搜索资源列表
rcnn-master
- 区域卷积网络 深度学习在目标检测、图像分割方面的应用代码 基于caffe操作平台-region convolutional net ,the adaptin of dep learning on object detection and segmentation
rcnn
- RCNN,Region Based CNN,即基于区域的卷积神经网络代码，在许多数据集上刷新了识别记录，这是其实现代码，研究深度学习的同学可以下载，比较有帮助。-RCNN, Region Based CNN, namely the convolution neural network code based on the region in many data sets refresh identification record, this is the realization of the co
rcnnPfast-rcnnPfaster-rcnn
- 物体分割，Ross Girshick的R-CNN + fast R-CNN + faster R-C-object classification Ross Girshick. R-CNN+ fast R-CNN+ faster R-CNN
faster_rcnn-master
- faster_rcnn的matlab试验资料，包括编译好的包，CUDA7.5，matlab2016a，VS2013(this is a good learning resource for object detection using deep learning. we use faster_rcnn algorithm and matlab coder cuda version is 7.5 VS version is 12.0 matlab version is 2016a)
鱼体检测初步
- 可以打开视频文件或读取摄像头，通过训练好的RCNN进行金鱼的检测以及追踪。同时也可以自己训练需要检测追踪的物体。需要matlab2017以上版本。(You can open the video file or read the camera, through the trained Neural Networks of good RCNN goldfish detection and tracking. At the same time can also train their own need
人头检测matlab代码
- 可以打开视频文件，对视频文件中的人头进行检测并统计数量。算法有HOG RCNN 及Aggrate Channel Features三种(You can open the video file, the head of the video file to detect and statistics. Algorithm HOG RCNN Aggrate Channel Features tionchannel three)
CrowdHumanCount
- Crowd counting based on faster-rcnn
edge_detection
- 使用canny算子对图像进行边缘检测，用于RCNN的目标检测。(Edge detection using Canny operator)