a problem about the visualization

[XIAOYEJIAYOU]

I tried to run the main.py and the visualization result is shown above (a blank picture).

It sames dosen't capture the key part of the whole picture.

I tried to scroll down heavily and the gray lane appeared gradually but I still didn't see any vehicles by now.

So, it is there any good suggestions to handle this situation?

My matplotlib is 3.3.2

[dinesh-k-natarajan]

I faced the same issue while using matplotlib 3.2.2.

However, this repository was first published in October 2018. The latest stable version of matplotlib from this time was 3.0.3.

After switching to matplotlib 3.0.3, I was able to visualize the tracks using main.py. No other changes were necessary.

[uday2430]

please help me,
i need longitude and latitude of data collected locations (highD data set)
https://www.highd-dataset.com/static/img/location.6a3874e.png

[oniisancr]

So do I!
I faced the same issue while using matplotlib 3.3.4.
How to solve this?

[EnnaSachdeva]

Creating a new virtual env with the following packages worked for me.

absl-py==0.12.0
aiocontextvars==0.2.2
array2gif==1.0.4
astroid==2.4.2
attrs==19.3.0
backcall==0.2.0
bleach==3.1.5
cachetools==4.2.2
certifi==2020.6.20
chardet==3.0.4
contextvars==2.4
cycler==0.10.0
Cython==0.29.21
dataclasses==0.8
decorator==4.4.2
defusedxml==0.6.0
entrypoints==0.3
future==0.18.2
google-auth==1.30.0
google-auth-oauthlib==0.4.4
grpcio==1.37.1
h5py==2.10.0
idna==2.10
imageio==2.9.0
imageio-ffmpeg==0.4.3
immutables==0.15
importlib-metadata==1.7.0
imutils==0.5.4
ipykernel==5.3.2
ipython==7.9.0
ipython-genutils==0.2.0
isort==4.3.21
jedi==0.17.1
Jinja2==2.11.2
joblib==0.16.0
json5==0.9.5
jsonschema==3.2.0
jupyter-client==6.1.5
jupyter-core==4.6.3
jupyterlab==2.2.0
jupyterlab-server==1.2.0
kiwisolver==1.1.0
lazy-object-proxy==1.4.3
llvmlite==0.33.0
loguru==0.5.3
Markdown==3.3.4
MarkupSafe==1.1.1
matplotlib==3.0.3
mccabe==0.6.1
mistune==0.8.4
moviepy==1.0.3
nbconvert==5.6.1
nbformat==5.0.7
networkx==2.5.1
notebook==6.0.3
numba==0.50.1
numpy==1.18.5
oauthlib==3.1.0
opencv-contrib-python==4.5.2.54
opencv-python==4.1.2.30
packaging==20.4
pandas==0.24.2
pandocfilters==1.4.2
parso==0.7.0
pexpect==4.8.0
pickleshare==0.7.5
Pillow==7.2.0
pkg_resources==0.0.0
plotly==4.9.0
proglog==0.1.9
prometheus-client==0.8.0
prompt-toolkit==2.0.10
protobuf==3.17.0
ptyprocess==0.6.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
Pygments==2.6.1
pylint==2.5.3
pyparsing==2.4.7
PyQt5==5.15.4
PyQt5-Qt5==5.15.2
PyQt5-sip==12.9.0
pyrsistent==0.16.0
python-dateutil==2.8.1
pytz==2020.1
PyWavelets==1.1.1
pyzmq==19.0.1
requests==2.24.0
requests-oauthlib==1.3.0
retrying==1.3.3
rsa==4.7.2
scikit-image==0.17.2
scikit-learn==0.23.1
scipy==1.4.1
seaborn==0.10.1
Send2Trash==1.5.0
six==1.15.0
tensorboard==2.5.0
tensorboard-data-server==0.6.1
tensorboard-logger==0.1.0
tensorboard-plugin-wit==1.8.0
terminado==0.8.3
testpath==0.4.4
threadpoolctl==2.1.0
tifffile==2020.9.3
toml==0.10.1
torch==1.8.0
torchaudio==0.8.1
torchvision==0.9.1+cu111
tornado==6.0.4
tqdm==4.60.0
traitlets==4.3.3
tslearn==0.4.1
typed-ast==1.4.1
typing-extensions==3.10.0.0
urllib3==1.25.9
wcwidth==0.2.5
webencodings==0.5.1
Werkzeug==2.0.0
wrapt==1.12.1
zipp==1.2.0

