docs: consolidate setup Instructions into a single page (#144)

docs/meta/install_conda.md

@@ -1,4 +1,18 @@
+# Setup Environment
+
+## Using the YAML File
+
+If you want to quickly set up the `conda` environment with all the required dependencies, use the `conda_env.yml` file. Run the following command:
+
+```bash
+# it will create a new conda environment called 'video_features' on your machine
+conda env create -f conda_env.yml
+```
+
+## From Scratch
+
 Just steps to install conda and create a new environment from scratch.
+
 ```bash
 conda create -n video_features
 conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia

docs/models/clip.md

@@ -13,19 +13,11 @@ We additionally output timesteps in ms for each feature and fps of the video.
 
 ---
 
-## Set up the Environment for CLIP
-Setup `conda` environment. Requirements are in file `conda_env.yml`
-```bash
-# it will create a new conda environment called 'video_features' on your machine
-conda env create -f conda_env.yml
-```
-
----
-
 ## Quick Start
 
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1Zd7r8uKGLGSxlil4PPnXk_4I3KOsjPpO?usp=sharing)
 
+Ensure that the environment is properly set up before proceeding. See [Setup Environment](../meta/install_conda.md) for detailed instructions.
 
 Activate the environment
 ```bash
@@ -65,6 +57,9 @@ python main.py \
 ---
 
 ## Examples
+
+Make sure the environment is set up correctly. For instructions, refer to [Setup Environment](../meta/install_conda.md).
+
 Start by activating the environment
 ```bash
 conda activate video_features

docs/models/i3d.md

@@ -43,19 +43,12 @@ You may check if the predicted distribution satisfies your requirements for an a
 
 ---
 
-## Set up the Environment for I3D
-Check if you have a correct conda environment installed
-```bash
-# it will create a new conda environment called 'video_features' on your machine
-conda env create -f conda_env.yml
-```
-
----
-
 ## Quick Start
 
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1LKoytZmNxtC-EuCp7pHDM6sFvK1XdwlW?usp=sharing)
 
+Ensure that the environment is properly set up before proceeding. See [Setup Environment](../meta/install_conda.md) for detailed instructions.
+
 Activate the environment
 ```bash
 conda activate video_features
@@ -73,6 +66,9 @@ python main.py \
 ---
 
 ## Examples
+
+Make sure the environment is set up correctly. For instructions, refer to [Setup Environment](../meta/install_conda.md).
+
 Activate the environment
 ```bash
 conda activate video_features

docs/models/r21d.md

@@ -29,22 +29,14 @@ which spans 0.64 seconds of the video recorded at 25 fps.
 In the default case, the features will be of size `Tv x 512` where `Tv = duration / 0.64`.
 Specify, `model_name`, `step_size` and `stack_size` to change the default behavior.
 
-
----
-
-## Set up the Environment for R(2+1)D
-Setup `conda` environment. Requirements are in file `conda_env.yml`
-```bash
-# it will create a new conda environment called 'video_features' on your machine
-conda env create -f conda_env.yml
-```
-
 ---
 
 ## Quick Start
 
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1csJgkVQ3E2qOyVlcOM-ACHGgPBBKwE2Y?usp=sharing)
 
+Ensure that the environment is properly set up before proceeding. See [Setup Environment](../meta/install_conda.md) for detailed instructions.
+
 Activate the environment
 ```bash
 conda activate video_features
@@ -81,6 +73,9 @@ python main.py \
 ---
 
 ## Example
+
+Make sure the environment is set up correctly. For instructions, refer to [Setup Environment](../meta/install_conda.md).
+
 Start by activating the environment
 ```bash
 conda activate video_features

docs/models/raft.md

@@ -16,19 +16,12 @@ The optical flow frames have the same size as the video input or as specified by
 
 ---
 
-## Set up the Environment for RAFT
-Setup `conda` environment. Requirements for RAFT are similar to the torchvision zoo, which uses `conda_env.yml`
-```bash
-# it will create a new conda environment called 'video_features' on your machine
-conda env create -f conda_env.yml
-```
-
----
-
 ## Quick Start
 
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/18I95Rn1B3a2ISfD9b-o4o93m3XuHbcIY?usp=sharing)
 
+Ensure that the environment is properly set up before proceeding. See [Setup Environment](../meta/install_conda.md) for detailed instructions.
+
 Activate the environment
 ```bash
 conda activate video_features
@@ -69,6 +62,8 @@ To use `show_pred=true`, a screen must be attached to the machine or X11 forward
 
 ## Examples
 
+Make sure the environment is set up correctly. For instructions, refer to [Setup Environment](../meta/install_conda.md).
+
 Start by activating the environment
 ```bash
 conda activate video_features

docs/models/resnet.md

@@ -13,19 +13,12 @@ We additionally output timesteps in ms for each feature and fps of the video. We
 
 ---
 
-## Set up the Environment for ResNet
-Setup `conda` environment. Requirements are in file `conda_env.yml`
-```bash
-# it will create a new conda environment called 'video_features' on your machine
-conda env create -f conda_env.yml
-```
-
----
-
 ## Quick Start
 
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/17VLdf4abQT2eoMjc6ziJ9UaRaOklTlP0?usp=sharing)
 
+Ensure that the environment is properly set up before proceeding. See [Setup Environment](../meta/install_conda.md) for detailed instructions.
+
 Activate the environment
 ```bash
 conda activate video_features
@@ -63,6 +56,9 @@ python main.py \
 ---
 
 ## Examples
+
+Make sure the environment is set up correctly. For instructions, refer to [Setup Environment](../meta/install_conda.md).
+
 Start by activating the environment
 ```bash
 conda activate video_features

docs/models/s3d.md

@@ -26,22 +26,14 @@ What is extracted exactly?
 The inputs to the classification head (see `S3D.fc` and `S3D.forward`) that were average-pooled
 across the time dimension.
 
-
----
-
-## Set up the Environment for S3D
-Setup `conda` environment. Requirements are in file `conda_env.yml`
-```bash
-# it will create a new conda environment called 'video_features' on your machine
-conda env create -f conda_env.yml
-```
-
 ---
 
 ## Quick Start
 
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1HUlYcOJf_dArOcAaR9jaQHuM5CAZiNZc?usp=sharing)
 
+Ensure that the environment is properly set up before proceeding. See [Setup Environment](../meta/install_conda.md) for detailed instructions.
+
 Activate the environment
 ```bash
 conda activate video_features

docs/models/vggish.md

@@ -12,19 +12,12 @@ The extraction of VGGish features is implemeted as a wrapper of the TensorFlow i
 
 ---
 
-## Set up the Environment for VGGish
-Setup `conda` environment. Requirements are in file `conda_env.yml`
-```bash
-# it will create a new conda environment called 'video_features' on your machine
-conda env create -f conda_env.yml
-```
-
----
-
 ## Quick Start
 
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1r_8OnmwXKwmH0n4RxBfuICVBgpbJt_Fs?usp=sharing)
 
+Ensure that the environment is properly set up before proceeding. See [Setup Environment](../meta/install_conda.md) for detailed instructions.
+
 Activate the environment
 ```bash
 conda activate video_features
@@ -56,6 +49,14 @@ python main.py \
 
 ## Example
 
+Make sure the environment is set up correctly. For instructions, refer to [Setup Environment](../meta/install_conda.md).
+
+Activate the environment
+
+```bash
+conda activate video_features
+```
+
 The video paths can be specified as a `.txt` file with paths.
 ```bash
 python main.py \