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目标检测定位算法源码

于 2020-10-08 发布
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下载积分: 1 下载次数: 3

代码说明:

说明:  这个一个在目标检测中起定位作用的神经网络代码,不过这次我没有写使用教程,东西应该不难。(This is a neural network code that plays a role in target detection, but this time I did not write a tutorial, things should not be difficult.)

文件列表:

目标检测定位算法源码, 0 , 2020-10-08
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master, 0 , 2020-05-31
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\.gitignore, 1292 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\data_iterator_base, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\data_iterator_base\data_batch.py, 596 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\data_iterator_base\__init__.py, 0 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\data_provider_base, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\data_provider_base\base_data_adapter.py, 359 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\data_provider_base\base_provider.py, 748 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\data_provider_base\pickle_provider.py, 4102 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\data_provider_base\text_list_adapter.py, 1694 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\data_provider_base\__init__.py, 0 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\image_augmentation, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\image_augmentation\augmentor.py, 10362 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\image_augmentation\__init__.py, 0 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\inference_speed_eval, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\inference_speed_eval\inference_speed_eval_with_mxnet_cudnn.py, 4230 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\inference_speed_eval\inference_speed_eval_with_tensorrt_cudnn.py, 7265 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\inference_speed_eval\__init__.py, 0 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\logging_GOCD.py, 1877 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\loss_layer_farm, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\loss_layer_farm\cross_entropy_with_focal_loss_for_one_class_detection.py, 2669 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\loss_layer_farm\cross_entropy_with_hnm_for_one_class_detection.py, 3278 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\loss_layer_farm\mean_squared_error_with_hnm_for_one_class_detection.py, 2946 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\loss_layer_farm\mean_squared_error_with_ohem_for_one_class_detection.py, 1847 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\loss_layer_farm\__init__.py, 0 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\README.md, 950 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\solver_GOCD.py, 7990 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\train_GOCD.py, 2208 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\ChasingTrainFramework_GeneralOneClassDetection\__init__.py, 0 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\accuracy_evaluation, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\accuracy_evaluation\evaluation_on_fddb.py, 2413 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\accuracy_evaluation\evaluation_on_widerface.py, 2793 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\accuracy_evaluation\predict.py, 11095 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\caffemodel, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\caffemodel\configuration_10_320_20L_5scales_v2, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\caffemodel\configuration_10_320_20L_5scales_v2\symbol_10_320_20L_5scales_v2_deploy.prototxt, 16689 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\caffemodel\configuration_10_320_20L_5scales_v2\train_10_320_20L_5scales_v2_iter_1000000.caffemodel, 6092129 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\caffemodel\configuration_10_560_25L_8scales_v1, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\caffemodel\configuration_10_560_25L_8scales_v1\symbol_10_560_25L_8scales_v1_deploy.prototxt, 24297 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\caffemodel\configuration_10_560_25L_8scales_v1\train_10_560_25L_8scales_v1_iter_1400000.caffemodel, 9177047 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\caffemodel\predict_caffemodel.py, 9915 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\caffemodel\predict_caffemodel_v2.py, 9753 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\caffemodel\README.md, 960 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\config_farm, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\config_farm\configuration_10_320_20L_5scales_v2.py, 11676 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\config_farm\configuration_10_560_25L_8scales_v1.py, 11516 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\config_farm\__init__.py, 98 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\data_iterator_farm, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\data_iterator_farm\multithread_dataiter_for_cross_entropy_v1.py, 26241 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\data_iterator_farm\multithread_dataiter_for_cross_entropy_v2.py, 26206 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\data_iterator_farm\__init__.py, 0 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\data_provider_farm, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\data_provider_farm\pickle_provider.py, 4123 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\data_provider_farm\reformat_voc.py, 6033 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\data_provider_farm\reformat_WIDERFACE.py, 6128 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\data_provider_farm\text_list_adapter.py, 1711 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\demo, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\demo\demo.py, 6442 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\deploy_tensorrt, 0 , 2020-05-22
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\deploy_tensorrt\debug_image, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\deploy_tensorrt\debug_image\test1.jpg, 51437 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\deploy_tensorrt\debug_image\test2.jpg, 47380 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\deploy_tensorrt\debug_image\test3.jpg, 48246 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\deploy_tensorrt\debug_image\test5.jpg, 53234 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\deploy_tensorrt\debug_image\test6.jpg, 37664 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\deploy_tensorrt\predict_tensorrt.py, 13785 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\deploy_tensorrt\README.md, 887 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\deploy_tensorrt\test.py, 322 , 2020-05-22
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\deploy_tensorrt\to_onnx.py, 1281 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\inference_speed_evaluation, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\inference_speed_evaluation\inference_speed_eval.py, 1209 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\inference_speed_evaluation\README.md, 919 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\metric_farm, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\metric_farm\metric_default.py, 1800 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\metric_farm\__init__.py, 0 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\qualitative_results, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\qualitative_results\v1_qualitative_1.jpg, 286723 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\qualitative_results\v1_qualitative_2.jpg, 265694 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\qualitative_results\v1_qualitative_3.jpg, 197624 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\qualitative_results\v1_qualitative_4.jpg, 257316 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\qualitative_results\v1_qualitative_5.jpg, 166773 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\README.md, 11058 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\saved_model, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\saved_model\configuration_10_320_20L_5scales_v2, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\saved_model\configuration_10_320_20L_5scales_v2\train_10_320_20L_5scales_v2_iter_1000000.params, 6088868 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\saved_model\configuration_10_560_25L_8scales_v1, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\saved_model\configuration_10_560_25L_8scales_v1\train_10_560_25L_8scales_v1_iter_1400000.params, 9171788 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\symbol_farm, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\symbol_farm\symbol_10_320_20L_5scales_v2.py, 20809 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\symbol_farm\symbol_10_320_20L_5scales_v2_deploy.json, 42802 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\symbol_farm\symbol_10_560_25L_8scales_v1.py, 25851 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\symbol_farm\symbol_10_560_25L_8scales_v1_deploy.json, 61934 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\symbol_farm\symbol_structures.xlsx, 17888 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\face_detection\symbol_farm\__init__.py, 97 , 2020-03-28
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\head_detection, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\head_detection\accuracy_evaluation, 0 , 2020-05-19
目标检测定位算法源码\A-Light-and-Fast-Face-Detector-for-Edge-Devices-master\head_detection\accuracy_evaluation\evaluation_on_brainwash.py, 4332 , 2020-03-28

