From 4a91bff8f84b15a18e2e4283d87f68e182362b4d Mon Sep 17 00:00:00 2001 From: Amir Hassan Date: Sun, 5 Mar 2023 19:58:22 +0100 Subject: [PATCH] Update README.md --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index dcbf4dac9..7d231ac4a 100644 --- a/README.md +++ b/README.md @@ -56,9 +56,8 @@ https://user-images.githubusercontent.com/287266/208234553-3669df17-dbea-4166-aa ## pedestrian-demo Pedestrian detection using HOG with a linear SVM and non-maximal suppression. Uses nanovg for rendering (OpenGL), detects using a linear SVM (OpenCV/OpenCL), filters resuls using NMS (CPU). Decodes/encodes on the GPU (VAAPI). -Note: Detection rate is not very impressive and depends highly on the video. -https://user-images.githubusercontent.com/287266/208234590-f76bc0ef-f356-4d8d-a280-aab57a2fbae3.mp4 +https://user-images.githubusercontent.com/287266/222980241-d631f7e5-e7a3-446e-937e-bce34e194bd1.mp4 ## beauty-demo Face beautification using face landmark detection (OpenCV/OpenCL), nanovg (OpenGL) for drawing masks and multi-band (OpenCV/OpenCL) blending to put it all together. Note: There are sometimes little glitches because face landmark detection is not very accurate and has rather few points.