batch_test_list.py 29 KB

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  1. # Copyright (c) OpenMMLab. All rights reserved.
  2. # missing wider_face/timm_example/strong_baselines/simple_copy_paste/
  3. # selfsup_pretrain/seesaw_loss/pascal_voc/openimages/lvis/ld/lad/cityscapes/deepfashion
  4. # yapf: disable
  5. atss = dict(
  6. config='configs/atss/atss_r50_fpn_1x_coco.py',
  7. checkpoint='atss_r50_fpn_1x_coco_20200209-985f7bd0.pth',
  8. url='https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r50_fpn_1x_coco/atss_r50_fpn_1x_coco_20200209-985f7bd0.pth', # noqa
  9. eval='bbox',
  10. metric=dict(bbox_mAP=39.4),
  11. )
  12. autoassign = dict(
  13. config='configs/autoassign/autoassign_r50-caffe_fpn_1x_coco.py',
  14. checkpoint='auto_assign_r50_fpn_1x_coco_20210413_115540-5e17991f.pth',
  15. url='https://download.openmmlab.com/mmdetection/v2.0/autoassign/auto_assign_r50_fpn_1x_coco/auto_assign_r50_fpn_1x_coco_20210413_115540-5e17991f.pth', # noqa
  16. eval='bbox',
  17. metric=dict(bbox_mAP=40.4),
  18. )
  19. carafe = dict(
  20. config='configs/carafe/faster-rcnn_r50_fpn-carafe_1x_coco.py',
  21. checkpoint='faster_rcnn_r50_fpn_carafe_1x_coco_bbox_mAP-0.386_20200504_175733-385a75b7.pth', # noqa
  22. url='https://download.openmmlab.com/mmdetection/v2.0/carafe/faster_rcnn_r50_fpn_carafe_1x_coco/faster_rcnn_r50_fpn_carafe_1x_coco_bbox_mAP-0.386_20200504_175733-385a75b7.pth', # noqa
  23. eval='bbox',
  24. metric=dict(bbox_mAP=38.6),
  25. )
  26. cascade_rcnn = [
  27. dict(
  28. config='configs/cascade_rcnn/cascade-rcnn_r50_fpn_1x_coco.py',
  29. checkpoint='cascade_rcnn_r50_fpn_1x_coco_20200316-3dc56deb.pth',
  30. eval='bbox',
  31. url='https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco/cascade_rcnn_r50_fpn_1x_coco_20200316-3dc56deb.pth', # noqa
  32. metric=dict(bbox_mAP=40.3),
  33. ),
  34. dict(
  35. config='configs/cascade_rcnn/cascade-mask-rcnn_r50_fpn_1x_coco.py',
  36. checkpoint='cascade_mask_rcnn_r50_fpn_1x_coco_20200203-9d4dcb24.pth',
  37. url='https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco/cascade_mask_rcnn_r50_fpn_1x_coco_20200203-9d4dcb24.pth', # noqa
  38. eval=['bbox', 'segm'],
  39. metric=dict(bbox_mAP=41.2, segm_mAP=35.9),
  40. ),
  41. ]
  42. cascade_rpn = dict(
  43. config='configs/cascade_rpn/cascade-rpn_faster-rcnn_r50-caffe_fpn_1x_coco.py', # noqa
  44. checkpoint='crpn_faster_rcnn_r50_caffe_fpn_1x_coco-c8283cca.pth',
  45. url='https://download.openmmlab.com/mmdetection/v2.0/cascade_rpn/crpn_faster_rcnn_r50_caffe_fpn_1x_coco/crpn_faster_rcnn_r50_caffe_fpn_1x_coco-c8283cca.pth', # noqa
  46. eval='bbox',
  47. metric=dict(bbox_mAP=40.4),
  48. )
  49. centernet = dict(
  50. config='configs/centernet/centernet_r18-dcnv2_8xb16-crop512-140e_coco.py',
  51. checkpoint='centernet_resnet18_dcnv2_140e_coco_20210702_155131-c8cd631f.pth', # noqa
  52. url='https://download.openmmlab.com/mmdetection/v2.0/centernet/centernet_resnet18_dcnv2_140e_coco/centernet_resnet18_dcnv2_140e_coco_20210702_155131-c8cd631f.pth', # noqa
  53. eval='bbox',
  54. metric=dict(bbox_mAP=29.5),
  55. )
  56. centripetalnet = dict(
  57. config='configs/centripetalnet/centripetalnet_hourglass104_16xb6-crop511-210e-mstest_coco.py', # noqa
  58. checkpoint='centripetalnet_hourglass104_mstest_16x6_210e_coco_20200915_204804-3ccc61e5.pth', # noqa
  59. url='https://download.openmmlab.com/mmdetection/v2.0/centripetalnet/centripetalnet_hourglass104_mstest_16x6_210e_coco/centripetalnet_hourglass104_mstest_16x6_210e_coco_20200915_204804-3ccc61e5.pth', # noqa
  60. eval='bbox',
  61. metric=dict(bbox_mAP=44.7),
  62. )
  63. convnext = dict(
  64. config='configs/convnext/cascade-mask-rcnn_convnext-s-p4-w7_fpn_4conv1fc-giou_amp-ms-crop-3x_coco.py', # noqa
  65. checkpoint='cascade_mask_rcnn_convnext-s_p4_w7_fpn_giou_4conv1f_fp16_ms-crop_3x_coco_20220510_201004-3d24f5a4.pth', # noqa
