Home Backend Development Python Tutorial Why Am I Getting \'ImportError: DLL Load Failed\' When Using OpenCV on Windows?

Why Am I Getting \'ImportError: DLL Load Failed\' When Using OpenCV on Windows?

Nov 01, 2024 am 04:31 AM

Why Am I Getting

Troubleshooting "ImportError: DLL Load Failed" in OpenCV

Encountering the error "ImportError: DLL load failed: %1 is not a valid Win32 application" despite having the necessary DLLs can be frustrating. Here's a comprehensive guide to resolving this issue:

1. Check DLL Compatibility

Ensure that the installed OpenCV DLLs match the bitness of your Python installation (32-bit or 64-bit). As you mentioned, cv2.pyd appears to be 32-bit, whereas your system and Python are 64-bit. This mismatch can cause the "DLL load failed" error.

2. Download 64-bit OpenCV Binaries

To obtain 64-bit OpenCV binaries, you can visit the "Unofficial Windows Binaries for Python Extension Packages" website as suggested in the provided answer. Select the appropriate OpenCV version and download it.

3. Verify PATH and PYTHONPATH

Ensure that your PATH environment variable includes the path to the 64-bit OpenCV binaries folder (e.g., C:libopencvbuildx64vc11bin). Additionally, the PYTHONPATH variable should point to the directory containing cv2.pyd (e.g., C:libopencvbuildpython2.7).

4. Restart Python

After updating your PATH and PYTHONPATH variables, restart Python to ensure the changes take effect.

5. Enable Verbose Loading (Optional)

To trace the DLL loading process verbosely, add the following line to your Python script before importing cv2:

<code class="python">import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '0'</code>
Copy after login

This should log any DLL loading attempts and provide more insight into the issue.

6. Check for Additional Dependencies

Depending on the OpenCV version, you may need to install additional dependencies such as Microsoft Visual C Redistributables. Refer to the OpenCV documentation for specific requirements.

7. Reinstall OpenCV

If all else fails, try uninstalling and reinstalling OpenCV completely. Ensure that the installation is compatible with your system and Python version.

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