This project is used to identify mobile phone pictures and can identify 1000 types. The most important thing is that this project does not require an Internet connection, does not require an Internet connection, does not require an Internet connection. Important things should be said three times. And this is just a framework, you can call any model, and you can migrate to other platforms with a small amount of code, including iOS, Windows, Mac, etc. So once you are familiar with this framework, you can call many large models locally without an Internet connection to achieve specific functions.
This project published based on Buildozer The interface is drawn with kivymd. So if you plan to develop it yourself, you need to be familiar with the above two projects.
If you have fully read the Buildozer documentation, and installed the corresponding installation package. In the console, cd to the root directory of this project and execute: buildozer -v android debug. This command will generate a middleware dependency directory .buildozer in the root directory of this project. After the execution is completed, a bin directory will be generated, and an apk file will be generated in it. Install this file to the phone and use it directly.
Note that you need to enable the read file permission for this apk
I am an IT veteran and a full-stack engineer who is familiar with machine learning and backend development. If there are remote work opportunities or technical immigration opportunities, I would be happy to discuss with you. Thank you If you are interested in the above, please email me. [email protected]