You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository was archived by the owner on Nov 19, 2024. It is now read-only.
Copy file name to clipboardExpand all lines: README.md
+1-5Lines changed: 1 addition & 5 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -29,7 +29,7 @@ Better to find a model description [here](https://github.com/opencv/open_model_z
29
29
## Description
30
30
31
31
32
-
### Why
32
+
### Why
33
33
34
34
I needed an ability to fast deploy a small package that able to run models from [Intel's model zoo](https://github.com/openvinotoolkit/open_model_zoo) and use [Movidius NCS](https://software.intel.com/en-us/neural-compute-stick).
35
35
Well-known [opencv-python](https://github.com/skvark/opencv-python) can't do this.
@@ -71,9 +71,6 @@ For additional info read `cv2.getBuildInformation()` output.
71
71
72
72
`YYYY.MM.DD`, because it is the most simple way to track opencv/openvino versions.
73
73
74
-
The newer the better.
75
-
76
-
77
74
## Compiling from source
78
75
79
76
You will need ~7GB RAM and ~10GB disk space
@@ -195,7 +192,6 @@ Our opensource MKL-DNN experiment will end with 125MB `libmklml_gnu.so` and infe
195
192
196
193
I did not try it. But it cannot be universal, it will only work with the certain combination of GPU+CUDA+cuDNN for which it will be compiled for.
197
194
198
-
199
195
+[Compile OpenCV’s ‘dnn’ module with NVIDIA GPU support](https://www.pyimagesearch.com/2020/02/10/opencv-dnn-with-nvidia-gpus-1549-faster-yolo-ssd-and-mask-r-cnn/)
200
196
+[Use OpenCV’s ‘dnn’ module with NVIDIA GPUs, CUDA, and cuDNN](https://www.pyimagesearch.com/2020/02/03/how-to-use-opencvs-dnn-module-with-nvidia-gpus-cuda-and-cudnn/)
0 commit comments