Custom Object Detection Android App Using TensorFlow Lite(GPU) and OpenCV: Setup | Part 1
In this tutorial series, we will make a custom object detection Android App.
We are going to use TensorFlow Object Detection API to train the model. Next video we will create a dataset of 5 vegetables as a custom object (Tomato, Onion, Garlic, Capsicum, Potato).
If you don’t have TensorFlow-GPU 2.5 and python 3.6-3.9 please watch this video:
Install TensorFlow V2.x GPU/CPU On Windows | All Errors And Their Solutions.
Video link: https://www.youtube.com/watch?v=JPiCPm4ws7w&t=8s
Installation process:
https://www.kaggle.com/pramod722445/install-tensorflow-object-detection-api
Model-master link: https://github.com/tensorflow/models
Protobuf link: https://github.com/protocolbuffers/protobuf/releases
COCO API link: https://github.com/philferriere/cocoapi
Visual Studio Build Tools: https://visualstudio.microsoft.com/downloads/
If you want me to improve in anything comment below. Please like and share this video and subscribe to my channel.
source
