【error】mim download mmdet --config yolov3_mobilenetv2_320_300e_coco --dest .

vansin commented 2 years ago

mim download mmdet --config yolov3_mobilenetv2_320_300e_coco --dest .

(openmmlab) ➜  /project mim download mmdet --config yolov3_mobilenetv2_320_300e_coco --dest .

/home/PJLAB/huwenxing/miniconda3/envs/openmmlab/lib/python3.8/site-packages/_distutils_hack/__init__.py:30: UserWarning: Setuptools is replacing distutils.
  warnings.warn("Setuptools is replacing distutils.")
Traceback (most recent call last):
  File "/home/PJLAB/huwenxing/miniconda3/envs/openmmlab/bin/mim", line 8, in <module>
    sys.exit(cli())
  File "/home/PJLAB/huwenxing/miniconda3/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 1130, in __call__
    return self.main(*args, **kwargs)
  File "/home/PJLAB/huwenxing/miniconda3/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 1055, in main
    rv = self.invoke(ctx)
  File "/home/PJLAB/huwenxing/miniconda3/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 1657, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/home/PJLAB/huwenxing/miniconda3/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 1404, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/home/PJLAB/huwenxing/miniconda3/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 760, in invoke
    return __callback(*args, **kwargs)
  File "/home/PJLAB/huwenxing/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mim/commands/download.py", line 49, in cli
    download(package, configs, dest_root)
  File "/home/PJLAB/huwenxing/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mim/commands/download.py", line 80, in download
    model_info = get_model_info(
  File "/home/PJLAB/huwenxing/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mim/commands/search.py", line 175, in get_model_info
    dataframe = convert2df(metadata)
  File "/home/PJLAB/huwenxing/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mim/commands/search.py", line 401, in convert2df
    for key, value in name2collection[collection_name].items():
KeyError: 'Cascade Mask R-CNN'

Please edit the doc of MMDet

BIGWangYuDong commented 2 years ago

I believe this bug has fixed in mmdet v2.25.1

Francis235 commented 1 year ago

Hi, I encounter the same issues in mmdet-3.0.0, when I run ‘mim download mmdet --config yolov3_mobilenetv2_320_300e_coco --dest .’， the following issue appear: Traceback (most recent call last): File "/opt/conda/envs/openmmlab/bin/mim", line 8, in sys.exit(cli()) File "/opt/conda/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 1130, in call return self.main(args, kwargs) File "/opt/conda/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 1055, in main rv = self.invoke(ctx) File "/opt/conda/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 1657, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/opt/conda/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 1404, in invoke return ctx.invoke(self.callback, ctx.params) File "/opt/conda/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 760, in invoke return __callback(args, **kwargs) File "/opt/conda/envs/openmmlab/lib/python3.8/site-packages/mim/commands/download.py", line 57, in cli download(package, configs, dest_root, check_certificate) File "/opt/conda/envs/openmmlab/lib/python3.8/site-packages/mim/commands/download.py", line 100, in download 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', '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']), but got {'yolov3_mobilenetv2_320_300e_coco'}

Francis235 commented 1 year ago

Anyone can provide some help? thanks

quanqigu commented 1 year ago

The same failed on master branch: ValueError: Expected configs: dict_keys(.... but got {'yolov3_mobilenetv2_320_300e_coco'}

open-mmlab / mmdetection

【error】mim download mmdet --config yolov3_mobilenetv2_320_300e_coco --dest . #8421