@@ -93,7 +93,7 @@ See [demo.ipynb](https://github.com/chenyuntc/simple-faster-rcnn-pytorch/blob/ma
2. Extract all of these tars into one directory named `VOCdevkit`
```
```Bash
tar xvf VOCtrainval_06-Nov-2007.tar
tar xvf VOCtest_06-Nov-2007.tar
tar xvf VOCdevkit_08-Jun-2007.tar
...
...
@@ -101,7 +101,7 @@ See [demo.ipynb](https://github.com/chenyuntc/simple-faster-rcnn-pytorch/blob/ma
3. It should have this basic structure
```
```Bash
$VOCdevkit/ # development kit
$VOCdevkit/VOCcode/ # VOC utility code
$VOCdevkit/VOC2007 # image sets, annotations, etc.
...
...
@@ -118,7 +118,7 @@ TBD
If you want to use caffe-pretrain model as initial weight, you can run below to get vgg16 weights converted from caffe, which is the same as the origin paper use.
````
````Bash
python misc/convert_caffe_pretrain.py
````
...
...
@@ -156,7 +156,7 @@ Some Key arguments:
you may open browser, type:`http://<ip>:8097` and see the visualization of training procedure as below: