search

open-mmlab / mmdetection

OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io
Apache License 2.0
28.66k stars 9.32k forks source link

ValueError: Expected configs: dict_keys(['mask-rcnn_r50_fpn_albu-1x_coco', #10625

Open meng152634 opened 1 year ago

meng152634 commented 1 year ago

I follow the installation Doc, and failed when download config and checkpoint file:

mim download mmdet --config yolov3_mobilenetv2_320_300e_coco --dest .
Traceback (most recent call last):
  File "/home/mxb/Softwares/anaconda3/envs/openmmlab/bin/mim", line 8, in <module>
    sys.exit(cli())
             ^^^^^
  File "/home/mxb/Softwares/anaconda3/envs/openmmlab/lib/python3.11/site-packages/click/core.py", line 1157, in __call__
    return self.main(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/mxb/Softwares/anaconda3/envs/openmmlab/lib/python3.11/site-packages/click/core.py", line 1078, in main
    rv = self.invoke(ctx)
         ^^^^^^^^^^^^^^^^
  File "/home/mxb/Softwares/anaconda3/envs/openmmlab/lib/python3.11/site-packages/click/core.py", line 1688, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/mxb/Softwares/anaconda3/envs/openmmlab/lib/python3.11/site-packages/click/core.py", line 1434, in invoke
    return ctx.invoke(self.callback, **ctx.params)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/mxb/Softwares/anaconda3/envs/openmmlab/lib/python3.11/site-packages/click/core.py", line 783, in invoke
    return __callback(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/mxb/Softwares/anaconda3/envs/openmmlab/lib/python3.11/site-packages/mim/commands/download.py", line 70, in cli
    download(package, configs, dest_root, check_certificate, dataset)
  File "/home/mxb/Softwares/anaconda3/envs/openmmlab/lib/python3.11/site-packages/mim/commands/download.py", line 107, in download
    return _download_configs(package, configs, dest_root,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/mxb/Softwares/anaconda3/envs/openmmlab/lib/python3.11/site-packages/mim/commands/download.py", line 137, in _download_configs
    raise ValueError(
ValueError: Expected configs: dict_keys(['mask-rcnn_r50_fpn_albu-1x_coco', 'atss_r50_fpn_1x_coco', 'atss_r101_fpn_1x_coco', 'autoassign_r50-caffe_fpn_1x_coco', 'boxinst_r50_fpn_ms-90k_coco', 'boxinst_r101_fpn_ms-90k_coco', 'faster-rcnn_r50_fpn_carafe_1x_coco', 'mask-rcnn_r50_fpn_carafe_1x_coco', 'cascade-rcnn_r50-caffe_fpn_1x_coco', 'cascade-rcnn_r50_fpn_1x_coco', 'cascade-rcnn_r50_fpn_20e_coco', 'cascade-rcnn_r101-caffe_fpn_1x_coco', 'cascade-rcnn_r101_fpn_1x_coco', 'cascade-rcnn_r101_fpn_20e_coco', 'cascade-rcnn_x101-32x4d_fpn_1x_coco', 'cascade-rcnn_x101-32x4d_fpn_20e_coco', 'cascade-rcnn_x101-64x4d_fpn_1x_coco', 'cascade-rcnn_x101_64x4d_fpn_20e_coco', 'cascade-mask-rcnn_r50-caffe_fpn_1x_coco', 'cascade-mask-rcnn_r50_fpn_1x_coco', 'cascade-mask-rcnn_r50_fpn_20e_coco', 'cascade-mask-rcnn_r101-caffe_fpn_1x_coco', 'cascade-mask-rcnn_r101_fpn_1x_coco', 'cascade-mask-rcnn_r101_fpn_20e_coco', 'cascade-mask-rcnn_x101-32x4d_fpn_1x_coco', 'cascade-mask-rcnn_x101-32x4d_fpn_20e_coco', 'cascade-mask-rcnn_x101-64x4d_fpn_1x_coco', 'cascade-mask-rcnn_x101-64x4d_fpn_20e_coco', 'cascade-mask-rcnn_r50-caffe_fpn_ms-3x_coco', 'cascade-mask-rcnn_r50_fpn_mstrain_3x_coco', 'cascade-mask-rcnn_r101-caffe_fpn_ms-3x_coco', 'cascade-mask-rcnn_r101_fpn_ms-3x_coco', 'cascade-mask-rcnn_x101-32x4d_fpn_ms-3x_coco', 