Home

ecuaţie ucenic Lipițivă mobilenet ssd v2 caffe Preludiu nordest Jurământ

Real-Time Vehicle Detection with MobileNet SSD and Xailient - Edge AI and Vision Alliance
Real-Time Vehicle Detection with MobileNet SSD and Xailient - Edge AI and Vision Alliance

GitHub - maym86/caffe-ssd: Build of caffe with mobilenet SSD - fork of https://github.com/weiliu89/caffe/tree/ssd
GitHub - maym86/caffe-ssd: Build of caffe with mobilenet SSD - fork of https://github.com/weiliu89/caffe/tree/ssd

GitHub - FreeApe/VGG-or-MobileNet-SSD: Caffe implementation of Google VGG/ MobileNet/ShuffleNet SSD detection network. Ref: (https://github.com/chuanqi305/MobileNet-SSD) (https://github.com/weiliu89/ caffe) SSD QQ交流群：581437405
GitHub - FreeApe/VGG-or-MobileNet-SSD: Caffe implementation of Google VGG/ MobileNet/ShuffleNet SSD detection network. Ref: (https://github.com/chuanqi305/MobileNet-SSD) (https://github.com/weiliu89/ caffe) SSD QQ交流群：581437405

Import ONNX* MobileNet v2 Tutorial - OpenVINO™ Toolkit
Import ONNX* MobileNet v2 Tutorial - OpenVINO™ Toolkit

GitHub - shicai/MobileNet-Caffe: Caffe Implementation of Google's MobileNets (v1 and v2)
GitHub - shicai/MobileNet-Caffe: Caffe Implementation of Google's MobileNets (v1 and v2)

Recognition of Various Objects from a Certain Categorical Set in Real Time Using Deep Convolutional Neural Networks
Recognition of Various Objects from a Certain Categorical Set in Real Time Using Deep Convolutional Neural Networks

Choose FP16, FP32 or int8 for Deep Learning Models
Choose FP16, FP32 or int8 for Deep Learning Models

Choose FP16, FP32 or int8 for Deep Learning Models
Choose FP16, FP32 or int8 for Deep Learning Models

Retrained Mobilenet-SSD model that can get right results in caffe can't detect any object in OPENCV3.4 · Issue #10482 · opencv/opencv · GitHub
Retrained Mobilenet-SSD model that can get right results in caffe can't detect any object in OPENCV3.4 · Issue #10482 · opencv/opencv · GitHub

GitHub - zhanghanbin3159/MobileNetV2-SSD
GitHub - zhanghanbin3159/MobileNetV2-SSD

MobileNet SSD object detection OpenCV 3.4.1 DNN module
MobileNet SSD object detection OpenCV 3.4.1 DNN module

arXiv:1801.04381v4 [cs.CV] 21 Mar 2019
arXiv:1801.04381v4 [cs.CV] 21 Mar 2019

深度学习实现目标实时检测Mobilenet-ssd caffe实现_xiao__run的博客-CSDN博客
深度学习实现目标实时检测Mobilenet-ssd caffe实现_xiao__run的博客-CSDN博客

How to retrain SSD Mobilenet for real-time object detection using a Raspberry Pi and Movidius Neural Compute Stick? - Tolotra Samuel
How to retrain SSD Mobilenet for real-time object detection using a Raspberry Pi and Movidius Neural Compute Stick? - Tolotra Samuel

Regression with Mobilenet-SSD V2 Caffe-ssd model · Issue #694 · Tencent/ncnn · GitHub
Regression with Mobilenet-SSD V2 Caffe-ssd model · Issue #694 · Tencent/ncnn · GitHub

GitHub - FreeApe/VGG-or-MobileNet-SSD: Caffe implementation of Google VGG/ MobileNet/ShuffleNet SSD detection network. Ref: (https://github.com/chuanqi305/MobileNet-SSD) (https://github.com/weiliu89/ caffe) SSD QQ交流群：581437405
GitHub - FreeApe/VGG-or-MobileNet-SSD: Caffe implementation of Google VGG/ MobileNet/ShuffleNet SSD detection network. Ref: (https://github.com/chuanqi305/MobileNet-SSD) (https://github.com/weiliu89/ caffe) SSD QQ交流群：581437405

GitHub - chuanqi305/MobileNet-SSD: Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
GitHub - chuanqi305/MobileNet-SSD: Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

arXiv:1804.06882v3 [cs.CV] 18 Jan 2019
arXiv:1804.06882v3 [cs.CV] 18 Jan 2019

YoloV2, Yolo 9000, SSD Mobilenet, Faster RCNN NasNet comparison - YouTube
YoloV2, Yolo 9000, SSD Mobilenet, Faster RCNN NasNet comparison - YouTube

利用自己的数据集训练MobileNetSSD建立模型，并基于caffe-ssd实现- 知乎
利用自己的数据集训练MobileNetSSD建立模型，并基于caffe-ssd实现- 知乎

Top 10 Sources to Find Computer Vision and AI Models
Top 10 Sources to Find Computer Vision and AI Models

Sensors | Free Full-Text | Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse | HTML
Sensors | Free Full-Text | Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse | HTML

New mobile neural network architectures
New mobile neural network architectures

Rapidly Implement Edge AI Applications with FPGAs | DigiKey
Rapidly Implement Edge AI Applications with FPGAs | DigiKey

Real-time Human Detection in Computer Vision — Part 2 | by Madhawa Vidanapathirana | Medium
Real-time Human Detection in Computer Vision — Part 2 | by Madhawa Vidanapathirana | Medium