Fast-Depth
Visit Toolfast-depth is an open-source project providing trained models and evaluation code for fast monocular depth estimation. It is designed for efficient deployment on embedded systems like the NVIDIA Jetson TX2.
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fast-depth is an open-source project providing trained models and evaluation code for fast monocular depth estimation. It is designed for efficient deployment on embedded systems like the NVIDIA Jetson TX2.
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About
FastDepth is an open-source project that provides trained models and evaluation code for fast monocular depth estimation, specifically optimized for embedded systems. The project includes resources for setting up the environment, downloading pre-trained models, evaluating performance, and deploying models on hardware like the NVIDIA Jetson TX2. It leverages PyTorch for model training and evaluation, and the TVM compiler stack for efficient cross-compilation and deployment. The repository offers various MobileNet-NNConv5 architectures, including pruned versions with additive skip connections, demonstrating significant performance improvements in terms of RMSE and delta1 metrics compared to prior work, with very low runtimes on embedded GPUs.
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