CV之detectron2:detectron2安装过程记录

简介: CV之detectron2:detectron2安装过程记录

detectron2安装记录

Microsoft Windows [版本 10.0.14393]

(c) 2016 Microsoft Corporation。保留所有权利。

F:\File_Python\Python_example\detectron2-master>python setup.py build develop

No CUDA runtime is found, using CUDA_HOME='D:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0'

running build

running build_py

creating build

creating build\lib.win-amd64-3.6

creating build\lib.win-amd64-3.6\detectron2

copying detectron2\__init__.py -> build\lib.win-amd64-3.6\detectron2

creating build\lib.win-amd64-3.6\detectron2\checkpoint

copying detectron2\checkpoint\c2_model_loading.py -> build\lib.win-amd64-3.6\detectron2\checkpoint

copying detectron2\checkpoint\catalog.py -> build\lib.win-amd64-3.6\detectron2\checkpoint

copying detectron2\checkpoint\detection_checkpoint.py -> build\lib.win-amd64-3.6\detectron2\checkpoint

copying detectron2\checkpoint\__init__.py -> build\lib.win-amd64-3.6\detectron2\checkpoint

creating build\lib.win-amd64-3.6\detectron2\config

copying detectron2\config\compat.py -> build\lib.win-amd64-3.6\detectron2\config

copying detectron2\config\config.py -> build\lib.win-amd64-3.6\detectron2\config

copying detectron2\config\defaults.py -> build\lib.win-amd64-3.6\detectron2\config

copying detectron2\config\__init__.py -> build\lib.win-amd64-3.6\detectron2\config

creating build\lib.win-amd64-3.6\detectron2\data

copying detectron2\data\build.py -> build\lib.win-amd64-3.6\detectron2\data

copying detectron2\data\catalog.py -> build\lib.win-amd64-3.6\detectron2\data

copying detectron2\data\common.py -> build\lib.win-amd64-3.6\detectron2\data

copying detectron2\data\dataset_mapper.py -> build\lib.win-amd64-3.6\detectron2\data

copying detectron2\data\detection_utils.py -> build\lib.win-amd64-3.6\detectron2\data

copying detectron2\data\__init__.py -> build\lib.win-amd64-3.6\detectron2\data

creating build\lib.win-amd64-3.6\detectron2\engine

copying detectron2\engine\defaults.py -> build\lib.win-amd64-3.6\detectron2\engine

copying detectron2\engine\hooks.py -> build\lib.win-amd64-3.6\detectron2\engine

copying detectron2\engine\launch.py -> build\lib.win-amd64-3.6\detectron2\engine

copying detectron2\engine\train_loop.py -> build\lib.win-amd64-3.6\detectron2\engine

copying detectron2\engine\__init__.py -> build\lib.win-amd64-3.6\detectron2\engine

creating build\lib.win-amd64-3.6\detectron2\evaluation

copying detectron2\evaluation\cityscapes_evaluation.py -> build\lib.win-amd64-3.6\detectron2\evaluation

copying detectron2\evaluation\coco_evaluation.py -> build\lib.win-amd64-3.6\detectron2\evaluation

copying detectron2\evaluation\evaluator.py -> build\lib.win-amd64-3.6\detectron2\evaluation

copying detectron2\evaluation\lvis_evaluation.py -> build\lib.win-amd64-3.6\detectron2\evaluation

copying detectron2\evaluation\panoptic_evaluation.py -> build\lib.win-amd64-3.6\detectron2\evaluation

copying detectron2\evaluation\pascal_voc_evaluation.py -> build\lib.win-amd64-3.6\detectron2\evaluation

copying detectron2\evaluation\sem_seg_evaluation.py -> build\lib.win-amd64-3.6\detectron2\evaluation

copying detectron2\evaluation\testing.py -> build\lib.win-amd64-3.6\detectron2\evaluation

copying detectron2\evaluation\__init__.py -> build\lib.win-amd64-3.6\detectron2\evaluation

creating build\lib.win-amd64-3.6\detectron2\export

copying detectron2\export\api.py -> build\lib.win-amd64-3.6\detectron2\export

copying detectron2\export\c10.py -> build\lib.win-amd64-3.6\detectron2\export

copying detectron2\export\caffe2_export.py -> build\lib.win-amd64-3.6\detectron2\export

