搜索资源列表
voc_label
- 将VOC数据集xml格式的标注文件转化为YOLO网络的输入格式。-Convert the label file of VOC data set xml format into the input format of YOLO network.
darknet
- 神经网络引入后，检测框架变得更快更准确。然而，大多数检测方法受限于少量物体。检测和训练数据上联合训练物体检测器，用有标签的检测图像来学习精确定位，同时用分类图像来增加词汇和鲁棒性。原YOLO系统上生成YOLOv2检测器；在ImageNet中超过9000类的数据和COCO的检测数据上，合并数据集和联合训练YOLO9-After the neural network is introduced, it is becoming faster
voc_label
- yolo网络标签生成程序，读取xml文件并生成对应的txt标签文件-Yolo network tag generation program, read xml file and generate the corresponding txt tag file
YOLO
- 机票预定系统，java语言，所用数据路为access，希望对你有用。-Ticket reservation system, java language, the data path to access, want to be useful.
date.c
- yolo yolo yolo v yolo yolo yolo yolo yolo yolo yolo yolo yolo yolo yolo yolo yolo yolo yolovyolo yolo yolo-yolo yolo yoloyolo yolo v yolo yolo yolo yolo yolo yolo yolo yolo yolo yolo yolo yolo yolo yolo yolovyolo yolo yo
YOLO_tensorflow-master
- 基于TensorFlow平台下的YOLO算法，可用于目标检测(YOLO algorithm based on TensorFlow platform, which can be used for target detection)
YOLO-master
- yolo算法的caffe实现，在darknet框架下，基于UNIX平台(Yolo algorithm Caffe implementation, in the Darknet fr a mework, based on the UNIX platform)
darknet-master_20170303.tar
- 帅选出人体,yolo人员检测，yolo模型，并识别(peole detect and get the pix point of it ,)
code
- 以常见的监控摄像头的实时视频信号为输入采用基于神经网络的YOLO目标检测算法进行检测与特征提取，最后利用自己的多目标追踪算法实现人流量统计和目标对象保存(Taking the real-time video signal of the surveillance camera as the input, the YOLO target detection algorithm based on the neural network is u
yolo_tensorflow-master
- tensorflow 开发的 object detection 源码(A tensorflow based object detection code)
basic-yolo-keras-master
- yolo的keras实现。主要通过使用keras框架，来实现yolo下的目标检测任务。(Keras implementation of yolo. The target detection task under Yolo is realized mainly by using keras fr a mework.)
k_means
- 深度学习yolo通过k_means算法初始化anchor，只要修改图片大小和训练图片路径以及个数即可。(Deep learning Yolo initializes the anchor through k_means algorithm, as long as the size of the picture and the training picture path and number can be.)
project_2_traffic_sign_classifier
- Python object detection based on yolo
project_2_traffic_sign_classifier
- Python object detection based on yolo
project_5_vehicle_detection
- Advanced vehicle detection with yolo object
openpose-master
- 一种目标检测算法的论文，可以保证实时性，并且检测率非常的高(A paper of target detection algorithm can guarantee real-time performance.)
darknet-master
- 包含YOLO，YOLOv2，YOLOv3，VGG，Resnet，imagenet等多个深度学习模型。(It includes several deep learning models such as YOLO, YOLOv2, YOLOv3, VGG, Resnet, Imagenet and so on.)
pytorch-yolo-v3-master
- 物体检测包YOLOV3，Pytorch实现，只需OPENCV和pytorch就可以实现objection detection(Object detection package YOLOV3, Pytorch implementation, only OPENCV and pytorch can achieve objection detection)
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
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.)