From 892137f3aa2c29d8a262b5e54aa1099da470a6cc Mon Sep 17 00:00:00 2001 From: AlexeyAB <alexeyab84@gmail.com> Date: Mon, 16 Apr 2018 14:52:03 +0000 Subject: [PATCH] Added CUDNN_HALF to the Makefile --- README.md | 8 ++++++-- 1 files changed, 6 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index fa2809b..926bcde 100644 --- a/README.md +++ b/README.md @@ -227,7 +227,9 @@ https://groups.google.com/d/msg/darknet/NbJqonJBTSY/Te5PfIpuCAAJ ## How to train (to detect your custom objects): -Training Yolo v3 +(to train old Yolo v2 `yolov2-voc.cfg`, `yolov2-tiny-voc.cfg`, `yolo-voc.cfg`, `yolo-voc.2.0.cfg`, ... [click by the link](https://github.com/AlexeyAB/darknet/tree/47c7af1cea5bbdedf1184963355e6418cb8b1b4f#how-to-train-pascal-voc-data)) + +Training Yolo v3: 1. Create file `yolo-obj.cfg` with the same content as in `yolov3.cfg` (or copy `yolov3.cfg` to `yolo-obj.cfg)` and: @@ -307,7 +309,9 @@ 9. After training is complete - get result `yolo-obj_final.weights` from path `build\darknet\x64\backup\` - * After each 1000 iterations you can stop and later start training from this point. For example, after 2000 iterations you can stop training, and later just copy `yolo-obj_2000.weights` from `build\darknet\x64\backup\` to `build\darknet\x64\` and start training using: `darknet.exe detector train data/obj.data yolo-obj.cfg yolo-obj_2000.weights` + * After each 100 iterations you can stop and later start training from this point. For example, after 2000 iterations you can stop training, and later just copy `yolo-obj_2000.weights` from `build\darknet\x64\backup\` to `build\darknet\x64\` and start training using: `darknet.exe detector train data/obj.data yolo-obj.cfg yolo-obj_2000.weights` + + (in the original repository https://github.com/pjreddie/darknet the weights-file is saved only once every 10 000 iterations `if(iterations > 1000)`) * Also you can get result earlier than all 45000 iterations. -- Gitblit v1.10.0