surajgaikwad345 / object-detecion-via-smartphone-camera-using-faster-r-cnn

Detecting objects captured in the frame of a Smartphone Camera using Faster R-CNN algorithm. TensorFlow Object Detection API has been used for back end & OpenCV has been used to process the frames of video captured from Smartphone Camera. IPWebcam app is used to link Smarthphone to Object Detection Code

Object-Detecion-via-Smartphone-Camera-using-Faster-R-CNN

Detecting objects captured in the frame of a Smartphone Camera using Faster R-CNN algorithm. TensorFlow Object Detection API has been used for back end & OpenCV has been used to process the frames of video captured from Smartphone Camera. IPWebcam app is used to link Smarthphone to Object Detection Code

Screenshots

Technologies Used

• TensorFlow
• OpenCV
• Python
• IPWebcam

How to Install and Use

1. Install TensorFlow Object Detection API by following the instructions here
2. Download my repo and place the jupyter notebook of my repo in models/research/object_detection folder of the Tensorflow API
3. Install IPWebcam app on your smartphone from app store
4. Open app and click on Start Server
5. Replace the IP address in my jupyter notebook with IP address in app on Smartphone and run the notebook