Learning Opencv 4
Die 10 besten Produkte von Oktober 2025
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10. Oktober 2025
Packt Publishing
Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition
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99
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Amazon.de
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Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects (English Edition)
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97
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Amazon.de
#2
Packt Publishing
Machine Learning for OpenCV 4: Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn, 2nd Edition
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95
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Amazon.de
#3
Packt Publishing
Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection
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89
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Amazon.de
#4
Packt Publishing
Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7 (English Edition)
84
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Amazon.de
#5
Independently published
Advanced Computer Vision with OpenCV 4
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82
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Amazon.de
#6
Learning OpenCV: Computer Vision with the OpenCV Library by Gary Bradski Adrian Kaehler(2008-10-04)
79
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Amazon.de
#7
Image Brightness Correction: Image Processing for Quick Learning 4 (English Edition)
76
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Amazon.de
#8
Image Brightness Correction: Image Processing for Quick Learning 4 (Mint Publishing) (Japanese Edition)
73
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Amazon.de
#9
Yahboom
Yahboom Jetson Nano 4GB Collaborative Robot Arm Programmable ROS OpenCV for Mechanical Engineers,Developing Electronic Projects 7Dof with Adaptive Gripper,USB HD Camera,USB Control Handle
69
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【5 Master Controllers】5 master controllers are available, one of which is for educational robotic arms, which can be seamlessly integrated with the Jetson Nano/Orin Nano SUPER/Orin NX SUPER ecosystem. Built on 5 master controllers and running Ubuntu 22.04, it is an ideal development tool for developing robots and programming. It supports multiple fields such as robot algorithm development and ROS simulation learning. ☆ Orin NX 16GB SUPER version is recommended.
【UR-type mechanical structure】The 7axis collaborative robot developed for user-defined programming has greater flexibility than traditional robotic arms.The smooth body and adaptive gripper have a larger range of motion and can reach more and more precise positioning.Using AI to control its movement and speed, it can achieve millimeter-level positioning and operation.It can work safely with people,is compact, and has many interfaces,making it a collaborative partner on your desktop.
【Programmable&ROS system】Explore the possibilities of RoboFlow,the industrial robot software of elephant robot.Relying on the original Jetson Nano open source ecosystem,Jetcobot provides rich development interfaces, Python driver libraries and built-in ROS environment to make your development easier and faster. It supports multiple programming languages, various software interaction methods and is for a wide range of app. Explore the unlimited potential of this collaborative robot arm.
【AI Vision & Remote Control】Equipped with building blocks and stickers, it can realize recognition, tracking and grabbing actions, fully reflecting the AI characteristics of the robot arm. Equipped with a USB game controller remote control to achieve the best control experience; create a Jupyter Lab page online.
【Tutorials provided】All information and instructions are in English.We provide high-quality technical support services. If you need help, please contact Yahboom.Jetcobot is recommended for individuals with a basic understanding of programming, not for beginners.Considering the threshold of product use,we strongly recommend that you read the instructions carefully before operation.Please pay attention to the power adapters in the list.If you use them interchangeably, they will burn out.
849,00 € AUF AMAZON
opencv 4
learning opencv
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