Object Detection Video
Manuel Robalinho
SAP Financial and Controlling Consultant, Master in Computer Science. I am SAP Champion and I'm part of the organizing group for the SAP Inside Track Fortaleza and SAP Inside Track Porto events!
My goal is to make experiences with Object Detection Video with TensorFlow.
To detecting objects in videos and camera feeds using Keras, OpenCV, and ImageAI. We can obtain knowledge about this theme here.
Object detection is a branch of Computer Vision, in which visually observable objects that are in images of videos can be detected, localized, and recognized by computers. An image is a single frame that captures a single-static instance of a naturally occurring event .
On the other hand, a video contains many instances of static images displayed in one second, inducing the effect of viewing a naturally occurring event.
Install on your computer Python 3.
i. TensorFlow (tensorflow)
ii. Numpy (numpy)
iii. SciPy (scipy)
iv. OpenCV (opencv-python)
v. Pillow (pillow)
vi. Matplotlib (matplotlib)
vii. H5py (h5py)
viii. Keras (keras)
ix. ImageAI
ImageAI we can download at the link of OlafenwaMoses Github. We use trained YOLOv3 computer vision model to perform the detection and recognition tasks . Download the RetinaNet model file that will be used for object detection .
Here is the result with a video that i used from the internet, where we can watch traffic in an India city.
More details here: