Comments (4)
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 500/500, 1.8 task/s, elapsed: 278s, ETA: 0sTraceback (most recent call last):
File "tools/test_city_person.py", line 226, in
main()
File "tools/test_city_person.py", line 220, in main
MRs = validate('datasets/CityPersons/val_gt.json', args.out)
File "/root/Desktop/Pedestron-master/tools/cityPerson/eval_demo.py", line 11, in validate
cocoDt = cocoGt.loadRes(dt_path)
File "/root/Desktop/Pedestron-master/tools/cityPerson/coco.py", line 313, in loadRes
if 'caption' in anns[0]:
IndexError: list index out of range
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i have fixed it
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Could you share details ? So someone else running into, knows the solution.
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[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 500/500, 1.8 task/s, elapsed: 278s, ETA: 0sTraceback (most recent call last):
File "tools/test_city_person.py", line 226, in
main()
File "tools/test_city_person.py", line 220, in main
MRs = validate('datasets/CityPersons/val_gt.json', args.out)
File "/root/Desktop/Pedestron-master/tools/cityPerson/eval_demo.py", line 11, in validate
cocoDt = cocoGt.loadRes(dt_path)
File "/root/Desktop/Pedestron-master/tools/cityPerson/coco.py", line 313, in loadRes
if 'caption' in anns[0]:
IndexError: list index out of range
Hi,
I am having the same problem with you, could you please tell me how you fix that bug? Thank you!
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Related Issues (20)
- TypeError: __init__() got an unexpected keyword argument 'frozen_stages' HOT 1
- Installtion has issue HOT 1
- error: identifier "THCudaCheck" is undefined HOT 3
- Demo not workingt HOT 1
- Identifier "THCudaCheck" is undefined HOT 1
- Docker image is not working! HOT 4
- Impact of mean_teacher on the training process HOT 1
- CSP pretrained weights HOT 1
- Reproduce resutls on Caltech dataset HOT 3
- Information regarding the training HOT 1
- Image_scale of Caltech while training HOT 6
- ImportError: /pedestron/tools/../mmdet/ops/dcn/deform_conv_cuda.cpython-36m-x86_64-linux-gnu.so: undefined symbol: _ZN6caffe26detail37_typeMetaDataInstance_preallocated_32E HOT 1
- RuntimeError: Expected cudaMemcpy(&mask_host[0], mask_dev, sizeof(unsigned long long) * boxes_num * col_blocks, cudaMemcpyDeviceToHost) == cudaSuccess to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) HOT 1
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- mmdet/ops/roi_align/src/roi_align_kernel.cu(145): error: identifier "THCudaCheck" is undefined HOT 1
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