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

python setup.py build develop

1. Microsoft Windows [版本 10.0.14393]
2. (c) 2016 Microsoft Corporation。保留所有权利。
3. 
4. F:\File_Python\Python_example\detectron2-master>python setup.py build develop
5. No CUDA runtime is found, using CUDA_HOME='D:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0'
6. running build
7. running build_py
8. creating build
9. creating build\lib.win-amd64-3.6
10. creating build\lib.win-amd64-3.6\detectron2
11. copying detectron2\__init__.py -> build\lib.win-amd64-3.6\detectron2
12. creating build\lib.win-amd64-3.6\detectron2\checkpoint
13. copying detectron2\checkpoint\c2_model_loading.py -> build\lib.win-amd64-3.6\detectron2\checkpoint
14. copying detectron2\checkpoint\catalog.py -> build\lib.win-amd64-3.6\detectron2\checkpoint
15. copying detectron2\checkpoint\detection_checkpoint.py -> build\lib.win-amd64-3.6\detectron2\checkpoint
16. copying detectron2\checkpoint\__init__.py -> build\lib.win-amd64-3.6\detectron2\checkpoint
17. creating build\lib.win-amd64-3.6\detectron2\config
18. copying detectron2\config\compat.py -> build\lib.win-amd64-3.6\detectron2\config
19. copying detectron2\config\config.py -> build\lib.win-amd64-3.6\detectron2\config
20. copying detectron2\config\defaults.py -> build\lib.win-amd64-3.6\detectron2\config
21. copying detectron2\config\__init__.py -> build\lib.win-amd64-3.6\detectron2\config
22. creating build\lib.win-amd64-3.6\detectron2\data
23. copying detectron2\data\build.py -> build\lib.win-amd64-3.6\detectron2\data
24. copying detectron2\data\catalog.py -> build\lib.win-amd64-3.6\detectron2\data
25. copying detectron2\data\common.py -> build\lib.win-amd64-3.6\detectron2\data
26. copying detectron2\data\dataset_mapper.py -> build\lib.win-amd64-3.6\detectron2\data
27. copying detectron2\data\detection_utils.py -> build\lib.win-amd64-3.6\detectron2\data
28. copying detectron2\data\__init__.py -> build\lib.win-amd64-3.6\detectron2\data
29. creating build\lib.win-amd64-3.6\detectron2\engine
30. copying detectron2\engine\defaults.py -> build\lib.win-amd64-3.6\detectron2\engine
31. copying detectron2\engine\hooks.py -> build\lib.win-amd64-3.6\detectron2\engine
32. copying detectron2\engine\launch.py -> build\lib.win-amd64-3.6\detectron2\engine
33. copying detectron2\engine\train_loop.py -> build\lib.win-amd64-3.6\detectron2\engine
34. copying detectron2\engine\__init__.py -> build\lib.win-amd64-3.6\detectron2\engine
35. creating build\lib.win-amd64-3.6\detectron2\evaluation
36. copying detectron2\evaluation\cityscapes_evaluation.py -> build\lib.win-amd64-3.6\detectron2\evaluation
37. copying detectron2\evaluation\coco_evaluation.py -> build\lib.win-amd64-3.6\detectron2\evaluation
38. copying detectron2\evaluation\evaluator.py -> build\lib.win-amd64-3.6\detectron2\evaluation
39. copying detectron2\evaluation\lvis_evaluation.py -> build\lib.win-amd64-3.6\detectron2\evaluation
40. copying detectron2\evaluation\panoptic_evaluation.py -> build\lib.win-amd64-3.6\detectron2\evaluation
41. copying detectron2\evaluation\pascal_voc_evaluation.py -> build\lib.win-amd64-3.6\detectron2\evaluation
42. copying detectron2\evaluation\sem_seg_evaluation.py -> build\lib.win-amd64-3.6\detectron2\evaluation
43. copying detectron2\evaluation\testing.py -> build\lib.win-amd64-3.6\detectron2\evaluation
44. copying detectron2\evaluation\__init__.py -> build\lib.win-amd64-3.6\detectron2\evaluation
45. creating build\lib.win-amd64-3.6\detectron2\export
46. copying detectron2\export\api.py -> build\lib.win-amd64-3.6\detectron2\export
47. copying detectron2\export\c10.py -> build\lib.win-amd64-3.6\detectron2\export
48. copying detectron2\export\caffe2_export.py -> build\lib.win-amd64-3.6\detectron2\export
49. copying detectron2\export\caffe2_inference.py -> build\lib.win-amd64-3.6\detectron2\export
50. copying detectron2\export\caffe2_modeling.py -> build\lib.win-amd64-3.6\detectron2\export
51. copying detectron2\export\patcher.py -> build\lib.win-amd64-3.6\detectron2\export
52. copying detectron2\export\shared.py -> build\lib.win-amd64-3.6\detectron2\export
53. copying detectron2\export\__init__.py -> build\lib.win-amd64-3.6\detectron2\export
54. creating build\lib.win-amd64-3.6\detectron2\layers
55. copying detectron2\layers\batch_norm.py -> build\lib.win-amd64-3.6\detectron2\layers
56. copying detectron2\layers\deform_conv.py -> build\lib.win-amd64-3.6\detectron2\layers
57. copying detectron2\layers\mask_ops.py -> build\lib.win-amd64-3.6\detectron2\layers
58. copying detectron2\layers\nms.py -> build\lib.win-amd64-3.6\detectron2\layers
59. copying detectron2\layers\roi_align.py -> build\lib.win-amd64-3.6\detectron2\layers
60. copying detectron2\layers\roi_align_rotated.py -> build\lib.win-amd64-3.6\detectron2\layers
61. copying detectron2\layers\rotated_boxes.py -> build\lib.win-amd64-3.6\detectron2\layers
62. copying detectron2\layers\shape_spec.py -> build\lib.win-amd64-3.6\detectron2\layers
63. copying detectron2\layers\wrappers.py -> build\lib.win-amd64-3.6\detectron2\layers
64. copying detectron2\layers\__init__.py -> build\lib.win-amd64-3.6\detectron2\layers
65. creating build\lib.win-amd64-3.6\detectron2\modeling
66. copying detectron2\modeling\anchor_generator.py -> build\lib.win-amd64-3.6\detectron2\modeling
67. copying detectron2\modeling\box_regression.py -> build\lib.win-amd64-3.6\detectron2\modeling
68. copying detectron2\modeling\matcher.py -> build\lib.win-amd64-3.6\detectron2\modeling
69. copying detectron2\modeling\poolers.py -> build\lib.win-amd64-3.6\detectron2\modeling
70. copying detectron2\modeling\postprocessing.py -> build\lib.win-amd64-3.6\detectron2\modeling
71. copying detectron2\modeling\sampling.py -> build\lib.win-amd64-3.6\detectron2\modeling
72. copying detectron2\modeling\test_time_augmentation.py -> build\lib.win-amd64-3.6\detectron2\modeling
73. copying detectron2\modeling\__init__.py -> build\lib.win-amd64-3.6\detectron2\modeling
74. creating build\lib.win-amd64-3.6\detectron2\model_zoo
75. copying detectron2\model_zoo\model_zoo.py -> build\lib.win-amd64-3.6\detectron2\model_zoo
76. copying detectron2\model_zoo\__init__.py -> build\lib.win-amd64-3.6\detectron2\model_zoo
77. creating build\lib.win-amd64-3.6\detectron2\solver
78. copying detectron2\solver\build.py -> build\lib.win-amd64-3.6\detectron2\solver
79. copying detectron2\solver\lr_scheduler.py -> build\lib.win-amd64-3.6\detectron2\solver
80. copying detectron2\solver\__init__.py -> build\lib.win-amd64-3.6\detectron2\solver
81. creating build\lib.win-amd64-3.6\detectron2\structures
82. copying detectron2\structures\boxes.py -> build\lib.win-amd64-3.6\detectron2\structures
83. copying detectron2\structures\image_list.py -> build\lib.win-amd64-3.6\detectron2\structures
84. copying detectron2\structures\instances.py -> build\lib.win-amd64-3.6\detectron2\structures
85. copying detectron2\structures\keypoints.py -> build\lib.win-amd64-3.6\detectron2\structures
86. copying detectron2\structures\masks.py -> build\lib.win-amd64-3.6\detectron2\structures
87. copying detectron2\structures\rotated_boxes.py -> build\lib.win-amd64-3.6\detectron2\structures
88. copying detectron2\structures\__init__.py -> build\lib.win-amd64-3.6\detectron2\structures
89. creating build\lib.win-amd64-3.6\detectron2\utils
90. copying detectron2\utils\collect_env.py -> build\lib.win-amd64-3.6\detectron2\utils
91. copying detectron2\utils\colormap.py -> build\lib.win-amd64-3.6\detectron2\utils
92. copying detectron2\utils\comm.py -> build\lib.win-amd64-3.6\detectron2\utils
93. copying detectron2\utils\env.py -> build\lib.win-amd64-3.6\detectron2\utils
94. copying detectron2\utils\events.py -> build\lib.win-amd64-3.6\detectron2\utils
95. copying detectron2\utils\logger.py -> build\lib.win-amd64-3.6\detectron2\utils
96. copying detectron2\utils\memory.py -> build\lib.win-amd64-3.6\detectron2\utils
97. copying detectron2\utils\registry.py -> build\lib.win-amd64-3.6\detectron2\utils
98. copying detectron2\utils\serialize.py -> build\lib.win-amd64-3.6\detectron2\utils
99. copying detectron2\utils\video_visualizer.py -> build\lib.win-amd64-3.6\detectron2\utils
100. copying detectron2\utils\visualizer.py -> build\lib.win-amd64-3.6\detectron2\utils
101. copying detectron2\utils\__init__.py -> build\lib.win-amd64-3.6\detectron2\utils
102. creating build\lib.win-amd64-3.6\detectron2\data\datasets
103. copying detectron2\data\datasets\builtin.py -> build\lib.win-amd64-3.6\detectron2\data\datasets
104. copying detectron2\data\datasets\builtin_meta.py -> build\lib.win-amd64-3.6\detectron2\data\datasets
