搜索资源列表
ifdef
- 人脸检测的C/C++源代码，曾发表于 OPENCV 的 MAILING LIST，主要是对OPENCV 3.1 版本发布的代码做了一些速度上的优化，并且解决了内存泄漏的问题。这个程序所使用的 Paul Viola 提出（该论文“Rapid Object Detection using a Boosted Cascade of Simple Features”发表在 CVPR 01）的 Ada Boosted Cascade 算法可以说是目前最好最快的目标检测算法。 -Face Detecti
facetect_matlab
- Face-Detector, OpenCV Haar cascade object detection. Matlab interface for running haar-cascade object detectors from the Intel Open Computer Vision Library.
src
- 关于一个浮动物体检测的源代码。 可以看到很多浮动物体，然后预测物体前进方向。-It s a floating object detection source code. It could be used as a model for predicting floating object and trajectory.
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- 基于dpca的程序，应用于故障检测与故障诊断，效果很好，对象为csth-Dpca based on the program, used in the fault detection and fault diagnosis, the effect is very good, for CSTH object
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- 基于dpca的程序，应用于故障检测与故障诊断,还有故障识别，效果很好，对象为csth-Dpca based on the program, used in the fault detection and fault diagnosis, and fault recognition, the effect is very good, for CSTH object
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- 基于dpca的程序，应用于故障检测与故障诊断,还有故障识别，效果很好，对象为cstr，效果明显-Dpca based on the program, used in the fault detection and fault diagnosis, and fault recognition, the effect is very good, object for CSTR, the effect is obvious
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- 基于dpca的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Dpca based on the program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is simple
fsm_release
- 由王兴刚、白翔等人发表于2012CVPR上的文章，Fan Shape Model for Object Detection， 构建了全新的模型用于物体检测，师兄的这个组工作一直做得不错，赞一个！-The article from PROCEEDINGS, White Xiang et al published in 2012CVPR on, Fan Shape Model for Object Detection, build a new model for object detection,
feature_context
- 王兴刚和白翔合作发表的CVPR2011的文章， Feature Context for Object Detection and Image Classification，可以用于物体检测和图像的分类，用到了特征上下文，Feature Context-PROCEEDINGS and white Xiang cooperation the published CVPR2011 article Feature Context for Object Detection and Image Classi
fanshapeCVPR2012
- 一篇很新的英文文章，Fan Shape Model for Object Detection，提出了一个新的模型，正在学习当中，希望有所帮助-A new English articles Fan Shape Model for Object Detection, proposed a new model, hoping to help them are learning
Histograms-of-Sparse
- Histograms of Sparse Codes for Object Detection,cvpr文章-Histograms of Sparse Codes for Object Detection
fast-rcnn-master
- Fast Region-based Convolutional Networks for object detection. Fast R-CNN** is a fast framework for object detection with deep ConvNets. Fast R-CNN - trains state-of-the-art models, like VGG16, 9x faster than traditional R-CNN and 3x faster than
NatureDeepReview
- 深度学习允许由多个处理层组成的计算模型来学习具有多个抽象层次的数据表示。这些方法极大地提高了语音识别、视觉对象识别、目标检测以及药物发现和基因组学等许多领域的最新进展。深度学习发现复杂的结构在大数据集，通过使用反向传播算法来指示一台机器应该如何改变其内部参数，用于计算在每一层的代表性，从上一层的代表。深层卷积网在处理图像、视频、语音和音频方面取得了突破性进展，而递归网络则在文本和语音等连续数据上起到了作用。(Deep learning allows computational models th
RON-master
- RON目标检测算法，对于小尺度目标也具有较好的性能，需在linux下编译运行。(RON object detection algorithm)
HOG 代码.docx
- HOG 方向梯度直方图（Histogram of Oriented Gradient, HOG）特征是一种在计算机视觉和图像处理中用来进行物体检测的特征描述子(The Histogram of Oriented Gradient (HOG) feature is a feature descr iptor used for object detection in computer vision and image processing.)
Object Detection
- 采用Python语言，在pycharm运行平台下，实现对特定图片中特定物体的检测与提取。(Python language is used to realize the detection and extraction of specific objects in specific pictures on the platform of pycharm.)
yolo_tensorflow
- 基于YOLO的目标检测, 对十种物体进行识别和定位。(object detection based on YOLO, perform recognition and location to ten types of objects.)
Hi3516-objects-detection
- 从“我就是我”的开源工程下载的代码，详见压缩包中的读我说明(it is down form kapoo-pai's Git Project, look up the readme.md in zip file)
Intelligent-monitoring-platform
- 智能监控平台的网站服务基于Flask开源框架，图像识别与信息提取功能则基于cv2和tensorflow等一系列相关的第三方库。以网页的形式进行人脸识别、目标检测、目标跟踪等，并且可以存储相关的操作记录、用户登录、管理员登录(Intelligent monitoring platform's website service is based on Flask open source framework, while image recognition and information extract
object-detection-master
- 基于深度学习的目标检测方法，效果很好，可以进行学习(Object detection method based on deep learning)