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GitHub6y
Xujan24/Object-Detection-using-CNN: A simple single object detection using Convolutional Neural Network, (CNN). - GitHub
Object detection is one of the fundamental problem in computer vision. Given an image, the goal is to detect the objects within the image, by generating a rectangular box (bounding box) around the ...
GitHub4y
Object detection using deep learning with OpenCV and Python
OpenCV dnn module supports running inference on pre-trained deep learning models from popular frameworks like Caffe, Torch and TensorFlow. When it comes to object detection, popular detection ...
Semiconductor Engineering2y
Object Detection CNN Suitable For Edge Processors With Limited Memory - Semiconductor Engineering
However, considering the small network size, adding object detection classes will increase the size and memory consumption of the network, thus object detection with up to 3 classes is demonstrated.
IEEE2y
Object Detection using You Only Look Once (YOLO) Algorithm in Convolution Neural Network (CNN) - IEEE Xplore
The class probabilities of the discovered photos are provided by the object identification process in YOLO, which is conducted as a regression problem. Both Python and OpenCV used for implementation ...
Geeky Gadgets7mon
Setup YOLO Object Detection using the Raspberry Pi AI HAT
Learn how to set up YOLO object detection on Raspberry Pi AI HAT. Step-by-step guide for hardware, ... and implementing Python-based object detection, counting, and positional tracking.
IEEE6y
Implementation of CNN on Zynq based FPGA for Real-time Object Detection - IEEE Xplore
Abstract: The aim of this work is to implement a Convolutional Neural Network (CNN) using a Python framework on Xilinx® Zynq® based Field Programmable Gate Array (FPGA). And the prototype is used to ...