  66. url='https://download.openmmlab.com/mmdetection/v2.0/convnext/cascade_mask_rcnn_convnext-s_p4_w7_fpn_giou_4conv1f_fp16_ms-crop_3x_coco/cascade_mask_rcnn_convnext-s_p4_w7_fpn_giou_4conv1f_fp16_ms-crop_3x_coco_20220510_201004-3d24f5a4.pth', # noqa
  67. eval=['bbox', 'segm'],
  68. metric=dict(bbox_mAP=51.8, segm_mAP=44.8),
  69. )
  70. cornernet = dict(
  71. config='configs/cornernet/cornernet_hourglass104_8xb6-210e-mstest_coco.py',
  72. checkpoint='cornernet_hourglass104_mstest_8x6_210e_coco_20200825_150618-79b44c30.pth', # noqa
  73. url='https://download.openmmlab.com/mmdetection/v2.0/cornernet/cornernet_hourglass104_mstest_8x6_210e_coco/cornernet_hourglass104_mstest_8x6_210e_coco_20200825_150618-79b44c30.pth', # noqa
  74. eval='bbox',
  75. metric=dict(bbox_mAP=41.2),
  76. )
  77. dcn = dict(
  78. config='configs/dcn/faster-rcnn_r50-dconv-c3-c5_fpn_1x_coco.py',
  79. checkpoint='faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco_20200130-d68aed1e.pth',
  80. url='https://download.openmmlab.com/mmdetection/v2.0/dcn/faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco/faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco_20200130-d68aed1e.pth', # noqa
  81. eval='bbox',
  82. metric=dict(bbox_mAP=41.3),
  83. )
  84. dcnv2 = dict(
  85. config='configs/dcnv2/faster-rcnn_r50_fpn_mdpool_1x_coco.py',
  86. checkpoint='faster_rcnn_r50_fpn_mdpool_1x_coco_20200307-c0df27ff.pth',
  87. url='https://download.openmmlab.com/mmdetection/v2.0/dcn/faster_rcnn_r50_fpn_mdpool_1x_coco/faster_rcnn_r50_fpn_mdpool_1x_coco_20200307-c0df27ff.pth', # noqa
  88. eval='bbox',
  89. metric=dict(bbox_mAP=38.7),
  90. )
  91. ddod = dict(
  92. config='configs/ddod/ddod_r50_fpn_1x_coco.py',
  93. checkpoint='ddod_r50_fpn_1x_coco_20220523_223737-29b2fc67.pth',
  94. url='https://download.openmmlab.com/mmdetection/v2.0/ddod/ddod_r50_fpn_1x_coco/ddod_r50_fpn_1x_coco_20220523_223737-29b2fc67.pth', # noqa
  95. eval='bbox',
  96. metric=dict(bbox_mAP=41.7),
  97. )
  98. deformable_detr = dict(
  99. config='configs/deformable_detr/deformable-detr_r50_16xb2-50e_coco.py',
  100. checkpoint='deformable_detr_r50_16x2_50e_coco_20210419_220030-a12b9512.pth', # noqa
  101. url='https://download.openmmlab.com/mmdetection/v2.0/deformable_detr/deformable_detr_r50_16x2_50e_coco/deformable_detr_r50_16x2_50e_coco_20210419_220030-a12b9512.pth', # noqa
  102. eval='bbox',
  103. metric=dict(bbox_mAP=44.5),
  104. )
  105. detectors = dict(
  106. config='configs/detectors/detectors_htc-r50_1x_coco.py',
  107. checkpoint='detectors_htc_r50_1x_coco-329b1453.pth',
  108. url='https://download.openmmlab.com/mmdetection/v2.0/detectors/detectors_htc_r50_1x_coco/detectors_htc_r50_1x_coco-329b1453.pth', # noqa
  109. eval=['bbox', 'segm'],
  110. metric=dict(bbox_mAP=49.1, segm_mAP=42.6),
  111. )
  112. detr = dict(
  113. config='configs/detr/detr_r50_8xb2-150e_coco.py',
  114. checkpoint='detr_r50_8x2_150e_coco_20201130_194835-2c4b8974.pth',
  115. url='https://download.openmmlab.com/mmdetection/v2.0/detr/detr_r50_8x2_150e_coco/detr_r50_8x2_150e_coco_20201130_194835-2c4b8974.pth', # noqa
  116. eval='bbox',
  117. metric=dict(bbox_mAP=40.1),
  118. )
  119. double_heads = dict(
  120. config='configs/double_heads/dh-faster-rcnn_r50_fpn_1x_coco.py',
  121. checkpoint='dh_faster_rcnn_r50_fpn_1x_coco_20200130-586b67df.pth',
  122. url='https://download.openmmlab.com/mmdetection/v2.0/double_heads/dh_faster_rcnn_r50_fpn_1x_coco/dh_faster_rcnn_r50_fpn_1x_coco_20200130-586b67df.pth', # noqa
  123. eval='bbox',
  124. metric=dict(bbox_mAP=40.0),
  125. )
  126. dyhead = dict(
  127. config='configs/dyhead/atss_r50_fpn_dyhead_1x_coco.py',
  128. checkpoint='atss_r50_fpn_dyhead_4x4_1x_coco_20211219_023314-eaa620c6.pth',
  129. url='https://download.openmmlab.com/mmdetection/v2.0/dyhead/atss_r50_fpn_dyhead_4x4_1x_coco/atss_r50_fpn_dyhead_4x4_1x_coco_20211219_023314-eaa620c6.pth', # noqa
  130. eval='bbox',
  131. metric=dict(bbox_mAP=43.3),
  132. )
  133. dynamic_rcnn = dict(
  134. config='configs/dynamic_rcnn/dynamic-rcnn_r50_fpn_1x_coco.py',
  135. checkpoint='dynamic_rcnn_r50_fpn_1x-62a3f276.pth',
  136. url='https://download.openmmlab.com/mmdetection/v2.0/dynamic_rcnn/dynamic_rcnn_r50_fpn_1x/dynamic_rcnn_r50_fpn_1x-62a3f276.pth', # noqa
  137. eval='bbox',
  138. metric=dict(bbox_mAP=38.9),
  139. )
  140. efficientnet = dict(
  141. config='configs/efficientnet/retinanet_effb3_fpn_8xb4-crop896-1x_coco.py',
  142. checkpoint='retinanet_effb3_fpn_crop896_8x4_1x_coco_20220322_234806-615a0dda.pth', # noqa
  143. url='https://download.openmmlab.com/mmdetection/v2.0/efficientnet/retinanet_effb3_fpn_crop896_8x4_1x_coco/retinanet_effb3_fpn_crop896_8x4_1x_coco_20220322_234806-615a0dda.pth', # noqa
  144. eval='bbox',
  145. metric=dict(bbox_mAP=40.5),
  146. )
  147. empirical_attention = dict(
  148. config='configs/empirical_attention/faster-rcnn_r50-attn1111_fpn_1x_coco.py', # noqa
  149. checkpoint='faster_rcnn_r50_fpn_attention_1111_1x_coco_20200130-403cccba.pth', # noqa
  150. url='https://download.openmmlab.com/mmdetection/v2.0/empirical_attention/faster_rcnn_r50_fpn_attention_1111_1x_coco/faster_rcnn_r50_fpn_attention_1111_1x_coco_20200130-403cccba.pth', # noqa
  151. eval='bbox',
  152. metric=dict(bbox_mAP=40.0),
  153. )
  154. faster_rcnn = dict(
  155. config='configs/faster_rcnn/faster-rcnn_r50_fpn_1x_coco.py',
  156. checkpoint='faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth',
  157. url='https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth', # noqa
  158. eval='bbox',
  159. metric=dict(bbox_mAP=37.4),
  160. )
  161. fcos = dict(
  162. config='configs/fcos/fcos_r50-caffe_fpn_gn-head-center-normbbox-centeronreg-giou_1x_coco.py', # noqa
  163. checkpoint='fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco-0a0d75a8.pth', # noqa
  164. url='https://download.openmmlab.com/mmdetection/v2.0/fcos/fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco/fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco-0a0d75a8.pth', # noqa
  165. eval='bbox',
  166. metric=dict(bbox_mAP=38.7),
  167. )
  168. foveabox = dict(
  169. config='configs/foveabox/fovea_r50_fpn_gn-head-align_4xb4-2x_coco.py',
  170. checkpoint='fovea_align_r50_fpn_gn-head_4x4_2x_coco_20200203-8987880d.pth',
  171. url='https://download.openmmlab.com/mmdetection/v2.0/foveabox/fovea_align_r50_fpn_gn-head_4x4_2x_coco/fovea_align_r50_fpn_gn-head_4x4_2x_coco_20200203-8987880d.pth', # noqa
  172. eval='bbox',
  173. metric=dict(bbox_mAP=37.9),
  174. )
  175. fpg = dict(
  176. config='configs/fpg/mask-rcnn_r50_fpg_crop640-50e_coco.py',
  177. checkpoint='mask_rcnn_r50_fpg_crop640_50e_coco_20220311_011857-233b8334.pth', # noqa
  178. url='https://download.openmmlab.com/mmdetection/v2.0/fpg/mask_rcnn_r50_fpg_crop640_50e_coco/mask_rcnn_r50_fpg_crop640_50e_coco_20220311_011857-233b8334.pth', # noqa
  179. eval=['bbox', 'segm'],
  180. metric=dict(bbox_mAP=43.0, segm_mAP=38.1),
  181. )
  182. free_anchor = dict(
  183. config='configs/free_anchor/freeanchor_r50_fpn_1x_coco.py',
  184. checkpoint='retinanet_free_anchor_r50_fpn_1x_coco_20200130-0f67375f.pth',
  185. url='https://download.openmmlab.com/mmdetection/v2.0/free_anchor/retinanet_free_anchor_r50_fpn_1x_coco/retinanet_free_anchor_r50_fpn_1x_coco_20200130-0f67375f.pth', # noqa
  186. eval='bbox',
  187. metric=dict(bbox_mAP=38.7),
  188. )
  189. fsaf = dict(
  190. config='configs/fsaf/fsaf_r50_fpn_1x_coco.py',
  191. checkpoint='fsaf_r50_fpn_1x_coco-94ccc51f.pth',
  192. url='https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_r50_fpn_1x_coco/fsaf_r50_fpn_1x_coco-94ccc51f.pth', # noqa
  193. eval='bbox',
  194. metric=dict(bbox_mAP=37.4),
  195. )
  196. gcnet = dict(
  197. config='configs/gcnet/mask-rcnn_r50-syncbn-gcb-r16-c3-c5_fpn_1x_coco.py', # noqa
  198. checkpoint='mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco_20200202-587b99aa.pth', # noqa
