[dist] Bump minimum PTX to 7.5 to control build times

We can consider creating two distributions as well.

Author: Breakthrough

.claude/settings.local.json

@@ -5,7 +5,8 @@
   "permissions": {
     "allow": [
       "Bash(gh run view:*)",
-      "Bash(gh workflow:*)"
+      "Bash(gh workflow:*)",
+      "Bash(unzip:*)"
     ]
   }
 }

.github/workflows/build_wheels_windows.yml

@@ -43,6 +43,8 @@ jobs:
         cuda-version: ['12']
         include:
           # CUDA 12: Supports Maxwell (5.0) through Blackwell (10.0)
+          # TODO(@Breakthrough): Expand PTX legacy support back to 5.0, it doesn't make the final
+          # distribution that much larger and may help users with older GPUs.
           - cuda-version: '12'
             runs-on: 'windows-2025'
             cuda-installer: 'cuda_12.9.1_windows_network.exe'
@@ -51,7 +53,7 @@ jobs:
             cudnn-folder: 'cudnn-windows-x86_64-9.18.1.3_cuda12-archive'
             video-codec-sdk-archive: 'Video_Codec_SDK_13.0.37.zip'
             video-codec-sdk-folder: 'Video_Codec_SDK_13.0.37'
-            cuda-arch-bin: '5.0;5.2;6.0;6.1;7.0;7.5;8.0;8.6;8.9;9.0;10.0'
+            cuda-arch-bin: '7.5;8.0;8.6;8.9;9.0;10.0'
             cuda-arch-ptx: '10.0'
             cache-key: 'nvidia-deps-cuda-12.9.1-cudnn-9.18.1.3'
           # TODO: Re-enable CUDA 13 after updating to OpenCV 4.13+
@@ -137,7 +139,7 @@ jobs:
         $CUDNN_PATH = "D:/a/opencv-python-cuda/opencv-python-cuda/${{ matrix.cudnn-folder }}"
         echo "CUDNN_LIBRARY=$CUDNN_PATH/lib/x64/cudnn.lib" | Out-File -FilePath $env:GITHUB_ENV -Append
         echo "CUDNN_INCLUDE_DIR=$CUDNN_PATH/include" | Out-File -FilePath $env:GITHUB_ENV -Append
-        Copy-Item -Path "$CUDNN_PATH/bin/*" -Destination .  -Include "*.dll"
+        Copy-Item -Path "$CUDNN_PATH/bin/x64/*" -Destination .  -Include "*.dll"
       shell: pwsh
     - name: 🔧 Install NVIDIA Video Codec SDK
       run: |

README.md

@@ -4,7 +4,7 @@ Download: [Latest Release (4.12.0-dev0)](https://github.com/Breakthrough/opencv-
 
 ## What is `opencv-python-cuda`?
 
-Pre-built NVIDIA® CUDA™ enabled OpenCV packages for Python that come with all batteries included. This is a fork of [the official opencv-python project](https://github.com/opencv/opencv-python). Right now packages are only produced for Windows x64, and devices must be Maxwell class (GeForce 900 series) or newer.  Once installed via `pip` (or another Python package manager like `uv`), the following should *just work*:
+Pre-built NVIDIA® CUDA™ enabled OpenCV packages for Python that come with all batteries included. This is a fork of [the official opencv-python project](https://github.com/opencv/opencv-python). Right now packages are only produced for Windows x64, and devices must be Turing class (GeForce 2000 series) or newer.  Once installed via `pip` (or another Python package manager like `uv`), the following should *just work*:
 
 ```
 import cv2