Wrap CUDA OpenCV Code to be called from Python
So, I have an accelerated version of an algorithm coded on OpenCV with CUDA support, and I want to call this function and use the result in Python. At the end it returns a cv::Mat
.
So, my questions are:
- What is the easiest way to wrap my function?
- How do I "catch" the resulting
cv::Mat
and convert it tonp.array
to be employed from Python?
I have already considered Cython, SWIG, and the native interface from Python but none of them are clear to me.
python c++ opencv
add a comment |
So, I have an accelerated version of an algorithm coded on OpenCV with CUDA support, and I want to call this function and use the result in Python. At the end it returns a cv::Mat
.
So, my questions are:
- What is the easiest way to wrap my function?
- How do I "catch" the resulting
cv::Mat
and convert it tonp.array
to be employed from Python?
I have already considered Cython, SWIG, and the native interface from Python but none of them are clear to me.
python c++ opencv
1
Why don't you look at the source code of OpenCV. The the python bindings already contain the relevant code. Also search around, because there are multiple pages and SO questions addressing this topic.
– Dan Mašek
Nov 21 at 0:06
I have already found several topics but none with CUDA references, actually i'm working based on the code from this topic: stackoverflow.com/questions/28502434/…
– toolelucidator
Nov 21 at 9:17
So, just in case that works for someone y found easily and fully compatible with OpenCV 3.4.0 and CUDA 9.0 using Boost. Hope can work for someone, i'm going to upload a working version to github as soon as possible. Thanks a lot for your help
– toolelucidator
Nov 21 at 15:54
add a comment |
So, I have an accelerated version of an algorithm coded on OpenCV with CUDA support, and I want to call this function and use the result in Python. At the end it returns a cv::Mat
.
So, my questions are:
- What is the easiest way to wrap my function?
- How do I "catch" the resulting
cv::Mat
and convert it tonp.array
to be employed from Python?
I have already considered Cython, SWIG, and the native interface from Python but none of them are clear to me.
python c++ opencv
So, I have an accelerated version of an algorithm coded on OpenCV with CUDA support, and I want to call this function and use the result in Python. At the end it returns a cv::Mat
.
So, my questions are:
- What is the easiest way to wrap my function?
- How do I "catch" the resulting
cv::Mat
and convert it tonp.array
to be employed from Python?
I have already considered Cython, SWIG, and the native interface from Python but none of them are clear to me.
python c++ opencv
python c++ opencv
edited Nov 21 at 5:06
talonmies
59.1k17128196
59.1k17128196
asked Nov 21 at 0:03
toolelucidator
1
1
1
Why don't you look at the source code of OpenCV. The the python bindings already contain the relevant code. Also search around, because there are multiple pages and SO questions addressing this topic.
– Dan Mašek
Nov 21 at 0:06
I have already found several topics but none with CUDA references, actually i'm working based on the code from this topic: stackoverflow.com/questions/28502434/…
– toolelucidator
Nov 21 at 9:17
So, just in case that works for someone y found easily and fully compatible with OpenCV 3.4.0 and CUDA 9.0 using Boost. Hope can work for someone, i'm going to upload a working version to github as soon as possible. Thanks a lot for your help
– toolelucidator
Nov 21 at 15:54
add a comment |
1
Why don't you look at the source code of OpenCV. The the python bindings already contain the relevant code. Also search around, because there are multiple pages and SO questions addressing this topic.
– Dan Mašek
Nov 21 at 0:06
I have already found several topics but none with CUDA references, actually i'm working based on the code from this topic: stackoverflow.com/questions/28502434/…
– toolelucidator
Nov 21 at 9:17
So, just in case that works for someone y found easily and fully compatible with OpenCV 3.4.0 and CUDA 9.0 using Boost. Hope can work for someone, i'm going to upload a working version to github as soon as possible. Thanks a lot for your help
– toolelucidator
Nov 21 at 15:54
1
1
Why don't you look at the source code of OpenCV. The the python bindings already contain the relevant code. Also search around, because there are multiple pages and SO questions addressing this topic.
– Dan Mašek
Nov 21 at 0:06
Why don't you look at the source code of OpenCV. The the python bindings already contain the relevant code. Also search around, because there are multiple pages and SO questions addressing this topic.
– Dan Mašek
Nov 21 at 0:06
I have already found several topics but none with CUDA references, actually i'm working based on the code from this topic: stackoverflow.com/questions/28502434/…
– toolelucidator
Nov 21 at 9:17
I have already found several topics but none with CUDA references, actually i'm working based on the code from this topic: stackoverflow.com/questions/28502434/…
– toolelucidator
Nov 21 at 9:17
So, just in case that works for someone y found easily and fully compatible with OpenCV 3.4.0 and CUDA 9.0 using Boost. Hope can work for someone, i'm going to upload a working version to github as soon as possible. Thanks a lot for your help
– toolelucidator
Nov 21 at 15:54
So, just in case that works for someone y found easily and fully compatible with OpenCV 3.4.0 and CUDA 9.0 using Boost. Hope can work for someone, i'm going to upload a working version to github as soon as possible. Thanks a lot for your help
– toolelucidator
Nov 21 at 15:54
add a comment |
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1
Why don't you look at the source code of OpenCV. The the python bindings already contain the relevant code. Also search around, because there are multiple pages and SO questions addressing this topic.
– Dan Mašek
Nov 21 at 0:06
I have already found several topics but none with CUDA references, actually i'm working based on the code from this topic: stackoverflow.com/questions/28502434/…
– toolelucidator
Nov 21 at 9:17
So, just in case that works for someone y found easily and fully compatible with OpenCV 3.4.0 and CUDA 9.0 using Boost. Hope can work for someone, i'm going to upload a working version to github as soon as possible. Thanks a lot for your help
– toolelucidator
Nov 21 at 15:54