  199. url='https://download.openmmlab.com/mmdetection/v2.0/gcnet/mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco/mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco_20200202-587b99aa.pth', # noqa
  200. eval=['bbox', 'segm'],
  201. metric=dict(bbox_mAP=40.4, segm_mAP=36.2),
  202. )
  203. gfl = dict(
  204. config='configs/gfl/gfl_r50_fpn_1x_coco.py',
  205. checkpoint='gfl_r50_fpn_1x_coco_20200629_121244-25944287.pth',
  206. url='https://download.openmmlab.com/mmdetection/v2.0/gfl/gfl_r50_fpn_1x_coco/gfl_r50_fpn_1x_coco_20200629_121244-25944287.pth', # noqa
  207. eval='bbox',
  208. metric=dict(bbox_mAP=40.2),
  209. )
  210. ghm = dict(
  211. config='configs/ghm/retinanet_r50_fpn_ghm-1x_coco.py',
  212. checkpoint='retinanet_ghm_r50_fpn_1x_coco_20200130-a437fda3.pth',
  213. url='https://download.openmmlab.com/mmdetection/v2.0/ghm/retinanet_ghm_r50_fpn_1x_coco/retinanet_ghm_r50_fpn_1x_coco_20200130-a437fda3.pth', # noqa
  214. eval='bbox',
  215. metric=dict(bbox_mAP=37.0),
  216. )
  217. gn = dict(
  218. config='configs/gn/mask-rcnn_r50_fpn_gn-all_2x_coco.py',
  219. checkpoint='mask_rcnn_r50_fpn_gn-all_2x_coco_20200206-8eee02a6.pth',
  220. url='https://download.openmmlab.com/mmdetection/v2.0/gn/mask_rcnn_r50_fpn_gn-all_2x_coco/mask_rcnn_r50_fpn_gn-all_2x_coco_20200206-8eee02a6.pth', # noqa
  221. eval=['bbox', 'segm'],
  222. metric=dict(bbox_mAP=40.1, segm_mAP=36.4),
  223. )
  224. gn_ws = dict(
  225. config='configs/gn+ws/faster-rcnn_r50_fpn_gn-ws-all_1x_coco.py',
  226. checkpoint='faster_rcnn_r50_fpn_gn_ws-all_1x_coco_20200130-613d9fe2.pth',
  227. url='https://download.openmmlab.com/mmdetection/v2.0/gn%2Bws/faster_rcnn_r50_fpn_gn_ws-all_1x_coco/faster_rcnn_r50_fpn_gn_ws-all_1x_coco_20200130-613d9fe2.pth', # noqa
  228. eval='bbox',
  229. metric=dict(bbox_mAP=39.7),
  230. )
  231. grid_rcnn = dict(
  232. config='configs/grid_rcnn/grid-rcnn_r50_fpn_gn-head_2x_coco.py',
  233. checkpoint='grid_rcnn_r50_fpn_gn-head_2x_coco_20200130-6cca8223.pth',
  234. url='https://download.openmmlab.com/mmdetection/v2.0/grid_rcnn/grid_rcnn_r50_fpn_gn-head_2x_coco/grid_rcnn_r50_fpn_gn-head_2x_coco_20200130-6cca8223.pth', # noqa
  235. eval='bbox',
  236. metric=dict(bbox_mAP=40.4),
  237. )
  238. groie = dict(
  239. config='configs/groie/faste-rcnn_r50_fpn_groie_1x_coco.py',
  240. checkpoint='faster_rcnn_r50_fpn_groie_1x_coco_20200604_211715-66ee9516.pth', # noqa
  241. url='https://download.openmmlab.com/mmdetection/v2.0/groie/faster_rcnn_r50_fpn_groie_1x_coco/faster_rcnn_r50_fpn_groie_1x_coco_20200604_211715-66ee9516.pth', # noqa
  242. eval='bbox',
  243. metric=dict(bbox_mAP=38.3),
  244. )
  245. guided_anchoring = dict(
  246. config='configs/guided_anchoring/ga-retinanet_r50-caffe_fpn_1x_coco.py', # noqa
  247. checkpoint='ga_retinanet_r50_caffe_fpn_1x_coco_20201020-39581c6f.pth',
  248. url='https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_retinanet_r50_caffe_fpn_1x_coco/ga_retinanet_r50_caffe_fpn_1x_coco_20201020-39581c6f.pth', # noqa
  249. eval='bbox',
  250. metric=dict(bbox_mAP=36.9),
  251. )
  252. hrnet = dict(
  253. config='configs/hrnet/faster-rcnn_hrnetv2p-w18-1x_coco.py',
  254. checkpoint='faster_rcnn_hrnetv2p_w18_1x_coco_20200130-56651a6d.pth',
  255. url='https://download.openmmlab.com/mmdetection/v2.0/hrnet/faster_rcnn_hrnetv2p_w18_1x_coco/faster_rcnn_hrnetv2p_w18_1x_coco_20200130-56651a6d.pth', # noqa
  256. eval='bbox',
  257. metric=dict(bbox_mAP=36.9),
  258. )
  259. htc = dict(
  260. config='configs/htc/htc_r50_fpn_1x_coco.py',
  261. checkpoint='htc_r50_fpn_1x_coco_20200317-7332cf16.pth',
  262. url='https://download.openmmlab.com/mmdetection/v2.0/htc/htc_r50_fpn_1x_coco/htc_r50_fpn_1x_coco_20200317-7332cf16.pth', # noqa
  263. eval=['bbox', 'segm'],
  264. metric=dict(bbox_mAP=42.3, segm_mAP=37.4),
  265. )
  266. instaboost = dict(