'cascade-mask-rcnn_x101-32x8d_fpn_ms-3x_coco', 'cascade-mask-rcnn_x101-64x4d_fpn_ms-3x_coco', 'cascade-rpn_fast-rcnn_r50-caffe_fpn_1x_coco', 'cascade-rpn_faster-rcnn_r50-caffe_fpn_1x_coco', 'centernet_r18-dcnv2_8xb16-crop512-140e_coco', 'centernet_r18_8xb16-crop512-140e_coco', 'centernet-update_r50-caffe_fpn_ms-1x_coco', 'centripetalnet_hourglass104_16xb6-crop511-210e-mstest_coco', 'condinst_r50_fpn_ms-poly-90k_coco_instance', 'conditional-detr_r50_8xb2-50e_coco.py', 'cornernet_hourglass104_10xb5-crop511-210e-mstest_coco', 'cornernet_hourglass104_8xb6-210e-mstest_coco', 'cornernet_hourglass104_32xb3-210e-mstest_coco', 'mask-rcnn_convnext-t-p4-w7_fpn_amp-ms-crop-3x_coco', 'cascade-mask-rcnn_convnext-t-p4-w7_fpn_4conv1fc-giou_amp-ms-crop-3x_coco', 'cascade-mask-rcnn_convnext-s-p4-w7_fpn_4conv1fc-giou_amp-ms-crop-3x_coco', 'crowddet-rcnn_refine_r50_fpn_8xb2-30e_crowdhuman', 'crowddet-rcnn_r50_fpn_8xb2-30e_crowdhuman', 'dab-detr_r50_8xb2-50e_coco.py', 'faster-rcnn_r50_fpn_dconv_c3-c5_1x_coco', 'faster-rcnn_r50_fpn_dpool_1x_coco', 'faster-rcnn_r101-dconv-c3-c5_fpn_1x_coco', 'faster-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco', 'mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco', 'mask-rcnn_r50_fpn_fp16_dconv_c3-c5_1x_coco', 'mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco', 'cascade-rcnn_r50_fpn_dconv_c3-c5_1x_coco', 'cascade-rcnn_r101-dconv-c3-c5_fpn_1x_coco', 'cascade-mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco', 'cascade-mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco', 'cascade-mask-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco', 'faster-rcnn_r50_fpn_mdconv_c3-c5_1x_coco', 'faster-rcnn_r50_fpn_mdconv_c3-c5_group4_1x_coco', 'faster-rcnn_r50_fpn_mdpool_1x_coco', 'mask-rcnn_r50_fpn_mdconv_c3-c5_1x_coco', 'mask-rcnn_r50_fpn_fp16_mdconv_c3-c5_1x_coco', 'ddod_r50_fpn_1x_coco', 'deformable-detr_r50_16xb2-50e_coco', 'deformable-detr_refine_r50_16xb2-50e_coco', 'deformable-detr_refine_twostage_r50_16xb2-50e_coco', 'cascade-rcnn_r50-rfp_1x_coco', 'cascade-rcnn_r50-sac_1x_coco', 'detectors_cascade-rcnn_r50_1x_coco', 'htc_r50-rfp_1x_coco', 'htc_r50-sac_1x_coco', 'detectors_htc-r50_1x_coco', 'detr_r50_8xb2-150e_coco', 'dino-4scale_r50_8xb2-12e_coco.py', 'dino-4scale_r50_8xb2-24e_coco.py', 'dino-5scale_swin-l_8xb2-12e_coco.py', 'dino-5scale_swin-l_8xb2-36e_coco.py', 'dh-faster-rcnn_r50_fpn_1x_coco', 'atss_r50-caffe_fpn_dyhead_1x_coco', 'atss_r50_fpn_dyhead_1x_coco', 'atss_swin-l-p4-w12_fpn_dyhead_ms-2x_coco', 'dynamic-rcnn_r50_fpn_1x_coco', 'retinanet_effb3_fpn_8xb4-crop896-1x_coco', 'faster-rcnn_r50_fpn_attention_1111_1x_coco', 'faster-rcnn_r50_fpn_attention_0010_1x_coco', 'faster-rcnn_r50_fpn_attention_1111_dcn_1x_coco', 'faster-rcnn_r50_fpn_attention_0010_dcn_1x_coco', 'faster-rcnn_r50-caffe-c4_1x_coco', 'faster-rcnn_r50-caffe-c4_mstrain_1x_coco', 'faster-rcnn_r50-caffe-dc5_1x_coco', 'faster-rcnn_r50-caffe_fpn_1x_coco', 'faster-rcnn_r50_fpn_1x_coco', 'faster-rcnn_r50_fpn_fp16_1x_coco', 'faster-rcnn_r50_fpn_2x_coco', 'faster-rcnn_r101-caffe_fpn_1x_coco', 'faster-rcnn_r101_fpn_1x_coco', 'faster-rcnn_r101_fpn_2x_coco', 'faster-rcnn_x101-32x4d_fpn_1x_coco', 'faster-rcnn_x101-32x4d_fpn_2x_coco', 'faster-rcnn_x101-64x4d_fpn_1x_coco', 'faster-rcnn_x101-64x4d_fpn_2x_coco', 'faster-rcnn_r50_fpn_iou_1x_coco', 'faster-rcnn_r50_fpn_giou_1x_coco', 'faster-rcnn_r50_fpn_bounded_iou_1x_coco', 'faster-rcnn_r50-caffe-dc5_mstrain_1x_coco', 'faster-rcnn_r50-caffe-dc5_mstrain_3x_coco', 'faster-rcnn_r50-caffe_fpn_ms-2x_coco', 'faster-rcnn_r50-caffe_fpn_ms-3x_coco', 'faster-rcnn_r50_fpn_mstrain_3x_coco', 'faster-rcnn_r101-caffe_fpn_ms-3x_coco', 'faster-rcnn_r101_fpn_ms-3x_coco', 'faster-rcnn_x101-32x4d_fpn_ms-3x_coco', 'faster-rcnn_x101-32x8d_fpn_ms-3x_coco', 'faster-rcnn_x101-64x4d_fpn_ms-3x_coco', 'faster-rcnn_r50_fpn_tnr-pretrain_1x_coco', 'fcos_r50-caffe_fpn_gn-head_1x_coco', 'fcos_r50-caffe_fpn_gn-head-center-normbbox-centeronreg-giou_1x_coco', 'fcos_r50-dcn-caffe_fpn_gn-head-center-normbbox-centeronreg-giou_1x_coco', 'fcos_r101-caffe_fpn_gn-head-1x_coco', 'fcos_r50-caffe_fpn_gn-head_ms-640-800-2x_coco', 'fcos_r101-caffe_fpn_gn-head_ms-640-800-2x_coco', 'fcos_x101-64x4d_fpn_gn-head_ms-640-800-2x_coco', 'fovea_r50_fpn_4xb4-1x_coco', 'fovea_r50_fpn_4xb4-2x_coco', 'fovea_r50_fpn_gn-head-align_4xb4-2x_coco', 'fovea_r50_fpn_gn-head-align_ms-640-800-4xb4-2x_coco', 'fovea_r101_fpn_4xb4-1x_coco', 'fovea_r101_fpn_4xb4-2x_coco', 'fovea_r101_fpn_gn-head-align_4xb4-2x_coco', 'fovea_r101_fpn_gn-head-align_ms-640-800-4xb4-2x_coco', 'faster-rcnn_r50_fpg_crop640-50e_coco', 'faster-rcnn_r50_fpg-chn128_crop640-50e_coco', 'mask-rcnn_r50_fpg_crop640-50e_coco', 'mask-rcnn_r50_fpg-chn128_crop640-50e_coco', 'retinanet_r50_fpg_crop640_50e_coco', 'retinanet_r50_fpg-chn128_crop640_50e_coco', 'freeanchor_r50_fpn_1x_coco', 'freeanchor_r101_fpn_1x_coco', 'freeanchor_x101-32x4d_fpn_1x_coco', 'fsaf_r50_fpn_1x_coco', 'fsaf_r101_fpn_1x_coco', 'fsaf_x101-64x4d_fpn_1x_coco', 'mask-rcnn_r50_fpn_r16_gcb_c3-c5_1x_coco', 'mask-rcnn_r50_fpn_r4_gcb_c3-c5_1x_coco', 'mask-rcnn_r101-gcb-r16-c3-c5_fpn_1x_coco', 'mask-rcnn_r101-gcb-r4-c3-c5_fpn_1x_coco', 'mask-rcnn_r50_fpn_syncbn-backbone_1x_coco', 'mask-rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco', 'mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco', 'mask-rcnn_r101-syncbn_fpn_1x_coco', 'mask-rcnn_r101-syncbn-gcb-r16-c3-c5_fpn_1x_coco', 'mask-rcnn_r101-syncbn-gcb-r4-c3-c5_fpn_1x_coco', 'mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco', 'mask-rcnn_x101-32x4d-syncbn-gcb-r16-c3-c5_fpn_1x_coco', 'mask-rcnn_x101-32x4d-syncbn-gcb-r4-c3-c5_fpn_1x_coco', 'cascade-mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco', 'cascade-mask-rcnn_x101-32x4d-syncbn-r16-gcb-c3-c5_fpn_1x_coco', 'cascade-mask-rcnn_x101-32x4d-syncbn-r4-gcb-c3-c5_fpn_1x_coco', 'cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5_fpn_1x_coco', 'cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r16-gcb-c3-c5_fpn_1x_coco', 'cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r4-gcb-c3-c5_fpn_1x_coco', 'gfl_r50_fpn_1x_coco', 'gfl_r50_fpn_ms-2x_coco', 'gfl_r101_fpn_ms-2x_coco', 'gfl_r101-dconv-c3-c5_fpn_ms-2x_coco', 'gfl_x101-32x4d_fpn_ms-2x_coco', 'gfl_x101-32x4d-dconv-c4-c5_fpn_ms-2x_coco', 'retinanet_r50_fpn_ghm-1x_coco', 'retinanet_r101_fpn_ghm-1x_coco', 'retinanet_x101-32x4d_fpn_ghm-1x_coco', 'retinanet_x101-64x4d_fpn_ghm-1x_coco', 'mask-rcnn_r50_fpn_gn-all_2x_coco', 'mask-rcnn_r50_fpn_gn-all_3x_coco', 'mask-rcnn_r101_fpn_gn-all_2x_coco', 'mask-rcnn_r101_fpn_gn-all_3x_coco', 'mask-rcnn_r50_fpn_gn-all_contrib_2x_coco', 'mask-rcnn_r50_fpn_gn-all_contrib_3x_coco', 'faster-rcnn_r50_fpn_gn_ws-all_1x_coco', 'faster-rcnn_r101_fpn_gn-ws-all_1x_coco', 'faster-rcnn_x50-32x4d_fpn_gn-ws-all_1x_coco', 