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GitOrigin-RevId: 796203faee20d7aae2876aac8ca5a1827dee4fe3
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MediaPipe Team
2019-09-30 11:26:36 -07:00
committed by jqtang
parent 412ab42d1f
commit a2a63e3876
122 changed files with 7330 additions and 2016 deletions
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mediapipe/docs/object_detection_desktop.md
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@@ -10,8 +10,9 @@ interested in running the same TensorfFlow Lite model on Android, please see the
We show the object detection demo with both TensorFlow model and TensorFlow Lite model:
- [TensorFlow Object Detection Demo](#tensorflow-object-detection-demo)
- [TensorFlow Lite Object Detection Demo](#tensorflow-lite-object-detection-demo)
- [TensorFlow Object Detection Demo](#tensorflow-object-detection-demo)
- [TensorFlow Lite Object Detection Demo](#tensorflow-lite-object-detection-demo)
- [TensorFlow Lite Object Detection Demo with Webcam (CPU)](#tensorflow-lite-object-detection-demo)
Note: If MediaPipe depends on OpenCV 2, please see the [known issues with OpenCV 2](#known-issues-with-opencv-2) section.
@@ -207,6 +208,29 @@ $ bazel-bin/mediapipe/examples/desktop/object_detection/object_detection_tflite
--input_side_packets=input_video_path=<input video path>,output_video_path=<output video path>
```
### TensorFlow Lite Object Detection Demo with Webcam (CPU)
To build and run the TensorFlow Lite example on desktop (CPU) with Webcam, run:
```bash
# Video from webcam running on desktop CPU
$ bazel build -c opt --define MEDIAPIPE_DISABLE_GPU=1 \
mediapipe/examples/desktop/object_detection:object_detection_cpu
# It should print:
#Target //mediapipe/examples/desktop/object_detection:object_detection_cpu up-to-date:
# bazel-bin/mediapipe/examples/desktop/object_detection/object_detection_cpu
#INFO: Elapsed time: 16.020s, Forge stats: 13001/13003 actions cached, 2.1s CPU used, 0.0s queue time, 89.0 MB ObjFS output (novel bytes: 88.0 MB), 0.0 MB local output, Critical Path: 10.01s, Remote (41.42% of the time): [queue: 0.00%, setup: 4.21%, process: 12.48%]
#INFO: Streaming build results to: http://sponge2/1824d4cc-ba63-4350-bdc0-aacbd45b902b
#INFO: Build completed successfully, 12154 total actions
$ export GLOG_logtostderr=1
# This will open up your webcam as long as it is connected and on
# Any errors is likely due to your webcam being not accessible
$ bazel-bin/mediapipe/examples/desktop/object_detection/object_detection_cpu \
--calculator_graph_config_file=mediapipe/graphs/object_detection/object_detection_desktop_live.pbtxt
```
#### Graph
![graph visualization](images/object_detection_desktop_tflite.png)