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robmarkcole/README.md

Robin Cole

I hold a PhD in physics from the University of Cambridge, and have significant R&D experience across academia and industry. Over the last ten years, I have been working in the space sector, applying my optical expertise in the design and manufacture of space-based telescopes, as well as specializing in Python-based image analysis and software development. I am a well-known authority in machine and deep learning techniques for processing satellite and aerial imagery, and am dedicated to education. I have created the satellite-image-deep-learning.com website, newsletter, YouTube channel, and Github organization to share my knowledge and build a community. As a strong proponent of the open-source software movement, I regularly contribute to Github and strive to make a positive impact in the developer community. I have had the opportunity to share my expertise by presenting at various Python conferences and have been invited as a guest on several podcasts, including the ZenML and Mapscaping podcasts. Through these opportunities, I am able to share my knowledge and passion for the industry, while also connecting with other like-minded individuals.

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  1. satellite-image-deep-learning/techniques satellite-image-deep-learning/techniques Public

    Techniques for deep learning with satellite & aerial imagery

    8.8k 1.5k

  2. fire-detection-from-images fire-detection-from-images Public

    Detect fire in images using neural nets

    Jupyter Notebook 400 76

  3. mqtt-camera-streamer mqtt-camera-streamer Public

    Stream images from a connected camera over MQTT, view using Streamlit, record to file and sqlite

    Python 240 55

  4. yolov5-flask yolov5-flask Public archive

    Official implementation at https://github.com/ultralytics/yolov5/tree/master/utils/flask_rest_api

    Python 186 88

  5. HASS-plate-recognizer HASS-plate-recognizer Public

    Read number plates with https://platerecognizer.com/

    Python 137 30

  6. coral-pi-rest-server coral-pi-rest-server Public

    Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick

    Jupyter Notebook 67 20