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GitOrigin-RevId: f4b1fe3f15810450fb6539e733f6a260d3ee082c
This commit is contained in:
MediaPipe Team
2021-09-01 18:15:31 -07:00
committed by jqtang
parent 710fb3de58
commit 6abec128ed
64 changed files with 2384 additions and 161 deletions
+30 -2
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@@ -113,6 +113,10 @@ bazel to build the iOS application. The content of the
5. `Main.storyboard` and `Launch.storyboard`
6. `Assets.xcassets` directory.
Note: In newer versions of Xcode, you may see additional files `SceneDelegate.h`
and `SceneDelegate.m`. Make sure to copy them too and add them to the `BUILD`
file mentioned below.
Copy these files to a directory named `HelloWorld` to a location that can access
the MediaPipe source code. For example, the source code of the application that
we will build in this tutorial is located in
@@ -247,6 +251,12 @@ We need to get frames from the `_cameraSource` into our application
`MPPInputSourceDelegate`. So our application `ViewController` can be a delegate
of `_cameraSource`.
Update the interface definition of `ViewController` accordingly:
```
@interface ViewController () <MPPInputSourceDelegate>
```
To handle camera setup and process incoming frames, we should use a queue
different from the main queue. Add the following to the implementation block of
the `ViewController`:
@@ -288,6 +298,12 @@ utility called `MPPLayerRenderer` to display images on the screen. This utility
can be used to display `CVPixelBufferRef` objects, which is the type of the
images provided by `MPPCameraInputSource` to its delegates.
In `ViewController.m`, add the following import line:
```
#import "mediapipe/objc/MPPLayerRenderer.h"
```
To display images of the screen, we need to add a new `UIView` object called
`_liveView` to the `ViewController`.
@@ -411,6 +427,12 @@ Objective-C++.
### Use the graph in `ViewController`
In `ViewController.m`, add the following import line:
```
#import "mediapipe/objc/MPPGraph.h"
```
Declare a static constant with the name of the graph, the input stream and the
output stream:
@@ -549,6 +571,12 @@ method to receive packets on this output stream and display them on the screen:
}
```
Update the interface definition of `ViewController` with `MPPGraphDelegate`:
```
@interface ViewController () <MPPGraphDelegate, MPPInputSourceDelegate>
```
And that is all! Build and run the app on your iOS device. You should see the
results of running the edge detection graph on a live video feed. Congrats!
@@ -560,5 +588,5 @@ appropriate `BUILD` file dependencies for the edge detection graph.
[Bazel]:https://bazel.build/
[`edge_detection_mobile_gpu.pbtxt`]:https://github.com/google/mediapipe/tree/master/mediapipe/graphs/edge_detection/edge_detection_mobile_gpu.pbtxt
[common]:(https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/common)
[helloworld]:(https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/helloworld)
[common]:https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/common
[helloworld]:https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/helloworld
+1 -1
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@@ -796,7 +796,7 @@ This will use a Docker image that will isolate mediapipe's installation from the
```bash
$ docker run -it --name mediapipe mediapipe:latest
root@bca08b91ff63:/mediapipe# GLOG_logtostderr=1 bazel run --define MEDIAPIPE_DISABLE_GPU=1 mediapipe/examples/desktop/hello_world:hello_world
root@bca08b91ff63:/mediapipe# GLOG_logtostderr=1 bazelisk run --define MEDIAPIPE_DISABLE_GPU=1 mediapipe/examples/desktop/hello_world:hello_world
# Should print:
# Hello World!