copying detectron2\export\caffe2_inference.py -> build\lib.win-amd64-3.6\detectron2\export

copying detectron2\export\caffe2_modeling.py -> build\lib.win-amd64-3.6\detectron2\export

copying detectron2\export\patcher.py -> build\lib.win-amd64-3.6\detectron2\export

copying detectron2\export\shared.py -> build\lib.win-amd64-3.6\detectron2\export

copying detectron2\export\__init__.py -> build\lib.win-amd64-3.6\detectron2\export

creating build\lib.win-amd64-3.6\detectron2\layers

copying detectron2\layers\batch_norm.py -> build\lib.win-amd64-3.6\detectron2\layers

copying detectron2\layers\deform_conv.py -> build\lib.win-amd64-3.6\detectron2\layers

copying detectron2\layers\mask_ops.py -> build\lib.win-amd64-3.6\detectron2\layers

copying detectron2\layers\nms.py -> build\lib.win-amd64-3.6\detectron2\layers

copying detectron2\layers\roi_align.py -> build\lib.win-amd64-3.6\detectron2\layers

copying detectron2\layers\roi_align_rotated.py -> build\lib.win-amd64-3.6\detectron2\layers

copying detectron2\layers\rotated_boxes.py -> build\lib.win-amd64-3.6\detectron2\layers

copying detectron2\layers\shape_spec.py -> build\lib.win-amd64-3.6\detectron2\layers

copying detectron2\layers\wrappers.py -> build\lib.win-amd64-3.6\detectron2\layers

copying detectron2\layers\__init__.py -> build\lib.win-amd64-3.6\detectron2\layers

creating build\lib.win-amd64-3.6\detectron2\modeling

copying detectron2\modeling\anchor_generator.py -> build\lib.win-amd64-3.6\detectron2\modeling

copying detectron2\modeling\box_regression.py -> build\lib.win-amd64-3.6\detectron2\modeling

copying detectron2\modeling\matcher.py -> build\lib.win-amd64-3.6\detectron2\modeling

copying detectron2\modeling\poolers.py -> build\lib.win-amd64-3.6\detectron2\modeling

copying detectron2\modeling\postprocessing.py -> build\lib.win-amd64-3.6\detectron2\modeling

copying detectron2\modeling\sampling.py -> build\lib.win-amd64-3.6\detectron2\modeling

copying detectron2\modeling\test_time_augmentation.py -> build\lib.win-amd64-3.6\detectron2\modeling

copying detectron2\modeling\__init__.py -> build\lib.win-amd64-3.6\detectron2\modeling

creating build\lib.win-amd64-3.6\detectron2\model_zoo

copying detectron2\model_zoo\model_zoo.py -> build\lib.win-amd64-3.6\detectron2\model_zoo

copying detectron2\model_zoo\__init__.py -> build\lib.win-amd64-3.6\detectron2\model_zoo

creating build\lib.win-amd64-3.6\detectron2\solver

copying detectron2\solver\build.py -> build\lib.win-amd64-3.6\detectron2\solver

copying detectron2\solver\lr_scheduler.py -> build\lib.win-amd64-3.6\detectron2\solver

copying detectron2\solver\__init__.py -> build\lib.win-amd64-3.6\detectron2\solver

creating build\lib.win-amd64-3.6\detectron2\structures

copying detectron2\structures\boxes.py -> build\lib.win-amd64-3.6\detectron2\structures

copying detectron2\structures\image_list.py -> build\lib.win-amd64-3.6\detectron2\structures

copying detectron2\structures\instances.py -> build\lib.win-amd64-3.6\detectron2\structures

copying detectron2\structures\keypoints.py -> build\lib.win-amd64-3.6\detectron2\structures

copying detectron2\structures\masks.py -> build\lib.win-amd64-3.6\detectron2\structures

copying detectron2\structures\rotated_boxes.py -> build\lib.win-amd64-3.6\detectron2\structures

copying detectron2\structures\__init__.py -> build\lib.win-amd64-3.6\detectron2\structures

creating build\lib.win-amd64-3.6\detectron2\utils

copying detectron2\utils\collect_env.py -> build\lib.win-amd64-3.6\detectron2\utils

