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hat.zip 大约有1141个文件
  1. hat/
  2. hat/__init__.py 1.11KB
  3. hat/_version.py 22B
  4. hat/registry.py 12.29KB
  5. hat/version.py 6.33KB
  6. hat/__pycache__/
  7. hat/__pycache__/__init__.cpython-38.pyc 986B
  8. hat/__pycache__/_version.cpython-38.pyc 166B
  9. hat/__pycache__/registry.cpython-38.pyc 10.45KB
  10. hat/__pycache__/version.cpython-38.pyc 4.48KB
  11. hat/callbacks/
  12. hat/callbacks/__init__.py 135B
  13. hat/callbacks/callbacks.py 1.26KB
  14. hat/callbacks/checkpoint.py 15.91KB
  15. hat/callbacks/dump_data.py 7.88KB
  16. hat/callbacks/exponential_moving_average.py 3.93KB
  17. hat/callbacks/freeze_bn.py 665B
  18. hat/callbacks/grad_scale.py 3.81KB
  19. hat/callbacks/lr_updater.py 27.13KB
  20. hat/callbacks/metric_updater.py 13.38KB
  21. hat/callbacks/monitor.py 6.59KB
  22. hat/callbacks/online_model_trick.py 6.92KB
  23. hat/callbacks/param_updater.py 18.47KB
  24. hat/callbacks/save_traced.py 3.82KB
  25. hat/callbacks/tensorboard.py 7.33KB
  26. hat/callbacks/validation.py 9.72KB
  27. hat/callbacks/__pycache__/
  28. hat/callbacks/__pycache__/__init__.cpython-38.pyc 202B
  29. hat/callbacks/__pycache__/callbacks.cpython-38.pyc 2.2KB
  30. hat/callbacks/__pycache__/checkpoint.cpython-38.pyc 10.3KB
  31. hat/callbacks/__pycache__/dump_data.cpython-38.pyc 6.33KB
  32. hat/callbacks/__pycache__/exponential_moving_average.cpython-38.pyc 3.82KB
  33. hat/callbacks/__pycache__/freeze_bn.cpython-38.pyc 1.09KB
  34. hat/callbacks/__pycache__/grad_scale.cpython-38.pyc 3.69KB
  35. hat/callbacks/__pycache__/lr_updater.cpython-38.pyc 22.84KB
  36. hat/callbacks/__pycache__/metric_updater.cpython-38.pyc 10.93KB
  37. hat/callbacks/__pycache__/monitor.cpython-38.pyc 5.76KB
  38. hat/callbacks/__pycache__/online_model_trick.cpython-38.pyc 6.55KB
  39. hat/callbacks/__pycache__/param_updater.cpython-38.pyc 14.55KB
  40. hat/callbacks/__pycache__/save_traced.cpython-38.pyc 3.21KB
  41. hat/callbacks/__pycache__/tensorboard.cpython-38.pyc 7.83KB
  42. hat/callbacks/__pycache__/validation.cpython-38.pyc 7.06KB
  43. hat/core/
  44. hat/core/__init__.py 98B
  45. hat/core/adapter.py 1.56KB
  46. hat/core/affine.py 6.42KB
  47. hat/core/anno_ts_utils.py 31.46KB
  48. hat/core/box3d_utils.py 42.68KB
  49. hat/core/box_np_ops.py 18.64KB
  50. hat/core/box_torch_ops.py 5.87KB
  51. hat/core/box_utils.py 14.71KB
  52. hat/core/cam_box3d.py 10.64KB
  53. hat/core/camera.py 7.78KB
  54. hat/core/center_utils.py 16.17KB
  55. hat/core/circle_nms_jit.py 1.09KB
  56. hat/core/colormap.py 12.28KB
  57. hat/core/crowd.py 1.63KB
  58. hat/core/cvt_pack_info.py 11.31KB
  59. hat/core/detection_utils.py 1.04KB
  60. hat/core/eq_focal_length.py 4.52KB
  61. hat/core/eval_platform_adaptor.py 3.04KB
  62. hat/core/event.py 3.26KB
  63. hat/core/heatmap.py 3.15KB
  64. hat/core/heatmap_decoder.py 2.56KB
  65. hat/core/mask2polygon.py 15.22KB
  66. hat/core/nus_box3d_utils.py 8.8KB
  67. hat/core/point_geometry.py 18.18KB
  68. hat/core/position_embedding_utils.py 9.68KB
