From d6da9e3e357dbbac8dec8886efc3865e61c647a6 Mon Sep 17 00:00:00 2001 From: AlexeyAB <alexeyab84@gmail.com> Date: Fri, 09 Dec 2016 18:37:25 +0000 Subject: [PATCH] Added no-GPU solution file: darknet/darknet_no_gpu.sln --- README.md | 6 +++--- 1 files changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 458ca5a..0c09b98 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,7 @@ * **OpenCV 2.4.9**: https://sourceforge.net/projects/opencvlibrary/files/opencv-win/2.4.9/opencv-2.4.9.exe/download - To compile without OpenCV - remove define OPENCV from: Visual Studio->Project->Properties->C/C++->Preprocessor - To compile with different OpenCV version - change in file yolo.c each string look like **#pragma comment(lib, "opencv_core249.lib")** from 249 to required version. - - With OpenCV will show image or video detection in window + - With OpenCV will show image or video detection in window and store result to: test_dnn_out.avi ##### Pre-trained models for different cfg-files can be downloaded from (smaller -> faster & lower quality): * `yolo.cfg` (256 MB COCO-model) - require 4 GB GPU-RAM: http://pjreddie.com/media/files/yolo.weights @@ -39,8 +39,8 @@ ##### Example of usage in cmd-files from `build\darknet\x64\`: * `darknet_voc.cmd` - initialization with 256 MB VOC-model yolo-voc.weights & yolo-voc.cfg and waiting for entering the name of the image file -* `darknet_demo_voc.cmd` - initialization with 256 MB VOC-model yolo-voc.weights & yolo-voc.cfg and play your video file which you must rename to: test.mp4 -* `darknet_net_cam_voc.cmd` - initialization with 256 MB VOC-model, play video from network video-camera mjpeg-stream (also from you phone) +* `darknet_demo_voc.cmd` - initialization with 256 MB VOC-model yolo-voc.weights & yolo-voc.cfg and play your video file which you must rename to: test.mp4, and store result to: test_dnn_out.avi +* `darknet_net_cam_voc.cmd` - initialization with 256 MB VOC-model, play video from network video-camera mjpeg-stream (also from you phone) and store result to: test_dnn_out.avi ##### How to use on the command line: * 256 MB COCO-model - image: `darknet.exe detector test data/coco.data yolo.cfg yolo.weights -i 0 -thresh 0.2` -- Gitblit v1.10.0