ResNet-3D-Quantized
Sports and human action recognition in videos.
ResNet 3D is a network with 3D convolutions used for video understanding.
Technical Details
Model checkpoint:Kinetics-400
Input resolution:112x112
Number of parameters:33.4M
Model size:33.4 MB
Applicable Scenarios
- Camera
- Action Recognition
Licenses
Source Model:BSD-3-CLAUSE
Deployable Model:AI Model Hub License
Tags
- backbone
- quantized
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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