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Your test.json contains 7247 test samples while the original .mat file contains 11731 test samples. Can you explain the discrepancy? In effect, can you tell me how to start from this codebase and make…
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* Name of dataset: MPII Human Pose Dataset
* URL of dataset: http://human-pose.mpi-inf.mpg.de
* License of dataset: BSD
* Short description of dataset and use case(s): Single/multi target 2D human …
jackd updated
5 years ago
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==> creating model 'hg', stacks=1, blocks=1 …
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OPTIMIZER: adam
RESUME: False
SHUFFLE: True
WD: 0.0001
WORKERS: 24
=> init weights from normal distribution
=> loading pretrained model models/pytorch/imagenet/hrnet_w32-36af842e.pth
Tra…
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hi i have couple of doubts regarding to training.
1)how did you converted mpii data into image_mpii_data.hdf5 format.
2) in mpii there is point name pelvis , which is come on the navel of the body, …
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Hi, thanks for your great work!
When I run the test.py for MPII dataset, I found the MPII test.json file is not suitable for the MPII.py, only train.json can run. Do you know why.
Thanks!
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I try to run "python example/mpii.py -a hg --stacks 8 --blocks 1 --checkpoint checkpoint/hg_s8_b1/ " in your code , compare to your log.txt,loss can descend as same with you,but acc samll too mush,jus…
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thanks for you code !but when i run
gen_cropped_LSP_test_images
>> gen_cropped_LSP_test_images
Undefined function or variable "joint_all".
Error in gen_cropped_LSP_test_images (line 105)
…
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使用mpii数据集训练过程中,所有的Accuracy都为0,包括各个关键点的精度都是为0,想请教下是否有遇到过同样问题
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Recently I reproduced the experiments of HRnet and trained COCO and MPII dataset by myself. I find that the val accuracy of COCO dataset can exactly reach the accuracy in paper. But for MPII dataset m…