From c021841a52a7b71224b755bfbf779b05012b59d5 Mon Sep 17 00:00:00 2001 From: Tino Hager <tino.hager@nager.at> Date: Tue, 10 Jul 2018 19:46:14 +0000 Subject: [PATCH] Get gpu count and name --- README.md | 6 ++++-- 1 files changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index a52aafa..b02da01 100644 --- a/README.md +++ b/README.md @@ -128,7 +128,7 @@ * `DEBUG=1` to bould debug version of Yolo * `OPENMP=1` to build with OpenMP support to accelerate Yolo by using multi-core CPU * `LIBSO=1` to build a library `darknet.so` and binary runable file `uselib` that uses this library. Or you can try to run so `LD_LIBRARY_PATH=./:$LD_LIBRARY_PATH ./uselib test.mp4` How to use this SO-library from your own code - you can look at C++ example: https://github.com/AlexeyAB/darknet/blob/master/src/yolo_console_dll.cpp - + or use in such a way: `LD_LIBRARY_PATH=./:$LD_LIBRARY_PATH ./uselib data/coco.names cfg/yolov3.cfg yolov3.weights test.mp4` ### How to compile on Windows: @@ -282,7 +282,7 @@ It will create `.txt`-file for each `.jpg`-image-file - in the same directory and with the same name, but with `.txt`-extension, and put to file: object number and object coordinates on this image, for each object in new line: `<object-class> <x> <y> <width> <height>` Where: - * `<object-class>` - integer number of object from `0` to `(classes-1)` + * `<object-class>` - integer object number from `0` to `(classes-1)` * `<x> <y> <width> <height>` - float values relative to width and height of image, it can be equal from (0.0 to 1.0] * for example: `<x> = <absolute_x> / <image_width>` or `<height> = <absolute_height> / <image_height>` * atention: `<x> <y>` - are center of rectangle (are not top-left corner) @@ -324,6 +324,8 @@ **Note:** After training use such command for detection: `darknet.exe detector test data/obj.data yolo-obj.cfg yolo-obj_8000.weights` + **Note:** if error `Out of memory` occurs then in `.cfg`-file you should increase `subdivisions=16`, 32 or 64: [link](https://github.com/AlexeyAB/darknet/blob/0039fd26786ab5f71d5af725fc18b3f521e7acfd/cfg/yolov3.cfg#L4) + ### How to train tiny-yolo (to detect your custom objects): Do all the same steps as for the full yolo model as described above. With the exception of: -- Gitblit v1.10.0