Does not display webcam and youtube result

[krolaper]

Search before asking

• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

Detection

Bug

I’m trying to: detect.py --source 0
Hangs in the stage:

YOLOv5 🚀 2022-12-26 Python-3.10.6 torch-1.12.1+cu102 CUDA:0 (NVIDIA GeForce MX130, 2004MiB)

Fusing layers... 
YOLOv5m summary: 290 layers, 22323858 parameters, 0 gradients

With video files and image - normal, but with webcam and link - no.

I went further down the playback path. Go to detect ->

    if webcam:
        view_img = check_imshow(warn=True)

then I will move on to general ->

def check_imshow(warn=False):
	    # Check if environment supports image displays
	    try:
	        assert not is_notebook()
	        assert not is_docker()
	        cv2.imshow('test', np.zeros(((1, 1, 3)))

and on this line of code I have a hang and then the solution does not move.
Numpy ver: 1.23.4, opencv-python ver: last

Environment

YOLOv5 🚀 2022-12-26 Python-3.10.6 torch-1.12.1+cu102 CUDA:0 (NVIDIA GeForce MX130, 2004MiB)

Desktop: Xfce 4.16.0 Distro: Linux Mint 21 Vanessa base: Ubuntu 22.04 jammy
Python 3.10

Minimal Reproducible Example

No response

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[AyushExel]

@krolaper I'm not sure what's happening here but because it's not reproducible for me I'd suggest to you check your webcam-opencv setup. Try to display the webcam feed in an opencv window to confirm.

[krolaper]

@AyushExel So the same thing happens with YouTube. Сamera monitor correct. Until now, everything worked.

[krolaper]

why it can hang at the stage general.py:

def check_imshow(warn=False):
    # Check if environment supports image displays
    try:
        assert not is_notebook()
        assert not is_docker()
        cv2.imshow('test', np.zeros((1, 1, 3)))
        cv2.waitKey(1)
        cv2.destroyAllWindows()
        cv2.waitKey(1)
        return True
    except Exception as e:
        if warn:
            LOGGER.warning(f'WARNING ⚠️ Environment does not support cv2.imshow() or PIL Image.show()\n{e}')
        return False

namely: cv2.imshow('test', np.zeros((1, 1, 3)))
Downloading the last change date didn’t help. Did a test: copied those 4 lines from cv2 and pasted them into a clean script and there they work, but in general.py they do not. Library opencv-python last version

[krolaper]

@AyushExel what version of opencv and numpy and torch do you have installed? Looks like it’s all in new versions.

[AyushExel]

Hi @krolaper the opencv and torch version should satisfy the requirements.txt
You can just run pip insall -r requirements.txt from yolov5 folder

[krolaper]

@AyushExel they are satisfying, there are the most recent versions, but somehow on them and this problem occurs. Tell me on which versions you checked that everything works?

[AyushExel]

@krolaper I'm not sure as I'm on phone right now. I'll check and let you know tonight when I'm back on my system

[krolaper]

@AyushExel Ok

[AyushExel]

@krolaper
opencv==4.6.0
torch==1.13.0
numpy==1.23.4

[krolaper]

@AyushExel After testing different versions, I realized it wasn’t these libraries.
It turned out that hovering occurs when libraries are declared in general.py file:

import torchvision
from utils.metrics import box_iou, fitness

and specifically in utils.metrics ---> import matplotlib.pyplot as plt exactly with pyplot.
I don’t know how to fix it.
Reinstalling these libraries did not help, but only led to the need to reinstall the opencv library after them.

This is my list of libraries, maybe a conflict somewhere?