  267. config='configs/instaboost/mask-rcnn_r50_fpn_instaboost-4x_coco.py',
  268. checkpoint='mask_rcnn_r50_fpn_instaboost_4x_coco_20200307-d025f83a.pth',
  269. url='https://download.openmmlab.com/mmdetection/v2.0/instaboost/mask_rcnn_r50_fpn_instaboost_4x_coco/mask_rcnn_r50_fpn_instaboost_4x_coco_20200307-d025f83a.pth', # noqa
  270. eval=['bbox', 'segm'],
  271. metric=dict(bbox_mAP=40.6, segm_mAP=36.6),
  272. )
  273. libra_rcnn = dict(
  274. config='configs/libra_rcnn/libra-faster-rcnn_r50_fpn_1x_coco.py',
  275. checkpoint='libra_faster_rcnn_r50_fpn_1x_coco_20200130-3afee3a9.pth',
  276. url='https://download.openmmlab.com/mmdetection/v2.0/libra_rcnn/libra_faster_rcnn_r50_fpn_1x_coco/libra_faster_rcnn_r50_fpn_1x_coco_20200130-3afee3a9.pth', # noqa
  277. eval='bbox',
  278. metric=dict(bbox_mAP=38.3),
  279. )
  280. mask2former = dict(
  281. config='configs/mask2former/mask2former_r50_8xb2-lsj-50e_coco-panoptic.py',
  282. checkpoint='mask2former_r50_lsj_8x2_50e_coco-panoptic_20220326_224516-11a44721.pth', # noqa
  283. url='https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_r50_lsj_8x2_50e_coco-panoptic/mask2former_r50_lsj_8x2_50e_coco-panoptic_20220326_224516-11a44721.pth', # noqa
  284. eval=['bbox', 'segm', 'PQ'],
  285. metric=dict(PQ=51.9, bbox_mAP=44.8, segm_mAP=41.9),
  286. )
  287. mask_rcnn = dict(
  288. config='configs/mask_rcnn/mask-rcnn_r50_fpn_1x_coco.py',
  289. checkpoint='mask_rcnn_r50_fpn_1x_coco_20200205-d4b0c5d6.pth',
  290. url='https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_fpn_1x_coco/mask_rcnn_r50_fpn_1x_coco_20200205-d4b0c5d6.pth', # noqa
  291. eval=['bbox', 'segm'],
  292. metric=dict(bbox_mAP=38.2, segm_mAP=34.7),
  293. )
  294. maskformer = dict(
  295. config='configs/maskformer/maskformer_r50_ms-16xb1-75e_coco.py',
  296. checkpoint='maskformer_r50_mstrain_16x1_75e_coco_20220221_141956-bc2699cb.pth', # noqa
  297. url='https://download.openmmlab.com/mmdetection/v2.0/maskformer/maskformer_r50_mstrain_16x1_75e_coco/maskformer_r50_mstrain_16x1_75e_coco_20220221_141956-bc2699cb.pth', # noqa
  298. eval='PQ',
  299. metric=dict(PQ=46.9),
  300. )
  301. ms_rcnn = dict(
  302. config='configs/ms_rcnn/ms-rcnn_r50-caffe_fpn_1x_coco.py',
  303. checkpoint='ms_rcnn_r50_caffe_fpn_1x_coco_20200702_180848-61c9355e.pth',
  304. url='https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x_coco/ms_rcnn_r50_caffe_fpn_1x_coco_20200702_180848-61c9355e.pth', # noqa
  305. eval=['bbox', 'segm'],
  306. metric=dict(bbox_mAP=38.2, segm_mAP=36.0),
  307. )
  308. nas_fcos = dict(
  309. config='configs/nas_fcos/nas-fcos_r50-caffe_fpn_nashead-gn-head_4xb4-1x_coco.py', # noqa
  310. checkpoint='nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco_20200520-1bdba3ce.pth', # noqa
  311. url='https://download.openmmlab.com/mmdetection/v2.0/nas_fcos/nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco/nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco_20200520-1bdba3ce.pth', # noqa
  312. eval='bbox',
  313. metric=dict(bbox_mAP=39.4),
  314. )
  315. nas_fpn = dict(
  316. config='configs/nas_fpn/retinanet_r50_nasfpn_crop640-50e_coco.py',
  317. checkpoint='retinanet_r50_nasfpn_crop640_50e_coco-0ad1f644.pth',
  318. url='https://download.openmmlab.com/mmdetection/v2.0/nas_fpn/retinanet_r50_nasfpn_crop640_50e_coco/retinanet_r50_nasfpn_crop640_50e_coco-0ad1f644.pth', # noqa
  319. eval='bbox',
  320. metric=dict(bbox_mAP=40.5),
  321. )
  322. paa = dict(
  323. config='configs/paa/paa_r50_fpn_1x_coco.py',
  324. checkpoint='paa_r50_fpn_1x_coco_20200821-936edec3.pth',
  325. url='https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1x_coco/paa_r50_fpn_1x_coco_20200821-936edec3.pth', # noqa
  326. eval='bbox',
  327. metric=dict(bbox_mAP=40.4),
  328. )
  329. pafpn = dict(
  330. config='configs/pafpn/faster-rcnn_r50_pafpn_1x_coco.py',
  331. checkpoint='faster_rcnn_r50_pafpn_1x_coco_bbox_mAP-0.375_20200503_105836-b7b4b9bd.pth', # noqa
