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+**Step By Step Installation of FairMOT  on Linux Environment **
+<br/>
+
+Requirements 
+  - Nvidia GPU
+  
+1. Clone the FairMOT repo
+    - git clone https://github.com/microsoft/FairMOT.git
+2. Installing FFMpeg
+    - sudo apt install ffmpeg
+    - sudo apt-get -y install autoconf automake build-essential libass-dev libfreetype6-dev libgpac-dev \
+      libsdl1.2-dev libtheora-dev libtool libva-dev libvdpau-dev libvorbis-dev libx11-dev \
+      libxext-dev libxfixes-dev pkg-config texi2html zlib1g-dev
+3. Install torch and torchvision Libraries for linux enviroments
+    - pip install torch==1.4 torchvision==0.5
+4. Moving to our cloned repository
+    - cd FairMOT 
+    - pip install -r requirements.txt
+    - cd src/lib/models/networks/DCNv2
+    - sh make.sh
+5. Download Pretrained Model from google drive and save in FairMOT/src/lib/models
+6. Move to Base directory
+7. You can input a raw video and get the demo video by running src/demo.py and get the mp4 format of the demo video:
+    - !python demo.py mot --load_model lib/models/all_dla34.pth
+8. Results of this process can be found in 'FairMOT/results'  folder 
+   Working Colab can be found [here](https://colab.research.google.com/drive/1j-UobIDfZBm5aW1TPi2t55WYxVpySab4?usp=sharing) 
+
+
+