Midas-V2-Quantized
Quantized Deep Convolutional Neural Network model for depth estimation.
Midas is designed for estimating depth at each point in an image.
Technical Details
Model checkpoint:MiDaS_small
Input resolution:256x256
Number of parameters:16.6M
Model size:16.6 MB
Applicable Scenarios
- Anomaly Detection
- Inventory Management
Licenses
Source Model:MIT
Deployable Model:AI Model Hub License
Tags
- quantizedA “quantized” model can run in low or mixed precision, which can substantially reduce inference latency.
Supported IoT Devices
- QCS8250 (Proxy)
- QCS8550 (Proxy)
- RB5 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8250
- Qualcomm® QCS8550