copying detectron2\utils\colormap.py -> build\lib.win-amd64-3.6\detectron2\utils

copying detectron2\utils\comm.py -> build\lib.win-amd64-3.6\detectron2\utils

copying detectron2\utils\env.py -> build\lib.win-amd64-3.6\detectron2\utils

copying detectron2\utils\events.py -> build\lib.win-amd64-3.6\detectron2\utils

copying detectron2\utils\logger.py -> build\lib.win-amd64-3.6\detectron2\utils

copying detectron2\utils\memory.py -> build\lib.win-amd64-3.6\detectron2\utils

copying detectron2\utils\registry.py -> build\lib.win-amd64-3.6\detectron2\utils

copying detectron2\utils\serialize.py -> build\lib.win-amd64-3.6\detectron2\utils

copying detectron2\utils\video_visualizer.py -> build\lib.win-amd64-3.6\detectron2\utils

copying detectron2\utils\visualizer.py -> build\lib.win-amd64-3.6\detectron2\utils

copying detectron2\utils\__init__.py -> build\lib.win-amd64-3.6\detectron2\utils

creating build\lib.win-amd64-3.6\detectron2\data\datasets

copying detectron2\data\datasets\builtin.py -> build\lib.win-amd64-3.6\detectron2\data\datasets

copying detectron2\data\datasets\builtin_meta.py -> build\lib.win-amd64-3.6\detectron2\data\datasets

copying detectron2\data\datasets\cityscapes.py -> build\lib.win-amd64-3.6\detectron2\data\datasets

copying detectron2\data\datasets\coco.py -> build\lib.win-amd64-3.6\detectron2\data\datasets

copying detectron2\data\datasets\lvis.py -> build\lib.win-amd64-3.6\detectron2\data\datasets

copying detectron2\data\datasets\lvis_v0_5_categories.py -> build\lib.win-amd64-3.6\detectron2\data\datasets

copying detectron2\data\datasets\pascal_voc.py -> build\lib.win-amd64-3.6\detectron2\data\datasets

copying detectron2\data\datasets\register_coco.py -> build\lib.win-amd64-3.6\detectron2\data\datasets

copying detectron2\data\datasets\__init__.py -> build\lib.win-amd64-3.6\detectron2\data\datasets

creating build\lib.win-amd64-3.6\detectron2\data\samplers

copying detectron2\data\samplers\distributed_sampler.py -> build\lib.win-amd64-3.6\detectron2\data\samplers

copying detectron2\data\samplers\grouped_batch_sampler.py -> build\lib.win-amd64-3.6\detectron2\data\samplers

copying detectron2\data\samplers\__init__.py -> build\lib.win-amd64-3.6\detectron2\data\samplers

creating build\lib.win-amd64-3.6\detectron2\data\transforms

copying detectron2\data\transforms\transform.py -> build\lib.win-amd64-3.6\detectron2\data\transforms

copying detectron2\data\transforms\transform_gen.py -> build\lib.win-amd64-3.6\detectron2\data\transforms

copying detectron2\data\transforms\__init__.py -> build\lib.win-amd64-3.6\detectron2\data\transforms

creating build\lib.win-amd64-3.6\detectron2\modeling\backbone

copying detectron2\modeling\backbone\backbone.py -> build\lib.win-amd64-3.6\detectron2\modeling\backbone

copying detectron2\modeling\backbone\build.py -> build\lib.win-amd64-3.6\detectron2\modeling\backbone

copying detectron2\modeling\backbone\fpn.py -> build\lib.win-amd64-3.6\detectron2\modeling\backbone

copying detectron2\modeling\backbone\resnet.py -> build\lib.win-amd64-3.6\detectron2\modeling\backbone

copying detectron2\modeling\backbone\__init__.py -> build\lib.win-amd64-3.6\detectron2\modeling\backbone

creating build\lib.win-amd64-3.6\detectron2\modeling\meta_arch

copying detectron2\modeling\meta_arch\build.py -> build\lib.win-amd64-3.6\detectron2\modeling\meta_arch

copying detectron2\modeling\meta_arch\panoptic_fpn.py -> build\lib.win-amd64-3.6\detectron2\modeling\meta_arch

copying detectron2\modeling\meta_arch\rcnn.py -> build\lib.win-amd64-3.6\detectron2\modeling\meta_arch

copying detectron2\modeling\meta_arch\retinanet.py -> build\lib.win-amd64-3.6\detectron2\modeling\meta_arch

copying detectron2\modeling\meta_arch\semantic_seg.py -> build\lib.win-amd64-3.6\detectron2\modeling\meta_arch

copying detectron2\modeling\meta_arch\__init__.py -> build\lib.win-amd64-3.6\detectron2\modeling\meta_arch

creating build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator

copying detectron2\modeling\proposal_generator\build.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator

copying detectron2\modeling\proposal_generator\proposal_utils.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator

copying detectron2\modeling\proposal_generator\rpn.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator

copying detectron2\modeling\proposal_generator\rpn_outputs.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator

copying detectron2\modeling\proposal_generator\rrpn.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator

copying detectron2\modeling\proposal_generator\rrpn_outputs.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator

copying detectron2\modeling\proposal_generator\__init__.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator

creating build\lib.win-amd64-3.6\detectron2\modeling\roi_heads

copying detectron2\modeling\roi_heads\box_head.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads

copying detectron2\modeling\roi_heads\cascade_rcnn.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads

copying detectron2\modeling\roi_heads\fast_rcnn.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads

copying detectron2\modeling\roi_heads\keypoint_head.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads

copying detectron2\modeling\roi_heads\mask_head.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads

copying detectron2\modeling\roi_heads\roi_heads.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads

copying detectron2\modeling\roi_heads\rotated_fast_rcnn.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads

copying detectron2\modeling\roi_heads\__init__.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads

creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs

copying detectron2\model_zoo\configs\Base-RCNN-C4.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs

copying detectron2\model_zoo\configs\Base-RCNN-DilatedC5.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs

copying detectron2\model_zoo\configs\Base-RCNN-FPN.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs

copying detectron2\model_zoo\configs\Base-RetinaNet.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs

creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\Cityscapes

copying detectron2\model_zoo\configs\Cityscapes\mask_rcnn_R_50_FPN.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\Cityscapes

creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_101_C4_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_101_DC5_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_101_FPN_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_50_C4_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_50_C4_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_50_DC5_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_50_DC5_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_50_FPN_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_X_101_32x8d_FPN_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\fast_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\retinanet_R_101_FPN_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\retinanet_R_50_FPN_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\retinanet_R_50_FPN_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\rpn_R_50_C4_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

copying detectron2\model_zoo\configs\COCO-Detection\rpn_R_50_FPN_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection

creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-InstanceSegmentation

copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_101_C4_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-InstanceSegmentation

copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_101_DC5_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-InstanceSegmentation

copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_101_FPN_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-InstanceSegmentation

copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_C4_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-InstanceSegmentation

copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_C4_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-InstanceSegmentation

copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_DC5_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-InstanceSegmentation

copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_DC5_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-InstanceSegmentation

copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-InstanceSegmentation

copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_FPN_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-InstanceSegmentation

copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_X_101_32x8d_FPN_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-InstanceSegmentation

creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Keypoints

copying detectron2\model_zoo\configs\COCO-Keypoints\Base-Keypoint-RCNN-FPN.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Keypoints

copying detectron2\model_zoo\configs\COCO-Keypoints\keypoint_rcnn_R_101_FPN_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Keypoints

copying detectron2\model_zoo\configs\COCO-Keypoints\keypoint_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Keypoints

copying detectron2\model_zoo\configs\COCO-Keypoints\keypoint_rcnn_R_50_FPN_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Keypoints

copying detectron2\model_zoo\configs\COCO-Keypoints\keypoint_rcnn_X_101_32x8d_FPN_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Keypoints

creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-PanopticSegmentation

copying detectron2\model_zoo\configs\COCO-PanopticSegmentation\Base-Panoptic-FPN.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-PanopticSegmentation

copying detectron2\model_zoo\configs\COCO-PanopticSegmentation\panoptic_fpn_R_101_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-PanopticSegmentation