[oniisancr]

Thank you EnnaSachdeva and dinesh-k-natarajan!
Finally, I fix this issue! !

[mrayur]

Thank you EnnaSachdeva and dinesh-k-natarajan! Finally, I fix this issue! !

I built the environment according to the repositories provided by Enna, but it's still a static image:

What is the right result? like a .gif file with all agents running on it? Thanks in advance! any help will be appreciated!

[Yokanisha]

I faced the same issue while using matplotlib 3.2.2.

However, this repository was first published in October 2018. The latest stable version of matplotlib from this time was 3.0.3.

After switching to matplotlib 3.0.3, I was able to visualize the tracks using main.py. No other changes were necessary.

How are you able to visualize the tracks? I just get a picture from PyCharm.

[Yokanisha]

Thank you EnnaSachdeva and dinesh-k-natarajan! Finally, I fix this issue! !

I built the environment according to the repositories provided by Enna, but it's still a static image:

What is the right result? like a .gif file with all agents running on it? Thanks in advance! any help will be appreciated!
Have you already figured out?

[oniisancr]

Thank you EnnaSachdeva and dinesh-k-natarajan! Finally, I fix this issue! !

I built the environment according to the repositories provided by Enna, but it's still a static image:

What is the right result? like a .gif file with all agents running on it? Thanks in advance! any help will be appreciated!
Have you already figured out?

click the next button, the frame will update to a next frame. Not a gif file。

[elhamaahmadi]

Hello, please help me
I run main.py in spyder, but I facing with this error

ValueError: Image size of 2078626x14530 pixels is too large. It must be less than 2^16 in each direction.

How can I bebug this error and run code?

[sharan1608]

I faced the same issue while using matplotlib 3.2.2.

However, this repository was first published in October 2018. The latest stable version of matplotlib from this time was 3.0.3.

After switching to matplotlib 3.0.3, I was able to visualize the tracks using main.py. No other changes were necessary.

please make sure to input the correct format of the background image

default is .jpg but the given data contains .png images

this will help to plot the vehicles to correct lanes and avoid sidelining of the vehicle trajectories that takes it out of scope of the plot

also make this change in visualize_frame.py at
# Plot the image

under

# Check whether to use the given background image or to use the virtual created lanes
from:
self.background_image = scipy.ndimage.imread(background_image_path)
to:
self.background_image = plt.imread(background_image_path)

[yuzicsu]

Creating a new virtual env with the python vesion：3.7.2 and the following packages worked for me.
cycler==0.11.0
kiwisolver==1.4.5
matplotlib==3.0.3
numpy==1.21.6
pandas==1.3.5
pyparsing==3.1.1
python-dateutil==2.8.2
pytz==2023.3.post1
scipy==1.7.3
six==1.16.0
typing-extensions==4.7.1

[songzhenghao]

So do I! 我也是 I faced the same issue while using matplotlib 3.3.4. 我在使用matplotlib 3.3.4时遇到了同样的问题。 How to solve this? 如何解决这个问题？

Hello, have you solved your problem

[yuzicsu]

So do I! 我也是 I faced the same issue while using matplotlib 3.3.4. 我在使用matplotlib 3.3.4时遇到了同样的问题。 How to solve this? 如何解决这个问题？

Hello, have you solved your problem

matplotlib的版本问题。python使用3.7版本，matplotlib使用3.0.3版本

[Yokanisha]

In pycharm I just got a picture but in VSCode in worked.