  332. url='https://download.openmmlab.com/mmdetection/v2.0/pafpn/faster_rcnn_r50_pafpn_1x_coco/faster_rcnn_r50_pafpn_1x_coco_bbox_mAP-0.375_20200503_105836-b7b4b9bd.pth', # noqa
  333. eval='bbox',
  334. metric=dict(bbox_mAP=37.5),
  335. )
  336. panoptic_fpn = dict(
  337. config='configs/panoptic_fpn/panoptic-fpn_r50_fpn_1x_coco.py',
  338. checkpoint='panoptic_fpn_r50_fpn_1x_coco_20210821_101153-9668fd13.pth',
  339. url='https://download.openmmlab.com/mmdetection/v2.0/panoptic_fpn/panoptic_fpn_r50_fpn_1x_coco/panoptic_fpn_r50_fpn_1x_coco_20210821_101153-9668fd13.pth', # noqa
  340. eval='PQ',
  341. metric=dict(PQ=40.2),
  342. )
  343. pisa = dict(
  344. config='configs/pisa/faster-rcnn_r50_fpn_pisa_1x_coco.py',
  345. checkpoint='pisa_faster_rcnn_r50_fpn_1x_coco-dea93523.pth',
  346. url='https://download.openmmlab.com/mmdetection/v2.0/pisa/pisa_faster_rcnn_r50_fpn_1x_coco/pisa_faster_rcnn_r50_fpn_1x_coco-dea93523.pth', # noqa
  347. eval='bbox',
  348. metric=dict(bbox_mAP=38.4),
  349. )
  350. point_rend = dict(
  351. config='configs/point_rend/point-rend_r50-caffe_fpn_ms-1x_coco.py',
  352. checkpoint='point_rend_r50_caffe_fpn_mstrain_1x_coco-1bcb5fb4.pth',
  353. url='https://download.openmmlab.com/mmdetection/v2.0/point_rend/point_rend_r50_caffe_fpn_mstrain_1x_coco/point_rend_r50_caffe_fpn_mstrain_1x_coco-1bcb5fb4.pth', # noqa
  354. eval=['bbox', 'segm'],
  355. metric=dict(bbox_mAP=38.4, segm_mAP=36.3),
  356. )
  357. pvt = dict(
  358. config='configs/pvt/retinanet_pvt-s_fpn_1x_coco.py',
  359. checkpoint='retinanet_pvt-s_fpn_1x_coco_20210906_142921-b6c94a5b.pth',
  360. url='https://download.openmmlab.com/mmdetection/v2.0/pvt/retinanet_pvt-s_fpn_1x_coco/retinanet_pvt-s_fpn_1x_coco_20210906_142921-b6c94a5b.pth', # noqa
  361. eval='bbox',
  362. metric=dict(bbox_mAP=40.4),
  363. )
  364. queryinst = dict(
  365. config='configs/queryinst/queryinst_r50_fpn_1x_coco.py',
  366. checkpoint='queryinst_r50_fpn_1x_coco_20210907_084916-5a8f1998.pth',
  367. url='https://download.openmmlab.com/mmdetection/v2.0/queryinst/queryinst_r50_fpn_1x_coco/queryinst_r50_fpn_1x_coco_20210907_084916-5a8f1998.pth', # noqa
  368. eval=['bbox', 'segm'],
  369. metric=dict(bbox_mAP=42.0, segm_mAP=37.5),
  370. )
  371. regnet = dict(
  372. config='configs/regnet/mask-rcnn_regnetx-3.2GF_fpn_1x_coco.py',
  373. checkpoint='mask_rcnn_regnetx-3.2GF_fpn_1x_coco_20200520_163141-2a9d1814.pth', # noqa
  374. url='https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-3.2GF_fpn_1x_coco/mask_rcnn_regnetx-3.2GF_fpn_1x_coco_20200520_163141-2a9d1814.pth', # noqa
  375. eval=['bbox', 'segm'],
  376. metric=dict(bbox_mAP=40.4, segm_mAP=36.7),
  377. )
  378. reppoints = dict(
  379. config='configs/reppoints/reppoints-moment_r50_fpn_1x_coco.py',
  380. checkpoint='reppoints_moment_r50_fpn_1x_coco_20200330-b73db8d1.pth',
  381. url='https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_1x_coco/reppoints_moment_r50_fpn_1x_coco_20200330-b73db8d1.pth', # noqa
  382. eval='bbox',
  383. metric=dict(bbox_mAP=37.0),
  384. )
  385. res2net = dict(
  386. config='configs/res2net/faster-rcnn_res2net-101_fpn_2x_coco.py',
  387. checkpoint='faster_rcnn_r2_101_fpn_2x_coco-175f1da6.pth',
  388. url='https://download.openmmlab.com/mmdetection/v2.0/res2net/faster_rcnn_r2_101_fpn_2x_coco/faster_rcnn_r2_101_fpn_2x_coco-175f1da6.pth', # noqa
  389. eval='bbox',
  390. metric=dict(bbox_mAP=43.0),
  391. )
  392. resnest = dict(
  393. config='configs/resnest/faster-rcnn_s50_fpn_syncbn-backbone+head_ms-range-1x_coco.py', # noqa
  394. checkpoint='faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco_20200926_125502-20289c16.pth', # noqa
  395. url='https://download.openmmlab.com/mmdetection/v2.0/resnest/faster_rcnn_s50_fpn_syncbn-backbone%2Bhead_mstrain-range_1x_coco/faster_rcnn_s50_fpn_syncbn-backbone%2Bhead_mstrain-range_1x_coco_20200926_125502-20289c16.pth', # noqa
