Assistive Technology,Computer Vision,Object Detection,Tensor Flow,Visually ImpairedAssistive Technology (AT) becomes an interesting field of research in this present era. According to the World Health Organisation (WHO - https://www.who.int), there are approximately 285 million visually impaired people...
I am very new to this field, but I want to run a Tensorflow object detection model in Intel OpenVino. I am referring to a YouTube video for this one, but it is giving me an error. As I need to run the .pb file with the mo_tf.py , so I have given th...
如 Tensor- Flow 目前支持 Linux, Mac OX 和 Windows 系统 。 警告告: 对于使用 ARM 架构的 ,你需要用源码来编译安装 TensorFlow 。 1.1.3 步骤 3 : TensorLayer 最便捷安装 TensorLayer 只需要一个指令 ,如下: pip install git+ 不过 ,若你是高级玩家 ,你想要在 TensorLayer 的基础上拓展或修改源码 ,你...
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used) - ideaflow/darknet
Hi Intel Developers, I am using Deep Learning based Object Detection and Action Recognition using Tensorflow(Using AWS GPUs), And I am planning to
Quantum computing holds significant promise for solving complex problems, but simulating quantum circuits on classical computers remains essential due to t
Tensor flowComputer visionCNNObject identificationDeep learningObject detection is blooming area in computer vision that is maturing very quickly. Consistently, new algorithms/ models keep on outperforming the previous one. Most of the computer vision system will first collect the data regarding the ...
Novel approach for object detection neural network model using you only look once v4 algorithm and compared with tensor flow SSD mobile net algorithm in terms of accuracy and latencyThe purpose of this research is to create a cutting-edge YOLO v4 (You Only Look Once v4) neural network model ...
Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: Computer vision and pattern recognition, vol 1, pp 886–893 Dalal N, Triggs B, Schmid C (2006) Human detection using oriented histograms of flow and appearance. In: European conference on computer vision, pp...