Update model tarball to latest URL.

Add extraction and cleanup into download script
Directory canned_models --> all_models

README.md

@@ -8,7 +8,7 @@ together with the Edge TPU Python API.
 Before you start using the examples run
 the ```download_models.sh``` script in order to download a selection of models.
 These canned models will be downloaded and extracted to a new folder
-```canned_models```.
+```all_models```.
 
 
 Further requirements may be needed by the different camera libraries, check the

download_models.sh

@@ -13,4 +13,7 @@
 #    See the License for the specific language governing permissions and
 #    limitations under the License.
 
-wget http://storage.googleapis.com/cloud-iot-edge-pretrained-models/canned_models.tar.gz
+mkdir -p all_models
+wget https://dl.google.com/coral/canned_models/all_models.tar.gz
+tar -C all_models -xvzf all_models.tar.gz
+rm -f all_models.tar.gz

gstreamer/classify.py

@@ -34,7 +34,7 @@ def generate_svg(dwg, text_lines):
       dwg.add(dwg.text(line, insert=(10, y*20), fill='white', font_size='20'))
 
 def main():
-    default_model_dir = "../canned_models"
+    default_model_dir = "../all_models"
     default_model = 'mobilenet_v2_1.0_224_quant_edgetpu.tflite'
     default_labels = 'imagenet_labels.txt'
     parser = argparse.ArgumentParser()

gstreamer/detect.py

@@ -59,7 +59,7 @@ def generate_svg(dwg, objs, labels, text_lines):
                         fill='red', fill_opacity=0.3, stroke='white'))
 
 def main():
-    default_model_dir = '../canned_models'
+    default_model_dir = '../all_models'
     default_model = 'mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite'
     default_labels = 'coco_labels.txt'
     parser = argparse.ArgumentParser()

raspicam/README.md

@@ -24,6 +24,6 @@ python3 classify_capture.py
 You can change the model and the labels file using flags:
 
 ```
-python3 classify_capture.py --model ../canned_models/inception_v3_299_quant_edgetpu.tflite
+python3 classify_capture.py --model ../all_models/inception_v3_299_quant_edgetpu.tflite
 
 ``` 

raspicam/classify_capture.py

@@ -23,7 +23,7 @@
 import edgetpu.classification.engine
 
 def main():
-    default_model_dir = "../canned_models"
+    default_model_dir = "../all_models"
     default_model = 'mobilenet_v2_1.0_224_quant_edgetpu.tflite'
     default_labels = 'imagenet_labels.txt'
     parser = argparse.ArgumentParser()