C#, mediapipe, opencv, ARkit/ARCore.
Budget: $1,500 – $3,000 USD
General description
This is a project divided into 3 milestones where you do colour detection, reduce size, add more filters to the app.
It should work with flutter as the master application. The job is a camera that flutter is opening and requesting information from. You also must create a communication channel to Flutter via an API or a communication bus which the flutter-unity widget has.
Some more information how you work with mediapipe, opencv to detect landmarks can be understood in this article. It is unfortunate that it is written for python, but read it to understand the principle only. This project is in C#
Article Link: https://medium.com/potato/building-with-flutter-unity-ar-experience-toolkit-6aaf17dbb725
The Flutter - unity widget: https://pub.dev/packages/flutter_unity_widget
Main job area: mediapipe(same as ARKit and ARCore, but you do the job in mediapipe only for both platforms) and opencv. Both in C#. Unity is the wrapper and "camera".
Platform: ios and android
Tasks to do:
1. Add colour detection for 5 areas (I have unity example code),
2. Reduce reduce from 409Mb to below 50Mb
3. Bug fixing for 1 filter in the existing code,
4. Add 7-8 filters
Deliverables: deliver source code and APK for each of the above steps. Optimized in every step after point 2.
Timeline: 15-22 days
Budget: $3000
Your experience:
- 5+ years in unity
- 10+ years in native
- mediapipe
- opencv
Response time:
- to create the deal you have 24 hours to do it
Qualifying questions (these are asked to save both me and your time)
a. how many projects have you made in unity?
b. how many projects have you made with mediapipe?
c. how many projects have you made with opencv? the free version?
d. how many projects have you reduced in size? what were the results?
This is a project divided into 3 milestones where you do colour detection, reduce size, add more filters to the app.
It should work with flutter as the master application. The job is a camera that flutter is opening and requesting information from. You also must create a communication channel to Flutter via an API or a communication bus which the flutter-unity widget has.
Some more information how you work with mediapipe, opencv to detect landmarks can be understood in this article. It is unfortunate that it is written for python, but read it to understand the principle only. This project is in C#
Article Link: https://medium.com/potato/building-with-flutter-unity-ar-experience-toolkit-6aaf17dbb725
The Flutter - unity widget: https://pub.dev/packages/flutter_unity_widget
Main job area: mediapipe(same as ARKit and ARCore, but you do the job in mediapipe only for both platforms) and opencv. Both in C#. Unity is the wrapper and "camera".
Platform: ios and android
Tasks to do:
1. Add colour detection for 5 areas (I have unity example code),
2. Reduce reduce from 409Mb to below 50Mb
3. Bug fixing for 1 filter in the existing code,
4. Add 7-8 filters
Deliverables: deliver source code and APK for each of the above steps. Optimized in every step after point 2.
Timeline: 15-22 days
Budget: $3000
Your experience:
- 5+ years in unity
- 10+ years in native
- mediapipe
- opencv
Response time:
- to create the deal you have 24 hours to do it
Qualifying questions (these are asked to save both me and your time)
a. how many projects have you made in unity?
b. how many projects have you made with mediapipe?
c. how many projects have you made with opencv? the free version?
d. how many projects have you reduced in size? what were the results?