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Title: GitHub - necator9/detection_method: Lightweight moving object detection method (pedestrians, cyclists, vehicles) which is developed for devices with limited computational power (Beaglebone, Raspberry).

Open Graph Title: GitHub - necator9/detection_method: Lightweight moving object detection method (pedestrians, cyclists, vehicles) which is developed for devices with limited computational power (Beaglebone, Raspberry).

X Title: GitHub - necator9/detection_method: Lightweight moving object detection method (pedestrians, cyclists, vehicles) which is developed for devices with limited computational power (Beaglebone, Raspberry).

Description: Lightweight moving object detection method (pedestrians, cyclists, vehicles) which is developed for devices with limited computational power (Beaglebone, Raspberry). - necator9/detection_method

Open Graph Description: Lightweight moving object detection method (pedestrians, cyclists, vehicles) which is developed for devices with limited computational power (Beaglebone, Raspberry). - necator9/detection_method

X Description: Lightweight moving object detection method (pedestrians, cyclists, vehicles) which is developed for devices with limited computational power (Beaglebone, Raspberry). - necator9/detection_method

Opengraph URL: https://github.com/necator9/detection_method

X: @github

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Domain: patch-diff.githubusercontent.com

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“Fast Object Detection Using Dimensional Based Features for Public Street Environments”	https://www.mdpi.com/2624-6511/3/1/6
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trained classifier	https://github.com/necator9/model_training
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Bundle into a single executable	https://patch-diff.githubusercontent.com/necator9/detection_method/blob/master/doc/pyinstaller.md
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SL release v1.0.6-sl Latest Oct 27, 2021	https://patch-diff.githubusercontent.com/necator9/detection_method/releases/tag/v1.0.6-sl
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