Raspberry pi Object Detection with TensorFlow-lite ( MobileNet-v2 Model )
more info
http://raspberrypi4u.blogspot.com/202...
Hardware
• Raspberry pi 4B 4G + SDCard 32 GB
Software
• Raspberry pi Legacy OS ( Raspbian 10 , 32 bit version )
• Tensorflow 1.14.0
• OpenCV 4.0
• Python 3.7.3
Machine Learning Model : SSD Mobilenet V2 ( INT8 )
Video MP4 960x540 pixels
Python Source Code
https://github.com/EdjeElectronics/Te...
What is object detection?
Given an image or a video stream, an object detection model can identify which of a known set of objects might be present and provide information about their positions within the image.
An object detection model is trained to detect the presence and location of multiple classes of objects. For example, a model might be trained with images that contain various pieces of fruit, along with a label that specifies the class of fruit they represent (e.g. an apple, a banana, or a strawberry), and data specifying where each object appears in the image.
When we subsequently provide an image to the model, it will output a list of the objects it detects, the location of a bounding box that contains each object, and a score that indicates the confidence that detection was correct.
TensorFlow Object Detection API
Creating accurate machine learning models capable of localizing and identifying multiple objects in a single image remains a core challenge in computer vision. The TensorFlow Object Detection API is an open source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models. At Google we’ve certainly found this codebase to be useful for our computer vision needs, and we hope that you will as well.
TensorFlow 1 Detection Model Zoo
We provide a collection of detection models pre-trained on the COCO dataset, the Kitti dataset, the Open Images dataset, the AVA v2.1 dataset the iNaturalist Species Detection Dataset and the Snapshot Serengeti Dataset. These models can be useful for out-of-the-box inference if you are interested in categories already in those datasets. They are also useful for initializing your models when training on novel datasets.
https://github.com/tensorflow/models/...
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