'faster-rcnn_x101-32x4d_fpn_gn-ws-all_1x_coco', 'mask-rcnn_r50_fpn_gn_ws-all_2x_coco', 'mask-rcnn_r101_fpn_gn-ws-all_2x_coco', 'mask-rcnn_x50-32x4d_fpn_gn-ws-all_2x_coco', 'mask-rcnn_x101-32x4d_fpn_gn-ws-all_2x_coco', 'mask-rcnn_r50_fpn_gn_ws-all_20_23_24e_coco', 'mask-rcnn_r101_fpn_gn-ws-all_20-23-24e_coco', 'mask-rcnn_x50-32x4d_fpn_gn-ws-all_20-23-24e_coco', 'mask-rcnn_x101-32x4d_fpn_gn-ws-all_20-23-24e_coco', 'grid-rcnn_r50_fpn_gn-head_2x_coco', 'grid-rcnn_r101_fpn_gn-head_2x_coco', 'grid-rcnn_x101-32x4d_fpn_gn-head_2x_coco', 'grid-rcnn_x101-64x4d_fpn_gn-head_2x_coco', 'faster-rcnn_r50_fpn_groie_1x_coco', 'grid-rcnn_r50_fpn_gn-head-groie_1x_coco', 'mask-rcnn_r50_fpn_groie_1x_coco', 'mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco', 'mask-rcnn_r101_fpn_syncbn-r4-gcb_c3-c5-groie_1x_coco', 'ga-rpn_r50-caffe_fpn_1x_coco', 'ga-rpn_r101-caffe_fpn_1x_coco', 'ga-rpn_x101-32x4d_fpn_1x_coco', 'ga-rpn_x101-64x4d_fpn_1x_coco', 'ga-faster-rcnn_r50-caffe_fpn_1x_coco', 'ga-faster-rcnn_r101-caffe_fpn_1x_coco', 'ga-faster-rcnn_x101-32x4d_fpn_1x_coco', 'ga-faster-rcnn_x101-64x4d_fpn_1x_coco', 'ga-retinanet_r50-caffe_fpn_1x_coco', 'ga-retinanet_r101-caffe_fpn_1x_coco', 'ga-retinanet_x101-32x4d_fpn_1x_coco', 'ga-retinanet_x101-64x4d_fpn_1x_coco', 'faster-rcnn_hrnetv2p-w18-1x_coco', 'faster-rcnn_hrnetv2p-w18-2x_coco', 'faster-rcnn_hrnetv2p-w32-1x_coco', 'faster-rcnn_hrnetv2p-w32_2x_coco', 'faster-rcnn_hrnetv2p-w40-1x_coco', 'faster-rcnn_hrnetv2p-w40_2x_coco', 'mask-rcnn_hrnetv2p-w18-1x_coco', 'mask-rcnn_hrnetv2p-w18-2x_coco', 'mask-rcnn_hrnetv2p-w32-1x_coco', 'mask-rcnn_hrnetv2p-w32-2x_coco', 'mask-rcnn_hrnetv2p-w40_1x_coco', 'mask-rcnn_hrnetv2p-w40-2x_coco', 'cascade-rcnn_hrnetv2p-w18-20e_coco', 'cascade-rcnn_hrnetv2p-w32-20e_coco', 'cascade-rcnn_hrnetv2p-w40-20e_coco', 'cascade-mask-rcnn_hrnetv2p-w18_20e_coco', 'cascade-mask-rcnn_hrnetv2p-w32_20e_coco', 'cascade-mask-rcnn_hrnetv2p-w40-20e_coco', 'htc_hrnetv2p-w18_20e_coco', 'htc_hrnetv2p-w32_20e_coco', 'htc_hrnetv2p-w40_20e_coco', 'fcos_hrnetv2p-w18-gn-head_4xb4-1x_coco', 'fcos_hrnetv2p-w18-gn-head_4xb4-2x_coco', 'fcos_hrnetv2p-w32-gn-head_4xb4-1x_coco', 'fcos_hrnetv2p-w32-gn-head_4xb4-2x_coco', 'fcos_hrnetv2p-w18-gn-head_ms-640-800-4xb4-2x_coco', 'fcos_hrnetv2p-w32-gn-head_ms-640-800-4xb4-2x_coco', 'fcos_hrnetv2p-w40-gn-head_ms-640-800-4xb4-2x_coco', 'htc_r50_fpn_1x_coco', 'htc_r50_fpn_20e_coco', 'htc_r101_fpn_20e_coco', 'htc_x101-32x4d_fpn_16xb1-20e_coco', 'htc_x101-64x4d_fpn_16xb1-20e_coco', 'htc_x101-64x4d-dconv-c3-c5_fpn_ms-400-1400-16xb1-20e_coco', 'mask-rcnn_r50_fpn_instaboost_4x_coco', 'mask-rcnn_r101_fpn_instaboost-4x_coco', 'mask-rcnn_x101-64x4d_fpn_instaboost-4x_coco', 'cascade-mask-rcnn_r50_fpn_instaboost_4x_coco', 'lad_r101-paa-r50_fpn_2xb8_coco_1x', 'lad_r50-paa-r101_fpn_2xb8_coco_1x', 'ld_r18-gflv1-r101_fpn_1x_coco', 'ld_r34-gflv1-r101_fpn_1x_coco', 'ld_r50-gflv1-r101_fpn_1x_coco', 'ld_r101-gflv1-r101-dcn_fpn_2x_coco', 'libra-faster-rcnn_r50_fpn_1x_coco', 'libra-faster-rcnn_r101_fpn_1x_coco', 'libra-faster-rcnn_x101-64x4d_fpn_1x_coco', 'libra-retinanet_r50_fpn_1x_coco', 'mask-rcnn_r50_fpn_sample1e-3_ms-2x_lvis-v0.5', 'mask-rcnn_r101_fpn_sample1e-3_ms-2x_lvis-v0.5', 'mask-rcnn_x101-32x4d_fpn_sample1e-3_ms-2x_lvis-v0.5', 'mask-rcnn_x101-64x4d_fpn_sample1e-3_ms-2x_lvis-v0.5', 'mask-rcnn_r50_fpn_sample1e-3_ms-1x_lvis-v1', 'mask-rcnn_r101_fpn_sample1e-3_ms-1x_lvis-v1', 