EyeGaze
Eye gaze estimation from cropped eye images.
Predicts gaze direction (pitch, yaw) from 96x160 grayscale eye images using the EyeNet model.
Technical Details
Model checkpoint:checkpoint.pt
Input resolution:96x160
Number of parameters:2.58M
Model size (float):9.6MB
Model size (w8a16):3.3 MB
Applicable Scenarios
- Incabinet driver monitoring
- Phone unlocking
- Building access control
Licenses
Source Model:BSD-3-CLAUSE
Deployable Model:AI-HUB-MODELS-LICENSE
Tags
- real-time
Supported IoT Devices
- QCS6490 (Proxy)
- QCS8250 (Proxy)
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
- RB3 Gen 2 (Proxy)
- RB5 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS6490 (Proxy)
- Qualcomm® QCS8250 (Proxy)
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
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