105. copying detectron2\data\datasets\cityscapes.py -> build\lib.win-amd64-3.6\detectron2\data\datasets
106. copying detectron2\data\datasets\coco.py -> build\lib.win-amd64-3.6\detectron2\data\datasets
107. copying detectron2\data\datasets\lvis.py -> build\lib.win-amd64-3.6\detectron2\data\datasets
108. copying detectron2\data\datasets\lvis_v0_5_categories.py -> build\lib.win-amd64-3.6\detectron2\data\datasets
109. copying detectron2\data\datasets\pascal_voc.py -> build\lib.win-amd64-3.6\detectron2\data\datasets
110. copying detectron2\data\datasets\register_coco.py -> build\lib.win-amd64-3.6\detectron2\data\datasets
111. copying detectron2\data\datasets\__init__.py -> build\lib.win-amd64-3.6\detectron2\data\datasets
112. creating build\lib.win-amd64-3.6\detectron2\data\samplers
113. copying detectron2\data\samplers\distributed_sampler.py -> build\lib.win-amd64-3.6\detectron2\data\samplers
114. copying detectron2\data\samplers\grouped_batch_sampler.py -> build\lib.win-amd64-3.6\detectron2\data\samplers
115. copying detectron2\data\samplers\__init__.py -> build\lib.win-amd64-3.6\detectron2\data\samplers
116. creating build\lib.win-amd64-3.6\detectron2\data\transforms
117. copying detectron2\data\transforms\transform.py -> build\lib.win-amd64-3.6\detectron2\data\transforms
118. copying detectron2\data\transforms\transform_gen.py -> build\lib.win-amd64-3.6\detectron2\data\transforms
119. copying detectron2\data\transforms\__init__.py -> build\lib.win-amd64-3.6\detectron2\data\transforms
120. creating build\lib.win-amd64-3.6\detectron2\modeling\backbone
121. copying detectron2\modeling\backbone\backbone.py -> build\lib.win-amd64-3.6\detectron2\modeling\backbone
122. copying detectron2\modeling\backbone\build.py -> build\lib.win-amd64-3.6\detectron2\modeling\backbone
123. copying detectron2\modeling\backbone\fpn.py -> build\lib.win-amd64-3.6\detectron2\modeling\backbone
124. copying detectron2\modeling\backbone\resnet.py -> build\lib.win-amd64-3.6\detectron2\modeling\backbone
125. copying detectron2\modeling\backbone\__init__.py -> build\lib.win-amd64-3.6\detectron2\modeling\backbone
126. creating build\lib.win-amd64-3.6\detectron2\modeling\meta_arch
127. copying detectron2\modeling\meta_arch\build.py -> build\lib.win-amd64-3.6\detectron2\modeling\meta_arch
128. copying detectron2\modeling\meta_arch\panoptic_fpn.py -> build\lib.win-amd64-3.6\detectron2\modeling\meta_arch
129. copying detectron2\modeling\meta_arch\rcnn.py -> build\lib.win-amd64-3.6\detectron2\modeling\meta_arch
130. copying detectron2\modeling\meta_arch\retinanet.py -> build\lib.win-amd64-3.6\detectron2\modeling\meta_arch
131. copying detectron2\modeling\meta_arch\semantic_seg.py -> build\lib.win-amd64-3.6\detectron2\modeling\meta_arch
132. copying detectron2\modeling\meta_arch\__init__.py -> build\lib.win-amd64-3.6\detectron2\modeling\meta_arch
133. creating build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator
134. copying detectron2\modeling\proposal_generator\build.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator
135. copying detectron2\modeling\proposal_generator\proposal_utils.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator
136. copying detectron2\modeling\proposal_generator\rpn.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator
137. copying detectron2\modeling\proposal_generator\rpn_outputs.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator
138. copying detectron2\modeling\proposal_generator\rrpn.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator
139. copying detectron2\modeling\proposal_generator\rrpn_outputs.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator
140. copying detectron2\modeling\proposal_generator\__init__.py -> build\lib.win-amd64-3.6\detectron2\modeling\proposal_generator
141. creating build\lib.win-amd64-3.6\detectron2\modeling\roi_heads
142. copying detectron2\modeling\roi_heads\box_head.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads
143. copying detectron2\modeling\roi_heads\cascade_rcnn.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads
144. copying detectron2\modeling\roi_heads\fast_rcnn.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads
145. copying detectron2\modeling\roi_heads\keypoint_head.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads
146. copying detectron2\modeling\roi_heads\mask_head.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads
147. copying detectron2\modeling\roi_heads\roi_heads.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads
148. copying detectron2\modeling\roi_heads\rotated_fast_rcnn.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads
149. copying detectron2\modeling\roi_heads\__init__.py -> build\lib.win-amd64-3.6\detectron2\modeling\roi_heads
150. creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs
151. copying detectron2\model_zoo\configs\Base-RCNN-C4.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs
152. copying detectron2\model_zoo\configs\Base-RCNN-DilatedC5.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs
153. copying detectron2\model_zoo\configs\Base-RCNN-FPN.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs
154. copying detectron2\model_zoo\configs\Base-RetinaNet.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs
155. creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\Cityscapes
156. copying detectron2\model_zoo\configs\Cityscapes\mask_rcnn_R_50_FPN.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\Cityscapes
157. creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Detection
158. 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
159. 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
160. 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
161. 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
162. 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
163. 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
164. 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
165. 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
166. 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
167. 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
168. 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
169. 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
170. 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
171. 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
172. 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
173. 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
174. creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-InstanceSegmentation
175. 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
176. 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
177. 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
178. 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
179. 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
180. 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
181. 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
182. 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
183. 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
184. 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
185. creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Keypoints
186. copying detectron2\model_zoo\configs\COCO-Keypoints\Base-Keypoint-RCNN-FPN.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-Keypoints
187. 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
188. 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
189. 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
190. 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
191. creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-PanopticSegmentation
192. copying detectron2\model_zoo\configs\COCO-PanopticSegmentation\Base-Panoptic-FPN.yaml -> build\lib.win-amd64-3.6\detectron2\model_zoo\configs\COCO-PanopticSegmentation
193. 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
194. 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
195. 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
196. creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\Detectron1-Comparisons
197. 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
198. 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
199. 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
200. creating build\lib.win-amd64-3.6\detectron2\model_zoo\configs\LVIS-InstanceSegmentation
201. 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
202. 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
203. 
