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Suppor demo by cpu and save detection result. #48

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Apr 23, 2018
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Suppor demo by cpu and save detection result. #48

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ef769db
demo for CPU users
fukatani Apr 22, 2018
631477a
print saved file
fukatani Apr 22, 2018
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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -128,6 +128,11 @@ Please cite our paper in your publications if it helps your research:
```Shell
python test/refinedet_demo.py
```

For CPU users,
```Shell
python test/refinedet_demo.py --args.gpu_id -1
```

5. Evaluate the trained models via [`test/refinedet_test.py`](https://github.com/sfzhang15/RefineDet/blob/master/test/refinedet_test.py).
```Shell
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15 changes: 11 additions & 4 deletions test/refinedet_demo.py
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Expand Up @@ -2,6 +2,7 @@
In this example, we will load a RefineDet model and use it to detect objects.
'''

import argparse
import os
import sys
import numpy as np
Expand Down Expand Up @@ -61,13 +62,19 @@ def ShowResults(img, image_file, results, labelmap, threshold=0.6, save_fig=Fals
ax.text(xmin, ymin, display_text, bbox={'facecolor':color, 'alpha':0.5})
if save_fig:
plt.savefig(image_file[:-4] + '_dets.jpg', bbox_inches="tight")
print('Saved: ' + image_file[:-4] + '_dets.jpg')
plt.show()

if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--gpu_id', type=int, default=0)
parser.add_argument('--save_fig', action='store_true')
args = parser.parse_args()

# gpu preparation
gpu_id = 0
caffe.set_device(gpu_id)
caffe.set_mode_gpu()
if args.gpu_id >= 0:
caffe.set_device(args.gpu_id)
caffe.set_mode_gpu()

# load labelmap
labelmap_file = 'data/VOC0712/labelmap_voc.prototxt'
Expand Down Expand Up @@ -110,4 +117,4 @@ def ShowResults(img, image_file, results, labelmap, threshold=0.6, save_fig=Fals
result = np.column_stack([det_xmin, det_ymin, det_xmax, det_ymax, det_conf, det_label])

# show result
ShowResults(image, image_file, result, labelmap, 0.6, save_fig=False)
ShowResults(image, image_file, result, labelmap, 0.6, save_fig=args.save_fig)