smoke_dla34_pytorch_dlaneck_gn-all_8x4_6x_kitti-mono3d config does not exists

damavand1 commented 8 months ago

Prerequisite

[X] I have searched Issues and Discussions but cannot get the expected help.
[X] I have read the FAQ documentation but cannot get the expected help.
[X] The bug has not been fixed in the latest version (dev-1.x) or latest version (dev-1.0).

Task

I'm using the official example scripts/configs for the officially supported tasks/models/datasets.

Branch

main branch https://github.com/open-mmlab/mmdetection3d

Environment

conda create --name openmmlab python=3.8 -y

cuda -> https://developer.nvidia.com/cuda-11-8-0-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=22.04&target_type=deb_local

pytorch -> pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu118

pip install -U openmim mim install mmengine pip install mmcv==2.1.0 -f https://download.openmmlab.com/mmcv/dist/cu118/torch2.1/index.html mim install 'mmdet>=3.0.0'

git clone https://github.com/open-mmlab/mmdetection3d.git -b dev-1.x cd mmdetection3d pip install -v -e .

Reproduces the problem - code sample

in "2 inference-camera.ipynb" file: !mim download mmdet3d --config smoke_dla34_pytorch_dlaneck_gn-all_8x4_6x_kitti-mono3d --dest checkpoints

return this error:

