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Update README.md, fix readme, VOC2012 is in VOCdevkit #306

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Update README.md, fix readme, VOC2012 is in VOCdevkit #306

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13 changes: 9 additions & 4 deletions README.md
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Expand Up @@ -4,15 +4,15 @@

## part 1. Introduction [[代码剖析]](https://github.com/YunYang1994/CodeFun/blob/master/002-deep_learning/YOLOv3.md)

Implementation of YOLO v3 object detector in Tensorflow. The full details are in [this paper](https://pjreddie.com/media/files/papers/YOLOv3.pdf). In this project we cover several segments as follows:<br>
Implementation of YOLO v3 object detector in Tensorflow. The full details are in [this paper](https://pjreddie.com/media/files/papers/YOLOv3.pdf). In this project we cover several segments（部分） as follows:<br>
- [x] [YOLO v3 architecture](https://github.com/YunYang1994/tensorflow-yolov3/blob/master/core/yolov3.py)
- [x] [Training tensorflow-yolov3 with GIOU loss function](https://giou.stanford.edu/)
- [x] Basic working demo
- [x] Training pipeline
- [x] Multi-scale training method
- [x] Compute VOC mAP

YOLO paper is quick hard to understand, along side that paper. This repo enables you to have a quick understanding of YOLO Algorithmn.
YOLO paper is quite hard to understand, along side that paper. This repo enables you to have a quick understanding of YOLO Algorithmn.


## part 2. Quick start
Expand Down Expand Up @@ -80,8 +80,8 @@ VOC # path: /home/yang/test/VOC/
| └──VOC2007 (from VOCtest_06-Nov-2007.tar)
└── train
└──VOCdevkit
└──VOC2007 (from VOCtrainval_06-Nov-2007.tar)
└──VOC2012 (from VOCtrainval_11-May-2012.tar)
├──VOC2007 (from VOCtrainval_06-Nov-2007.tar)
└──VOC2012 (from VOCtrainval_11-May-2012.tar)

$ python scripts/voc_annotation.py --data_path /home/yang/test/VOC
```
Expand Down Expand Up @@ -112,6 +112,11 @@ $ python train.py
```

#### how to test and evaluate it ?
edit your `./core/config.py` to make some necessary configurations, the weight file path is the one that you want to test from what we generated in the previous step.
```bashrc
__C.TEST.WEIGHT_FILE = "./checkpoint/yolov3_test_loss=9.2099.ckpt-5"
```

```
$ python evaluate.py
$ cd mAP
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