From be9ccb7d7f4135a41910e6401fbe0c604f1a4080 Mon Sep 17 00:00:00 2001 From: AlexeyAB <alexeyab84@gmail.com> Date: Thu, 01 Mar 2018 21:09:52 +0000 Subject: [PATCH] Added F1 score to accuracy statistic --- README.md | 6 ++++-- 1 files changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 7b4e8c8..7e3fd65 100644 --- a/README.md +++ b/README.md @@ -31,7 +31,7 @@ This repository supports: * both Windows and Linux -* both OpenCV 3.x and OpenCV 2.4.13 +* both OpenCV 2.x.x and OpenCV <= 3.4.0 (3.4.1 and higher isn't supported) * both cuDNN v5-v7 * CUDA >= 7.5 * also create SO-library on Linux and DLL-library on Windows @@ -39,7 +39,7 @@ ##### Requires: * **Linux GCC>=4.9 or Windows MS Visual Studio 2015 (v140)**: https://go.microsoft.com/fwlink/?LinkId=532606&clcid=0x409 (or offline [ISO image](https://go.microsoft.com/fwlink/?LinkId=615448&clcid=0x409)) * **CUDA 9.1**: https://developer.nvidia.com/cuda-downloads -* **OpenCV 3.x**: https://sourceforge.net/projects/opencvlibrary/files/opencv-win/3.2.0/opencv-3.2.0-vc14.exe/download +* **OpenCV 3.4.0**: https://sourceforge.net/projects/opencvlibrary/files/opencv-win/3.4.0/opencv-3.4.0-vc14_vc15.exe/download * **or OpenCV 2.4.13**: https://sourceforge.net/projects/opencvlibrary/files/opencv-win/2.4.13/opencv-2.4.13.2-vc14.exe/download - OpenCV allows to show image or video detection in the window and store result to file that specified in command line `-out_filename res.avi` * **GPU with CC >= 2.0** if you use CUDA, or **GPU CC >= 3.0** if you use cuDNN + CUDA: https://en.wikipedia.org/wiki/CUDA#GPUs_supported @@ -372,6 +372,8 @@ * desirable that your training dataset include images with objects at diffrent: scales, rotations, lightings, from different sides + * desirable that your training dataset include images with objects (without labels) that you do not want to detect - negative samples + * for training on small objects, add the parameter `small_object=1` in the last layer [region] in your cfg-file * for training with a large number of objects in each image, add the parameter `max=200` or higher value in the last layer [region] in your cfg-file -- Gitblit v1.10.0