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Convolutional Neural Networks
The deeplearning algorithms implemented by tensorflow
1、基于CNN模型来实现人脸识别 2、基于Flask将人脸识别模型暴露为web服务形式进行调用 3、基于OpenCV调用摄像头对实时视频流数据进行检测
项目名称为:自建数据集人脸识别。该项目利用电脑自带摄像头或者已有照片进行人脸数据集建立,再进行人脸检测,人脸识别,人脸预测,包括数据采集、数据预处理、建模、模型训练、模型使用预测全过程。项目使用Openc3进行数据采集、数据预处理,Keras 进行建模,模型参考了VGG16网络,包含4个卷积层,5个LeRu层,2个池化层,3个Dropout层,2个全连接层,1个flatten层,1个分类层,共18层。
my flag
短视频内容理解与推荐竞赛
A Keras implementation of YOLOv3 (Tensorflow backend)
YOLO v3 物体检测算法
制作自己的VOC2007数据集用于faster-rcnn目标检测模型训练
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
基于深度学习的课堂专注度行为识别系统
Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
机器学习相关教程
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.