BrunoBerger/DeepLearning2 ↗
Created Dec 31, 2020 · View the BrunoBerger/DeepLearning2 repository page
Map detected Objects directly to leaflet-maps
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Contributors
1
Lines of Code
367
From
Apr 13, 2020
To
Dec 11, 2020
About BrunoBerger/DeepLearning2
DeepLearning2 is a Python tool that combines object detection with geolocation mapping. It uses a MobileNet-SSD neural network trained on the COCO dataset to identify objects in images or video feeds, then exports the detected objects along with their locations to interactive Leaflet maps for visualization.
The project includes a pre-trained object detection model bundled in the repository, making setup straightforward for users with Python 3.7 or later. The detection functionality draws from established computer vision techniques popularized by PyImageSearch. Currently, the tool generates GPS coordinates randomly for demonstration purposes, but users can integrate real GPS data sources to deploy it in practical applications.
This appears to be an academic or learning-focused project, designed as part of a deep learning curriculum module. The repository includes comprehensive documentation in its Wiki, and the codebase is structured around a main entry point that handles the detection pipeline and map generation workflow.