ResNet-Mixed-Convolution
Sports and human action recognition in videos.
ResNet Mixed Convolutions is a network with a mixture of 2D and 3D convolutions used for video understanding.
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This model is currently not supported on any IoT chipset.
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View for other chipsetsTechnical Details
Model checkpoint:Kinetics-400
Input resolution:112x112
Number of parameters:11.7M
Model size (float):44.6 MB
Model size (w8a16):11.5 MB
Applicable Scenarios
- Camera
- Action Recognition
License
Model:BSD-3-CLAUSE
Tags
- backbone
Supported IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-6690 MTP
- Dragonwing Q-7790
- Dragonwing Q-8750
- Dragonwing RB3 Gen 2 Vision Kit
- QCS8275 (Proxy)
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCM6690
- Qualcomm® QCS6490
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
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