From 75c39f57507ed81f33571271b939de400a69adf0 Mon Sep 17 00:00:00 2001 From: Alexey <AlexeyAB@users.noreply.github.com> Date: Thu, 07 Dec 2017 17:49:47 +0000 Subject: [PATCH] Update Readme.md --- README.md | 25 ++++++++++++++++++++++++- 1 files changed, 24 insertions(+), 1 deletions(-) diff --git a/README.md b/README.md index 0ee4c05..8690ea6 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,8 @@ 6. [When should I stop training](#when-should-i-stop-training) 7. [How to improve object detection](#how-to-improve-object-detection) 8. [How to mark bounded boxes of objects and create annotation files](#how-to-mark-bounded-boxes-of-objects-and-create-annotation-files) -9. [How to use Yolo as DLL](#how-to-use-yolo-as-dll) +9. [Using Yolo9000](#using-yolo9000) +10. [How to use Yolo as DLL](#how-to-use-yolo-as-dll) |  |  https://arxiv.org/abs/1612.08242 | |---|---| @@ -354,6 +355,28 @@ With example of: `train.txt`, `obj.names`, `obj.data`, `yolo-obj.cfg`, `air`1-6`.txt`, `bird`1-4`.txt` for 2 classes of objects (air, bird) and `train_obj.cmd` with example how to train this image-set with Yolo v2 +## Using Yolo9000 + + Simultaneous detection and classification of 9000 objects: + +* `yolo9000.weights` - (186 MB Yolo9000 Model) requires 4 GB GPU-RAM: http://pjreddie.com/media/files/yolo9000.weights + +* `yolo9000.cfg` - cfg-file of the Yolo9000, also there are paths to the `9k.tree` and `coco9k.map` https://github.com/AlexeyAB/darknet/blob/617cf313ccb1fe005db3f7d88dec04a04bd97cc2/cfg/yolo9000.cfg#L217-L218 + + * `9k.tree` - **WordTree** of 9418 categories - `<label> <parent_it>`, if `parent_id == -1` then this label hasn't parent: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/9k.tree + + * `coco9k.map` - map 80 categories from MSCOCO to WordTree `9k.tree`: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/coco9k.map + +* `combine9k.data` - data file, there are paths to: `9k.labels`, `9k.names`, `inet9k.map`, (change path to your `combine9k.train.list`): https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/combine9k.data + + * `9k.labels` - 9418 labels of objects: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/9k.labels + + * `9k.names` - +9418 names of objects: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/9k.names + + * `inet9k.map` - map 200 categories from ImageNet to WordTree `9k.tree`: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/inet9k.map + + ## How to use Yolo as DLL 1. To compile Yolo as C++ DLL-file `yolo_cpp_dll.dll` - open in MSVS2015 file `build\darknet\yolo_cpp_dll.sln`, set **x64** and **Release**, and do the: Build -> Build yolo_cpp_dll -- Gitblit v1.10.0