Learning Opencv 4 Computer Vision With Python
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8. Juni 2025
Packt Publishing
Learning OpenCV 4 Computer Vision with Python
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98
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AVA
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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98
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#2
Independently published
Advanced Computer Vision with OpenCV 4
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96
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Amazon.de
#3
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
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90
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Amazon.de
#4
Packt Publishing
Machine Learning for OpenCV 4- Second Edition
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87
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Amazon.de
#5
MELEDFCFK
MELEDFCFK 4 GB KI-Starterkit OpenCV Vision Python(B01 4GB (core Module))
81
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#6
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Stabilität: Kann für eine lange Zeit stabil verwendet werden
Design: Robustes Design, einfach zu warten
Einfach zu installieren: einfache Bedienung, einfach zu installieren
Anwendungsszenario:Weit verbreitet in vielen industriellen Umgebungen
Richtige Verwendung:Richtige Verwendung kann die Lebensdauer des Produkts verlängern
358,72 € AUF AMAZON
WayPonDEV
VisionFive2 Open Source Single Board Computer, LPDDR4 8GB Linux Starter Kit,StarFive JH7110 64-bit CPU with Integrated IMG BXE-4-32 MC1 3D GPU, Dual Gigabit Network Port, Support Debian Ubuntu
81
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[StarFive RISC-V JH7110 SoC] VisionFive2 Mini PC Integrated StarFive JH7110 with RISC-V U74 quad-core CPU, with 2MB L2 cache and S7 monitor core, supporting RV64GC ISA, working up to 1.5 GHz. Paired with IMG BXE-4-32 MC1 3D GPU,work frequency up to 600 MHz (400 MHz by default).Suport with Vision DSP, NVDLA engine, and neural network engine for AI acceleration.
[OpenGL and FFMpeg Support] VisionFive2 RISC-V Single Board Computer Integrated IMG BXE-4-32 MC1 supports OpenCL 3.0, OpenGL ES 3.2 and Vulkan 1.2; supports running OpenGL, Vulkan and FFMpeg demos.
[Rich Interface] M.2 connector, eMMC socket,1000M Network Port and WiFi Slot; 40 Pin GPIO Header, 2x RJ45 Ethernet Connector and Micro-SD card slot; 2 x USB 3.0 ports,2 x USB 2.0 ports,1 x USB Type-C port; TF card slot and Flash etc.
[Multi-Function] Powerful Performance, Open Source Application Environment, And Rich Software Ecology, More Possibilities For VisonFive2, while compatible with Raspberry Pi series boards.
[Encoder/Decoder] VisionFive2 Open Source Single Board Computer Video Decoder supports up to 4K@60fps; Support multi stream for H264/H265; Video encoder supports up to 1080p@30fps and multi-stream for H265; JPEG encoder/decoder.
[Various OS Support] VisionFive2 RISC-V AI Linux Starter Kit as an open-source development board,it is not only equipped with onboard audio processing and video processing capabilities, but also has multimedia peripheral interfaces MIPI-CSI and MIPI-DSI.
[Document] VisionFive2 OS download: "https://doc-en.rvspace.org/Doc_Center/visionfive_2.html". Any question please click "WayPonDEV" store and ask a question. Or leave the message to "wpd#youyeetoo&com (#--->@,&--->.)".
124,99 € AUF AMAZON
Python und Mercado Financeiro: Programação Para Estudantes, Investidores und Analistas
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#8
Yahboom
Yahboom Raspberry Pi5 4GB AI Manipulator Kit DIY Programming Artificial Intelligence Robot Kit Tracked Chassis Autopilot OpenCV|MediaPipe (Transbot SE with Pi5 4G)
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71
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#9
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★Raspberry Pi includes temperature control expansion board, 64GTF card, card reader Jetson Nano includes M.2 wireless network card, radiator, 64G U disk 【Programmable AI Vision Robot Kit】Transbot SE crawler robot is a professional programming kit for entry-level ROS system and vision development. Equipped with Jetson Nano 4GB SUB/Raspberry Pi5 (4GB) , it is simple and fast to operate and easy to teach. Deep Learning for AI with Python and C. (motherboard optional)
【AI Function Combination】 The crawler robot arm robot kit is rich in functions, equipped with a Moveit robot arm, which can realize face recognition, QR code scanning, collision detection, and gesture recognition. It has functions such as tracking, automatic driving, fixed-point or multi-vehicle control, and platooning. With remote control handle control, deep play and easy control.
【Professional hardware】 Transbot SE tank-type robot has a high-end aluminum alloy crawler chassis, a two-degree-of-freedom high-definition camera, a 520 powerful encoding motor, an intelligent steering gear and a Yahboom professional robot 4WD expansion board, which can cope with various complex grounds and can be stable and Easy pass. Users can follow the video instructions to complete the assembly. It's an educational and birthday gift that improves teamwork skills in teens.
【Rich Programming Tutorials】 Bring you a full set of learning framework, related tools, firmware, control software and source code provided by Yahboom. Take you from the basics to understand the Transbot SE robot. You can carry out secondary development based on the existing code to make your own self-driving robot car.
【Reliable Customer Service】Yahboom robot kit products are sold to North America, Europe, South America, Asia, and are widely recognized and supported by customers. Our professional, reliable and timely technical support services. If you encounter difficulties in learning the product or AI vision programming program, please contact us. Trust Yahboom to be your programming partner.
312,99 € AUF AMAZON
Yahboom
Yahboom Raspberry Pi 5 STEM Education Robotics AI Vision ROS2 2DOF Camera Autopilot Educational Project Engineering Electronics 18+ WiFi/APP Control Provide Data Ubuntu20.04 (with Pi 5-8GB)
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【First Raspberry Pi 5 robot】microROS robot is based on Raspberry Pi 5 development board, supports Raspberry Pi 5 power supply protocol, can provide 5.1V/5A power supply for Raspberry Pi 5, to avoid lag and reboot and other abnormalities, to play the full performance of the Raspberry Pi 5, the image visual processing is more clear. On-board ESP32 coprocessor, built-in Wi-Fi and Bluetooth function, can handle a number of sensor data. Please note: not compatible with raspberry pi 4B.
【Fully compatible with ROS2】 Based on the Humble version of the ros2 system, it is widely used, stable and has many case tutorials; The communication technology of MicroROS is used between the main control and the driver board, the code is open-source, the programming software, one-stop learning. No need to worry about the robot hardware is not compatible, provide adaptive ROS2 exclusive function play.
【MS200 is fully compatible with ROS2】supports indoor and outdoor, supports 360° scanning and detection, and realizes three-dimensional mapping; the MicroROS control board supports WiFi, Bluetooth, serial port and other communication functions, supports power supply for Raspberry Pi 5PD, and can be directly connected to the ROS2 environment for use. Easy to use and efficient; built-in 310 motor, the metal material is wear-resistant and durable and provides precise and stable motion control.
【AI visual gameplay】The 2-degree-of-freedom 2MP HD camera gimbal is utilized for AI visual depth development, remote control through APP or handle,paired with the high performance of Raspberry Pi 5, enabling smooth implementation of face, QR code, and posture recognition, object tracking, line-following autonomous driving, and gesture recognition control.
【What do you get】 You get a programmable robot kit with metal chassis construction, most of the accessories already installed, including expansion boards for on-board ESP co-processing and 6-axis IMU, 310-coded geared motors, 7.4V recyclable battery, Raspberry Pi 5 (depending on the version), Pi5 active radiator, radar, and 2DOF camera. High-performance hardware paired with solid electronics course content, including Yahboom's original hands-on training and theory courses.
382,00 € AUF AMAZON
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