ZoeDepth-Mobile
7%Metric depth in real units. Calibrated for mobile-tier NPUs.
DepthFocsle-ResearchINT8FP16metric-depthindoor
41K downloads 1.8K deploymentsUpdated Feb 9, 2028
Headline:28.4ms · Qualcomm QCS8550 · INT8
Deploy ZoeDepth-Mobile
Pick a chip family. We hand you the artifacts (HEF, TRT engine, Core ML, ONNX) plus a one-click endpoint deploy. For private endpoints, on-prem deploy, or air-gapped distribution, see Enterprise.
NNVIDIA Jetson Orin Nano
# Build a TensorRT engine
$ focsle pull focsle/zoedepth-mobile --target jetson-orin-nano
$ focsle build trt --plan zoedepth-mobile.plan \
--precision fp16 \
--workspace 4G
# Run with TensorRT
import focsle.runtime as fr
m = fr.load("zoedepth-mobile.plan", target="trt")
out = m.run(frame)One-click endpoint
Spins up a managed endpoint in the closest region. Pro and above.