Update readme

DOWNLOAD_WEIGHTS.md

@@ -1,5 +1,8 @@
 ## Instructions to download pretrained neural-network weights.
 
+[Home](https://adipandas.github.io/multi-object-tracker/){: .btn .btn-green }
+[GitHub](https://github.com/adipandas/multi-object-tracker){: .btn .btn-blue}
+
 ##### YOLOv3
 ```
 cd ./examples/pretrained_models/yolo_weights

README.md

@@ -34,16 +34,6 @@ detector.YOLOv3
 
 Pip install for OpenCV (version 3.4.3 or later) is available [here](https://pypi.org/project/opencv-python/) and can be done with the following command:
 
-```
-pip install numpy matplotlib scipy
-pip install opencv-contrib-python
-```
-
-Installation of `ipyfilechooser` is recommended if you want to use the jupyter notebooks available in the ```examples``` folder.
-```
-pip install ipyfilechooser
-```
-
 ```
 git clone https://github.com/adipandas/multi-object-tracker
 cd multi-object-tracker

REFERENCES.md

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 # References and Credits
 
+[Home](https://adipandas.github.io/multi-object-tracker/){: .btn .btn-green }
+[GitHub](https://github.com/adipandas/multi-object-tracker){: .btn .btn-blue}
+
 This work is based on the following literature:
 
 1. Bochinski, E., Eiselein, V., & Sikora, T. (2017, August). High-speed tracking-by-detection without using image information. In 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (pp. 1-6). IEEE. [[pdf](http://elvera.nue.tu-berlin.de/files/1517Bochinski2017.pdf)]
@@ -8,6 +11,3 @@ This work is based on the following literature:
 4. Kalman Filter. [[wiki](https://en.wikipedia.org/wiki/Kalman_filter)]
 5. TensorFlow Object Detection API [[github](https://github.com/tensorflow/models/tree/master/research/object_detection)]
 6. Caffe [[website](https://caffe.berkeleyvision.org/)][[github](https://github.com/BVLC/caffe)]
-
-
-#### Link to `multi-object-tracker` [[webpage](https://adipandas.github.io/multi-object-tracker/)][[GitHub Repo](https://github.com/adipandas/multi-object-tracker)]

examples/readme.md

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 # multi-object-tracker examples
 
+[Home](https://adipandas.github.io/multi-object-tracker/){: .btn .btn-green }
+[GitHub](https://github.com/adipandas/multi-object-tracker){: .btn .btn-blue}
+
 This folder contains various examples.
 
 1. [Example jupyter-notebooks](example_notebooks)