The dataset used can be downloaded here - Click to Download
This is ready to use data with weights and configuration along with coco names to detect objects with YOLO algorithm.
All the dependencies and required libraries are included in the file requirements.txt See here
- Clone the repo
$ git clone https://github.com/dhrubajyoti89/obj-specifier.git
- Change your directory to the cloned repo and create a Python virtual environment named 'test'
$ mkvirtualenv test
- Now, run the following command in your Terminal/Command Prompt to install the libraries required
$ pip3 install -r requirements.txt
- Open terminal. Go into the cloned project directory folder and type the following command:
$ python3 yolo.py --dataset dataset
- To detect objects in an image type the following command:
$ python3 yolo.py -i "images/1.jpg" -y "yolo-coco"
Feel free to mail me for any doubts/query :email: dhruba.chakraborty2019@gift.edu.in
Feel free to file a new issue with a respective title and description on the the Object Specifier(https://github.com/dhrubajyoti89/obj-specifier/issues) repository. If you already found a solution to your problem, I would love to review your pull request!
MIT © Dhrubajyoti Chakraborty