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updating readme
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charlesxwang committed Sep 27, 2019
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Expand Up @@ -26,7 +26,7 @@ sh finetune_inception_v3_on_roof_train.sh
```

The training takes a long time on laptops.
If you don't want to run the training process, we have a CNN trained on TACC and can be downloaded [here](https://berkeley.box.com/shared/static/wfwf4ku9561lcytldy1p7vkjoobgv9sz.zip).
If you don't want to run the training process, we have a CNN trained on TACC and can be downloaded [here](https://berkeley.box.com/shared/static/awyyc22sjwknn9xg3p7wru4v5zwnlkjp.zip).
Put the downloaded file inside src/training/roof/tmp/roof-traindir/ and unzip it.

###### testing
Expand All @@ -36,6 +36,8 @@ Put the downloaded file inside src/training/roof/tmp/roof-traindir/ and unzip it
checkpoint_file = the-path-of-your-checkpoint-file
TEST_DIR = the-path-of-your-testing-images-dir
```
We've prepared some labeld images for you to test. These images can be downloaded [here](https://berkeley.box.com/shared/static/wfwf4ku9561lcytldy1p7vkjoobgv9sz.zip).

Now you can test if the trained CNN works or not:
```
cd src/training/roof/2_train
Expand Down Expand Up @@ -104,4 +106,18 @@ SimCenter will post obtained data here.
Trained CNNs in the format of Tensorflow checkpoint will be posted here.
##### Roof type classifier ->[Download](https://berkeley.box.com/shared/static/awyyc22sjwknn9xg3p7wru4v5zwnlkjp.zip)

---

## How to Cite
You can cite this software as follows:




## Acknowledgement
This material is based upon work supported by the National Science Foundation under Grant No. 1612843.

## Contact
Charles Wang, NHERI SimCenter, UC Berkeley, c_w@berkeley.edu


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