'mask-rcnn_x101-32x4d_fpn_sample1e-3_ms-1x_lvis-v1', 'mask-rcnn_x101-64x4d_fpn_sample1e-3_ms-1x_lvis-v1', 'mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco-panoptic', 'mask2former_r101_8xb2-lsj-50e_coco', 'mask2former_r101_8xb2-lsj-50e_coco-panoptic', 'mask2former_r50_8xb2-lsj-50e_coco-panoptic', 'mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco-panoptic', 'mask2former_r50_8xb2-lsj-50e_coco', 'mask2former_swin-l-p4-w12-384-in21k_16xb1-lsj-100e_coco-panoptic', 'mask2former_swin-b-p4-w12-384-in21k_8xb2-lsj-50e_coco-panoptic', 'mask2former_swin-b-p4-w12-384_8xb2-lsj-50e_coco-panoptic', 'mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco', 'mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco', 'mask-rcnn_r50-caffe_fpn_1x_coco', 'mask-rcnn_r50_fpn_1x_coco', 'mask-rcnn_r50_fpn_fp16_1x_coco', 'mask-rcnn_r50_fpn_2x_coco', 'mask-rcnn_r101-caffe_fpn_1x_coco', 'mask-rcnn_r101_fpn_1x_coco', 'mask-rcnn_r101_fpn_2x_coco', 'mask-rcnn_x101-32x4d_fpn_1x_coco', 'mask-rcnn_x101-32x4d_fpn_2x_coco', 'mask-rcnn_x101-64x4d_fpn_1x_coco', 'mask-rcnn_x101-64x4d_fpn_2x_coco', 'mask-rcnn_x101-32x8d_fpn_1x_coco', 'mask-rcnn_r50-caffe_fpn_ms-poly-2x_coco', 'mask-rcnn_r50-caffe_fpn_ms-poly-3x_coco', 'mask-rcnn_r50_fpn_mstrain-poly_3x_coco', 'mask-rcnn_r101_fpn_ms-poly-3x_coco', 'mask-rcnn_r101-caffe_fpn_ms-poly-3x_coco', 'mask-rcnn_x101-32x4d_fpn_ms-poly-3x_coco', 'mask-rcnn_x101-32x8d_fpn_ms-poly-1x_coco', 'mask-rcnn_x101-32x8d_fpn_ms-poly-3x_coco', 'mask-rcnn_x101-64x4d_fpn_ms-poly_3x_coco', 'maskformer_r50_ms-16xb1-75e_coco', 'maskformer_swin-l-p4-w12_64xb1-ms-300e_coco', 'ms-rcnn_r50-caffe_fpn_1x_coco', 'ms-rcnn_r50-caffe_fpn_2x_coco', 'ms-rcnn_r101-caffe_fpn_1x_coco', 'ms-rcnn_r101-caffe_fpn_2x_coco', 'ms-rcnn_x101-32x4d_fpn_1x_coco', 'ms-rcnn_x101-64x4d_fpn_1x_coco', 'ms-rcnn_x101-64x4d_fpn_2x_coco', 'nas-fcos_r50-caffe_fpn_nashead-gn-head_4xb4-1x_coco', 'nas-fcos_r50-caffe_fpn_fcoshead-gn-head_4xb4-1x_coco', 'retinanet_r50_fpn_crop640-50e_coco', 'retinanet_r50_nasfpn_crop640-50e_coco', 'faster-rcnn_r50_fpn_32x2_1x_openimages', 'retinanet_r50_fpn_32xb2-1x_openimages', 'ssd300_32xb8-36e_openimages', 'faster-rcnn_r50_fpn_32x2_1x_openimages_challenge', 'faster-rcnn_r50_fpn_32x2_cas_1x_openimages', 'faster-rcnn_r50_fpn_32x2_cas_1x_openimages_challenge', 'paa_r50_fpn_1x_coco', 'paa_r50_fpn_1.5x_coco', 'paa_r50_fpn_2x_coco', 'paa_r50_fpn_mstrain_3x_coco', 'paa_r101_fpn_1x_coco', 'paa_r101_fpn_2x_coco', 'paa_r101_fpn_mstrain_3x_coco', 'faster-rcnn_r50_pafpn_1x_coco', 'panoptic_fpn_r50_fpn_1x_coco', 'panoptic_fpn_r50_fpn_mstrain_3x_coco', 'panoptic_fpn_r101_fpn_1x_coco', 'panoptic_fpn_r101_fpn_mstrain_3x_coco', 'retinanet_pvt-t_fpn_1x_coco', 'retinanet_pvt-s_fpn_1x_coco', 'retinanet_pvt-m_fpn_1x_coco', 'retinanet_pvtv2-b0_fpn_1x_coco', 'retinanet_pvtv2-b1_fpn_1x_coco', 'retinanet_pvtv2-b2_fpn_1x_coco', 'retinanet_pvtv2-b3_fpn_1x_coco', 'retinanet_pvtv2-b4_fpn_1x_coco', 'retinanet_pvtv2-b5_fpn_1x_coco', 'pisa_faster_rcnn_r50_fpn_1x_coco', 'pisa_faster_rcnn_x101_32x4d_fpn_1x_coco', 'pisa_mask_rcnn_r50_fpn_1x_coco', 'pisa_retinanet_r50_fpn_1x_coco', 'pisa_retinanet_x101_32x4d_fpn_1x_coco', 'pisa_ssd300_coco', 'pisa_ssd512_coco', 'point_rend_r50_caffe_fpn_mstrain_1x_coco', 'point_rend_r50_caffe_fpn_mstrain_3x_coco', 'queryinst_r50_fpn_1x_coco', 'queryinst_r50_fpn_ms-480-800-3x_coco', 'queryinst_r50_fpn_300-proposals_crop-ms-480-800-3x_coco', 