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