naman-ntc / pytorch-human-pose-estimation Goto Github PK

I have followed the steps as your README file explains. However, when I am running the model, I am getting the following errors. Could you please help?

 The Model chosen for training is : DeepPose
==> initializing 2D train data.
/localhome/prathmeshmadhu/work/2019/Pytorch-Human-Pose-Estimation/data/mpii/worldCoodstrain.mat
/localhome/prathmeshmadhu/work/2019/Pytorch-Human-Pose-Estimation/data
Loaded 2D train 22246 samples
==> initializing 2D val data.
/localhome/prathmeshmadhu/work/2019/Pytorch-Human-Pose-Estimation/data/mpii/worldCoodstrain.mat
/localhome/prathmeshmadhu/work/2019/Pytorch-Human-Pose-Estimation/data
Loaded 2D val 2958 samples
==>Traceback (most recent call last):
  File "main.py", line 37, in <module>
    Trainer.train(TrainDataLoader, ValDataLoader, Epoch, opts.nEpochs)
  File "/localhome/prathmeshmadhu/work/2019/Pytorch-Human-Pose-Estimation/trainer.py", line 27, in train
    train = self._epoch(traindataloader, epoch)
  File "/localhome/prathmeshmadhu/work/2019/Pytorch-Human-Pose-Estimation/trainer.py", line 77, in _epoch
    output = model(data)
  File "/localhome/prathmeshmadhu/.virtualenvs/dl/lib/python3.6/site-packages/torch/nn/modules/module.py", line 489, in __call__
    result = self.forward(*input, **kwargs)
  File "/localhome/prathmeshmadhu/work/2019/Pytorch-Human-Pose-Estimation/models/DeepPose.py", line 16, in forward
    return self.resnet(x)
  File "/localhome/prathmeshmadhu/.virtualenvs/dl/lib/python3.6/site-packages/torch/nn/modules/module.py", line 489, in __call__
    result = self.forward(*input, **kwargs)
  File "/localhome/prathmeshmadhu/.virtualenvs/dl/lib/python3.6/site-packages/torchvision/models/resnet.py", line 162, in forward
    x = self.fc(x)
  File "/localhome/prathmeshmadhu/.virtualenvs/dl/lib/python3.6/site-packages/torch/nn/modules/module.py", line 489, in __call__
    result = self.forward(*input, **kwargs)
  File "/localhome/prathmeshmadhu/.virtualenvs/dl/lib/python3.6/site-packages/torch/nn/modules/linear.py", line 67, in forward
    return F.linear(input, self.weight, self.bias)
  File "/localhome/prathmeshmadhu/.virtualenvs/dl/lib/python3.6/site-packages/torch/nn/functional.py", line 1352, in linear
    ret = torch.addmm(torch.jit._unwrap_optional(bias), input, weight.t())
RuntimeError: size mismatch, m1: [16 x 512], m2: [2048 x 32] at /pytorch/aten/src/THC/generic/THCTensorMathBlas.cu:266

I followed the instruction and tried to run a test.
However, something seems to be wrong with coco api.
I have installed coco api before which was working. I used it in my other work before.

Traceback (most recent call last):
File "main.py", line 2, in
import builder
File "/scratch/liu.shu/codesPool/Pytorch-Human-Pose-Estimation/builder.py", line 5, in
import dataloaders as dataloaders
File "/scratch/liu.shu/codesPool/Pytorch-Human-Pose-Estimation/dataloaders.py", line 1, in
import datasets
File "/scratch/liu.shu/codesPool/Pytorch-Human-Pose-Estimation/datasets/init.py", line 2, in
from datasets.coco import *
File "/scratch/liu.shu/codesPool/Pytorch-Human-Pose-Estimation/datasets/coco.py", line 2, in
from datasets.COCO.coco import COCODataset
File "/scratch/liu.shu/codesPool/Pytorch-Human-Pose-Estimation/datasets/COCO/init.py", line 11, in
from .coco import COCODataset as coco
File "/scratch/liu.shu/codesPool/Pytorch-Human-Pose-Estimation/datasets/COCO/coco.py", line 24, in
from .nms.nms import oks_nms
File "/scratch/liu.shu/codesPool/Pytorch-Human-Pose-Estimation/datasets/COCO/nms/nms.py", line 13, in
from .cpu_nms import cpu_nms
ModuleNotFoundError: No module named 'datasets.COCO.nms.cpu_nms'

@Naman-ntc Hi, just as it is seen in the repo "Also please download and unzip this folder and updates the paths for worldCoors & headSize in the config file." When i click the "this folde" you provided , it seems to tell 404 code. Can I get the worldCoods.mat and headsize.mat in any other way?

Hello,

first of all, thank you for all this work. I know this repo is two years old, but it seems that the link https://www.cse.iitb.ac.in/~namanjain/models.zip is a dead link. I was wondering if you could re-upload the pre-trained models.