'queryinst_r101_fpn_ms-480-800-3x_coco', 'queryinst_r101_fpn_300-proposals_crop-ms-480-800-3x_coco', 'mask-rcnn_regnetx-3.2GF_fpn_1x_coco', 'mask-rcnn_regnetx-4GF_fpn_1x_coco', 'mask-rcnn_regnetx-6.4GF_fpn_1x_coco', 'mask-rcnn_regnetx-8GF_fpn_1x_coco', 'mask-rcnn_regnetx-12GF_fpn_1x_coco', 'mask-rcnn_regnetx-3.2GF-mdconv-c3-c5_fpn_1x_coco', 'faster-rcnn_regnetx-3.2GF_fpn_1x_coco', 'faster-rcnn_regnetx-3.2GF_fpn_2x_coco', 'retinanet_regnetx-800MF_fpn_1x_coco', 'retinanet_regnetx-1.6GF_fpn_1x_coco', 'retinanet_regnetx-3.2GF_fpn_1x_coco', 'faster-rcnn_regnetx-400MF_fpn_ms-3x_coco', 'faster-rcnn_regnetx-800MF_fpn_ms-3x_coco', 'faster-rcnn_regnetx-1.6GF_fpn_ms-3x_coco', 'faster-rcnn_regnetx-3.2GF_fpn_ms-3x_coco', 'faster-rcnn_regnetx-4GF_fpn_ms-3x_coco', 'mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco', 'mask-rcnn_regnetx-400MF_fpn_ms-poly-3x_coco', 'mask-rcnn_regnetx-800MF_fpn_ms-poly-3x_coco', 'mask-rcnn_regnetx-1.6GF_fpn_ms-poly-3x_coco', 'mask-rcnn_regnetx-4GF_fpn_ms-poly-3x_coco', 'cascade-mask-rcnn_regnetx-400MF_fpn_ms-3x_coco', 'cascade-mask-rcnn_regnetx-800MF_fpn_ms-3x_coco', 'cascade-mask-rcnn_regnetx-1.6GF_fpn_ms-3x_coco', 'cascade-mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco', 'cascade-mask-rcnn_regnetx-4GF_fpn_ms-3x_coco', 'reppoints-bbox_r50_fpn-gn_head-gn-grid_1x_coco', 'reppoints-bbox_r50-center_fpn-gn_head-gn-grid_1x_coco', 'reppoints-moment_r50_fpn_1x_coco', 'reppoints-moment_r50_fpn-gn_head-gn_1x_coco', 'reppoints-moment_r50_fpn-gn_head-gn_2x_coco', 'reppoints-moment_r101_fpn-gn_head-gn_2x_coco', 'reppoints-moment_r101-dconv-c3-c5_fpn-gn_head-gn_2x_coco', 'reppoints-moment_x101-dconv-c3-c5_fpn-gn_head-gn_2x_coco', 'faster-rcnn_res2net-101_fpn_2x_coco', 'mask-rcnn_res2net-101_fpn_2x_coco', 'cascade-rcnn_res2net-101_fpn_20e_coco', 'cascade-mask-rcnn_res2net-101_fpn_20e_coco', 'htc_res2net-101_fpn_20e_coco', 'faster-rcnn_s50_fpn_syncbn-backbone+head_ms-range-1x_coco', 'faster-rcnn_s101_fpn_syncbn-backbone+head_ms-range-1x_coco', 'mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco', 'mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco', 'cascade-rcnn_s50_fpn_syncbn-backbone+head_ms-range-1x_coco', 'cascade-rcnn_s101_fpn_syncbn-backbone+head_ms-range-1x_coco', 'cascade-mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco', 'cascade-mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco', 'faster-rcnn_r50_fpn_rsb-pretrain_1x_coco', 'cascade-mask-rcnn_r50_fpn_rsb-pretrain_1x_coco', 'retinanet_r50-rsb-pre_fpn_1x_coco', 'mask-rcnn_r50_fpn_rsb-pretrain_1x_coco', 'retinanet_r18_fpn_1x_coco', 'retinanet_r18_fpn_1xb8-1x_coco', 'retinanet_r50-caffe_fpn_1x_coco', 'retinanet_r50_fpn_1x_coco', 'retinanet_r50_fpn_amp-1x_coco', 'retinanet_r50_fpn_2x_coco', 'retinanet_r50_fpn_ms-640-800-3x_coco', 'retinanet_r101-caffe_fpn_1x_coco', 'retinanet_r101-caffe_fpn_ms-3x_coco', 'retinanet_r101_fpn_1x_coco', 'retinanet_r101_fpn_2x_coco', 'retinanet_r101_fpn_ms-640-800-3x_coco', 'retinanet_x101-32x4d_fpn_1x_coco', 'retinanet_x101-32x4d_fpn_2x_coco', 'retinanet_x101-64x4d_fpn_1x_coco', 'retinanet_x101-64x4d_fpn_2x_coco', 'retinanet_x101-64x4d_fpn_ms-640-800-3x_coco', 'rpn_r50-caffe_fpn_1x_coco', 'rpn_r50_fpn_1x_coco', 'rpn_r50_fpn_2x_coco', 'rpn_r101-caffe_fpn_1x_coco', 'rpn_x101-32x4d_fpn_1x_coco', 'rpn_x101-32x4d_fpn_2x_coco', 'rpn_x101-64x4d_fpn_1x_coco', 