yolo源代码

上传者: gshgsh1228 | 上传时间: 2019-12-21 19:48:35 | 文件大小: 175KB | 文件类型: zip
yolo算法源码文件

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<span style='color:#111;'> 1.87KB </span>","children":null,"spread":false},{"title":"matrix.c <span style='color:#111;'> 2.96KB </span>","children":null,"spread":false},{"title":"maxpool_layer.c <span style='color:#111;'> 3.66KB </span>","children":null,"spread":false},{"title":"softmax_layer.c <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false},{"title":"deconvolutional_layer.c <span style='color:#111;'> 5.79KB </span>","children":null,"spread":false},{"title":"server.h <span style='color:#111;'> 103B </span>","children":null,"spread":false},{"title":"convolutional_layer.h <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false},{"title":"data.h <span style='color:#111;'> 2.13KB </span>","children":null,"spread":false},{"title":"detection_layer.c <span style='color:#111;'> 8.13KB </span>","children":null,"spread":false},{"title":"softmax_layer_kernels.cu <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false},{"title":"blas.h <span style='color:#111;'> 2.75KB </span>","children":null,"spread":false},{"title":"connected_layer.h <span style='color:#111;'> 913B </span>","children":null,"spread":false},{"title":"yolo.c <span style='color:#111;'> 14.09KB </span>","children":null,"spread":false},{"title":"network.h <span style='color:#111;'> 2.88KB </span>","children":null,"spread":false},{"title":"params.h <span style='color:#111;'> 1B </span>","children":null,"spread":false},{"title":"compare.c <span style='color:#111;'> 10.59KB </span>","children":null,"spread":false},{"title":"connected_layer.c <span style='color:#111;'> 5.46KB </span>","children":null,"spread":false},{"title":"cost_layer.h <span style='color:#111;'> 606B </span>","children":null,"spread":false},{"title":"yolo_kernels.cu <span style='color:#111;'> 4.87KB </span>","children":null,"spread":false},{"title":"box.h <span style='color:#111;'> 477B </span>","children":null,"spread":false},{"title":"yolo.c~ <span style='color:#111;'> 14.09KB </span>","children":null,"spread":false},{"title":"classifier.c <span style='color:#111;'> 9.30KB </span>","children":null,"spread":false},{"title":"normalization_layer.c <span style='color:#111;'> 5.24KB </span>","children":null,"spread":false},{"title":"dropout_layer.c <span style='color:#111;'> 1.42KB </span>","children":null,"spread":false},{"title":"deconvolutional_kernels.cu <span style='color:#111;'> 3.83KB </span>","children":null,"spread":false},{"title":"swag.c <span style='color:#111;'> 2.56KB </span>","children":null,"spread":false},{"title":"activations.h <span style='color:#111;'> 1.88KB </span>","children":null,"spread":false},{"title":"imagenet.c <span style='color:#111;'> 6.84KB </span>","children":null,"spread":false},{"title":"captcha.c <span style='color:#111;'> 10.98KB </span>","children":null,"spread":false},{"title":"gemm.c <span style='color:#111;'> 7.89KB </span>","children":null,"spread":false},{"title":"detection_layer.h <span style='color:#111;'> 571B </span>","children":null,"spread":false},{"title":"col2im.c <span style='color:#111;'> 1.42KB </span>","children":null,"spread":false},{"title":"cost_layer.c <span style='color:#111;'> 2.76KB </span>","children":null,"spread":false},{"title":"stb_image.h <span style='color:#111;'> 215.17KB </span>","children":null,"spread":false},{"title":"coco.c <span style='color:#111;'> 14.79KB </span>","children":null,"spread":false},{"title":"cuda.h <span style='color:#111;'> 577B </span>","children":null,"spread":false},{"title":"crop_layer_kernels.cu <span style='color:#111;'> 6.52KB </span>","children":null,"spread":false},{"title":"convolutional_kernels.cu <span style='color:#111;'> 8.29KB </span>","children":null,"spread":false},{"title":"box.c <span style='color:#111;'> 7.27KB </span>","children":null,"spread":false},{"title":"crop_layer.h <span style='color:#111;'> 494B </span>","children":null,"spread":false},{"title":"gemm.h <span style='color:#111;'> 789B </span>","children":null,"spread":false},{"title":"image.c <span style='color:#111;'> 24.70KB </span>","children":null,"spread":false},{"title":"nightmare.c <span style='color:#111;'> 5.52KB </span>","children":null,"spread":false},{"title":"network_kernels.cu <span style='color:#111;'> 6.39KB </span>","children":null,"spread":false},{"title":"crop_layer.c <span style='color:#111;'> 2.10KB </span>","children":null,"spread":false},{"title":"activations.c <span style='color:#111;'> 2.64KB </span>","children":null,"spread":false},{"title":"cuda.c <span style='color:#111;'> 2.92KB </span>","children":null,"spread":false},{"title":"list.c <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"dice.c <span style='color:#111;'> 3.56KB </span>","children":null,"spread":false},{"title":"softmax_layer.h <span style='color:#111;'> 644B </span>","children":null,"spread":false},{"title":"route_layer.h <span style='color:#111;'> 474B </span>","children":null,"spread":false},{"title":"dropout_layer_kernels.cu <span style='color:#111;'> 1.24KB </span>","children":null,"spread":false},{"title":"utils.c <span style='color:#111;'> 9.76KB </span>","children":null,"spread":false},{"title":"data.c <span style='color:#111;'> 23.40KB </span>","children":null,"spread":false},{"title":"layer.c <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false},{"title":"stb_image_write.h <span style='color:#111;'> 25.05KB </span>","children":null,"spread":false},{"title":"network.c <span style='color:#111;'> 16.04KB </span>","children":null,"spread":false},{"title":"parser.h <span style='color:#111;'> 438B </span>","children":null,"spread":false},{"title":"writing.c <span style='color:#111;'> 4.42KB </span>","children":null,"spread":false},{"title":"normalization_layer.h <span style='color:#111;'> 690B </span>","children":null,"spread":false},{"title":"list.h <span style='color:#111;'> 388B </span>","children":null,"spread":false},{"title":"activation_kernels.cu <span style='color:#111;'> 3.55KB </span>","children":null,"spread":false},{"title":"local_layer.h <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"darknet.c <span style='color:#111;'> 7.47KB </span>","children":null,"spread":false},{"title":"utils.h <span style='color:#111;'> 1.66KB </span>","children":null,"spread":false},{"title":"image.h <span style='color:#111;'> 2.53KB </span>","children":null,"spread":false},{"title":"local_layer.c <span style='color:#111;'> 8.43KB </span>","children":null,"spread":false},{"title":"layer.h <span style='color:#111;'> 2.56KB </span>","children":null,"spread":false},{"title":"im2col.h <span style='color:#111;'> 331B </span>","children":null,"spread":false},{"title":"coco_kernels.cu <span style='color:#111;'> 4.15KB </span>","children":null,"spread":false},{"title":"im2col.c <span style='color:#111;'> 1.42KB </span>","children":null,"spread":false},{"title":"matrix.h <span style='color:#111;'> 441B </span>","children":null,"spread":false},{"title":"yolo_kernels.cu~ <span style='color:#111;'> 4.87KB </span>","children":null,"spread":false},{"title":"avgpool_layer.h <span style='color:#111;'> 638B </span>","children":null,"spread":false},{"title":"col2im_kernels.cu <span style='color:#111;'> 2.29KB </span>","children":null,"spread":false},{"title":"im2col_kernels.cu <span style='color:#111;'> 4.90KB </span>","children":null,"spread":false},{"title":"maxpool_layer.h <span style='color:#111;'> 680B </span>","children":null,"spread":false},{"title":"shortcut_layer.h <span style='color:#111;'> 483B </span>","children":null,"spread":false},{"title":"cpu_gemm.c <span style='color:#111;'> 2.28KB </span>","children":null,"spread":false},{"title":"parser.c <span style='color:#111;'> 24.27KB </span>","children":null,"spread":false},{"title":"route_layer.c <span style='color:#111;'> 2.58KB </span>","children":null,"spread":false},{"title":"deconvolutional_layer.h <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false},{"title":"option_list.c <span style='color:#111;'> 1.90KB </span>","children":null,"spread":false},{"title":"maxpool_layer_kernels.cu <span style='color:#111;'> 3.15KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

  • u013043349 :
    the code works! thank you!
    2019-09-12
  • Rune星川 :
    the code works! thank you!
    2019-09-12
  • ls010011 :
    非常好的资源,感谢分享!
    2018-05-13
  • ls010011 :
    非常好的资源,感谢分享!
    2018-05-13

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