204. 
205. ……………………………………………………………………………………………………………………
206. ……………………………………………………………………………………………………………………
207. ……………………………………………………………………………………………………………………
208. ……………………………………………………………………………………………………………………
209. 
210. 
211. 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
212.         with
213.         [
214.             To=bool,
215.             From=double
216.         ]
217. 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
218.         with
219.         [
220.             To=bool,
221.             From=double
222.         ]
223. 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
224.         with
225.         [
226.             To=bool,
227.             From=double
228.         ]
229. 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
230.         with
231.         [
232.             To=bool,
233.             From=double
234.         ]
235. 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
236. 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
237.         with
238.         [
239.             To=std::complex<double>,
240.             From=int64_t
241.         ]
242. 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
243.         with
244.         [
245.             To=std::complex<double>,
246.             From=int64_t
247.         ]
248. 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
249.         with
250.         [
251.             To=std::complex<double>,
252.             From=int64_t
253.         ]
254. 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
255.         with
256.         [
257.             To=std::complex<double>,
258.             From=int64_t
259.         ]
260. 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
261.         with
262.         [
263.             To=std::complex<double>,
264.             From=int64_t
265.         ]
266. 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
267. 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
268.         with
269.         [
270.             To=std::complex<float>,
271.             From=int64_t
272.         ]
273. 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
274.         with
275.         [
276.             To=std::complex<float>,
277.             From=int64_t
278.         ]
279. 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
280.         with
281.         [
282.             To=std::complex<float>,
283.             From=int64_t
284.         ]
285. 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
286.         with
287.         [
288.             To=std::complex<float>,
289.             From=int64_t
290.         ]
291. 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
292.         with
293.         [
294.             To=std::complex<float>,
295.             From=int64_t
296.         ]
297. 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
298. 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
299.         with
300.         [
301.             To=std::complex<float>,
302.             From=double
303.         ]
304. 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
305.         with
306.         [
307.             To=std::complex<float>,
308.             From=double
309.         ]
310. 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
311.         with
312.         [
313.             To=std::complex<float>,
314.             From=double
315.         ]
316. 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
317.         with
318.         [
319.             To=std::complex<float>,
320.             From=double
321.         ]
322. 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
323.         with
324.         [
325.             To=std::complex<float>,
326.             From=double
327.         ]
328. 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
329. vision.obj : warning LNK4197: 多次指定导出“PyInit__C”;使用第一个规范
330.   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
331. 正在生成代码
332. 已完成代码的生成
333. running develop
334. running egg_info
335. creating detectron2.egg-info
336. writing detectron2.egg-info\PKG-INFO
337. writing dependency_links to detectron2.egg-info\dependency_links.txt
338. writing requirements to detectron2.egg-info\requires.txt
339. writing top-level names to detectron2.egg-info\top_level.txt
340. writing manifest file 'detectron2.egg-info\SOURCES.txt'
341. reading manifest file 'detectron2.egg-info\SOURCES.txt'
342. writing manifest file 'detectron2.egg-info\SOURCES.txt'
343. running build_ext
344. copying build\lib.win-amd64-3.6\detectron2\_C.cp36-win_amd64.pyd -> detectron2
345. Creating f:\program files\python\python36\lib\site-packages\detectron2.egg-link (link to .)
346. Adding detectron2 0.1 to easy-install.pth file
347. 