copying detectron2\model_zoo\configs\COCO-PanopticSegmentation\panoptic_fpn_R_50_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-PanopticSegmentation

copying detectron2\model_zoo\configs\COCO-PanopticSegmentation\panoptic_fpn_R_50_3x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-PanopticSegmentation

creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\Detectron1-Comparisons

copying detectron2\model_zoo\configs\Detectron1-Comparisons\faster_rcnn_R_50_FPN_noaug_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\Detectron1-Comparisons

copying detectron2\model_zoo\configs\Detectron1-Comparisons\keypoint_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\Detectron1-Comparisons

copying detectron2\model_zoo\configs\Detectron1-Comparisons\mask_rcnn_R_50_FPN_noaug_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\Detectron1-Comparisons

creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\LVIS-InstanceSegmentation

copying detectron2\model_zoo\configs\LVIS-InstanceSegmentation\mask_rcnn_R_101_FPN_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\LVIS-InstanceSegmentation

copying detectron2\model_zoo\configs\LVIS-InstanceSegmentation\mask_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\LVIS-InstanceSegmentation

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F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(406): note: 参见对正在编译的函数 模板  实例化“bool c10::Converter<To,From,void>::operator ()(From)”的引用

       with

       [

           To=bool,

           From=double

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(406): note: 参见对正在编译的类 模板 实 例化“c10::Converter<To,From,void>”的引用

       with

       [

           To=bool,

           From=double

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(503): note: 参见对正在编译的函数 模板  实例化“To c10::convert<To,From>(From)”的引用

       with

       [

           To=bool,

           From=double

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/core/Scalar.h(72): note: 参见对正在编译的函数 模板 实例化“To c10::checked_convert<bool,double>(From,const char *)”的引用

       with

       [

           To=bool,

           From=double

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(400): warning C4244: “参数”: 从“int64_t”转换到“const std::complex<double>::_Ty”,可能丢失数据

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(399): note: 编译类 模板 成员函数“std::complex<double> c10::Converter<To,From,void>::operator ()(From)”时

       with

       [

           To=std::complex<double>,

           From=int64_t

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(406): note: 参见对正在编译的函数 模板  实例化“std::complex<double> c10::Converter<To,From,void>::operator ()(From)”的引用

       with

       [

           To=std::complex<double>,

           From=int64_t

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(406): note: 参见对正在编译的类 模板 实 例化“c10::Converter<To,From,void>”的引用

       with

       [

           To=std::complex<double>,

           From=int64_t

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(503): note: 参见对正在编译的函数 模板  实例化“To c10::convert<To,From>(From)”的引用

       with

       [

           To=std::complex<double>,

           From=int64_t

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/core/Scalar.h(72): note: 参见对正在编译的函数 模板 实例化“To c10::checked_convert<std::complex<double>,int64_t>(From,const char *)”的引用

       with

       [

           To=std::complex<double>,

           From=int64_t

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(400): warning C4244: “参数”: 从“int64_t”转换到“const std::complex<float>::_Ty”,可能丢失数据

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(399): note: 编译类 模板 成员函数“std::complex<float> c10::Converter<To,From,void>::operator ()(From)”时

       with

       [

           To=std::complex<float>,

           From=int64_t

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(406): note: 参见对正在编译的函数 模板  实例化“std::complex<float> c10::Converter<To,From,void>::operator ()(From)”的引用

       with

       [

           To=std::complex<float>,

           From=int64_t

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(406): note: 参见对正在编译的类 模板 实 例化“c10::Converter<To,From,void>”的引用

       with

       [

           To=std::complex<float>,

           From=int64_t

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(503): note: 参见对正在编译的函数 模板  实例化“To c10::convert<To,From>(From)”的引用

       with

       [

           To=std::complex<float>,

           From=int64_t

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/core/Scalar.h(72): note: 参见对正在编译的函数 模板 实例化“To c10::checked_convert<std::complex<float>,int64_t>(From,const char *)”的引用

       with

       [

           To=std::complex<float>,

           From=int64_t

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(400): warning C4244: “参数”: 从“double”转换到“const std::complex<float>::_Ty”,可能丢失数据