Traceback (most recent call last): File "/home/user1/miniconda3/envs/openmmlab/bin/mim", line 8, in sys.exit(cli()) File "/home/user1/miniconda3/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 1157, in call return self.main(args, kwargs) File "/home/user1/miniconda3/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 1078, in main rv = self.invoke(ctx) File "/home/user1/miniconda3/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 1688, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/user1/miniconda3/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 1434, in invoke return ctx.invoke(self.callback, ctx.params) File "/home/user1/miniconda3/envs/openmmlab/lib/python3.8/site-packages/click/core.py", line 783, in invoke return __callback(args, **kwargs) File "/home/user1/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mim/commands/download.py", line 70, in cli download(package, configs, dest_root, check_certificate, dataset) File "/home/user1/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mim/commands/download.py", line 107, in download return _download_configs(package, configs, dest_root, File "/home/user1/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mim/commands/download.py", line 137, in _download_configs raise ValueError( ValueError: Expected configs: dict_keys(['3dssd_4x4_kitti-3d-car', 'centerpoint_voxel01_second_secfpn_head-circlenms_8xb4-cyclic-20e_nus-3d', 'centerpoint_voxel01_second_secfpn_head-dcn-circlenms_8xb4-cyclic-20e_nus-3d', 'centerpoint_voxel0075_second_secfpn_head-circlenms_8xb4-cyclic-20e_nus-3d', 'centerpoint_voxel0075_second_secfpn_head-dcn-circlenms_8xb4-cyclic-20e_nus-3d', 'centerpoint_pillar02_second_secfpn_head-circlenms_8xb4-cyclic-20e_nus-3d', 'centerpoint_pillar02_second_secfpn_head-dcn_8xb4-cyclic-20e_nus-3d', 'dgcnn_4xb32-cosine-100e_s3dis-seg_test-area1.py', 'dgcnn_4xb32-cosine-100e_s3dis-seg_test-area2.py', 'dgcnn_4xb32-cosine-100e_s3dis-seg_test-area3.py', 'dgcnn_4xb32-cosine-100e_s3dis-seg_test-area4.py', 'dgcnn_4xb32-cosine-100e_s3dis-seg_test-area5.py', 'dgcnn_4xb32-cosine-100e_s3dis-seg_test-area6.py', 'dv_second_secfpn_6x8_80e_kitti-3d-car', 'dv_second_secfpn_2x8_cosine_80e_kitti-3d-3class', 'dv_pointpillars_secfpn_6x8_160e_kitti-3d-car', 'fcos3d_r101-caffe-dcn_fpn_head-gn_8xb2-1x_nus-mono3d_finetune', 'pointpillars_hv_fpn_sbn-all_8xb4-2x_nus-3d', 'pointpillars_hv_fpn_head-free-anchor_sbn-all_8xb4-2x_nus-3d', 'pointpillars_hv_regnet-400mf_fpn_sbn-all_8xb4-2x_nus-3d', 'pointpillars_hv_regnet-400mf_fpn_head-free-anchor_sbn-all_8xb4-2x_nus-3d', 'hv_pointpillars_regnet-1.6gf_fpn_sbn-all_free-anchor_4x8_2x_nus-3d', 'pointpillars_hv_regnet-1.6gf_fpn_head-free-anchor_sbn-all_8xb4-strong-aug-3x_nus-3d', 'pointpillars_hv_regnet-3.2gf_fpn_head-free-anchor_sbn-all_8xb4-2x_nus-3d', 'pointpillars_hv_regnet-3.2gf_fpn_head-free-anchor_sbn-all_8xb4-strong-aug-3x_nus-3d', 'groupfree3d_head-L6-O256_4xb8_scannet-seg.py', 'groupfree3d_head-L12-O256_4xb8_scannet-seg.py', 'groupfree3d_w2x-head-L12-O256_4xb8_scannet-seg.py', 'groupfree3d_w2x-head-L12-O512_4xb8_scannet-seg.py', 'h3dnet_3x8_scannet-3d-18class', 'imvotenet_faster_rcnn_r50_fpn_2x4_sunrgbd-3d-10class', 'imvotenet_stage2_16x8_sunrgbd-3d-10class', 'imvoxelnet_kitti-3d-car', 'monoflex_dla34_pytorch_dlaneck_gn-all_2x4_6x_kitti-mono3d', 'dv_mvx-fpn_second_secfpn_adamw_2x8_80e_kitti-3d-3class', 'mask-rcnn_r50_fpn_1x_nuim', 'mask-rcnn_r50_fpn_coco-2x_1x_nuim', 'mask-rcnn_r50_caffe_fpn_1x_nuim', 'mask-rcnn_r50_caffe_fpn_coco-3x_1x_nuim', 'mask-rcnn_r50_caffe_fpn_coco-3x_20e_nuim', 'mask-rcnn_r101_fpn_1x_nuim', 'mask-rcnn_x101_32x4d_fpn_1x_nuim', 'cascade-mask-rcnn_r50_fpn_1x_nuim', 'cascade-mask-rcnn_r50_fpn_coco-20e_1x_nuim', 'cascade-mask-rcnn_r50_fpn_coco-20e_20e_nuim', 'cascade-mask-rcnn_r101_fpn_1x_nuim', 'cascade-mask-rcnn_x101_32x4d_fpn_1x_nuim', 'htc_r50_fpn_coco-20e_1x_nuim', 'htc_r50_fpn_coco-20e_20e_nuim', 