  69. hat/core/rotate_box_utils.py 21.25KB
  70. hat/core/rotate_box_utils_v2.py 14.67KB
  71. hat/core/task_sampler.py 18.26KB
  72. hat/core/traj_pred_point_level_func.py 8.61KB
  73. hat/core/traj_pred_typing.py 19.1KB
  74. hat/core/traj_pred_utils.py 44.83KB
  75. hat/core/traj_pred_viz_module.py 39.14KB
  76. hat/core/traj_pred_viz_utils.py 15.72KB
  77. hat/core/undistort_lut.py 8.18KB
  78. hat/core/utils_3d.py 20.38KB
  79. hat/core/__pycache__/
  80. hat/core/__pycache__/__init__.cpython-38.pyc 150B
  81. hat/core/__pycache__/adapter.cpython-38.pyc 1.73KB
  82. hat/core/__pycache__/affine.cpython-38.pyc 5.83KB
  83. hat/core/__pycache__/anno_ts_utils.cpython-38.pyc 25.97KB
  84. hat/core/__pycache__/box3d_utils.cpython-38.pyc 30.88KB
  85. hat/core/__pycache__/box_np_ops.cpython-38.pyc 16.38KB
  86. hat/core/__pycache__/box_torch_ops.cpython-38.pyc 5.16KB
  87. hat/core/__pycache__/box_utils.cpython-38.pyc 11.88KB
  88. hat/core/__pycache__/cam_box3d.cpython-38.pyc 9.82KB
  89. hat/core/__pycache__/camera.cpython-38.pyc 5.95KB
  90. hat/core/__pycache__/center_utils.cpython-38.pyc 14.95KB
  91. hat/core/__pycache__/circle_nms_jit.cpython-38.pyc 1006B
  92. hat/core/__pycache__/colormap.cpython-38.pyc 12.12KB
  93. hat/core/__pycache__/crowd.cpython-38.pyc 2.2KB
  94. hat/core/__pycache__/cvt_pack_info.cpython-38.pyc 7.21KB
  95. hat/core/__pycache__/detection_utils.cpython-38.pyc 1.35KB
  96. hat/core/__pycache__/eq_focal_length.cpython-38.pyc 3.32KB
  97. hat/core/__pycache__/eval_platform_adaptor.cpython-38.pyc 2.76KB
  98. hat/core/__pycache__/event.cpython-38.pyc 4.14KB
  99. hat/core/__pycache__/heatmap.cpython-38.pyc 2.44KB
  100. hat/core/__pycache__/heatmap_decoder.cpython-38.pyc 2.43KB
  101. hat/core/__pycache__/mask2polygon.cpython-38.pyc 13.25KB
  102. hat/core/__pycache__/nus_box3d_utils.cpython-38.pyc 7.91KB
  103. hat/core/__pycache__/point_geometry.cpython-38.pyc 13.13KB
  104. hat/core/__pycache__/position_embedding_utils.cpython-38.pyc 8.11KB
  105. hat/core/__pycache__/rotate_box_utils.cpython-38.pyc 16.55KB
  106. hat/core/__pycache__/rotate_box_utils_v2.cpython-38.pyc 10.91KB
  107. hat/core/__pycache__/task_sampler.cpython-38.pyc 13.98KB
  108. hat/core/__pycache__/traj_pred_point_level_func.cpython-38.pyc 8.11KB
  109. hat/core/__pycache__/traj_pred_typing.cpython-38.pyc 16.93KB
  110. hat/core/__pycache__/traj_pred_utils.cpython-38.pyc 38.13KB
  111. hat/core/__pycache__/traj_pred_viz_module.cpython-38.pyc 24.97KB
  112. hat/core/__pycache__/traj_pred_viz_utils.cpython-38.pyc 14.82KB
  113. hat/core/__pycache__/undistort_lut.cpython-38.pyc 5.19KB
  114. hat/core/__pycache__/utils_3d.cpython-38.pyc 17.45KB
  115. hat/core/assigners/
  116. hat/core/assigners/__init__.py 154B
  117. hat/core/assigners/assign_result.py 1.79KB
  118. hat/core/assigners/hungarian_assigner_3d.py 5.11KB
  119. hat/core/assigners/__pycache__/
  120. hat/core/assigners/__pycache__/__init__.cpython-38.pyc 308B
  121. hat/core/assigners/__pycache__/assign_result.cpython-38.pyc 2.07KB
