mirror of
https://github.com/opencv/opencv.git
synced 2026-07-30 15:53:03 +04:00
docs: fix build without opencv_contrib (avoid links to CUDA modules)
This commit is contained in:
@@ -1,3 +1,4 @@
|
||||
@cond CUDA_MODULES
|
||||
Similarity check (PNSR and SSIM) on the GPU {#tutorial_gpu_basics_similarity}
|
||||
===========================================
|
||||
@todo update this tutorial
|
||||
@@ -204,3 +205,4 @@ It may be just the improvement needed for your application to work. You may obse
|
||||
instance of this on the [YouTube here](https://www.youtube.com/watch?v=3_ESXmFlnvY).
|
||||
|
||||
@youtube{3_ESXmFlnvY}
|
||||
@endcond
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
@cond CUDA_MODULES
|
||||
Using a cv::cuda::GpuMat with thrust {#tutorial_gpu_thrust_interop}
|
||||
===========================================
|
||||
|
||||
@@ -68,3 +69,4 @@ Next we will determine how many values are greater than 0 by using thrust::count
|
||||
|
||||
We will use those results to create an output buffer for storing the copied values, we will then use copy_if with the same predicate to populate the output buffer.
|
||||
Lastly we will download the values into a CPU mat for viewing.
|
||||
@endcond
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
@cond CUDA_MODULES
|
||||
GPU-Accelerated Computer Vision (cuda module) {#tutorial_table_of_content_gpu}
|
||||
=============================================
|
||||
|
||||
@@ -20,3 +21,4 @@ run the OpenCV algorithms.
|
||||
|
||||
This tutorial will show you how to wrap a GpuMat into a thrust iterator in order to be able to
|
||||
use the functions in the thrust library.
|
||||
@endcond
|
||||
|
||||
@@ -236,7 +236,10 @@ for(;;){
|
||||
|
||||
CUDA {#tutorial_transition_hints_cuda}
|
||||
----
|
||||
_cuda_ module has been split into several smaller pieces:
|
||||
|
||||
CUDA modules has been moved into opencv_contrib repository.
|
||||
|
||||
@cond CUDA_MODULES
|
||||
- _cuda_ - @ref cuda
|
||||
- _cudaarithm_ - @ref cudaarithm
|
||||
- _cudabgsegm_ - @ref cudabgsegm
|
||||
@@ -249,10 +252,7 @@ _cuda_ module has been split into several smaller pieces:
|
||||
- _cudastereo_ - @ref cudastereo
|
||||
- _cudawarping_ - @ref cudawarping
|
||||
- _cudev_ - @ref cudev
|
||||
|
||||
`gpu` namespace has been removed, use cv::cuda namespace instead. Many classes has also been renamed, for example:
|
||||
- `gpu::FAST_GPU` -> cv::cuda::FastFeatureDetector
|
||||
- `gpu::createBoxFilter_GPU` -> cv::cuda::createBoxFilter
|
||||
@endcond
|
||||
|
||||
Documentation format {#tutorial_transition_docs}
|
||||
--------------------
|
||||
|
||||
@@ -76,11 +76,13 @@ As always, we would be happy to hear your comments and receive your contribution
|
||||
|
||||
Learn how to create beautiful photo panoramas and more with OpenCV stitching pipeline.
|
||||
|
||||
@cond CUDA_MODULES
|
||||
- @subpage tutorial_table_of_content_gpu
|
||||
|
||||
Squeeze out every
|
||||
little computational power from your system by utilizing the power of your video card to run the
|
||||
OpenCV algorithms.
|
||||
@endcond
|
||||
|
||||
- @subpage tutorial_table_of_content_ios
|
||||
|
||||
|
||||
Reference in New Issue
Block a user