  396. eval='bbox',
  397. metric=dict(bbox_mAP=42.0),
  398. )
  399. resnet_strikes_back = dict(
  400. config='configs/resnet_strikes_back/mask-rcnn_r50-rsb-pre_fpn_1x_coco.py', # noqa
  401. checkpoint='mask_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_174054-06ce8ba0.pth', # noqa
  402. url='https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/mask_rcnn_r50_fpn_rsb-pretrain_1x_coco/mask_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_174054-06ce8ba0.pth', # noqa
  403. eval=['bbox', 'segm'],
  404. metric=dict(bbox_mAP=41.2, segm_mAP=38.2),
  405. )
  406. retinanet = dict(
  407. config='configs/retinanet/retinanet_r50_fpn_1x_coco.py',
  408. checkpoint='retinanet_r50_fpn_1x_coco_20200130-c2398f9e.pth',
  409. url='https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r50_fpn_1x_coco/retinanet_r50_fpn_1x_coco_20200130-c2398f9e.pth', # noqa
  410. eval='bbox',
  411. metric=dict(bbox_mAP=36.5),
  412. )
  413. rpn = dict(
  414. config='configs/rpn/rpn_r50_fpn_1x_coco.py',
  415. checkpoint='rpn_r50_fpn_1x_coco_20200218-5525fa2e.pth',
  416. url='https://download.openmmlab.com/mmdetection/v2.0/rpn/rpn_r50_fpn_1x_coco/rpn_r50_fpn_1x_coco_20200218-5525fa2e.pth', # noqa
  417. eval='proposal_fast',
  418. metric=dict(AR_1000=58.2),
  419. )
  420. sabl = [
  421. dict(
  422. config='configs/sabl/sabl-retinanet_r50_fpn_1x_coco.py',
  423. checkpoint='sabl_retinanet_r50_fpn_1x_coco-6c54fd4f.pth',
  424. url='https://download.openmmlab.com/mmdetection/v2.0/sabl/sabl_retinanet_r50_fpn_1x_coco/sabl_retinanet_r50_fpn_1x_coco-6c54fd4f.pth', # noqa
  425. eval='bbox',
  426. metric=dict(bbox_mAP=37.7),
  427. ),
  428. dict(
  429. config='configs/sabl/sabl-faster-rcnn_r50_fpn_1x_coco.py',
  430. checkpoint='sabl_faster_rcnn_r50_fpn_1x_coco-e867595b.pth',
  431. url='https://download.openmmlab.com/mmdetection/v2.0/sabl/sabl_faster_rcnn_r50_fpn_1x_coco/sabl_faster_rcnn_r50_fpn_1x_coco-e867595b.pth', # noqa
  432. eval='bbox',
  433. metric=dict(bbox_mAP=39.9),
  434. ),
  435. ]
  436. scnet = dict(
  437. config='configs/scnet/scnet_r50_fpn_1x_coco.py',
  438. checkpoint='scnet_r50_fpn_1x_coco-c3f09857.pth',
  439. url='https://download.openmmlab.com/mmdetection/v2.0/scnet/scnet_r50_fpn_1x_coco/scnet_r50_fpn_1x_coco-c3f09857.pth', # noqa
  440. eval='bbox',
  441. metric=dict(bbox_mAP=43.5),
  442. )
  443. scratch = dict(
  444. config='configs/scratch/mask-rcnn_r50-scratch_fpn_gn-all_6x_coco.py',
  445. checkpoint='scratch_mask_rcnn_r50_fpn_gn_6x_bbox_mAP-0.412__segm_mAP-0.374_20200201_193051-1e190a40.pth', # noqa
  446. url='https://download.openmmlab.com/mmdetection/v2.0/scratch/mask_rcnn_r50_fpn_gn-all_scratch_6x_coco/scratch_mask_rcnn_r50_fpn_gn_6x_bbox_mAP-0.412__segm_mAP-0.374_20200201_193051-1e190a40.pth', # noqa
  447. eval=['bbox', 'segm'],
  448. metric=dict(bbox_mAP=41.2, segm_mAP=37.4),
  449. )
  450. solo = dict(
  451. config='configs/solo/decoupled-solo_r50_fpn_1x_coco.py',
  452. checkpoint='decoupled_solo_r50_fpn_1x_coco_20210820_233348-6337c589.pth',
  453. url='https://download.openmmlab.com/mmdetection/v2.0/solo/decoupled_solo_r50_fpn_1x_coco/decoupled_solo_r50_fpn_1x_coco_20210820_233348-6337c589.pth', # noqa
  454. eval='segm',
  455. metric=dict(segm_mAP=33.9),
  456. )
  457. solov2 = dict(
  458. config='configs/solov2/solov2_r50_fpn_1x_coco.py',
  459. checkpoint='solov2_r50_fpn_1x_coco_20220512_125858-a357fa23.pth',
  460. url='https://download.openmmlab.com/mmdetection/v2.0/solov2/solov2_r50_fpn_1x_coco/solov2_r50_fpn_1x_coco_20220512_125858-a357fa23.pth', # noqa
  461. eval='segm',
  462. metric=dict(segm_mAP=34.8),
  463. )
  464. sparse_rcnn = dict(
  465. config='configs/sparse_rcnn/sparse-rcnn_r50_fpn_1x_coco.py',
  466. checkpoint='sparse_rcnn_r50_fpn_1x_coco_20201222_214453-dc79b137.pth',
  467. url='https://download.openmmlab.com/mmdetection/v2.0/sparse_rcnn/sparse_rcnn_r50_fpn_1x_coco/sparse_rcnn_r50_fpn_1x_coco_20201222_214453-dc79b137.pth', # noqa
