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

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

6 years ago
Anonymous $cyhBy-qkd5

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

In this article, I will present how I managed to use Tensorflow Object-detection API in a Docker container to perform both real-time (webcam) and video post-processing. I used OpenCV with python3 multiprocessing and multi-threading libraries.

I will focus on hurdles I have encountered, and what solutions I have found (or not!). The full code is on my Github.

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

Jul 5, 2018, 9:45pm UTC
https://towardsdatascience.com/real-time-and-video-processing-object-detection-using-tensorflow-opencv-and-docker-2be1694726e5 > In this article, I will present how I managed to use Tensorflow Object-detection API in a Docker container to perform both real-time (webcam) and video post-processing. I used OpenCV with python3 multiprocessing and multi-threading libraries. > I will focus on hurdles I have encountered, and what solutions I have found (or not!). The full code is on my Github.