wrong label generated by image_demo！

Prerequisite

[X] I have searched the existing and past issues 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.

🐞 Describe the bug

Hello, I use the absolute address of the file displayed by the label tag generated by image_demo.py of mmyolo0.5.0, but I want a similar relative address of the document, how should I modify it? Thanks

{ "version": "5.1.1", "flags": {}, "imagePath": "/home/panda/pycharm/openMMlab/data/work-1000/images/0001.jpg", "imageData": null, "imageHeight": 400, "imageWidth": 600, "shapes": [ { "label": "car", "points": [ [ 33.8625602722168, 119.3039321899414 ], [ 573.2908935546875, 384.2745361328125 ] ], "group_id": null, "shape_type": "rectangle", "flags": {} }, { "label": "car", "points": [ [ 511.4561462402344, 120.16896057128906 ], [ 599.3637084960938, 243.46884155273438 ] ], "group_id": null, "shape_type": "rectangle", "flags": {} }, { "label": "car", "points": [ [ 441.11749267578125, 125.82024383544922 ], [ 575.0388793945312, 206.77247619628906 ] ], "group_id": null, "shape_type": "rectangle", "flags": {} }, { "label": "car", "points": [ [ 0.3799000680446625, 131.34495544433594 ], [ 28.245372772216797, 154.6302032470703 ] ], "group_id": null, "shape_type": "rectangle", "flags": {} } ] }

command: python mmyolo/demo/image_demo.py ./data/work-1000/images mmyolo/work_train_dir/yolov5_s_coco-c5-n7w/yolov5_s-v61_syncbn_fast_8xb16-300e_images3000.py mmyolo/work_train_dir/yolov5_s_coco-c5-n7w/epoch_210.pth --out-dir ./data/work-1000/labels --to-labelme

Environment

/home/panda/anaconda3/envs/torch/bin/python /home/panda/pycharm/openMMlab/mmyolo/mmyolo/utils/collect_env.py sys.platform: linux Python: 3.8.16 (default, Mar 2 2023, 03:21:46) [GCC 11.2.0] CUDA available: True numpy_random_seed: 2147483648 GPU 0: NVIDIA GeForce RTX 3080 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.58 GCC: gcc (Ubuntu 9.5.0-1ubuntu1~22.04) 9.5.0 PyTorch: 1.10.1 PyTorch compiling details: PyTorch built with:

GCC 7.3
C++ Version: 201402
Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications
Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740)
OpenMP 201511 (a.k.a. OpenMP 4.5)
LAPACK is enabled (usually provided by MKL)
NNPACK is enabled
CPU capability usage: AVX2
CUDA Runtime 11.3
NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37
CuDNN 8.2
Magma 2.5.2
Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON,

TorchVision: 0.11.2 OpenCV: 4.2.0 MMEngine: 0.7.3 MMCV: 2.0.0 MMDetection: 3.0.0 MMYOLO: 0.5.0+dc85144

Additional information

No response

open-mmlab / mmdetection