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
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
rcnn-depth-master
- datasets for edge detection
caffe-fast-rcnn
- 目标检测的caffe框架源码包 src tools - Target detection caffe framework source package
py-faster-rcnn-master
- This an article on the depth of learning R-CNN article code, only for white learning-This is an article on the depth of learning R-CNN article code, only for white learning
cnn
- 基于MATLAB的RCNN卷积神经网络例程，非常适合新手入门的例程程序，值得拥有！- U57FA u4E8EMATLAB u7684RCNN u5377 u79EF u795E u7ECF u7F51 u7EDC u7A0B uFF0C u975E u5E38 u9002 u5408 UFF0C u503C u5F97 u62E5 u6709 uFF01
mscnn-master
- MSCNN多尺度rcnn的目标检测代码，可以实现多尺度的目标检测，具有多尺度的感受野(MSCNN multi-scale RCNN target detection code)
cascadeCNN_license_plate_detection-master
- 很好的一个车牌检测程序,检测率很高，快速卷积神经网络SoftwareMatlab R2016b Matlab R2016b(plate lisence detectionMatlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset : http:/
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)
Faster-RCNN_TF-master (2)
- 机器学习 关于 faster r-cnn 进行object detection(This is an experimental Tensorflow implementation of Faster RCNN - a convnet for object detection with a region proposal network. For details about R-CNN please refer to the paper Faster R-CNN: Towards Real-Tim
faster_rcnn
- windows下faster_RCNN 方法用训练好的model进行目标检测的测试工程(under OS Windows , use the faster_RCNN method with a trained model for the target test of the test project)
rcnn-master
- 残差网络模型,通过将原始输入直接通过桥梁输送到后面的几层，减少梯度弥散(The residual network model reduces the gradient dispersion by transmitting the original input directly through the bridge to the latter layers)
EAST-场景文字检测
- 使用当前最热门的rcnn卷积神经网络检测自然场景下文字。(Use the most popular rcnn convolution neural network to detect text in natural scenes.)
py-faster-rcnn-master
- fast-rcnn源码,可用于快速目标检测，如行人识别 车辆识别 车标识别(This is an sourcecode for python fast-rcnn)
rcnn.tar
- 物体检测经典算法rcnn的实现，基于caffe平台(Object Detection algorithm RCNN implementation, based on caffe platform)
mask rcnn
- 跑通的Mask rcnn图像检测，深度神经网络人工智能，检测准确度高(Deep neural network High detection accuracy, including trained data)
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)
Mask_RCNN
- mask-rcnn源代码，基于深度学习的图像识别算法(mask-rcnn source code)