Compatibility issue when running base model on images

[Diego-asutralgis]

The code runs well when ussing Deepforest 1.1, when uprgading to 1.3.3 ussing a virtual enviroment it starts returning a compatibility problem, the torch and torchvision versions are compatible acording to the official webpage

**Environment

• OS: windows 10
• Python version and environment : 3.11.9 conda VE with DeepForest 1.3.3

Screenshots and Context

Cell In[1], [line 24](vscode-notebook-cell:?execution_count=1&line=24)
     [21](vscode-notebook-cell:?execution_count=1&line=21) model.use_release()
     [23](vscode-notebook-cell:?execution_count=1&line=23) sample_image_path = r"C:\Users\zer0a\OneDrive\Escritorio\Test/Prueba3.png"
---> [24](vscode-notebook-cell:?execution_count=1&line=24) img = model.predict_image(path=sample_image_path, return_plot=True)
     [26](vscode-notebook-cell:?execution_count=1&line=26) #predict_image returns plot in BlueGreenRed (opencv style), but matplotlib likes RedGreenBlue, switch the channel order. Many functions in deepforest will automatically perform this flip for you and give a warning.
     [27](vscode-notebook-cell:?execution_count=1&line=27) plt.imshow(img[:,:,::-1])

File c:\Users\zer0a\miniconda3\envs\DiegoTest\Lib\site-packages\deepforest\main.py:347, in deepforest.predict_image(self, image, path, return_plot, color, thickness)
    [344](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/deepforest/main.py:344) image = torch.tensor(image, device=self.device).permute(2, 0, 1)
    [345](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/deepforest/main.py:345) image = image / 255
--> [347](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/deepforest/main.py:347) result = predict._predict_image_(model=self.model,
    [348](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/deepforest/main.py:348)                                  image=image,
    [349](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/deepforest/main.py:349)                                  path=path,
    [350](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/deepforest/main.py:350)                                  nms_thresh=self.config["nms_thresh"],
    [351](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/deepforest/main.py:351)                                  return_plot=return_plot,
    [352](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/deepforest/main.py:352)                                  thickness=thickness,
    [353](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/deepforest/main.py:353)                                  color=color)
    [355](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/deepforest/main.py:355) if return_plot:
    [356](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/deepforest/main.py:356)     return result

File c:\Users\zer0a\miniconda3\envs\DiegoTest\Lib\site-packages\deepforest\predict.py:38, in _predict_image_(model, image, path, nms_thresh, return_plot, thickness, color)
     [23](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/deepforest/predict.py:23) """Predict a single image with a deepforest model
     [24](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/deepforest/predict.py:24)         
...
     [54](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/torchvision/extension.py:54)             "version with torchvision.__version__ and verify if they are compatible, and if not "
     [55](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/torchvision/extension.py:55)             "please reinstall torchvision so that it matches your PyTorch install."
     [56](file:///C:/Users/zer0a/miniconda3/envs/DiegoTest/Lib/site-packages/torchvision/extension.py:56)         )

RuntimeError: Couldn't load custom C++ ops. This can happen if your PyTorch and torchvision versions are incompatible, or if you had errors while compiling torchvision from source. For further information on the compatible versions, check https://github.com/pytorch/vision#installation for the compatibility matrix. Please check your PyTorch version with torch.__version__ and your torchvision version with torchvision.__version__ and verify if they are compatible, and if not please reinstall torchvision so that it matches your PyTorch install.

User Story

“As a student Im working on a school project”

[bw4sz]

This issue is upstream of deepforest. Can you make a new env and reinstall?

[Diego-asutralgis]

I already did, maybe its an issue with the versions of pytorch and torchvision, now the error runs in the IoU call from DeepForest main.py, it asks for version 0.8 or newer, wich i have

[bw4sz]

You'll need to show full and reproducible logs for me to help, to much to guess at.

[Diego-asutralgis]

Created a VE with python 3.11.9

conda install pytorch torchvision -c pytorch
conda install deepforest=1.3.3 -c conda-forge (this was done beacuse if not specified it would install DeepForest 1.1.3)

Run the "Getting started demo" from the readthedocs DeepForest page, after I run the code I get the compatibility error previously mentioned

snipet of the code:

import deepforest
from deepforest import main
from deepforest import get_data
import matplotlib.pyplot as plt

model = main.deepforest()
model.use_release()

sample_image_path = r"C:\Users\zer0a\OneDrive\Escritorio\DiegoTrees\TIF\Prueba3.png"
img = model.predict_image(path=sample_image_path, return_plot=True)
plt.imshow(img[:,:,::-1])

RuntimeError: Couldn't load custom C++ ops. This can happen if your PyTorch and torchvision versions are incompatible, or if you had errors while compiling torchvision from source. For further information on the compatible versions, check https://github.com/pytorch/vision#installation for the compatibility matrix. Please check your PyTorch version with torch.version and your torchvision version with torchvision.version and verify if they are compatible, and if not please reinstall torchvision so that it matches your PyTorch install.
Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings...

