Update README.md

README.md

@@ -24,6 +24,43 @@ YOLO, for "You Only Look Once", is an object detection system in real-time, intr
 This YOLOv4 library, inspired by previous YOLOv3 implementations here:
   * [Yolov3 tensorflow](https://github.com/YunYang1994/tensorflow-yolov3)
   * [Yolov3 tf2](https://github.com/zzh8829/yolov3-tf2)uses Tensorflow 2.0 and is available on this [Github](https://github.com/hunglc007/tensorflow-yolov4-tflite). 
+  
+  
+ ### Limitations and biases
+
+### How to use YOLOv4tflite
+You can use this model to detect objects in an image of choice. Follow the following scripts to implement on your own!
+
+```bash
+# install git lfs
+!git lfs install
+
+# if presented with the error "git: 'lfs' is not a git command. See 'git --help'", try running these linux commands:
+!curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash
+
+# change directory to base
+%cd ..
+
+# install git-lfs
+!sudo apt-get install git-lfs
+
+# for message "Git LFS initialized"
+!git lfs install
+
+# change directory to yolo_v4_tflite
+%cd ./yolo_v4_tflite
+
+# clone this repo into your notebook
+!git clone https://huggingface.co/SamMorgan/yolo_v4_tflite
+
+# Run demo tensor flow for an example of how this model works
+!python detect.py --weights ./checkpoints/yolov4-416 --size 416 --model yolov4 --image ./data/kite.jpg --output ./test.jpg
+
+# Try with your own image
+!python detect.py --weights ./checkpoints/yolov4-416 --size 416 --model yolov4 --image <insert path to image of choice> --output <insert path to output location of choice>
+
+
+```
 
 ### Evaluate on COCO 2017 Dataset
 ```bash