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In this tutorial, I will show you how to install OpenCV on Raspberry Pi 4 and then get a real-time video stream going. OpenCV is a library that has a bunch of programming functions that enable us to do real-time computer vision.
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PoseNet runs with either a single-pose or multi-pose detection algorithm. The single person pose detector is faster and more accurate but requires only one subject present in the image. The output stride and input resolution have the largest effects on accuracy/speed. A higher output stride results in lower accuracy but higher speed.
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Mar 26, 2018 · The one and only core application for computer vision is image understanding. This also implies videos, as it is technically a collection of images (frames).
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• Developed human body posture recognition: Implemented in Python using Tensorflow PoseNet for extracting human joints for body posture analysis. • Developed a machine vision banking system: Implemented in Python using Optical Character Recognition (OCR) and extracting text from images for cheque fraud detection.
Type 'conda create -n tf2 python=3.8' and hit enter to create a new anaconda environment with python 3.8 (the tensorflow nightly build needs python 3.8 or higher, that's why we are using python 3.8) Type 'activate tf2' or 'conda activate tf2' and hit enter to enter that new environment.
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May 18, 2018 · The Python 2 version worked for me, but the Python 3 didn’t, as it is compiled for Python 3.4, but the Python 3 version that comes with Raspbian is 3.5. Is there any ETA for generating a 3.5 ...
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See full list on learnopencv.com
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Sep 13, 2017 · The provided function is a plain python function and works on GPU as long as both input tensors are on (the same) GPU. 1 Like sanchit2843 (Sanchit2843) January 28, 2020, 7:41pm
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Joao Carreira is a research scientist at DeepMind. Previously he was a postdoc at UC Berkeley and before that he did his PhD at the University of Bonn. His interests are now mainly in video modeling and representation; before, he did some of the early work on object proposals, as well as venturing into class-specific reconstruction, human pose estimation and semantic segmentation.
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