Drone Navigation Inspection
Python TensorFlow semantic-segmentation starter for drone landing safety with Intel optimizations.
Reference implementation of a VGG-UNET semantic segmentation pipeline that identifies paved landing areas from drone imagery. It uses TensorFlow optimized with Intel oneDNN on CPU and Intel Neural Compressor for INT8 quantization, and is suited for edge deployment, benchmarking, and training/hyperparameter experiments.
Features
Semantic Segmentation
Model Quantization
Hyperparameter Tuning
Inference Benchmarking
Dataset Preparation
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👨🏻💻 Oneapi Src Github Stars
18
Last Commit Date
2024-05-08 (fetched 3 months ago)
Repo URL
oneapi-src/drone-navigation-inspection Technologies
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