Windowless

[harigovind1998]

Changes

1. No longer displays a display window
2. Changed the files default locations, so if you dont set the flags it should still work
3. Connects to the locomotion websocket

Additional Required packages

1. websocket-client
   pip3 install websocket-client
2. cv2

How to test

1. python3.7 yolo_opencv.py
   Dont set flags if you want to use default flags
2. python3.7 yolo_opencv.py -c (path to .cfg file) -w (path to .backup or .weights file) -cl (path to .names file)

[tahaemara]

Great work, but I have some notes.
This repo is supporting tutorials I did before and I want to keep it simple as I can. Using WebSockets is a great thing for its applications but I think that using windows may be easy to be testable for everyone clones this repo.

Another thing, I saw that you deleted the java folder, this folder contains another project for making custom object detector using Deeplearning4j lib.

I recommend you to fork this repo then add this feature (using WebSockets). And it will be great if you publish a tutorial for that.