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(399): note: 编译类 模板 成员函数“std::complex<float> c10::Converter<To,From,void>::operator ()(From)”时

       with

       [

           To=std::complex<float>,

           From=double

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(406): note: 参见对正在编译的函数 模板  实例化“std::complex<float> c10::Converter<To,From,void>::operator ()(From)”的引用

       with

       [

           To=std::complex<float>,

           From=double

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(406): note: 参见对正在编译的类 模板 实 例化“c10::Converter<To,From,void>”的引用

       with

       [

           To=std::complex<float>,

           From=double

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/util/Half.h(503): note: 参见对正在编译的函数 模板  实例化“To c10::convert<To,From>(From)”的引用

       with

       [

           To=std::complex<float>,

           From=double

       ]

F:\Program Files\Python\Python36\Lib\site-packages\torch\include\c10/core/Scalar.h(72): note: 参见对正在编译的函数 模板 实例化“To c10::checked_convert<std::complex<float>,double>(From,const char *)”的引用

       with

       [

           To=std::complex<float>,

           From=double

       ]

D:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\BIN\x86_amd64\link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO "/LIBPATH:F:\Program Files\Python\Python36\Lib\site-packages\torch\lib" "/LIBPATH:F:\Program Files\Python\Python36\libs" "/LIBPATH:F:\Program Files\Python\Python36\PCbuild\amd64" "/LIBPATH:D:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\LIB\amd64" "/LIBPATH:D:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\ATLMFC\LIB\amd64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.10240.0\ucrt\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\lib\um\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\8.1\lib\winv6.3\um\x64" c10.lib torch.lib torch_python.lib _C.lib /EXPORT:PyInit__C build\temp.win-amd64-3.6\Release\File_Python\Python_example\detectron2-master\detectron2\layers\csrc\vision.obj build\temp.win-amd64-3.6\Release\File_Python\Python_example\detectron2-master\detectron2\layers\csrc\box_iou_rotated\box_iou_rotated_cpu.obj build\temp.win-amd64-3.6\Release\File_Python\Python_example\detectron2-master\detectron2\layers\csrc\nms_rotated\nms_rotated_cpu.obj build\temp.win-amd64-3.6\Release\File_Python\Python_example\detectron2-master\detectron2\layers\csrc\ROIAlign\ROIAlign_cpu.obj build\temp.win-amd64-3.6\Release\File_Python\Python_example\detectron2-master\detectron2\layers\csrc\ROIAlignRotated\ROIAlignRotated_cpu.obj /OUT:build\lib.win-amd64-3.6\detectron2\_C.cp36-win_amd64.pyd /IMPLIB:build\temp.win-amd64-3.6\Release\File_Python\Python_example\detectron2-master\detectron2\layers\csrc\_C.cp36-win_amd64.lib

vision.obj : warning LNK4197: 多次指定导出“PyInit__C”;使用第一个规范

 正在创建库 build\temp.win-amd64-3.6\Release\File_Python\Python_example\detectron2-master\detectron2\layers\csrc\_C.cp36-win_amd64.lib 和对象 build\temp.win-amd64-3.6\Release\File_Python\Python_example\detectron2-master\detectron2\layers\csrc\_C.cp36-win_amd64.exp

正在生成代码

已完成代码的生成

running develop

running egg_info

creating detectron2.egg-info

writing detectron2.egg-info\PKG-INFO

writing dependency_links to detectron2.egg-info\dependency_links.txt

writing requirements to detectron2.egg-info\requires.txt

writing top-level names to detectron2.egg-info\top_level.txt

writing manifest file 'detectron2.egg-info\SOURCES.txt'

reading manifest file 'detectron2.egg-info\SOURCES.txt'

writing manifest file 'detectron2.egg-info\SOURCES.txt'

running build_ext

copying build\lib.win-amd64-3.6\detectron2\_C.cp36-win_amd64.pyd -> detectron2

Creating f:\program files\python\python36\lib\site-packages\detectron2.egg-link (link to .)

