Torchvision import leads to OpenCV imshow freeze

[Flova]

🐛 Describe the bug

Showing an image using OpenCV leads to the program getting stuck (100% CPU) without showing the image if torchvision is imported.

import numpy as np
import cv2

import torchvision
cv2.imshow("debug", np.zeros((128,128,3), dtype=np.uint8))   # Frezzes at this line if torchvision is imported
cv2.waitKey(1)

Expected result: The image is displayed and the program finishes.

Versions

PyTorch version: 1.11.0+cu102
Is debug build: False
CUDA used to build PyTorch: 10.2
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.4 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: version 3.16.3
Libc version: glibc-2.31

Python version: 3.8.10 (default, Mar 15 2022, 12:22:08) [GCC 9.4.0] (64-bit runtime)
Python platform: Linux-5.13.0-37-generic-x86_64-with-glibc2.29
Is CUDA available: True
CUDA runtime version: Could not collect
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 2080 Ti
Nvidia driver version: 470.103.01
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.22.3
[pip3] pytorchvideo==0.1.5
[pip3] torch==1.11.0
[pip3] torch-summary==1.4.5
[pip3] torchvision==0.12.0
[conda] Could not collect

[Flova]

I don#t know why it is not listed there, but OpenCV is also installed in the venv. I checked the path and the version is not from the system.

Version:

import cv2
cv2.__version__
4.5.5

[Flova]

In case anyone is interested, here is the poetry lock file of the venv:

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[Flova]

Displaying an image before the import leads to them being displayed also after the import.

[pmeier]

Thanks for the report. I can't reproduce in a clean conda environment. Could you try the following where main.py contains the snippet you posted above?

$ conda create -n tv-5940 -y python=3.8
$ conda activate tv-5940
$ pip install torch torchvision opencv-python
$ python main.py

Does the error persist?

[juhan]

I did come across the cv2.imshow freeze as well, but it seems to be kind of interaction between torchvision and pytorchvideo. The way to reproduce in Ubuntu 20.04 / Python 3.8:

$ python3 -m venv testenv
$ . testenv/bin/activate
(testenv) $ pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu113
Requirement already satisfied: torch in ./lib/python3.8/site-packages (1.11.0+cu113)
Requirement already satisfied: torchvision in ./lib/python3.8/site-packages (0.12.0+cu113)
Requirement already satisfied: torchaudio in ./lib/python3.8/site-packages (0.11.0+cu113)
Requirement already satisfied: typing-extensions in ./lib/python3.8/site-packages (from torch) (4.2.0)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in ./lib/python3.8/site-packages (from torchvision) (9.1.0)
Requirement already satisfied: numpy in ./lib/python3.8/site-packages (from torchvision) (1.22.3)
Requirement already satisfied: requests in ./lib/python3.8/site-packages (from torchvision) (2.27.1)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in ./lib/python3.8/site-packages (from requests->torchvision) (1.26.9)
Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in ./lib/python3.8/site-packages (from requests->torchvision) (2.0.12)
Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in ./lib/python3.8/site-packages (from requests->torchvision) (3.3)
Requirement already satisfied: certifi>=2017.4.17 in ./lib/python3.8/site-packages (from requests->torchvision) (2021.10.8)
(testenv) $ # or the CPU version: pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cpu
(testenv) $ # or the nightly CUDA version: pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cu113

(testenv) $ pip3 install opencv-contrib-python
Requirement already satisfied: opencv-contrib-python in ./lib/python3.8/site-packages (4.5.5.64)
Requirement already satisfied: numpy>=1.14.5; python_version >= "3.7" in ./lib/python3.8/site-packages (from opencv-contrib-python) (1.22.3)

In this environment the above script reported by @Flova runs fine. Now when installing pytorchvideo

