ValueError: not enough values to unpack (expected 7, got 6)
PalakHarwani opened this issue · 10 comments
Hi, thank you for your work. I was trying to run the following :
import cv2
from SimpleHRNet import SimpleHRNet
model = SimpleHRNet(48, 17, "./weights/pose_hrnet_w48_384x288.pth")
img_file = <path to image >
image = cv2.imread(img_file, cv2.IMREAD_COLOR)
joints = model.predict(image)
However, I get the following error:
device: 'cpu'
Traceback (most recent call last):
File "....\simple-HRNet\scripts\hrnet_to_openpose.py", line 19, in <module>
joints = model.predict(image)
File "....\simple-HRNet\SimpleHRNet.py", line 176, in predict
return self._predict_single(image)
File "....\simple-HRNet\SimpleHRNet.py", line 207, in _predict_single
for i, (x1, y1, x2, y2, conf, cls_conf, cls_pred) in enumerate(detections):
ValueError: not enough values to unpack (expected 7, got 6)
My image consists of only one person but I wanted to use multi-person support as the person is not in the exact center in some of the images. Any help would be appreciated.
Thank you!
Hi!
I tried to reproduce the issue, but your code works on my machine. Could you please provide some additional context?
I think the issue may be related to the version of yolo, could you report the version and the weights you're currently using?
Have you installed yolov3 using git submodule update --init --recursive
?
Using multi-person even with only one person is definitely fine! Indeed, it often yields to better results.
Hi,
I am using yolo version 3. I didn't install it using git submodule update --init --recursive
but I cloned the repository from here and changed its name as mentioned in the README file. I downloaded the weights using the bash script but I'm not sure about the version. The names of the files are yolov3.weights
, yolov3-tiny.weights
and darknet53.conv.74
.
Ok, that's correct.
Unfortunately, I still can't reproduce the issue.
As you can see here, the output of yolo contains 7 values for each detection, but the detections
you get contain only 6 values.
Have you made any changes to the YOLOv3
class?
Could you please also provide the output of the command pip freeze
?
hello, I have the same problem.
I haven't made any changes to the YOLOv3 class.
I didn't make any changes to the YOLOv3 class. Here's the output of pip freeze
:
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alabaster==0.7.12
appdirs==1.4.4
argh==0.26.2
astroid @ file:///C:/ci/astroid_1613500971479/work
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munkres==1.1.4
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networkx @ file:///tmp/build/80754af9/networkx_1598376031484/work
numpy @ file:///C:/ci/numpy_and_numpy_base_1603468620949/work
numpydoc @ file:///tmp/build/80754af9/numpydoc_1605117425582/work
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olefile==0.46
opencv-python==4.5.1.48
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pandocfilters @ file:///C:/ci/pandocfilters_1605102427207/work
paramiko @ file:///tmp/build/80754af9/paramiko_1598886428689/work
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ptyprocess @ file:///tmp/build/80754af9/ptyprocess_1609355006118/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
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pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1608057966937/work
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python-language-server @ file:///tmp/build/80754af9/python-language-server_1607972495879/work
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Shapely==1.7.1
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torchvision==0.9.1
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zipp @ file:///tmp/build/80754af9/zipp_1604001098328/work
I am also getting the same issue while running for multiple person pose esimtation.
When, I am doing without making any changes in code, I am getting this error:
device: 'cpu'
Traceback (most recent call last):
File "live-demo.py", line 185, in
main(**args.dict)
File "live-demo.py", line 55, in main
model = SimpleHRNet(
File "/home/aman/Documents/College_Major_Project/majorproject-env/simple-HRNet/scripts/SimpleHRNet.py", line 130, in init
self.detector = YOLOv3(model_def=yolo_model_def,
File "/home/aman/Documents/College_Major_Project/majorproject-env/simple-HRNet/scripts/models/detectors/YOLOv3.py", line 101, in init
self.model = Darknet(model_def,img_size = img_size).to(self.device)
TypeError: init() got an unexpected keyword argument 'img_size'
When I remove, 'img_size' parameter, I get the same error which you get which is :
ValueError: not enough values to unpack (expected 7, got 6)
Thank you all for the feedback.
I will investigate the issue and let you know as soon as I have an update.
I think the issue is caused by having the wrong version of PyTorch-YOLOv3.
You should have this specific version otherwise it won't work: 47b7c912877ca69db35b8af3a38d6522681b3bb3
@PalakHarwani @moritos @AmanGoyal99
-
Could you please try downloading yolov3 manually from the previous link and replacing your current yolo? (i.e. delete the old folder
models/detectors/yolo
and replace it with the downloaded one) -
Have you got this repository using
git clone
or with the github download button?
I'm worried that thegit submodule
command won't work properly when this repo is downloaded instead of being cloned using git clone.
Hi @stefanopini ,
I had cloned the repository, I didn't download it manually. Also, I had cloned the yolov3 repo, I didn't use the git submodule
command, so I don't think that is causing the issue here.
Also, I downloaded the yolov3 repository again using the download button, and it is working, I did not get the same error again.
If you cloned the yolov3 repo instead of using the git submodule
command, I think that was the problem.
I set up git to download a specific version of yolov3 (the one I used when working on this repo) instead of the last one but it works only using git submodule
.
Anyway, I'm glad you have this repo working now! Feel free to open another issue if you encounter any other problem.