搜索资源列表
ssd_hager_planar_tracking
- 目标跟踪源程序 开发环境matlab Those are a set of matlab functions for the tracking of a planar patch using direct grey levels information (a.k.a. SSD).-target tracking source development environment Matlab Those are a set of matla b functions for the track
ssd-method-for-object-detection
- ssd是当前目标检测领域的最先进的研究方法，也是今年CVPR会议的最新成果-Ssd is the most advanced research method in the current target detection field and the latest achievement of this year s CVPR conference
caffe-ssd
- SSD和faster rcnn都是目前比较经典的基于caffe深度学习架构的一种方法,是目前比较先进的目标检测方法(SSD and faster RCNN are the most classic methods based on Caffe deep learning architecture, and they are more advanced target detection methods)
DSST_code
- SSD算法是目标检测与分类比较优秀的前沿算法，基于深度学习平台实现，最大的优点是速度快。(It is a matlab code (SSD) for object detection based on deep learning.)
labelImg-master
- LabelImg 是一个可视化的图像标定工具。使用该工具前需配置环境python + lxml。Faster R-CNN，YOLO，SSD等目标检测网络所需要的数据集，均需要借此工具标定图像中的目标。(LabelImg is a visual image calibration tool. You need to configure the environment Python + lxml before using this tool. Faster R-CNN, YOLO, SSD and
可以运行
- 使用ssd深度学习方法来实现生活中想要识别的目标(Using SSD in-depth learning method to achieve the goals you want to identify in your life)