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README.md

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@@ -14,21 +14,21 @@ Some predicted class activation maps:
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* AlexNet-CAM on Places205 (used in the [online demo](http://places.csail.mit.edu/demo.html)):```models/deploy_alexnetplusCAM_places205.prototxt``` weights:[http://cnnlocalization.csail.mit.edu/demoCAM/models/alexnetplusCAM_places205.caffemodel]
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### Usage Instructions:
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1. Install [caffe](https://github.com/BVLC/caffe), compile the matcaffe (matlab wrapper for caffe), and make sure you could run the prediction example code classification.m.
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2. Clone the code from Github:
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* Install [caffe](https://github.com/BVLC/caffe), compile the matcaffe (matlab wrapper for caffe), and make sure you could run the prediction example code classification.m.
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* Clone the code from Github:
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```
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git clone https://github.com/metalbubble/CAM.git
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cd CAM
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```
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3. Download the pretrained network
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* Download the pretrained network
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```
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sh models/download.sh
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```
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4. Run the demo code to generate the heatmap: in matlab terminal,
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* Run the demo code to generate the heatmap: in matlab terminal,
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```
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demo
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```
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5. Run the demo code to generate bounding boxes from the heatmap: in matlab terminal,
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* Run the demo code to generate bounding boxes from the heatmap: in matlab terminal,
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```
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generate_bbox
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```
@@ -40,8 +40,8 @@ The demo video of what the CNN is looking is [here](https://www.youtube.com/watc
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@inproceedings{zhou2016cvpr,
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author = {Zhou, Bolei and Khosla, Aditya and Lapedriza, Agata and Oliva, Aude and Torralba, Antonio},
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title = {Learning Deep Features for Discriminative Localization},
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booktitle = {Computer Vision and Pattern Recognition (CVPR)},
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year = {2016},
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booktitle = {Computer Vision and Pattern Recognition},
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year = {2016}
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}
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```
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### License:

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