Search results
-
Blue Iris and CodeProject.AI ALPR
It looks like the module did not install correctly. Try uninstalling the module then reinstall using Do not use download cache -
Blue Iris and CodeProject.AI ALPR
The ALPR module uses the license-plate model first to find the license plates in the images sent. If the module does not find any license plates it returns nothing found. If it finds a license plate then it crops the plate and runs OCR on the cropped plate and send the OCR results. -
-
CodeProject.AI Version 2.5
Below are the versions and test script (ChatGPT wrote the script) Pillow 9.4.0 opencv-python 4.8.1.78 import time import cv2 from PIL import Image def resize_pil(image, output_width): width_percent = (output_width / float(image.width))... -
CodeProject.AI Version 2.5
@mailseth OpenCV is faster then PIL below is a comparison resizing 100 4K image to 640 width PIL resizing time: 0.19400310516357422 seconds OpenCV resizing time: 0.010996818542480469 seconds -
Blue Iris and CodeProject.AI ALPR
I have seen this before, I do not remember what the cause was. It might be the cuDNN version not matching the CUDA version -
Blue Iris and CodeProject.AI ALPR
See the below link, this might fix the issue https://stackoverflow.com/questions/43184887/dll-load-failed-error-when-importing-cv2#:~:text=Add%20a%20comment-,28,Recently%20I%20have,-faced%20the%20similar -
CodeProject.AI Version 2.5
Your GPU is Compute 5.2, the ALPR module currently only supports Compute 6 and greater. -
Need Your Help to Decide between T54IR-ZE and Color4K-T and How to Install It
I just realized that to old camera was a IPC-T5442T-ZE not the T54IR-ZE -
Need Your Help to Decide between T54IR-ZE and Color4K-T and How to Install It
Below are images from IPC-T5442T-ZE and Color4K-T after replacing the the IPC-T5442T-ZE with a Color4K-T. IPC-T5442T-ZE Exposure set to 1/60 Color4K-T Exposure set to 1/120 -
CodeProject.AI Version 2.5
Check your firewall if it is blocking the module from downloading and installing. -
-
-
CodeProject.AI Version 2.5
If you want to get some more performance from your Nvidia GPU change the below setting to Prefer maximum performance -
-
YOLO5 vs YOLO5.NET
I recommend using just YOLO5.NET, this module will use your iGPU -
Why do Amazon delivery drivers lie?
Does this look like he handed me the package and I signed something.- MikeLud1
- Thread
- Replies: 23
- Forum: Camera Captures
-
-
Blue Iris and CodeProject.AI ALPR
It looks like you have paths set for multiply versions of cuDDN. Delete the below path, after deleting the paths reboot the PC so the paths are updated. Link to How to set the path and environment variables in Windows How to Set the Path and Environment Variables in Windows C:\Program... -
Blue Iris and CodeProject.AI ALPR
open a command prompt and run set then post the results. This will list all you environment variables. -
CodeProject.AI Version 2.5
I am just wondering if it is a Windows 11capaitablity issue. I am still on Windows 10 and have similar GPUs that are working -
Blue Iris and CodeProject.AI ALPR
It should not, but to be sure maybe try uninstall, delete the folders, then reinstall with the default directory. -
Blue Iris and CodeProject.AI ALPR
I notes that the below path is not the default path, it should be just AI. When installing code project did you change the install path? -
Blue Iris and CodeProject.AI ALPR
You can try running install_cuDNN.bat to update cuDNN. After running install_cuDNN.bat reboot your PC. -
CodeProject.AI Version 2.5
You are not missing anything by running the .NET model. The models for .NET are the 6.2 models converted from a PT model to ONNX model. They are trained using YOLOv5 6.2. -
CodeProject.AI Version 2.5
You are not missing anything by running the .NET model. The models for the .NET are the 6.2 models converted from a PT model to ONNX model. They are trained using YOLOv5 6.2. -
Blue Iris and CodeProject.AI ALPR
What version did you update from and was it working? -
CodeProject.AI Version 2.5
The .NET module works with all GPUs. Depending on your Nvidia GPU .NET might be faster then CUDA https://github.com/microsoft/DirectML