  122. hat/core/assigners/__pycache__/hungarian_assigner_3d.cpython-38.pyc 4.22KB
  123. hat/core/data_struct/
  124. hat/core/data_struct/__init__.py
  125. hat/core/data_struct/base.py 5.39KB
  126. hat/core/data_struct/base_struct.py 20.16KB
  127. hat/core/data_struct/img_structures.py 6.75KB
  128. hat/core/data_struct/__pycache__/
  129. hat/core/data_struct/__pycache__/__init__.cpython-38.pyc 162B
  130. hat/core/data_struct/__pycache__/base.cpython-38.pyc 6.09KB
  131. hat/core/data_struct/__pycache__/base_struct.cpython-38.pyc 23.41KB
  132. hat/core/data_struct/__pycache__/img_structures.cpython-38.pyc 8.13KB
  133. hat/core/differentiable_camera/
  134. hat/core/differentiable_camera/__init__.py 376B
  135. hat/core/differentiable_camera/camera.py 32.42KB
  136. hat/core/differentiable_camera/conversions.py 5.37KB
  137. hat/core/differentiable_camera/lens_module.py 20.75KB
  138. hat/core/differentiable_camera/utils.py 406B
  139. hat/core/differentiable_camera/warping_module.py 2.63KB
  140. hat/core/differentiable_camera/__pycache__/
  141. hat/core/differentiable_camera/__pycache__/__init__.cpython-38.pyc 457B
  142. hat/core/differentiable_camera/__pycache__/camera.cpython-38.pyc 24.56KB
  143. hat/core/differentiable_camera/__pycache__/conversions.cpython-38.pyc 5.03KB
  144. hat/core/differentiable_camera/__pycache__/lens_module.cpython-38.pyc 15.34KB
  145. hat/core/differentiable_camera/__pycache__/utils.cpython-38.pyc 475B
  146. hat/core/differentiable_camera/__pycache__/warping_module.cpython-38.pyc 2.72KB
  147. hat/core/eval_setting/
  148. hat/core/eval_setting/__init__.py 106B
  149. hat/core/eval_setting/parameter_def.py 4.04KB
  150. hat/core/eval_setting/__pycache__/
  151. hat/core/eval_setting/__pycache__/__init__.cpython-38.pyc 223B
  152. hat/core/eval_setting/__pycache__/parameter_def.cpython-38.pyc 4.05KB
  153. hat/core/hand3d/
  154. hat/core/hand3d/__init__.py
  155. hat/core/hand3d/hand3d_func.py 1.05KB
  156. hat/core/hand3d/__pycache__/
  157. hat/core/hand3d/__pycache__/__init__.cpython-38.pyc 157B
  158. hat/core/hand3d/__pycache__/hand3d_func.cpython-38.pyc 1.44KB
  159. hat/core/match_costs/
  160. hat/core/match_costs/__init__.py 108B
  161. hat/core/match_costs/match_cost.py 3.96KB
  162. hat/core/match_costs/__pycache__/
  163. hat/core/match_costs/__pycache__/__init__.cpython-38.pyc 266B
  164. hat/core/match_costs/__pycache__/match_cost.cpython-38.pyc 4.04KB
  165. hat/core/nlu/
  166. hat/core/nlu/__init__.py
  167. hat/core/nlu/nlu_protocol_eval.py 6.55KB
  168. hat/core/nlu/nlu_utils.py 12.48KB
  169. hat/core/nlu/__pycache__/
  170. hat/core/nlu/__pycache__/__init__.cpython-38.pyc 154B
  171. hat/core/nlu/__pycache__/nlu_protocol_eval.cpython-38.pyc 4.85KB
  172. hat/core/nlu/__pycache__/nlu_utils.cpython-38.pyc 10.83KB
  173. hat/core/nms/
  174. hat/core/nms/__init__.py 46B
  175. hat/core/nms/box3d_nms.py 10.12KB
  176. hat/core/nms/__pycache__/
  177. hat/core/nms/__pycache__/__init__.cpython-38.pyc 210B
  178. hat/core/nms/__pycache__/box3d_nms.cpython-38.pyc 6.66KB
  179. hat/core/points/
  180. hat/core/points/__init__.py 92B
  181. hat/core/points/base_points.py 14.81KB
  182. hat/core/points/__pycache__/
  183. hat/core/points/__pycache__/__init__.cpython-38.pyc 203B
  184. hat/core/points/__pycache__/base_points.cpython-38.pyc 12.39KB
  185. hat/core/proj_spec/
  186. hat/core/proj_spec/__init__.py
  187. hat/core/proj_spec/classification.py 45.48KB
  188. hat/core/proj_spec/descs.py 23.42KB
  189. hat/core/proj_spec/detection.py 8.9KB
  190. hat/core/proj_spec/lane_parsing.py 11.78KB
  191. hat/core/proj_spec/parsing.py 50.96KB
  192. hat/core/proj_spec/tracking_feature.py 386B
  193. hat/core/proj_spec/__pycache__/
  194. hat/core/proj_spec/__pycache__/__init__.cpython-38.pyc 160B
  195. hat/core/proj_spec/__pycache__/classification.cpython-38.pyc 25.36KB
  196. hat/core/proj_spec/__pycache__/descs.cpython-38.pyc 12.3KB
  197. hat/core/proj_spec/__pycache__/detection.cpython-38.pyc 6.32KB
  198. hat/core/proj_spec/__pycache__/lane_parsing.cpython-38.pyc 4.83KB
  199. hat/core/proj_spec/__pycache__/parsing.cpython-38.pyc 21KB
  200. hat/core/proj_spec/__pycache__/tracking_feature.cpython-38.pyc 555B
  201. hat/core/virtual_camera/
  202. hat/core/virtual_camera/__init__.py 556B
  203. hat/core/virtual_camera/camera_base.py 39.81KB
  204. hat/core/virtual_camera/cameras.py 8.66KB
  205. hat/core/virtual_camera/projection.py 10.34KB
  206. hat/core/virtual_camera/utils.py 14.88KB
  207. hat/core/virtual_camera/__pycache__/
  208. hat/core/virtual_camera/__pycache__/__init__.cpython-38.pyc 713B
  209. hat/core/virtual_camera/__pycache__/camera_base.cpython-38.pyc 32.97KB
  210. hat/core/virtual_camera/__pycache__/cameras.cpython-38.pyc 7.12KB
  211. hat/core/virtual_camera/__pycache__/projection.cpython-38.pyc 8.75KB
  212. hat/core/virtual_camera/__pycache__/utils.cpython-38.pyc 10.66KB
  213. hat/data/
  214. hat/data/__init__.py 224B
  215. hat/data/metas.py 1.08KB
  216. hat/data/utils.py 1.13KB
  217. hat/data/__pycache__/
  218. hat/data/__pycache__/__init__.cpython-38.pyc 324B
  219. hat/data/__pycache__/metas.cpython-38.pyc 922B
  220. hat/data/__pycache__/utils.cpython-38.pyc 1.14KB
  221. hat/data/collates/
  222. hat/data/collates/__init__.py 98B
  223. hat/data/collates/collates.py 43.57KB
  224. hat/data/collates/nusc_collates.py 2.29KB
  225. hat/data/collates/__pycache__/
  226. hat/data/collates/__pycache__/__init__.cpython-38.pyc 159B
  227. hat/data/collates/__pycache__/collates.cpython-38.pyc 31.22KB
  228. hat/data/collates/__pycache__/nusc_collates.cpython-38.pyc 1.85KB
  229. hat/data/dataloaders/
  230. hat/data/dataloaders/__init__.py 98B
  231. hat/data/dataloaders/passthrough_dataloader.py 948B
  232. hat/data/dataloaders/__pycache__/
  233. hat/data/dataloaders/__pycache__/__init__.cpython-38.pyc 162B
  234. hat/data/dataloaders/__pycache__/passthrough_dataloader.cpython-38.pyc 1.34KB
  235. hat/data/datasets/
  236. hat/data/datasets/__init__.py 98B
  237. hat/data/datasets/argoverse_dataset.py 43KB