'rpn_x101-64x4d_fpn_2x_coco', 'rtmdet_tiny_8xb32-300e_coco', 'rtmdet_s_8xb32-300e_coco', 'rtmdet_m_8xb32-300e_coco', 'rtmdet_l_8xb32-300e_coco', 'rtmdet_x_8xb32-300e_coco', 'rtmdet-ins_tiny_8xb32-300e_coco', 'rtmdet-ins_s_8xb32-300e_coco', 'rtmdet-ins_m_8xb32-300e_coco', 'rtmdet-ins_l_8xb32-300e_coco', 'rtmdet-ins_x_8xb16-300e_coco', 'sabl-faster-rcnn_r50_fpn_1x_coco', 'sabl-faster-rcnn_r101_fpn_1x_coco', 'sabl-cascade-rcnn_r50_fpn_1x_coco', 'sabl-cascade-rcnn_r101_fpn_1x_coco', 'sabl-retinanet_r50_fpn_1x_coco', 'sabl-retinanet_r50-gn_fpn_1x_coco', 'sabl-retinanet_r101_fpn_1x_coco', 'sabl-retinanet_r101-gn_fpn_1x_coco', 'sabl-retinanet_r101-gn_fpn_ms-640-800-2x_coco', 'sabl-retinanet_r101-gn_fpn_ms-480-960-2x_coco', 'scnet_r50_fpn_1x_coco', 'scnet_r50_fpn_20e_coco', 'scnet_r101_fpn_20e_coco', 'scnet_x101-64x4d_fpn_20e_coco', 'faster-rcnn_r50_fpn_gn-all_scratch_6x_coco', 'mask-rcnn_r50_fpn_gn-all_scratch_6x_coco', 'mask-rcnn_r50_fpn_random_seesaw_loss_mstrain_2x_lvis_v1', 'mask-rcnn_r50_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1', 'mask-rcnn_r101_fpn_seesaw-loss_random-ms-2x_lvis-v1', 'mask-rcnn_r101_fpn_seesaw-loss-normed-mask_random-ms-2x_lvis-v1', 'mask-rcnn_r50_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1', 'mask-rcnn_r50_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1', 'mask-rcnn_r101_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1', 'mask-rcnn_r101_fpn_seesaw-loss-normed-mask_sample1e-3-ms-2x_lvis-v1', 'cascade-mask-rcnn_r101_fpn_seesaw-loss_random-ms-2x_lvis-v1', 'cascade-mask-rcnn_r101_fpn_seesaw-loss-normed-mask_random-ms-2x_lvis-v1', 'cascade-mask-rcnn_r101_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1', 'cascade-mask-rcnn_r101_fpn_seesaw-loss-normed-mask_sample1e-3-ms-2x_lvis-v1', 'mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_270k_coco', 'mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_90k_coco', 'mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_270k_coco', 'mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_90k_coco', 'soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.01-coco.py', 'soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.02-coco.py', 'soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.05-coco.py', 'soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.1-coco.py', 'sparse-rcnn_r50_fpn_1x_coco', 'sparse-rcnn_r50_fpn_ms-480-800-3x_coco', 'sparse-rcnn_r50_fpn_300-proposals_crop-ms-480-800-3x_coco', 'sparse-rcnn_r101_fpn_ms-480-800-3x_coco', 'sparse-rcnn_r101_fpn_300-proposals_crop-ms-480-800-3x_coco', 'decoupled-solo_r50_fpn_1x_coco', 'decoupled-solo_r50_fpn_3x_coco', 'decoupled-solo-light_r50_fpn_3x_coco', 'solo_r50_fpn_3x_coco', 'solo_r50_fpn_1x_coco', 'solov2_r50_fpn_1x_coco', 'solov2_r50_fpn_ms-3x_coco', 'solov2_r101-dcn_fpn_ms-3x_coco', 'solov2_x101-dcn_fpn_ms-3x_coco', 'solov2-light_r18_fpn_ms-3x_coco', 'solov2-light_r50_fpn_ms-3x_coco', 'ssd300_coco', 'ssd512_coco', 'ssdlite_mobilenetv2-scratch_8xb24-600e_coco', 'mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco', 'mask-rcnn_swin-s-p4-w7_fpn_amp-ms-crop-3x_coco', 'mask-rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco', 'mask-rcnn_swin-t-p4-w7_fpn_1x_coco', 'mask-rcnn_swin-t-p4-w7_fpn_amp-ms-crop-3x_coco', 'tridentnet_r50-caffe_1x_coco', 'tridentnet_r50-caffe_ms-1x_coco', 'tridentnet_r50-caffe_ms-3x_coco', 'tood_r101_fpn_ms-2x_coco', 'tood_x101-64x4d_fpn_ms-2x_coco', 