'htc_x101_64x4d_fpn_dconv_c3-c5_coco-20e_16x1_20e_nuim', 'paconv_ssg_8xb8-cosine-150e_s3dis-seg.py', 'paconv_ssg-cuda_8xb8-cosine-200e_s3dis-seg', 'parta2_hv_secfpn_8xb2-cyclic-80e_kitti-3d-3class', 'parta2_hv_secfpn_8xb2-cyclic-80e_kitti-3d-car', 'pgd_r101-caffe_fpn_head-gn_4xb3-4x_kitti-mono3d', 'pgd_r101-caffe_fpn_head-gn_16xb2-1x_nus-mono3d', 'pgd_r101-caffe_fpn_head-gn_16xb2-1x_nus-mono3d_finetune', 'pgd_r101-caffe_fpn_head-gn_16xb2-2x_nus-mono3d', 'pgd_r101-caffe_fpn_head-gn_16xb2-2x_nus-mono3d_finetune', 'point-rcnn_8xb2_kitti-3d-3class', 'pointnet2_ssg_2xb16-cosine-200e_scannet-seg-xyz-only', 'pointnet2_ssg_2xb16-cosine-200e_scannet-seg', 'pointnet2_msg_2xb16-cosine-250e_scannet-seg-xyz-only', 'pointnet2_msg_2xb16-cosine-250e_scannet-seg', 'pointnet2_ssg_2xb16-cosine-50e_s3dis-seg', 'pointnet2_msg_2xb16-cosine-80e_s3dis-seg', 'pointpillars_hv_secfpn_8xb6-160e_kitti-3d-car', 'pointpillars_hv_secfpn_8xb6-160e_kitti-3d-3class', 'pointpillars_hv_secfpn_sbn-all_8xb4-2x_nus-3d', 'pointpillars_hv_secfpn_sbn-all_8xb4-amp-2x_nus-3d', 'pointpillars_hv_fpn_sbn-all_8xb4-amp-2x_nus-3d', 'pointpillars_hv_secfpn_sbn-all_8xb2-2x_lyft-3d', 'pointpillars_hv_fpn_sbn-all_8xb2-2x_lyft-3d', 'pointpillars_hv_secfpn_sbn_2x16_2x_waymoD5-3d-car', 'pointpillars_hv_secfpn_sbn_2x16_2x_waymoD5-3d-3class', 'pointpillars_hv_secfpn_sbn_2x16_2x_waymo-3d-car', 'pointpillars_hv_secfpn_sbn_2x16_2x_waymo-3d-3class', 'pointpillars_hv_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d', 'pointpillars_hv_regnet-1.6gf_fpn_sbn-all_8xb4-2x_nus-3d', 'pointpillars_hv_regnet-400mf_secfpn_sbn-all_2x8_2x_lyft-3d', 'pointpillars_hv_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d', 'second_hv_secfpn_8xb6-80e_kitti-3d-car', 'second_hv_secfpn_8xb6-80e_kitti-3d-3class', 'second_hv_secfpn_sbn-all_16xb2-2x_waymoD5-3d-3class', 'second_hv_secfpn_8xb6-amp-80e_kitti-3d-car', 'second_hv_secfpn_8xb6-amp-80e_kitti-3d-3class', 'smoke_dla34_dlaneck_gn-all_4xb8-6x_kitti-mono3d', 'hv_ssn_secfpn_sbn-all_16xb2-2x_nus-3d', 'hv_ssn_regnet-400mf_secfpn_sbn-all_16xb2-2x_nus-3d', 'hv_ssn_secfpn_sbn-all_16xb2-2x_lyft-3d', 'hv_ssn_regnet-400mf_secfpn_sbn-all_16xb1-2x_lyft-3d', 'votenet_8xb16_sunrgbd-3d.py', 'votenet_8xb8_scannet-3d.py', 'votenet_iouloss_8x8_scannet-3d-18class', 'minkunet18_w16_torchsparse_8xb2-amp-15e_semantickitti', 'minkunet18_w20_torchsparse_8xb2-amp-15e_semantickitti', 'minkunet18_w32_torchsparse_8xb2-amp-15e_semantickitti', 'minkunet34_w32_minkowski_8xb2-laser-polar-mix-3x_semantickitti', 'minkunet34_w32_spconv_8xb2-amp-laser-polar-mix-3x_semantickitti', 'minkunet34_w32_spconv_8xb2-laser-polar-mix-3x_semantickitti', 'minkunet34_w32_torchsparse_8xb2-amp-laser-polar-mix-3x_semantickitti', 'minkunet34_w32_torchsparse_8xb2-laser-polar-mix-3x_semantickitti', 'minkunet34v2_w32_torchsparse_8xb2-amp-laser-polar-mix-3x_semantickitti', 'cylinder3d_4xb4-3x_semantickitti', 'cylinder3d_8xb2-laser-polar-mix-3x_semantickitti', 'pv_rcnn_8xb2-80e_kitti-3d-3class', 'fcaf3d_2xb8_scannet-3d-18class', 'fcaf3d_2xb8_sunrgbd-3d-10class', 'fcaf3d_2xb8_s3dis-3d-5class', 'spvcnn_w16_8xb2-amp-15e_semantickitti', 'spvcnn_w20_8xb2-amp-15e_semantickitti', 'spvcnn_w32_8xb2-amp-15e_semantickitti', 'spvcnn_w32_8xb2-amp-laser-polar-mix-3x_semantickitti']), but got {'smoke_dla34_pytorch_dlaneck_gn-all_8x4_6x_kitti-mono3d'}

Reproduces the problem - command or script

a

Reproduces the problem - error message

a

Additional information

No response

damavand1 commented 8 months ago

Hi I found result

Dear admin, please remove this issue

Tnx

damavand1 commented 8 months ago

Hi I found result

Dear admin, please remove this issue

Tnx

levtempfli commented 6 months ago

Hi. How did you solve it?

akramsalim commented 5 months ago

I think you need to make sure that that file name is already in the directory. Because the name on github isn't exactly as the one in the dir when you download the mmdetection3d

open-mmlab / mmdetection3d