348. Installed f:\file_python\python_example\detectron2-master
349. Processing dependencies for detectron2==0.1
350. Searching for fvcore
351. Reading https://pypi.org/simple/fvcore/
352. Downloading https://files.pythonhosted.org/packages/0a/53/ffd1fa276766b23241d1d64a872e82fddc6f156d374334456aff9dc29a71/fvcore-0.1.dev200108.tar.gz#sha256=55089026ae8d3d706f3013269e11bd57dcee59db585a8e56672505bd23ed75df
353. Best match: fvcore 0.1.dev200108
354. Processing fvcore-0.1.dev200108.tar.gz
355. Writing C:\Users\niu\AppData\Local\Temp\easy_install-qmv8ztsg\fvcore-0.1.dev200108\setup.cfg
356. 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
357. zip_safe flag not set; analyzing archive contents...
358. Copying fvcore-0.1.dev200108-py3.6.egg to f:\program files\python\python36\lib\site-packages
359. Adding fvcore 0.1.dev200108 to easy-install.pth file
360. 
361. Installed f:\program files\python\python36\lib\site-packages\fvcore-0.1.dev200108-py3.6.egg
362. Searching for tqdm>4.29.0
363. Reading https://pypi.org/simple/tqdm/
364. Downloading https://files.pythonhosted.org/packages/72/c9/7fc20feac72e79032a7c8138fd0d395dc6d8812b5b9edf53c3afd0b31017/tqdm-4.41.1-py2.py3-none-any.whl#sha256=efab950cf7cc1e4d8ee50b2bb9c8e4a89f8307b49e0b2c9cfef3ec4ca26655eb
365. Best match: tqdm 4.41.1
366. Processing tqdm-4.41.1-py2.py3-none-any.whl
367. Installing tqdm-4.41.1-py2.py3-none-any.whl to f:\program files\python\python36\lib\site-packages
368. writing requirements to f:\program files\python\python36\lib\site-packages\tqdm-4.41.1-py3.6.egg\EGG-INFO\requires.txt
369. Adding tqdm 4.41.1 to easy-install.pth file
370. Installing tqdm-script.py script to F:\Program Files\Python\Python36\Scripts
371. Installing tqdm.exe script to F:\Program Files\Python\Python36\Scripts
372. 
373. Installed f:\program files\python\python36\lib\site-packages\tqdm-4.41.1-py3.6.egg
374. Searching for cloudpickle
375. Reading https://pypi.org/simple/cloudpickle/
376. Downloading https://files.pythonhosted.org/packages/c1/49/334e279caa3231255725c8e860fa93e72083567625573421db8875846c14/cloudpickle-1.2.2-py2.py3-none-any.whl#sha256=f3ef2c9d438f1553ce7795afb18c1f190d8146132496169ef6aa9b7b65caa4c3
377. Best match: cloudpickle 1.2.2
378. Processing cloudpickle-1.2.2-py2.py3-none-any.whl
379. Installing cloudpickle-1.2.2-py2.py3-none-any.whl to f:\program files\python\python36\lib\site-packages
380. Adding cloudpickle 1.2.2 to easy-install.pth file
381. 
382. Installed f:\program files\python\python36\lib\site-packages\cloudpickle-1.2.2-py3.6.egg
383. Searching for Pillow==6.2.2
384. Reading https://pypi.org/simple/Pillow/
385. Downloading https://files.pythonhosted.org/packages/8c/1b/c9eb5c2d6ed016bda10cb53aaf413cf67638629671b2ada7b20a7e5ad8d6/Pillow-6.2.2-cp36-cp36m-win_amd64.whl#sha256=5ccfcb0a34ad9b77ad247c231edb781763198f405a5c8dc1b642449af821fb7f
386. Best match: Pillow 6.2.2
387. Processing Pillow-6.2.2-cp36-cp36m-win_amd64.whl
388. Installing Pillow-6.2.2-cp36-cp36m-win_amd64.whl to f:\program files\python\python36\lib\site-packages
389. Adding Pillow 6.2.2 to easy-install.pth file
390. 
