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* Convolutional Neural Networks for object detection (in videos)
 
* Convolutional Neural Networks for object detection (in videos)
 
* Heartbeat Tutorial Part 1: [https://heartbeat.fritz.ai/detecting-objects-in-videos-and-camera-feeds-using-keras-opencv-and-imageai-c869fe1ebcdb Detecting objects in videos and camera feeds using Keras, OpenCV, and ImageAI]
 
* Heartbeat Tutorial Part 1: [https://heartbeat.fritz.ai/detecting-objects-in-videos-and-camera-feeds-using-keras-opencv-and-imageai-c869fe1ebcdb Detecting objects in videos and camera feeds using Keras, OpenCV, and ImageAI]
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** using a Python library called ImageAi and the YOLOv3 model
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** 1. installing a number of python libraries and ImageAi
 
* Heartbeat Tutorial Part 2: [https://heartbeat.fritz.ai/analyze-and-visualize-detected-video-objects-using-keras-and-imageai-d84c99b0ae8e Analyze and Visualize Detected Video Objects Using Keras and ImageAI]
 
* Heartbeat Tutorial Part 2: [https://heartbeat.fritz.ai/analyze-and-visualize-detected-video-objects-using-keras-and-imageai-d84c99b0ae8e Analyze and Visualize Detected Video Objects Using Keras and ImageAI]
  

Version vom 17. Mai 2019, 18:24 Uhr

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KI-SEMINAR

Projektdokumentation

Kurzbeschreibung (EN)


THE OFFICE (working title), 2019
Humans and plants live on different timescales. This is certainly one of the reasons why in everyday life, plants might often seem static and object-like to us. »The Office« (2019) makes use of existing video footage that covers large time spans, in this case, popular long-term tv shows. These productions showcase office and apartment interiors over a longer period of time, often also including houseplants which are mainly used for decorative purposes. Some of these series run over years or even decades and thus comprise many hours of footage. Convolutional neural networks are used as a tool to detect scenes involving houseplants while processing large quantities of the given video material. Selected scenes are compiled into a time-lapse movie which documents plant growth over a long period of time. While the lively movement and growth of the normally passively seeming plants becomes visible, the human activities become blurry and fade into the background.
Keywords: plants, plant-human-relationships, time, timescales, time-lapse, video, neural networks

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