  468. eval='bbox',
  469. metric=dict(bbox_mAP=37.9),
  470. )
  471. ssd = [
  472. dict(
  473. config='configs/ssd/ssd300_coco.py',
  474. checkpoint='ssd300_coco_20210803_015428-d231a06e.pth',
  475. url='https://download.openmmlab.com/mmdetection/v2.0/ssd/ssd300_coco/ssd300_coco_20210803_015428-d231a06e.pth', # noqa
  476. eval='bbox',
  477. metric=dict(bbox_mAP=25.5),
  478. ),
  479. dict(
  480. config='configs/ssd/ssdlite_mobilenetv2-scratch_8xb24-600e_coco.py',
  481. checkpoint='ssdlite_mobilenetv2_scratch_600e_coco_20210629_110627-974d9307.pth', # noqa
  482. url='https://download.openmmlab.com/mmdetection/v2.0/ssd/ssdlite_mobilenetv2_scratch_600e_coco/ssdlite_mobilenetv2_scratch_600e_coco_20210629_110627-974d9307.pth', # noqa
  483. eval='bbox',
  484. metric=dict(bbox_mAP=21.3),
  485. ),
  486. ]
  487. swin = dict(
  488. config='configs/swin/mask-rcnn_swin-t-p4-w7_fpn_1x_coco.py',
  489. checkpoint='mask_rcnn_swin-t-p4-w7_fpn_1x_coco_20210902_120937-9d6b7cfa.pth', # noqa
  490. url='https://download.openmmlab.com/mmdetection/v2.0/swin/mask_rcnn_swin-t-p4-w7_fpn_1x_coco/mask_rcnn_swin-t-p4-w7_fpn_1x_coco_20210902_120937-9d6b7cfa.pth', # noqa
  491. eval=['bbox', 'segm'],
  492. metric=dict(bbox_mAP=42.7, segm_mAP=39.3),
  493. )
  494. tood = dict(
  495. config='configs/tood/tood_r50_fpn_1x_coco.py',
  496. checkpoint='tood_r50_fpn_1x_coco_20211210_103425-20e20746.pth',
  497. url='https://download.openmmlab.com/mmdetection/v2.0/tood/tood_r50_fpn_1x_coco/tood_r50_fpn_1x_coco_20211210_103425-20e20746.pth', # noqa
  498. eval='bbox',
  499. metric=dict(bbox_mAP=42.4),
  500. )
  501. tridentnet = dict(
  502. config='configs/tridentnet/tridentnet_r50-caffe_1x_coco.py',
  503. checkpoint='tridentnet_r50_caffe_1x_coco_20201230_141838-2ec0b530.pth',
  504. url='https://download.openmmlab.com/mmdetection/v2.0/tridentnet/tridentnet_r50_caffe_1x_coco/tridentnet_r50_caffe_1x_coco_20201230_141838-2ec0b530.pth', # noqa
  505. eval='bbox',
  506. metric=dict(bbox_mAP=37.6),
  507. )
  508. vfnet = dict(
  509. config='configs/vfnet/vfnet_r50_fpn_1x_coco.py',
  510. checkpoint='vfnet_r50_fpn_1x_coco_20201027-38db6f58.pth',
  511. url='https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_r50_fpn_1x_coco/vfnet_r50_fpn_1x_coco_20201027-38db6f58.pth', # noqa
  512. eval='bbox',
  513. metric=dict(bbox_mAP=41.6),
  514. )
  515. yolact = dict(
  516. config='configs/yolact/yolact_r50_1xb8-55e_coco.py',
  517. checkpoint='yolact_r50_1x8_coco_20200908-f38d58df.pth',
  518. url='https://download.openmmlab.com/mmdetection/v2.0/yolact/yolact_r50_1x8_coco/yolact_r50_1x8_coco_20200908-f38d58df.pth', # noqa
  519. eval=['bbox', 'segm'],
  520. metric=dict(bbox_mAP=31.2, segm_mAP=29.0),
  521. )
  522. yolo = dict(
  523. config='configs/yolo/yolov3_d53_8xb8-320-273e_coco.py',
  524. checkpoint='yolov3_d53_320_273e_coco-421362b6.pth',
  525. url='https://download.openmmlab.com/mmdetection/v2.0/yolo/yolov3_d53_320_273e_coco/yolov3_d53_320_273e_coco-421362b6.pth', # noqa
  526. eval='bbox',
  527. metric=dict(bbox_mAP=27.9),
  528. )
  529. yolof = dict(
  530. config='configs/yolof/yolof_r50-c5_8xb8-1x_coco.py',
  531. checkpoint='yolof_r50_c5_8x8_1x_coco_20210425_024427-8e864411.pth',
  532. url='https://download.openmmlab.com/mmdetection/v2.0/yolof/yolof_r50_c5_8x8_1x_coco/yolof_r50_c5_8x8_1x_coco_20210425_024427-8e864411.pth', # noqa
  533. eval='bbox',
  534. metric=dict(bbox_mAP=37.5),
  535. )
  536. yolox = dict(
  537. config='configs/yolox/yolox_tiny_8xb8-300e_coco.py',
  538. checkpoint='yolox_tiny_8x8_300e_coco_20211124_171234-b4047906.pth', # noqa
  539. url='https://download.openmmlab.com/mmdetection/v2.0/yolox/yolox_tiny_8x8_300e_coco/yolox_tiny_8x8_300e_coco_20211124_171234-b4047906.pth', # noqa
  540. eval='bbox',
  541. metric=dict(bbox_mAP=31.8),
  542. )
  543. # yapf: enable