(testenv) $ pip install pytorchvideo
Requirement already satisfied: pytorchvideo in ./lib/python3.8/site-packages (0.1.5)
Requirement already satisfied: networkx in ./lib/python3.8/site-packages (from pytorchvideo) (2.8)
Requirement already satisfied: fvcore in ./lib/python3.8/site-packages (from pytorchvideo) (0.1.5.post20220504)
Requirement already satisfied: av in ./lib/python3.8/site-packages (from pytorchvideo) (9.2.0)
Requirement already satisfied: iopath in ./lib/python3.8/site-packages (from pytorchvideo) (0.1.9)
Requirement already satisfied: parameterized in ./lib/python3.8/site-packages (from pytorchvideo) (0.8.1)
Requirement already satisfied: termcolor>=1.1 in ./lib/python3.8/site-packages (from fvcore->pytorchvideo) (1.1.0)
Requirement already satisfied: numpy in ./lib/python3.8/site-packages (from fvcore->pytorchvideo) (1.22.3)
Requirement already satisfied: tqdm in ./lib/python3.8/site-packages (from fvcore->pytorchvideo) (4.64.0)
Requirement already satisfied: tabulate in ./lib/python3.8/site-packages (from fvcore->pytorchvideo) (0.8.9)
Requirement already satisfied: yacs>=0.1.6 in ./lib/python3.8/site-packages (from fvcore->pytorchvideo) (0.1.8)
Requirement already satisfied: Pillow in ./lib/python3.8/site-packages (from fvcore->pytorchvideo) (9.1.0)
Requirement already satisfied: pyyaml>=5.1 in ./lib/python3.8/site-packages (from fvcore->pytorchvideo) (6.0)
Requirement already satisfied: portalocker in ./lib/python3.8/site-packages (from iopath->pytorchvideo) (2.4.0)

The same script gets stuck by hogging a single core of the CPU 100% and not even accepting SIGINT signals. Note that when commenting out the import torchvision, the script works fine. So there is some kind of interference between torchvision and pytorchvideo happening in the background which breaks things.

When uninstalling pytorchvideo, the cv2.imshow works again with import torchvision present in the script.

Tested it with torch nightly as well. Same behaviour.

[pmeier]

Thanks for the extra information @juhan! I can reproduce the error now by also installing pytorchvideo:

$ conda create -n tv-5940 -y python=3.8
$ conda activate tv-5940
$ pip install torch torchvision opencv-python pytorchvideo
$ python main.py

[NicolasHug]

Can you try to import torch before importing torchvision:

import torch
import torchvision

?

IIRC import torch does some magic symbol resolution which might be needed here?

[pmeier]

Can narrow it down to PyAV:

$ conda create -n tv-5940 -y python=3.8
$ conda activate tv-5940
$ pip install torchvision opencv-python av
$ python main.py

The error goes away for av<9 cc @bjuncek. Since pytorchvideo does not require a specific version you can use this as a quick workaround.

[pmeier]

The problem is unrelated to torchvision:

# main.py
import numpy as np
import cv2
import av

cv2.imshow("debug", np.zeros((128,128,3), dtype=np.uint8))
cv2.waitKey(1)

$ conda create -n tv-5940 -y python=3.8
$ conda activate tv-5940
$ pip install numpy opencv-python av
$ python main.py

The reason you are seeing this is that as a side effect of import torchvision also import av happens:

vision/torchvision/__init__.py

Line 6 in 6274080

from torchvision import io

vision/torchvision/io/__init__.py

Line 35 in 6274080

from .video import (

vision/torchvision/io/video.py

Line 17 in 6274080

import av

This should be reported to respective projects. Given that av<9 does not have this problem, maybe the ffmpeg version got upgraded and is now clashing with cv2?

[Flova]

So you suggest that I should open an issue for the repo of av and pytorchvideo?

[pmeier]

pytorchvideo has also nothing to do with this other than pulling in the av dependency. As you can see in #5940 (comment) you need neither torchvision nor pytorchvideo to reproduce the behavior.

I would start by reporting to av and probably also to opencv-python. My best guess is that this is related to a mismatch of the ffmpeg versions that they ship. But this is best answered by someone actually knowing the internals.