  238. hat/data/datasets/batch_transform_dataset.py 2.33KB
  239. hat/data/datasets/carfusion_keypoints_dataset.py 8.07KB
  240. hat/data/datasets/cityscapes.py 4.61KB
  241. hat/data/datasets/culane_dataset.py 7.81KB
  242. hat/data/datasets/data_packer.py 5.72KB
  243. hat/data/datasets/dataset_wrappers.py 17.88KB
  244. hat/data/datasets/flyingchairs_dataset.py 12.57KB
  245. hat/data/datasets/imagenet.py 4.63KB
  246. hat/data/datasets/kitti2d.py 7.21KB
  247. hat/data/datasets/kitti3d.py 33.27KB
  248. hat/data/datasets/mot17_dataset.py 16.38KB
  249. hat/data/datasets/mscoco.py 9.62KB
  250. hat/data/datasets/nuscenes_dataset.py 91.61KB
  251. hat/data/datasets/rand_dataset.py 1.16KB
  252. hat/data/datasets/sceneflow_dataset.py 8.32KB
  253. hat/data/datasets/voc.py 8.18KB
  254. hat/data/datasets/__pycache__/
  255. hat/data/datasets/__pycache__/__init__.cpython-38.pyc 159B
  256. hat/data/datasets/__pycache__/argoverse_dataset.cpython-38.pyc 36.35KB
  257. hat/data/datasets/__pycache__/batch_transform_dataset.cpython-38.pyc 2.41KB
  258. hat/data/datasets/__pycache__/carfusion_keypoints_dataset.cpython-38.pyc 7.4KB
  259. hat/data/datasets/__pycache__/cityscapes.cpython-38.pyc 4.45KB
  260. hat/data/datasets/__pycache__/culane_dataset.cpython-38.pyc 7.31KB
  261. hat/data/datasets/__pycache__/data_packer.cpython-38.pyc 5.62KB
  262. hat/data/datasets/__pycache__/dataset_wrappers.cpython-38.pyc 16.53KB
  263. hat/data/datasets/__pycache__/flyingchairs_dataset.cpython-38.pyc 10.18KB
  264. hat/data/datasets/__pycache__/imagenet.cpython-38.pyc 4.96KB
  265. hat/data/datasets/__pycache__/kitti2d.cpython-38.pyc 7.06KB
  266. hat/data/datasets/__pycache__/kitti3d.cpython-38.pyc 25.95KB
  267. hat/data/datasets/__pycache__/mot17_dataset.cpython-38.pyc 12.17KB
  268. hat/data/datasets/__pycache__/mscoco.cpython-38.pyc 9.32KB
  269. hat/data/datasets/__pycache__/nuscenes_dataset.cpython-38.pyc 63.5KB
  270. hat/data/datasets/__pycache__/rand_dataset.cpython-38.pyc 1.96KB
  271. hat/data/datasets/__pycache__/sceneflow_dataset.cpython-38.pyc 8.39KB
  272. hat/data/datasets/__pycache__/voc.cpython-38.pyc 6.83KB
  273. hat/data/samplers/
  274. hat/data/samplers/__init__.py 98B
  275. hat/data/samplers/dist_cycle_sampler_multi_dataset.py 5.23KB
  276. hat/data/samplers/dist_group_sampler.py 4.54KB
  277. hat/data/samplers/dist_sampler.py 1.25KB
  278. hat/data/samplers/dist_set_epoch_dataset_sampler.py 1.1KB
  279. hat/data/samplers/selected_sampler.py 5.02KB
  280. hat/data/samplers/__pycache__/
  281. hat/data/samplers/__pycache__/__init__.cpython-38.pyc 159B
  282. hat/data/samplers/__pycache__/dist_cycle_sampler_multi_dataset.cpython-38.pyc 4.28KB
  283. hat/data/samplers/__pycache__/dist_group_sampler.cpython-38.pyc 4.08KB
  284. hat/data/samplers/__pycache__/dist_sampler.cpython-38.pyc 1.42KB
  285. hat/data/samplers/__pycache__/dist_set_epoch_dataset_sampler.cpython-38.pyc 1.43KB
  286. hat/data/samplers/__pycache__/selected_sampler.cpython-38.pyc 4.45KB
  287. hat/data/transforms/
