Fine-grained Recognition for Ethnographic Division
Rose Day
Unknown
- 0 Collaborators
Fine-grained Recognition for Ethnographic Division to create a model that can detect differences in individuals. ...learn more
Project status: Under Development
Intel Technologies
OpenVINO,
Intel Opt ML/DL Framework,
Movidius NCS
Overview / Usage
Using Intel® Movidius™ Neural Compute Stick running on Intel® Nuc with Ubuntu to evaluate Ethnographic Division using Tensorflow.
Methodology / Approach
- Grab images from online API's divided into different groups.
- Train and Test Tensorflow model to detect the different groups.
- Open the device (Movidius™ Neural Compute Stick) and get a handle to it.
- Load a graph file onto the NCS device (Movidius™ Neural Compute Stick).
- Pre-process the images coming from the video stream.
- Read and print inference results from the device based on image classification.
- Unload the graph and close the device.
Technologies Used
Intel® Movidius™ Neural Compute Stick
Intel® Nuc
Python 3
Intel® OpenVino
Intel® Optimized Tensorflow Model