absl-py==1.3.0
addict==2.4.0
altgraph==0.17.3
asttokens==2.1.0
astunparse==1.6.3
av==10.0.0
backcall==0.2.0
basicsr==1.4.2
beautifulsoup4==4.11.1
bottle==0.12.23
bottle-websocket==0.2.9
bs4==0.0.1
cachetools==5.2.0
certifi==2022.9.24
charset-normalizer==2.1.1
click==8.1.3
contourpy==1.0.6
cycler==0.11.0
decorator==5.1.1
dlib==19.24.0
docutils==0.19
easyocr==1.6.2
Eel==0.14.0
executing==1.2.0
face-recognition==1.3.0
face-recognition-models==0.3.0
facexlib==0.2.5
filelock==3.8.2
filterpy==1.4.5
fire==0.5.0
Flask==2.2.2
flatbuffers==22.12.6
fonttools==4.38.0
future==0.18.2
gast==0.4.0
gdown==4.6.0
gevent==22.10.2
gevent-websocket==0.10.1
gfpgan==1.3.8
gitdb==4.0.10
GitPython==3.1.30
google-auth==2.14.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
greenlet==2.0.1
grpcio==1.50.0
h5py==3.7.0
huggingface-hub==0.11.1
idna==3.4
imageio==2.22.4
ipython==8.6.0
itsdangerous==2.1.2
jedi==0.18.1
Jinja2==3.1.2
keras==2.11.0
Kivy-Garden==0.1.5
kiwisolver==1.4.4
libclang==14.0.6
libretranslatepy==2.1.1
llvmlite==0.39.1
lmdb==1.4.0
lxml==4.9.2
Markdown==3.4.1
MarkupSafe==2.1.1
matplotlib==3.6.2
matplotlib-inline==0.1.6
MouseInfo==0.1.3
mtcnn==0.1.1
networkx==2.8.8
ninja==1.11.1
numba==0.56.4
numpy==1.23.5
nvidia-cublas-cu11==11.10.3.66
nvidia-cuda-nvrtc-cu11==11.7.99
nvidia-cuda-runtime-cu11==11.7.99
nvidia-cudnn-cu11==8.5.0.96
oauthlib==3.2.2
opencv-python==4.5.4.60
opencv-python-headless==4.5.4.60
opt-einsum==3.3.0
ordered-set==4.1.0
packaging==21.3
pafy==0.5.5
pandas==1.5.1
parso==0.8.3
patchelf==0.16.1.0
pexpect==4.8.0
pickleshare==0.7.5
Pillow==9.4.0
playsound==1.3.0
progressbar==2.5
prompt-toolkit==3.0.32
protobuf==3.19.6
psutil==5.9.3
ptyprocess==0.7.0
pure-eval==0.2.2
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycairo==1.23.0
pyclipper==1.3.0.post4
pygame==2.1.2
PyGetWindow==0.0.9
Pygments==2.13.0
PyGObject==3.42.2
pyinstaller==5.7.0
pyinstaller-hooks-contrib==2022.14
PyMsgBox==1.0.9
pyparsing==3.0.9
pyperclip==1.8.2
PyRect==0.2.0
PyScreeze==0.1.28
PySocks==1.7.1
pytesseract==0.3.10
python-bidi==0.4.2
python-dateutil==2.8.2
python-slugify==7.0.0
python3-xlib==0.15
pytweening==1.0.4
pytz==2022.6
PyWavelets==1.4.1
PyYAML==6.0
realesrgan==0.3.0
requests==2.28.1
requests-oauthlib==1.3.1
retina-face==0.0.12
rsa==4.9
scikit-image==0.19.3
scipy==1.9.3
screeninfo==0.8.1
seaborn==0.12.1
shapely==2.0.0
six==1.16.0
smmap==5.0.0
soupsieve==2.3.2.post1
stack-data==0.6.0
tb-nightly==2.12.0a20221226
tensorboard==2.11.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow==2.11.0
tensorflow-estimator==2.11.0
tensorflow-io-gcs-filesystem==0.29.0
termcolor==2.1.1
terminal==0.4.0
text-unidecode==1.3
thop==0.1.1.post2209072238
tifffile==2022.10.10
tkvideoplayer==2.3
torch==1.13.1
torchvision==0.14.1
tqdm==4.64.1
traitlets==5.5.0
translate==3.6.1
ttkbootstrap==1.10.0
typing_extensions==4.4.0
urllib3==1.26.13
wcwidth==0.2.5
Werkzeug==2.2.2
whichcraft==0.6.1
wikipedia==1.4.0
wrapt==1.14.1
xlib==0.21
yapf==0.32.0
youtube-dl==2021.12.17
zope.event==4.5.0
zope.interface==5.5.1

continue the long test.
if you find only the conflict string:
from utils.metrics import box_iou, fitness
then in half a minute the work will be completed with the message:
Backend GTK3Agg is interactive backend. Turning interactive mode on.

prescription. matplotlib.use('TkAgg',force=True)helped me.
left to solve with torchvision.
Reinstalling av librari did not help.
and here is the root of evil people have found: pytorch/vision#5940
What version of av do you use?
It turns out it is enough to remove just av

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