./tools/dist_test.sh \ configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py \ checkpoints/mask_rcnn_r50_fpn_1x_coco_20200205-d4b0c5d6.pth \ 8 \ -format-only \ --options "jsonfile_prefix=./mask_rcnn_test-dev_results" 这行命令生成两个 JSON 文件 mask_rcnn_test-dev_results.bbox...
And I would like to ask, when I tried to convert the model to ncnn format, it encountered some errors. (openmmlab) PS D:\mmdeploy> python tools/deploy.py configs/mmpose/pose-detection_ncnn_static-384x288.py D:\mmpose\configs\body_2d_keypoint\topdown_heatmap\coco\td-hm_res152_8xb...
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In order to get a more accurate value, currently only supports single GPU distributed startup mode. !python -m torch.distributed.launch \ tools/analysis_tools/benchmark.py \ configs/faster_rcnn/faster-rcnn_r50_fpn_2x_voc_cc.py \ --checkpoint work_dirs/faster-rcnn_r50_fpn_2x_voc/epoch...
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(dict): A specification of previous frames to load. Available options include: - `n_frames`: Number of previous frames to load. - `step`: Offset between frames. - `strict`: Whether to only load samples containing a complete set of frames equal in length to `n_frames`. If True, it ...
Hi, I follow the tutorial https://mmdetection.readthedocs.io/en/v2.1.0/tutorials/new_dataset.html to run Mask-rcnn, and I use ISAID dataset which format is coco format, and I got the error, how can i fix it? this is my custom config edit...