'tood_r101-dconv-c3-c5_fpn_ms-2x_coco', 'tood_r50_fpn_anchor-based_1x_coco', 'tood_r50_fpn_1x_coco', 'tood_r50_fpn_ms-2x_coco', 'vfnet_r50_fpn_1x_coco', 'vfnet_r50_fpn_ms-2x_coco', 'vfnet_r50-mdconv-c3-c5_fpn_ms-2x_coco', 'vfnet_r101_fpn_1x_coco', 'vfnet_r101_fpn_ms-2x_coco', 'vfnet_r101-mdconv-c3-c5_fpn_ms-2x_coco', 'vfnet_x101-32x4d-mdconv-c3-c5_fpn_ms-2x_coco', 'vfnet_x101-64x4d-mdconv-c3-c5_fpn_ms-2x_coco', 'yolact_r50_1x8_coco', 'yolact_r50_8x8_coco', 'yolact_r101_1x8_coco', 'yolov3_d53_320_273e_coco', 'yolov3_d53_mstrain-416_273e_coco', 'yolov3_d53_mstrain-608_273e_coco', 'yolov3_d53_fp16_mstrain-608_273e_coco', 'yolov3_mobilenetv2_8xb24-320-300e_coco', 'yolov3_mobilenetv2_8xb24-ms-416-300e_coco', 'yolof_r50_c5_8x8_1x_coco', 'yolox_s_8x8_300e_coco', 'yolox_l_8x8_300e_coco', 'yolox_x_8x8_300e_coco', 'yolox_tiny_8x8_300e_coco', 'bytetrack_yolox_x_8xb4-amp-80e_crowdhuman-mot17halftrain_test-mot17halfval', 'bytetrack_yolox_x_8xb4-amp-80e_crowdhuman-mot17halftrain_test-mot17test', 'bytetrack_yolox_x_8xb4-amp-80e_crowdhuman-mot20train_test-mot20test', 'strongsort_yolox_x_8xb4-80e_crowdhuman-mot17halftrain_test-mot17halfval', 'strongsort_yolox_x_8xb4-80e_crowdhuman-mot20train_test-mot20test', 'ocsort_yolox_x_crowdhuman_mot17-private-half', 'sort_faster-rcnn_r50_fpn_8xb2-4e_mot17halftrain_test-mot17halfval', 'deepsort_faster-rcnn_r50_fpn_8xb2-4e_mot17halftrain_test-mot17halfval', 'qdtrack_faster-rcnn_r50_fpn_8xb2-4e_mot17halftrain_test-mot17halfval', 'mask2former_r50_8xb2-8e_youtubevis2021', 'mask2former_r101_8xb2-8e_youtubevis2021', 'mask2former_swin-l-p4-w12-384-in21k_8xb2-8e_youtubevis2021.py', 'masktrack-rcnn_mask-rcnn_r50_fpn_8xb1-12e_youtubevis2019', 'masktrack-rcnn_mask-rcnn_r101_fpn_8xb1-12e_youtubevis2019', 'masktrack-rcnn_mask-rcnn_x101_fpn_8xb1-12e_youtubevis2019', 'masktrack-rcnn_mask-rcnn_r50_fpn_8xb1-12e_youtubevis2021', 'masktrack-rcnn_mask-rcnn_r101_fpn_8xb1-12e_youtubevis2021', 'masktrack-rcnn_mask-rcnn_x101_fpn_8xb1-12e_youtubevis2021', 'glip_atss_swin-t_a_fpn_dyhead_pretrain_obj365', 'glip_atss_swin-t_b_fpn_dyhead_pretrain_obj365', 'glip_atss_swin-t_c_fpn_dyhead_pretrain_obj365-goldg', 'glip_atss_swin-t_fpn_dyhead_pretrain_obj365-goldg-cc3m-sub', 'glip_atss_swin-l_fpn_dyhead_pretrain_mixeddata']), but got {'yolov3_mobilenetv2_320_300e_coco'}
NanH5837 commented 1 year ago

I also ran into this problem. What should I do?

MONGSIKKIM commented 1 year ago

Same here...

Juin28 commented 1 year ago

Same here... Is there anyone know how to solve this issue?

SabraHashemi commented 11 months ago

same here

whut-zhangwx commented 11 months ago

same problem

whut-zhangwx commented 11 months ago

I find what's wrong with the problem. Use this command instead

mim download mmsegmentation --config pspnet_r50-d8_4xb2-40k_cityscapes-512x1024 --dest .

Don't use the command in get_started.md | GitHub, which is out of date. Instead, check the latest version in their official website get_started.html#verify-the-installation | mmsegmentation. And the reason why we got this error is that the file name have been changed from pspnet_r50-d8_512x1024_40k_cityscapes.py to pspnet_r50-d8_4xb2-40k_cityscapes-512x1024.py. I realized this from the source of the python file, where there is no a file named pspnet_r50-d8_512x1024_40k_cityscapes.py but only a file named pspnet_r50-d8_4xb2-40k_cityscapes-512x1024.py