391. Installed f:\program files\python\python36\lib\site-packages\pillow-6.2.2-py3.6-win-amd64.egg
392. Searching for pyyaml>=5.1
393. Reading https://pypi.org/simple/pyyaml/
394. Downloading https://files.pythonhosted.org/packages/b9/b6/7f6a1c6a061d9d86ca39a3284ded68806c1d8542596bf76eefa9f65eddde/PyYAML-5.3-cp36-cp36m-win_amd64.whl#sha256=74782fbd4d4f87ff04159e986886931456a1894c61229be9eaf4de6f6e44b99e
395. Best match: PyYAML 5.3
396. Processing PyYAML-5.3-cp36-cp36m-win_amd64.whl
397. Installing PyYAML-5.3-cp36-cp36m-win_amd64.whl to f:\program files\python\python36\lib\site-packages
398. Adding PyYAML 5.3 to easy-install.pth file
399. 
400. Installed f:\program files\python\python36\lib\site-packages\pyyaml-5.3-py3.6-win-amd64.egg
401. Searching for tensorboard==1.10.0
402. Best match: tensorboard 1.10.0
403. Adding tensorboard 1.10.0 to easy-install.pth file
404. Installing tensorboard-script.py script to F:\Program Files\Python\Python36\Scripts
405. Installing tensorboard.exe script to F:\Program Files\Python\Python36\Scripts
406. 
407. Using f:\program files\python\python36\lib\site-packages
408. Searching for matplotlib==2.2.2
409. Best match: matplotlib 2.2.2
410. Adding matplotlib 2.2.2 to easy-install.pth file
411. 
412. Using f:\program files\python\python36\lib\site-packages
413. Searching for tabulate==0.8.6
414. Best match: tabulate 0.8.6
415. Adding tabulate 0.8.6 to easy-install.pth file
416. Installing tabulate-script.py script to F:\Program Files\Python\Python36\Scripts
417. Installing tabulate.exe script to F:\Program Files\Python\Python36\Scripts
418. 
419. Using f:\program files\python\python36\lib\site-packages
420. Searching for yacs==0.1.6
421. Best match: yacs 0.1.6
422. Adding yacs 0.1.6 to easy-install.pth file
423. 
424. Using f:\program files\python\python36\lib\site-packages
425. Searching for termcolor==1.1.0
426. Best match: termcolor 1.1.0
427. Adding termcolor 1.1.0 to easy-install.pth file
428. 
429. Using f:\program files\python\python36\lib\site-packages
430. Searching for portalocker==1.5.2
431. Best match: portalocker 1.5.2
432. Adding portalocker 1.5.2 to easy-install.pth file
433. 
434. Using f:\program files\python\python36\lib\site-packages
435. Searching for Werkzeug==0.14.1
436. Best match: Werkzeug 0.14.1
437. Adding Werkzeug 0.14.1 to easy-install.pth file
438. 
439. Using f:\program files\python\python36\lib\site-packages
440. Searching for Markdown==2.6.11
441. Best match: Markdown 2.6.11
442. Adding Markdown 2.6.11 to easy-install.pth file
443. Installing markdown_py-script.py script to F:\Program Files\Python\Python36\Scripts
444. Installing markdown_py.exe script to F:\Program Files\Python\Python36\Scripts
445. 
446. Using f:\program files\python\python36\lib\site-packages
447. Searching for wheel==0.30.0
448. Best match: wheel 0.30.0
449. Adding wheel 0.30.0 to easy-install.pth file
450. Installing wheel-script.py script to F:\Program Files\Python\Python36\Scripts
451. Installing wheel.exe script to F:\Program Files\Python\Python36\Scripts
452. 
