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-rw-r--r--tensorflow/examples/android/README.md12
1 files changed, 7 insertions, 5 deletions
diff --git a/tensorflow/examples/android/README.md b/tensorflow/examples/android/README.md
index 51f6c4a71c..f9881287cd 100644
--- a/tensorflow/examples/android/README.md
+++ b/tensorflow/examples/android/README.md
@@ -24,12 +24,14 @@ on API >= 14 devices.
model to classify camera frames in real-time, displaying the top results
in an overlay on the camera image.
2. [TF Detect](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/android/src/org/tensorflow/demo/DetectorActivity.java):
- Demonstrates a model based on [Scalable Object Detection
- using Deep Neural Networks](https://arxiv.org/abs/1312.2249) to
- localize and track people in the camera preview in real-time.
+ Demonstrates an SSD-Mobilenet model trained using the
+ [Tensorflow Object Detection API](https://github.com/tensorflow/models/tree/master/object_detection/)
+ introduced in [Speed/accuracy trade-offs for modern convolutional object detectors](https://arxiv.org/abs/1611.10012) to
+ localize and track objects (from 80 categories) in the camera preview
+ in real-time.
3. [TF Stylize](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/android/src/org/tensorflow/demo/StylizeActivity.java):
Uses a model based on [A Learned Representation For Artistic
- Style](https://arxiv.org/abs/1610.07629) to restyle the camera preview
+ Style](https://arxiv.org/abs/1610.07629) to restyle the camera preview
image to that of a number of different artists.
<img src="sample_images/classify1.jpg" width="30%"><img src="sample_images/stylize1.jpg" width="30%"><img src="sample_images/detect1.jpg" width="30%">
@@ -149,7 +151,7 @@ and extract the archives yourself to the `assets` directory in the source tree:
```bash
BASE_URL=https://storage.googleapis.com/download.tensorflow.org/models
-for MODEL_ZIP in inception5h.zip mobile_multibox_v1a.zip stylize_v1.zip
+for MODEL_ZIP in inception5h.zip ssd_mobilenet_v1_android_export.zip stylize_v1.zip
do
curl -L ${BASE_URL}/${MODEL_ZIP} -o /tmp/${MODEL_ZIP}
unzip /tmp/${MODEL_ZIP} -d tensorflow/examples/android/assets/