Dog Breed

Dog Breed is a complete and easy to use web app that can identify the breed of dogs. The code has been trained on a set of 133 different classes. Highlighting the features of web app:

• Take a photo or browse a photo from a gallery.
• Know the number of dogs present in the image.
• Get a detailed information about the dogs present.

Installations and requirements

• Clone the repository

$ git clone https://github.com/drawncode/Dog-Breed-Identifier-Web-App.git

• Download the weights file of yolo using the link YOLOv3 weights or run the following command

$ wget https://pjreddie.com/media/files/yolov3.weights

• Since flask is used as a backend for the web app, make sure flask is also installed

$ pip3 install Flask

Instructions to run

Using web app

• Get your server connected to a network.
• Note the machine's ip using the following command

$ ifconfig

• My server's ip is 10.8.18.31
• Now, on the server machine, run the following command to create the server

$ python3 app.py

• Now on clients machine, open the browser.
• Make sure no proxies are there in the browser.
• Run the code using URL <Your Server's ip>:50030
• In my case, The URL is 10.8.18.31:50030
• You are ready to use the web app.

Without web app

• Rename the test image as test.jpg and copy it to the main directory.
• Run the command

$ python3 inference.py

• All the outputs will be saved in output directory