[bw4sz]

Start with pip install DeepForest and let's see. Conda installs are getting weaker and weaker, hard to mantain. (@henrykironde)

[bw4sz]

@henrykironde I start to wonder whether we should drop conda support. Its just not worth it? @ethanwhite.

[Diego-asutralgis]

Hi, I tried using a pip install, but it keeps outputing errors once I run the code, this time with lightning, after running the same code shown before I get
OSError: [WinError 126] No se puede encontrar el módulo especificado. Error loading "C:\Users\zer0a\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\torch\lib\shm.dll" or one of its dependencies.

[bw4sz]

please run and paste entire output.

conda create python=3.10 --name DeepForest_env
conda activate DeepForest_env
pip install deepforest

[Diego-asutralgis]

Here it is!:
PS C:\Users\zer0a> conda create python=3.10 --name DeepForest_env
Retrieving notices: ...working... done
Channels:

• soumith
• conda-forge
• defaults
  Platform: win-64
  Collecting package metadata (repodata.json): done
  Solving environment: done

Package Plan

environment location: A:\Anaconda\envs\DeepForest_env

added / updated specs:
- python=3.10

The following packages will be downloaded:

package                    |            build
---------------------------|-----------------
openssl-3.3.1              |       h2466b09_1         8.0 MB  conda-forge
python-3.10.14             |h4de0772_0_cpython        15.1 MB  conda-forge
------------------------------------------------------------
                                       Total:        23.1 MB

The following NEW packages will be INSTALLED:

bzip2 conda-forge/win-64::bzip2-1.0.8-hcfcfb64_5
ca-certificates conda-forge/win-64::ca-certificates-2024.6.2-h56e8100_0
libffi conda-forge/win-64::libffi-3.4.2-h8ffe710_5
libsqlite conda-forge/win-64::libsqlite-3.46.0-h2466b09_0
libzlib conda-forge/win-64::libzlib-1.3.1-h2466b09_1
openssl conda-forge/win-64::openssl-3.3.1-h2466b09_1
pip conda-forge/noarch::pip-24.0-pyhd8ed1ab_0
python conda-forge/win-64::python-3.10.14-h4de0772_0_cpython
setuptools conda-forge/noarch::setuptools-70.1.1-pyhd8ed1ab_0
tk conda-forge/win-64::tk-8.6.13-h5226925_1
tzdata conda-forge/noarch::tzdata-2024a-h0c530f3_0
ucrt conda-forge/win-64::ucrt-10.0.22621.0-h57928b3_0
vc conda-forge/win-64::vc-14.3-h8a93ad2_20
vc14_runtime conda-forge/win-64::vc14_runtime-14.40.33810-ha82c5b3_20
vs2015_runtime conda-forge/win-64::vs2015_runtime-14.40.33810-h3bf8584_20
wheel conda-forge/noarch::wheel-0.43.0-pyhd8ed1ab_1
xz conda-forge/win-64::xz-5.2.6-h8d14728_0

Proceed ([y]/n)? y

Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

To activate this environment, use

To deactivate an active environment, use

$ conda deactivate

PS C:\Users\zer0a> conda activate DeepForest_env
PS C:\Users\zer0a> pip install deepforest
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after running that installation and then running the test code on the VE it can`t recognize any of the libraries that where installed by deepforest installation.

ModuleNotFoundError Traceback (most recent call last)
Cell In[5], line 1
----> 1 import matplotlib.pyplot as plt
2 import pandas as pd
3 import numpy as np

ModuleNotFoundError: No module named 'matplotlib'

[bw4sz]

Thanks, but don't skip steps, its going to be something really subtle, so you need to show everything. Show me

which python

and the terminal state right before you invoke python. I am guessing its looking at a python version that supercedes what you just installed. The module traceback should also give you a path, which i'm guess is not in the DeepForest_env conda directory. The fact that you are getting 'no module named matplotlib' is good news is the sense that unless all of python ecosystem has suddenly crashed (-> world ending) this is very unlikely to be a bug and much more something specific to your system setup.

[henrykironde]

There is something wrong with your setup. Please revisit how to manage / setup conda or python environments.

The environment location use is: A:\Anaconda\envs\DeepForest_env
however you are installing the packages outside the environment to the base environment

Requirement already satisfied: sphinxcontrib-qthelp in a:\anaconda\lib\site-packages (from sphinx->deepforest) (1.0.3)
Requirement already satisfied: Pygments>=2.0 in a:\anaconda\lib\site-packages (from sphinx->deepforest) (2.15.1)

[ethanwhite]

Closing this due to lack of response. @Diego-asutralgis - feel free to open a new discussion if you are still having issues with your conda install and hopefully someone will have time to help.