Thank you for your help.

hi, I want to visualizate some specified picture,could you please tell me how to achieve it

After following the instruction, I ran command
python main.py -DataConfig conf/datasets/mpii.defconf -ModelConfig conf/models/ChainedPredictions.defconf

Got error:

File "/scratch/liu.shu/codesPool/Pytorch-Human-Pose-Estimation/datasets/mpii.py", line 22, in init
f = H.File('{}/mpii/pureannot/{}.h5'.format(self.opts.dataDir, split), 'r')
File "/home/liu.shu/.conda/envs/pch1.5/lib/python3.8/site-packages/h5py/_hl/files.py", line 406, in init
...
File "h5py/h5f.pyx", line 88, in h5py.h5f.open
OSError: Unable to open file (unable to open file: name = '/scratch/liu.shu/datasets/MPII/mpii/pureannot/train.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)

I didn't see the instruction how to get the mpii/pureannot/train.h5.
Could you provide it?

Hi,

I tried reproducing the results for StackedHourGlass model on COCO dataset using the pretrained weights but the PCK I got on COCO's validation dataset is 68.5

Am I missing something?

Thanks for your excellent works. But it is time consuming in pose attention comparing with the lua-torch version, more specifically，the AttentionIter(). Is there something wrong?

thanks for your code!!
I can't find your train.h5. Where I can find this? in your model.zip?

Hi,
I was wondering what worldCoors and headSize represent and how they are made.
Thanks.

Hi,

I have noted the MPII-Dataset labels only contains one data for each joint.

I am wondering how do you label 2 or more people on one image ? How do you represent it in the label?

Also, if possible. Could you please advise how do you evaluate your model accuracy?

Thanks

Hi,
I was wondering what worldCoors how they are made. I know links are not working and you no longer working in this repo.
I get to understand how headbox matlab is created but couldnt able to understand the logic of worldCoors.
if you able to recall what would worldCoors do with image, it would be very helpful for me to work on my project

Thanks and regards
sathish ram

Thank you very much for your contribution！What does the nModules mean？why nModules=2 ?Looking forward to your answer！

Hello, impressive work. I am wondering whether you can post the results on MPII of the Pyranet. If possible, would you mind posting the pre-trained model as well. Thanks.

Hi,
I do not quite understand the way you process the mpii dataset. Did you first crop the people from the image with the scale and center coordinates, and after that implement the rotate and re-scale to be the input image?

Your implementation just includes stage 1 of deep pose, but leave cascade part out,don't you?
I read the paper but did not quite understand how training is done for stage 2 and afterwards?
How is training data for stage 2 generated? Do we need to first wait stage 1 to be trained and run stage 1 on the training data to produce a coarse estimation and use that estimation to generate patches for stage 2?

I think your code have for single person pose estimation. is there any other evaluate code for multi person pose estimation?

Thank you so much for your cod. @Naman-ntc I have the code of the Stacked Hourglass Net, but it uses lua,not Python. So your code is very import for me.
However I meet a problem when I "python main.py" recently. it dose not work. The last line in bug is ImportError: Building module datasets.COCO.nms.gpu_nms failed:['ImportError:/home/dev0/.pyxbld/lib.linux-x86_64-3.6/datasets/COCO/nms/gpu_nms.cpython-36m-x86_64-linux-gnu.so: undefined symbol: _nms\n'].
I have not this bug at first. It is the second. When the first bug comes, I use import pyximport pyximport.install(), install pyxbld and copy some files in ./dataset/COCO/nms/ to somewhere and. And I do it. But this bug make me sad. So I really need your help.
PS. My command is python main.py -DataConfig ./conf/datasets/coco.defconf -ModelConfig ./conf/models/StackedHourGlass.defconf , and the bug is
.
Waitting in hope for your reply. Thanks so much.

Hi.
I read issue #3 (#3) on using pretrained models so I tried to do as you mentioned in the issue:

However, I get this error:

Since I can not use a gpu. I was wondering if inference is possible with CPU only.
If so, i would really appreciate it that you explain where i'm doing wrong

I did not find the implementation of heuristic mentioned in the original paper, is there any motivation to not implement it?

9

The pre-trained model link seems broken. Can you please update the link?

Hi there,

Thanks for the amazing work and I really appreciate that! I was wondering if you are going to post a demo like using pictures, videos or web_cam? If so, that would be awesome!

Thank you again!

Can you provide implement code for showing the MAP performance on the COCO dataset? Thank you very much if you can help me !!

Hello, i want to reproduce your code. But worldCoors.mat & headSize.mat link failed.

I want to train deeppose with muti-gpu, what should I do? I try change gpu id to 0, 1, 2, 3, but it is not available. Thank you so much if you can help me !

In paper "Human Pose Estimation with Iterative Error Feedback", T is the nuber of correction steps taken by the model. I didn't find the detail in the code. Please help me, thanks very much.

Hi, your README doesn't include how to load pretrained models and infer with a test image. Can you update or show an example here?