Update README.md

README.md

@@ -33,31 +33,31 @@ You can use this model to detect objects in an image of choice. Follow the follo
 
 ```bash
 # install git lfs
-!git lfs install
+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
+curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash
 
 # change directory to base
-%cd ..
+cd ..
 
 # install git-lfs
-!sudo apt-get install git-lfs
+sudo apt-get install git-lfs
 
 # for message "Git LFS initialized"
-!git lfs install
+git lfs install
 
 # change directory to yolo_v4_tflite
-%cd ./yolo_v4_tflite
+cd ./yolo_v4_tflite
 
 # clone this repo into your notebook
-!git clone https://huggingface.co/SamMorgan/yolo_v4_tflite
+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
+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>
+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>
 
 
 ```