Adding detectron2 0.1 to easy-install.pth file

Installed f:\file_python\python_example\detectron2-master

Processing dependencies for detectron2==0.1

Searching for fvcore

Reading https://pypi.org/simple/fvcore/

Downloading https://files.pythonhosted.org/packages/0a/53/ffd1fa276766b23241d1d64a872e82fddc6f156d374334456aff9dc29a71/fvcore-0.1.dev200108.tar.gz#sha256=55089026ae8d3d706f3013269e11bd57dcee59db585a8e56672505bd23ed75df

Best match: fvcore 0.1.dev200108

Processing fvcore-0.1.dev200108.tar.gz

Writing C:\Users\niu\AppData\Local\Temp\easy_install-qmv8ztsg\fvcore-0.1.dev200108\setup.cfg

Running fvcore-0.1.dev200108\setup.py -q bdist_egg --dist-dir C:\Users\niu\AppData\Local\Temp\easy_install-qmv8ztsg\fvcore-0.1.dev200108\egg-dist-tmp-4m550vxx

zip_safe flag not set; analyzing archive contents...

Copying fvcore-0.1.dev200108-py3.6.egg to f:\program files\python\python36\lib\site-packages

Adding fvcore 0.1.dev200108 to easy-install.pth file

Installed f:\program files\python\python36\lib\site-packages\fvcore-0.1.dev200108-py3.6.egg

Searching for tqdm>4.29.0

Reading https://pypi.org/simple/tqdm/

Downloading https://files.pythonhosted.org/packages/72/c9/7fc20feac72e79032a7c8138fd0d395dc6d8812b5b9edf53c3afd0b31017/tqdm-4.41.1-py2.py3-none-any.whl#sha256=efab950cf7cc1e4d8ee50b2bb9c8e4a89f8307b49e0b2c9cfef3ec4ca26655eb

Best match: tqdm 4.41.1

Processing tqdm-4.41.1-py2.py3-none-any.whl

Installing tqdm-4.41.1-py2.py3-none-any.whl to f:\program files\python\python36\lib\site-packages

writing requirements to f:\program files\python\python36\lib\site-packages\tqdm-4.41.1-py3.6.egg\EGG-INFO\requires.txt

Adding tqdm 4.41.1 to easy-install.pth file

Installing tqdm-script.py script to F:\Program Files\Python\Python36\Scripts

Installing tqdm.exe script to F:\Program Files\Python\Python36\Scripts

Installed f:\program files\python\python36\lib\site-packages\tqdm-4.41.1-py3.6.egg

Searching for cloudpickle

Reading https://pypi.org/simple/cloudpickle/

Downloading https://files.pythonhosted.org/packages/c1/49/334e279caa3231255725c8e860fa93e72083567625573421db8875846c14/cloudpickle-1.2.2-py2.py3-none-any.whl#sha256=f3ef2c9d438f1553ce7795afb18c1f190d8146132496169ef6aa9b7b65caa4c3

Best match: cloudpickle 1.2.2

Processing cloudpickle-1.2.2-py2.py3-none-any.whl

Installing cloudpickle-1.2.2-py2.py3-none-any.whl to f:\program files\python\python36\lib\site-packages

Adding cloudpickle 1.2.2 to easy-install.pth file

Installed f:\program files\python\python36\lib\site-packages\cloudpickle-1.2.2-py3.6.egg

Searching for Pillow==6.2.2

Reading https://pypi.org/simple/Pillow/

Downloading https://files.pythonhosted.org/packages/8c/1b/c9eb5c2d6ed016bda10cb53aaf413cf67638629671b2ada7b20a7e5ad8d6/Pillow-6.2.2-cp36-cp36m-win_amd64.whl#sha256=5ccfcb0a34ad9b77ad247c231edb781763198f405a5c8dc1b642449af821fb7f

Best match: Pillow 6.2.2

Processing Pillow-6.2.2-cp36-cp36m-win_amd64.whl

Installing Pillow-6.2.2-cp36-cp36m-win_amd64.whl to f:\program files\python\python36\lib\site-packages

Adding Pillow 6.2.2 to easy-install.pth file

Installed f:\program files\python\python36\lib\site-packages\pillow-6.2.2-py3.6-win-amd64.egg

Searching for pyyaml>=5.1

Reading https://pypi.org/simple/pyyaml/

Downloading https://files.pythonhosted.org/packages/b9/b6/7f6a1c6a061d9d86ca39a3284ded68806c1d8542596bf76eefa9f65eddde/PyYAML-5.3-cp36-cp36m-win_amd64.whl#sha256=74782fbd4d4f87ff04159e986886931456a1894c61229be9eaf4de6f6e44b99e

