This repo contains the code from the benchmark blog post for the Deep Chimpact: Depth Estimation for Wildlife Conservation competition sponsored by MathWorks.
BenchmarkBlog.mlx
is the MATLAB live script of the benchmark code with detailed instructions on how to load, process, and predict on the data. Note: To access this file you have to download or clone the repo.
BenchmarkCodeOnly.m
is the MATLAB code file of the benchmark, which is viewable directly on GitHub.
pytorchToOnnx.py
ports a trained depth estimation model to ONNX so that it can be used in MATLAB.