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pedestrian-detection-master

于 2020-10-08 发布 文件大小:3036KB
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下载积分: 1 下载次数: 20

代码说明:

  行人检测,hog+svm,机器学习,简单二分类(hog+svm ,used for classified)

文件列表:

pedestrian-detection-master, 0 , 2016-06-15
pedestrian-detection-master\.gitignore, 19 , 2016-06-15
pedestrian-detection-master\README.md, 508 , 2016-06-15
pedestrian-detection-master\articles, 0 , 2016-06-15
pedestrian-detection-master\articles\discriminative_deep_model.pdf, 908947 , 2016-06-15
pedestrian-detection-master\articles\joint_deep.pdf, 852240 , 2016-06-15
pedestrian-detection-master\image-preproc, 0 , 2016-06-15
pedestrian-detection-master\image-preproc\cvt_rgb2yuv.py, 930 , 2016-06-15
pedestrian-detection-master\image-preproc\extract_kitti_negatives.py, 3402 , 2016-06-15
pedestrian-detection-master\image-preproc\extract_kitti_pedestrians.py, 4395 , 2016-06-15
pedestrian-detection-master\image-preproc\prepare_images.py, 5519 , 2016-06-15
pedestrian-detection-master\joint-deep, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\impl, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\dt.lua, 1782 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\init.lua, 2217 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\model.lua, 8759 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\nn-init, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\nn-init\layer2_bias.txt, 673 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\nn-init\layer2_kernels.txt, 165565 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\nn-init\layer4_bias.txt, 224 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\nn-init\layer4_kernels.txt, 424937 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\CaltechTest, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\CaltechTest\caltech_train.txt, 385167 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\CaltechTest\inria_train.txt, 389974 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\CaltechTest\kitti.txt, 385962 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\ETH, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\ETH\caltech_train.txt, 547017 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\ETH\inria_train.txt, 554551 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\ETH\kitti.txt, 544985 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test_example.lua, 3201 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\torch_extra.lua, 8441 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\train_example.lua, 4710 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\utils.lua, 478 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\extract_images_inria.m, 1336 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\extract_train_data.m, 871 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\get_images.m, 701 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\join_datasets.m, 1676 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\prepare_images.py, 2679 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\save_samples_to_mat.m, 1239 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\split_train_data.m, 630 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\write_data_to_file.m, 4858 , 2016-06-15
pedestrian-detection-master\joint-deep\res, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\res\All_datasets_ROCs_CaltechTest.png, 10533 , 2016-06-15
pedestrian-detection-master\joint-deep\res\All_datasets_ROCs_ETHTest.png, 9968 , 2016-06-15
pedestrian-detection-master\joint-deep\res\CaltechTest_ROCs_02_04_16_new1.png, 7741 , 2016-06-15
pedestrian-detection-master\joint-deep\res\CaltechTest_ROCs_05_04_16.png, 7785 , 2016-06-15
pedestrian-detection-master\joint-deep\res\CaltechTest_ROCs_09_04_16.png, 8878 , 2016-06-15
pedestrian-detection-master\joint-deep\res\ETH_ROCs_02_04_16_new1.png, 7503 , 2016-06-15
pedestrian-detection-master\joint-deep\res\ETH_ROCs_05_04_16.png, 7488 , 2016-06-15
pedestrian-detection-master\joint-deep\res\ETH_ROCs_09_04_16.png, 8416 , 2016-06-15
pedestrian-detection-master\joint-deep\test, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\test\dbEval_new_ETH_test.m, 26666 , 2016-06-15
pedestrian-detection-master\joint-deep\test\dbEval_new_all_test.m, 26585 , 2016-06-15
pedestrian-detection-master\joint-deep\test\test.m, 1223 , 2016-06-15
pedestrian-detection-master\joint-deep\test\testCNN_CaltechTest.m, 2224 , 2016-06-15
pedestrian-detection-master\joint-deep\test\testCNN_ETH.m, 3398 , 2016-06-15
pedestrian-detection-master\unsup-conv-net, 0 , 2016-06-15
pedestrian-detection-master\unsup-conv-net\model.lua, 1269 , 2016-06-15

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    设计了镜像滤波器opt_filter函数来实现子带分解与合成。取N=256, nbands=16,调用滤波器函数完成子带分解与合成(Mirror filters are designed to achieve opt_filter function subband decomposition and synthesis. Take N = 256, nbands = 16, call the filter function and achieve Synthesis Subband Decomposition)
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