Best match: PyYAML 5.3

Processing PyYAML-5.3-cp36-cp36m-win_amd64.whl

Installing PyYAML-5.3-cp36-cp36m-win_amd64.whl to f:\program files\python\python36\lib\site-packages

Adding PyYAML 5.3 to easy-install.pth file

Installed f:\program files\python\python36\lib\site-packages\pyyaml-5.3-py3.6-win-amd64.egg

Searching for tensorboard==1.10.0

Best match: tensorboard 1.10.0

Adding tensorboard 1.10.0 to easy-install.pth file

Installing tensorboard-script.py script to F:\Program Files\Python\Python36\Scripts

Installing tensorboard.exe script to F:\Program Files\Python\Python36\Scripts

Using f:\program files\python\python36\lib\site-packages

Searching for matplotlib==2.2.2

Best match: matplotlib 2.2.2

Adding matplotlib 2.2.2 to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for tabulate==0.8.6

Best match: tabulate 0.8.6

Adding tabulate 0.8.6 to easy-install.pth file

Installing tabulate-script.py script to F:\Program Files\Python\Python36\Scripts

Installing tabulate.exe script to F:\Program Files\Python\Python36\Scripts

Using f:\program files\python\python36\lib\site-packages

Searching for yacs==0.1.6

Best match: yacs 0.1.6

Adding yacs 0.1.6 to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for termcolor==1.1.0

Best match: termcolor 1.1.0

Adding termcolor 1.1.0 to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for portalocker==1.5.2

Best match: portalocker 1.5.2

Adding portalocker 1.5.2 to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for Werkzeug==0.14.1

Best match: Werkzeug 0.14.1

Adding Werkzeug 0.14.1 to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for Markdown==2.6.11

Best match: Markdown 2.6.11

Adding Markdown 2.6.11 to easy-install.pth file

Installing markdown_py-script.py script to F:\Program Files\Python\Python36\Scripts

Installing markdown_py.exe script to F:\Program Files\Python\Python36\Scripts

Using f:\program files\python\python36\lib\site-packages

Searching for wheel==0.30.0

Best match: wheel 0.30.0

Adding wheel 0.30.0 to easy-install.pth file

Installing wheel-script.py script to F:\Program Files\Python\Python36\Scripts

Installing wheel.exe script to F:\Program Files\Python\Python36\Scripts

Using f:\program files\python\python36\lib\site-packages

Searching for six==1.11.0

Best match: six 1.11.0

Adding six 1.11.0 to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for protobuf==3.6.1

Best match: protobuf 3.6.1

Adding protobuf 3.6.1 to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for numpy==1.14.5+mkl

Best match: numpy 1.14.5+mkl

Adding numpy 1.14.5+mkl to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for python-dateutil==2.6.1

Best match: python-dateutil 2.6.1

Adding python-dateutil 2.6.1 to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for pytz==2018.3

Best match: pytz 2018.3

Adding pytz 2018.3 to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for pyparsing==2.2.0

Best match: pyparsing 2.2.0

Adding pyparsing 2.2.0 to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for cycler==0.10.0

Best match: cycler 0.10.0

Adding cycler 0.10.0 to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for kiwisolver==1.0.1

Best match: kiwisolver 1.0.1

Adding kiwisolver 1.0.1 to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for pywin32==227

Best match: pywin32 227

Adding pywin32 227 to easy-install.pth file

Using f:\program files\python\python36\lib\site-packages

Searching for setuptools==41.0.1

Best match: setuptools 41.0.1

Adding setuptools 41.0.1 to easy-install.pth file

Installing easy_install-script.py script to F:\Program Files\Python\Python36\Scripts

Installing easy_install.exe script to F:\Program Files\Python\Python36\Scripts

Installing easy_install-3.6-script.py script to F:\Program Files\Python\Python36\Scripts

Installing easy_install-3.6.exe script to F:\Program Files\Python\Python36\Scripts

Using f:\program files\python\python36\lib\site-packages

Finished processing dependencies for detectron2==0.1


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