453. Using f:\program files\python\python36\lib\site-packages
454. Searching for six==1.11.0
455. Best match: six 1.11.0
456. Adding six 1.11.0 to easy-install.pth file
457. 
458. Using f:\program files\python\python36\lib\site-packages
459. Searching for protobuf==3.6.1
460. Best match: protobuf 3.6.1
461. Adding protobuf 3.6.1 to easy-install.pth file
462. 
463. Using f:\program files\python\python36\lib\site-packages
464. Searching for numpy==1.14.5+mkl
465. Best match: numpy 1.14.5+mkl
466. Adding numpy 1.14.5+mkl to easy-install.pth file
467. 
468. Using f:\program files\python\python36\lib\site-packages
469. Searching for python-dateutil==2.6.1
470. Best match: python-dateutil 2.6.1
471. Adding python-dateutil 2.6.1 to easy-install.pth file
472. 
473. Using f:\program files\python\python36\lib\site-packages
474. Searching for pytz==2018.3
475. Best match: pytz 2018.3
476. Adding pytz 2018.3 to easy-install.pth file
477. 
478. Using f:\program files\python\python36\lib\site-packages
479. Searching for pyparsing==2.2.0
480. Best match: pyparsing 2.2.0
481. Adding pyparsing 2.2.0 to easy-install.pth file
482. 
483. Using f:\program files\python\python36\lib\site-packages
484. Searching for cycler==0.10.0
485. Best match: cycler 0.10.0
486. Adding cycler 0.10.0 to easy-install.pth file
487. 
488. Using f:\program files\python\python36\lib\site-packages
489. Searching for kiwisolver==1.0.1
490. Best match: kiwisolver 1.0.1
491. Adding kiwisolver 1.0.1 to easy-install.pth file
492. 
493. Using f:\program files\python\python36\lib\site-packages
494. Searching for pywin32==227
495. Best match: pywin32 227
496. Adding pywin32 227 to easy-install.pth file
497. 
498. Using f:\program files\python\python36\lib\site-packages
499. Searching for setuptools==41.0.1
500. Best match: setuptools 41.0.1
501. Adding setuptools 41.0.1 to easy-install.pth file
502. Installing easy_install-script.py script to F:\Program Files\Python\Python36\Scripts
503. Installing easy_install.exe script to F:\Program Files\Python\Python36\Scripts
504. Installing easy_install-3.6-script.py script to F:\Program Files\Python\Python36\Scripts
505. Installing easy_install-3.6.exe script to F:\Program Files\Python\Python36\Scripts
506. 
507. Using f:\program files\python\python36\lib\site-packages
508. Finished processing dependencies for detectron2==0.1


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Ubuntu20.04安装anaconda并默认激活conda base环境方法
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Java
MAT无法打开较大的hprof的解决办法
MAT无法打开较大的hprof的解决办法
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关系型数据库 MySQL 数据安全/隐私保护
mysql 5.7安装详细步骤(图片+文字,图片为主)【软件安装+环境配置】
mysql 5.7安装详细步骤(图片+文字,图片为主)【软件安装+环境配置】
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mysql 5.7安装详细步骤(图片+文字,图片为主)【软件安装+环境配置】
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编解码 计算机视觉 Python
Python 技术篇-使用opencv库读取中文路径图片报错解决办法
Python 技术篇-使用opencv库读取中文路径图片报错解决办法
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Python 技术篇-使用opencv库读取中文路径图片报错解决办法
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并行计算 计算机视觉 异构计算
CV之detectron2:detectron2安装过程记录
CV之detectron2:detectron2安装过程记录
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Web App开发 数据可视化 Ubuntu
Ubuntu环境下TensorBoard 可视化 不显示数据问题 No scalar data was found...(作者亲测有效)(转)
TensorBoard:Tensorflow自带的可视化工具。利用TensorBoard进行图表可视化时遇到了图表不显示的问题。 环境:Ubuntu系统 运行代码,得到TensorFlow的事件文件logs,例如路径为:/home/wang/tensorflow/logs, logs中又包含train和test。
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