experiments/STT-tensorflow
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Merge pull request #44101 from TylerADavis:patch-1

Browse Source 
PiperOrigin-RevId: 339833238
Change-Id: I8741a57de5b1adda350b59bb376c60449b3f08be
This commit is contained in:
TensorFlower Gardener 2020-10-30 02:17:57 -07:00
commit 02b4da03bb
1 changed files with 6 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
tensorflow/lite/examples/python/README.md
View File

@ -5,18 +5,16 @@ TensorFlow Lite model and use it to recognize objects in images. The Python
script accepts arguments specifying the model to use, the corresponding labels
file, and the image to process.
**Tip:**
If you're using a Raspberry Pi, instead try the [classify_picamera.py example](
https://github.com/tensorflow/examples/tree/master/lite/examples/image_classification/raspberry_pi).
Before you begin,
make sure you [have TensorFlow installed](https://www.tensorflow.org/install).
**Tip:** If you're using a Raspberry Pi, instead try the
[classify_picamera.py example](https://github.com/tensorflow/examples/tree/master/lite/examples/image_classification/raspberry_pi).
Before you begin, make sure you
[have TensorFlow installed](https://www.tensorflow.org/install).
## Download sample model and image
You can use any compatible model, but the following MobileNet v1 model offers
a good demonstration of a model trained to recognize 1,000 different objects.
You can use any compatible model, but the following MobileNet v1 model offers a
good demonstration of a model trained to recognize 1,000 different objects.
```sh
# Get photo
@ -31,8 +29,6 @@ mv /tmp/mobilenet_v1_1.0_224/labels.txt /tmp/
## Run the sample
Note: Instead use `python` if you're using Python 2.x.
```sh
python3 label_image.py \
--model_file /tmp/mobilenet_v1_1.0_224.tflite \