  288. hat/data/transforms/__init__.py 98B
  289. hat/data/transforms/affine.py 48.25KB
  290. hat/data/transforms/bbox.py 2.48KB
  291. hat/data/transforms/classification.py 4.31KB
  292. hat/data/transforms/common.py 16.51KB
  293. hat/data/transforms/detection.py 185.35KB
  294. hat/data/transforms/faceid.py 21.67KB
  295. hat/data/transforms/functional_img.py 17.68KB
  296. hat/data/transforms/functional_target.py 686B
  297. hat/data/transforms/grid_mask.py 3.05KB
  298. hat/data/transforms/keypoints.py 4.75KB
  299. hat/data/transforms/lidar.py 24.56KB
  300. hat/data/transforms/multi_views.py 13.96KB
  301. hat/data/transforms/segmentation.py 39.23KB
  302. hat/data/transforms/seq_transform.py 12.28KB
  303. hat/data/transforms/__pycache__/
  304. hat/data/transforms/__pycache__/__init__.cpython-38.pyc 161B
  305. hat/data/transforms/__pycache__/affine.cpython-38.pyc 41.06KB
  306. hat/data/transforms/__pycache__/bbox.cpython-38.pyc 2.37KB
  307. hat/data/transforms/__pycache__/classification.cpython-38.pyc 4.64KB
  308. hat/data/transforms/__pycache__/common.cpython-38.pyc 17.3KB
  309. hat/data/transforms/__pycache__/detection.cpython-38.pyc 128.71KB
  310. hat/data/transforms/__pycache__/faceid.cpython-38.pyc 18.07KB
  311. hat/data/transforms/__pycache__/functional_img.cpython-38.pyc 12.86KB
  312. hat/data/transforms/__pycache__/functional_target.cpython-38.pyc 894B
  313. hat/data/transforms/__pycache__/grid_mask.cpython-38.pyc 2.88KB
  314. hat/data/transforms/__pycache__/keypoints.cpython-38.pyc 4.77KB
  315. hat/data/transforms/__pycache__/lidar.cpython-38.pyc 19.09KB
  316. hat/data/transforms/__pycache__/multi_views.cpython-38.pyc 13.58KB
  317. hat/data/transforms/__pycache__/segmentation.cpython-38.pyc 32.81KB
  318. hat/data/transforms/__pycache__/seq_transform.cpython-38.pyc 11.85KB
  319. hat/data/transforms/gaze/
  320. hat/data/transforms/gaze/__init__.py 378B
  321. hat/data/transforms/gaze/gaze.py 22.54KB
  322. hat/data/transforms/gaze/utils.py 7.22KB
  323. hat/data/transforms/gaze/__pycache__/
  324. hat/data/transforms/gaze/__pycache__/__init__.cpython-38.pyc 432B
  325. hat/data/transforms/gaze/__pycache__/gaze.cpython-38.pyc 17.79KB
  326. hat/data/transforms/gaze/__pycache__/utils.cpython-38.pyc 6.75KB
  327. hat/data/transforms/lidar_utils/
  328. hat/data/transforms/lidar_utils/__init__.py 809B
  329. hat/data/transforms/lidar_utils/lidar_transform_3d.py 21.91KB
  330. hat/data/transforms/lidar_utils/preprocess.py 45.43KB
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资源介绍:

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# Copyright (c) Horizon Robotics. All rights reserved. # Source code reference to mmdetection, gluoncv, gluonnas. import copy import inspect import logging import math import random from abc import abstractmethod from typing import Dict, List, Optional, Sequence, Tuple, Union import cv2 import numpy as np import torch import torchvision from hat.core.box_utils import bbox_overlaps, is_center_of_bboxes_in_roi from hat.data.transforms.functional_img