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Real time object detection using tensorflow

Real-time and video processing object detection using Tensorflow, OpenCV and Docker.

https://towardsdatascience.com/real-time-and-video-processing-object-detection-using-tensorflow-opencv-and-docker-2be1694726e5


Clone Git repository
https://github.com/lbeaucourt/Object-detection


Example from Tensorflow Video-Detection
https://towardsdatascience.com/building-a-real-time-object-recognition-app-with-tensorflow-and-opencv-b7a2b4ebdc32
https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb


Research
https://www.pyimagesearch.com/2015/12/21/increasing-webcam-fps-with-python-and-opencv/


Pre-trained models Tensorflow detection model zoo- COCO Dataset provide a collection of detection models pre-trained on the COCO dataset.
These models can be useful for out-of-the-box inference if you are interested in categories already in COCO (e.g., humans, cars, etc). They are also useful for initializing your models when training on novel datasets.
https://github.com/tensorflow/models/blob/477ed41e7e4e8a8443bc633846eb01e2182dc68a/object_detection/g3doc/detection_model_zoo.md

Video With my Example:
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http://www.youtube.com/watch?v=zuY0BeTELt4E


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Example on traffic in Fortaleza City, on 17-11-2018.
https://youtu.be/T32nUN8pM6Y

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