l2loopback kernel module):
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```bash
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git clone https://github.com/alievk/avatarify-python.git
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cd avatarify
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cd avatarify-python
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bash scripts/install_docker.sh
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```
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4. Build the Dockerfile:
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```bash
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cd avatarify
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cd avatarify-python
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docker build -t avatarify .
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```
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## Setup avatars

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