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0 个回复

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    Retinex算法,用于图像增强。 包括全局域retinex 局部域SSR、MSR、MSRCR(Retinex algorithm for image enhancement. Including full local retinex local domain SSR, MSR, MSRCR)
    2015-05-11 16:13:07下载
    积分:1
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    模式识别中运用ICA进行特征提取的matlab代码(Pattern Recognition in the use of ICA for feature extraction matlab code)
    2009-03-06 17:08:25下载
    积分:1
  • Compression-sensing
    压缩传感理论,用K-SVD算法训练字典,过完备字典(Compression sensing theory, SVD algorithm with K- had complete training dictionary, dictionary)
    2011-05-18 15:57:31下载
    积分:1
  • DCTDigitalwatermarkingsource
    DCT水印源码 整理自lufei的水印代码 不可见数字水印(DCT watermark since finishing lufei source code is not visible watermark digital watermarking)
    2007-11-23 15:26:42下载
    积分:1
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    关于MC三维重建算法的二义性消除的文章,很好的消除了MC算法中的二义性(it s the article about Three-dimensional reconstruction algorithm to eliminate ambiguity in MC)
    2014-01-17 13:19:26下载
    积分:1
  • kuaisutisheng
    针对CT 医学图像和MR I 医学图像成像特点, 提出了基于快速整数提升小波变换的融合方法。在CT 和 MR I 两幅医学图像配准的前提下, 利用提升小波变换把图像分解成低频和高频子图像, 对于小波变换后的高频 子图像, 选择区域标准差大的作为融合后的子图像 对于低频子图像, 采用加权融合, 最后进行小波逆变换, 得到 融合后的图像, 并对融合后图像用信息熵、平均梯度、相关系数的指标进行评价。实验结果表明, 基于快速整数提 升小波变换融合中, 小波高低频系数采用不同的规则能够取得更好的融合效果, 其轮廓清晰。该算法能够提升融 合后的医学图像信息量, 同时有效地保护图像的细节信息, 在执行时间和图像质量上均优于普通小波算法。(A imed at the characterist ics of CT andMR Imedical images, a new image fu sion al2 go rithm based on the fast in t lif t ing w avelet t ran sfo rm s is p ropo sed. Two o riginal images are decompo sed by the fast in t lif t ing w avelet t ran sfo rm s. The fu sion ru le based on the max imum standard deviat ion value variance is u sed to fu se the h igh f requency sub2image, w h ile a w eigh t2 ed average fu sed ru le is app lied by coeff icien t s of the low f requency. F inally, the fu sion image is recon st ructed fo r perfo rm ing inverse fast in t lif t ing w avelet t ran sfo rm s. The fu sion image is evaluated by en t ropy, average gradien t, and co rrelat ion coeff icien t s. Experimen tal resu lt show s that the fu sion image hasmo re info rmat ion than o riginal images and imp roves the quali2 ty of o riginal images. M eanw h ile, the fu sion image p ro tect s detail characterist ics of the image, thu s the real2t ime p rocess and image qualit ies are w ell than tha)
    2021-04-21 10:18:49下载
    积分:1
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    2020-12-05 02:59:23下载
    积分:1
  • CT_code_v0
    2012年的压缩感知跟踪算法,修改了部分程序源码,可以运行。(2012 of compressed sensing tracking algorithm, modify some program source code, you can run.)
    2013-10-10 08:35:43下载
    积分:1
  • DICOMViewer
    说明:  一个非常简小灵便的DICOM文件阅读器,支持多种格式的文件,支持图片的大多数编辑功能。(A very simple and handy DICOM file reader supports multiple formats of files and most editing functions of pictures.)
    2020-06-18 07:20:01下载
    积分:1
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