import ( image_normalize, image_pad, imresize, imresize_pad_to_keep_ratio, random_flip, ) from hat.registry import OBJECT_REGISTRY from .affine import ( AffineAugMat, AffineMat2DGenerator, AffineMatFromROIBoxGenerator, AlphaImagePyramid, ImageAffineTransform, LabelAffineTransform, _pad_array, get_affine_image_resize, resize_affine_mat, ) from .bbox import ( clip_bbox, filter_bbox, remap_bbox_label_by_area, remap_bbox_label_by_clip_area_ratio, ) from .classification import BgrToYuv444, BgrToYuv444V2 from .common import Cast from .gaze import eye_ldmk_mirror try: import albumentations except ImportError: albumentations = None logger = logging.getLogger(__name__) __all__ = [ "Resize", "Resize3D", "RandomFlip", "Pad", "Normalize", "RandomCrop", "ToTensor", "Batchify", "FixedCrop", "PresetCrop", "ColorJitter", "RandomExpand", "MinIoURandomCrop", "AugmentHSV", "get_dynamic_roi_from_camera", "IterableDetRoITransform", "PadDetData", "ToFasterRCNNData", "ToMultiTaskFasterRCNNData", "PadTensorListToBatch", "PlainCopyPaste", "HueSaturationValue", "RGBShift", "MeanBlur", "MedianBlur", "RandomBrightnessContrast", "ShiftScaleRotate", "RandomResizedCrop", "AlbuImageOnlyTransform", "BoxJitter", "RandomSizeCrop", "DetYOLOv5MixUp", "DetYOLOXMixUp", "DetMosaic", "DetAffineAugTransformer", "IterableDetRoIListTransform", ] def _transform_bboxes( gt_boxes, ig_regions, img_roi, affine_aug_param, clip=True, min_valid_area=8, min_valid_clip_area_ratio=0.5, min_edge_size=2, complete_boxes=False, ): bbox_ts = LabelAffineTransform(label_type="box") ts_gt_boxes = bbox_ts( gt_boxes, affine_aug_param.mat, flip=affine_aug_param.flipped ) if clip: clip_gt_boxes = clip_bbox(ts_gt_boxes, img_roi, need_copy=True) else: clip_gt_boxes = ts_gt_boxes clip_gt_boxes = remap_bbox_label_by_area(clip_gt_boxes, min_valid_area) clip_gt_boxes = remap_bbox_label_by_clip_area_ratio( ts_gt_boxes, clip_gt_boxes, min_valid_clip_area_ratio ) if clip and complete_boxes: mask = filter_bbox( clip_gt_boxes, img_roi, allow_outside_center=True, min_edge_size=min_edge_size, return_mask=True, ) to_be_hard_flag = np.logical_and( clip_gt_boxes[:, 4] < 0, ts_gt_boxes[:, 4] > 0 ) ts_gt_boxes[to_be_hard_flag, 4] *= -1 clip_gt_boxes = ts_gt_boxes[mask] else: clip_gt_boxes = filter_bbox( clip_gt_boxes, img_roi, allow_outside_center=True, min_edge_size=min_edge_size, ) if ig_regions is not None: ts_ig_regions = bbox_ts( ig_regions, affine_aug_param.mat, flip=affine_aug_param.flipped ) if clip: clip_ig_regions = clip_bbox(ts_ig_regions, img_roi) else: clip_ig_regions = ts_ig_regions else: clip_ig_regions = None return clip_gt_boxes, clip_ig_regions @OBJECT_REGISTRY.register class Resize(object): """Resize image & bbox & mask & seg. .. note:: Affected keys: 'img', 'ori_img', 'img_shape', 'pad_shape', 'resized_shape', 'pad_shape', 'scale_factor', 'gt_bboxes', 'gt_seg', 'gt_ldmk'. Args: img_scale: See above. max_scale: The max size of image. If the image's shape > max_scale, The image is resized to max_scale multiscale_mode: Value must be one of "range" or "value". This transform resizes the input image and bbox to same scale factor. There are 3 multiscale modes: 'ratio_range' is not None: randomly sample a ratio from the ratio range and multiply with the image scale. e.g. Resize(img_scale=(400, 500)), multiscale_mode='range', ratio_range=(0.5, 2.0) 'ratio_range' is None and 'multiscale_mode' == "range": randomly sample a scale from a range, the length of img_scale[tuple] must be 2, which represent small img_scale and large img_scale. e.g. Resize(img_scale=((100, 200), (400,500)), multiscale_mode='range') 'ratio_range' is None and 'multiscale_mode' == "value": randomly sample a scale from multiple scales. e.g. Resize(img_scale=((100, 200), (300, 400), (400, 500)), multiscale_mode='value'))) ratio_range: Scale factor range like (min_ratio, max_ratio). keep_ratio: Whether to keep the aspect ratio when resizing the image. pad_to_keep_ratio: Whether to pad image to keep the same shape and aspect ratio when resizing the image to target shape. raw_scaler_enable: Whether to enable raw scaler when resize the image. sample1c_enable: Whether to sample one channel after resize the image. divisor: Width and height are rounded to multiples of `divisor`. rm_neg_coords: Whether to rm negative coordinates. """ def __init__( self, img_scale: Union[Sequence[int], Sequence[Sequence[int]]] = None, max_scale: Union[Sequence[int], Sequence[Sequence[int]]] = None, multiscale_mode: str = "range", ratio_range: Tuple[float, float] = None, keep_ratio: bool = True, pad_to_keep_ratio: bool = False, raw_scaler_enable: bool = False, sample1c_enable: bool = False, divisor: int = 1, rm_neg_coords: bool = True, split_transform: bool = False, split_trans_w: int = 256, split_trans_h: int = 256, ): if img_scale is None: self.img_scale = img_scale else: if isinstance(img_scale, (list, tuple)): if isinstance(img_scale[0], (tuple, list)): self.img_scale = img_scale else: self.img_scale = [img_scale] else: self.img_scale = [img_scale] for value in self.img_scale: assert isinstance(value, (tuple, list)), ( "you should set img_scale like a tupe/list or a list of " "tuple/list" ) self.max_scale = max_scale if ratio_range is not None: # mode 1: given a scale and a range of image ratio assert len(self.img_scale) == 1 else: # mode 2: given multiple scales or a range of scales assert multiscale_mode in ["value", "range", "max_size"] self.multiscale_mode = multiscale_mode self.ratio_range = ratio_range self.keep_ratio = keep_ratio self.pad_to_keep_ratio = pad_to_keep_ratio self.raw_scaler_enable = raw_scaler_enable self.sample1c_enable = sample1c_enable self.divisor = divisor self.rm_neg_coords = rm_neg_coords self.split_transform = split_transform self.split_trans_w = split_trans_w self.split_trans_h = split_trans_h @staticmethod def random_select(img_scales): scale_idx = np.random.randint(len(img_scales)) img_scale = img_scales[scale_idx] return img_scale, scale_idx @staticmethod def random_sample(img_scales): assert len(img_scales) == 2
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