- Category:
- AI-NN-PR
- Tags:
-
[Matlab]
[源码]
- File Size:
- 284kb
- Update:
- 2016-02-27
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Description: 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 SPPnet,
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fast-rcnn-master
................\.gitignore
................\.gitmodules
................\LICENSE
................\README.md
................\caffe-fast-rcnn
................\data
................\....\.gitignore
................\....\README.md
................\....\demo
................\....\....\000004.jpg
................\....\....\000004_boxes.mat
................\....\....\001551.jpg
................\....\....\001551_boxes.mat
................\....\pylintrc
................\....\scripts
................\....\.......\fetch_fast_rcnn_models.sh
................\....\.......\fetch_imagenet_models.sh
................\....\.......\fetch_selective_search_data.sh
................\experiments
................\...........\README.md
................\...........\cfgs
................\...........\....\fc_only.yml
................\...........\....\multiscale.yml
................\...........\....\no_bbox_reg.yml
................\...........\....\piecewise.yml
................\...........\....\svm.yml
................\...........\logs
................\...........\....\.gitignore
................\...........\scripts
................\...........\.......\all_caffenet.sh
................\...........\.......\all_vgg16.sh
................\...........\.......\all_vgg_cnn_m_1024.sh
................\...........\.......\default_caffenet.sh
................\...........\.......\default_vgg16.sh
................\...........\.......\default_vgg_cnn_m_1024.sh
................\...........\.......\fc_only_vgg16.sh
................\...........\.......\multiscale_caffenet.sh
................\...........\.......\multiscale_vgg_cnn_m_1024.sh
................\...........\.......\multitask_no_bbox_reg_caffenet.sh
................\...........\.......\multitask_no_bbox_reg_vgg16.sh
................\...........\.......\multitask_no_bbox_reg_vgg_cnn_m_1024.sh
................\...........\.......\no_bbox_reg_caffenet.sh
................\...........\.......\no_bbox_reg_vgg16.sh
................\...........\.......\no_bbox_reg_vgg_cnn_m_1024.sh
................\...........\.......\piecewise_caffenet.sh
................\...........\.......\piecewise_vgg16.sh
................\...........\.......\piecewise_vgg_cnn_m_1024.sh
................\...........\.......\svd_caffenet.sh
................\...........\.......\svd_vgg16.sh
................\...........\.......\svd_vgg_cnn_m_1024.sh
................\...........\.......\svm_caffenet.sh
................\...........\.......\svm_vgg16.sh
................\...........\.......\svm_vgg_cnn_m_1024.sh
................\lib
................\...\Makefile
................\...\datasets
................\...\........\VOCdevkit-matlab-wrapper
................\...\........\........................\get_voc_opts.m
................\...\........\........................\voc_eval.m
................\...\........\........................\xVOCap.m
................\...\........\__init__.py
................\...\........\factory.py
................\...\........\imdb.py
................\...\........\pascal_voc.py
................\...\fast_rcnn
................\...\.........\__init__.py
................\...\.........\config.py
................\...\.........\test.py
................\...\.........\train.py
................\...\roi_data_layer
................\...\..............\__init__.py
................\...\..............\layer.py
................\...\..............\minibatch.py
................\...\..............\roidb.py
................\...\setup.py
................\...\utils
................\...\.....\.gitignore
................\...\.....\__init__.py
................\...\.....\bbox.pyx
................\...\.....\blob.py
................\...\.....\nms.py
................\...\.....\nms.pyx
................\...\.....\timer.py
................\matlab
................\......\README.md
................\......\fast_rcnn_demo.m
................\......\fast_rcnn_im_detect.m
................\......\fast_rcnn_load_net.m
................\......\nms.m
................\......\showboxes.m
................\models
................\......\CaffeNet
......
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