inference error when use config file ms_rcnn_x101_64x4d_fpn_1x.py

Thanks for your error report and we appreciate it a lot.

Checklist 1.I’m not find the bug has been fixed 2. en… the amount of the issues is so much

Describe the bug an error occured when i inference use ms_rcnn_x101_64x4d_fpn_1x model，the detail of the error is as follows:

Traceback (most recent call last): File “infer_oct_binary_ms.py”, line 389, in <module> dic_img_name_to_disease_list=inference_OCT(config_file,checkpoint_file,out_file,test_img_dir,score_thr,normal_img_dir) File “infer_oct_binary_ms.py”, line 27, in inference_OCT out_file=out_file+‘/{}’.format(img_name)) File “/home/lwc/GitHub/mmdetection/mmdet/apis/inference.py”, line 136, in show_result img[mask] = img[mask] * 0.5 + color_mask * 0.5 IndexError: boolean index did not match indexed array along dimension 2; dimension is 3 but corresponding boolean dimension is 2

I found that the shape of the mask is (494, 765, 2) ,and the shape of the img is (494, 765, 3) in ms ,for comparision， the inference for cascade mask rcnn model is runned again，and the shape of the mask is (494, 765)

Reproduction

1. What command or script did you run?

A placeholder for the command.

1. Did you make any modifications on the code or config? Did you understand what you have modified? I just add return for the result without modifying the code.
2. What dataset did you use? None Environment I think it’s none of the environment’s business

• OS: [e.g., Ubuntu 16.04.6]
• GCC [e.g., 5.4.0]
• PyTorch version [e.g., 1.1.0]
• How you installed PyTorch [e.g., pip, conda, source]
• GPU model [e.g., 1080Ti, V100]
• CUDA and CUDNN version: CUDA 10.1 CUDNN:7.1
• [optional] Other information that may be related (such as $PATH, $LD_LIBRARY_PATH, $PYTHONPATH, etc.)

Error traceback If applicable, paste the error trackback here.

dic_img_name_to_disease_list=inference_OCT(config_file,checkpoint_file,out_file,test_img_dir,score_thr,normal_img_dir)
  File "infer_oct_binary_ms.py", line 27, in inference_OCT
    out_file=out_file+'/{}'.format(img_name))
  File "/home/lwc/GitHub/mmdetection/mmdet/apis/inference.py", line 136, in show_result
    img[mask] = img[mask] * 0.5 + color_mask * 0.5
IndexError: boolean index did not match indexed array along dimension 2; dimension is 3 but corresponding boolean dimension is 2

Bug fix None

[github-eliviate]

Thanks for reporting the bug. This is the temporary solution.

result = inference_detector(model, img)
result = (result[0], result[1][0])

[github-eliviate]

when you use mask score R-CNN for inference, extra code should be added after inference_detector function to get the result object, the extra code is result = (result[0], result[1][0]),just as i said before