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Merge pull request #4118 from kuaashish:master

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PiperOrigin-RevId: 513364683
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Copybara-Service 2023-03-01 15:55:37 -08:00
commit 82ee00f25d
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2
docs/getting_started/faq.md
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@ -60,7 +60,7 @@ The second approach allows up to [`max_in_flight`] invocations of the
packets from [`CalculatorBase::Process`] are automatically ordered by timestamp
before they are passed along to downstream calculators.
With either aproach, you must be aware that the calculator running in parallel
With either approach, you must be aware that the calculator running in parallel
cannot maintain internal state in the same way as a normal sequential
calculator.

4
docs/getting_started/help.md
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@ -38,8 +38,8 @@ If you open a GitHub issue, here is our policy:
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**:
- **Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device**:
- **Bazel version**:
- **Android Studio, NDK, SDK versions (if issue is related to building in mobile dev enviroment)**:
- **Xcode & Tulsi version (if issue is related to building in mobile dev enviroment)**:
- **Android Studio, NDK, SDK versions (if issue is related to building in mobile dev environment)**:
- **Xcode & Tulsi version (if issue is related to building in mobile dev environment)**:
- **Exact steps to reproduce**:
### Describe the problem

2
docs/getting_started/javascript.md
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@ -44,7 +44,7 @@ snippets.
| Browser | Platform | Notes |
| ------- | ----------------------- | -------------------------------------- |
| Chrome | Android / Windows / Mac | Pixel 4 and older unsupported. Fuschia |
| Chrome | Android / Windows / Mac | Pixel 4 and older unsupported. Fuchsia |
| | | unsupported. |
| Chrome | iOS | Camera unavailable in Chrome on iOS. |
| Safari | iPad/iPhone/Mac | iOS and Safari on iPad / iPhone / |

2
docs/getting_started/troubleshooting.md
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@ -66,7 +66,7 @@ WARNING: Download from https://storage.googleapis.com/mirror.tensorflow.org/gith
```
usually indicates that Bazel fails to download necessary dependency repositories
that MediaPipe needs. MedaiPipe has several dependency repositories that are
that MediaPipe needs. MediaPipe has several dependency repositories that are
hosted by Google sites. In some regions, you may need to set up a network proxy
or use a VPN to access those resources. You may also need to append
`--host_jvm_args "-DsocksProxyHost=<ip address> -DsocksProxyPort=<port number>"`

2
docs/solutions/face_mesh.md
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@ -143,7 +143,7 @@ about the model in this [paper](https://arxiv.org/abs/2006.10962).
The [Face Landmark Model](#face-landmark-model) performs a single-camera face landmark
detection in the screen coordinate space: the X- and Y- coordinates are
normalized screen coordinates, while the Z coordinate is relative and is scaled
as the X coodinate under the
as the X coordinate under the
[weak perspective projection camera model](https://en.wikipedia.org/wiki/3D_projection#Weak_perspective_projection).
This format is well-suited for some applications, however it does not directly
enable the full spectrum of augmented reality (AR) features like aligning a

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docs/solutions/iris.md
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@ -48,7 +48,7 @@ camera, in real-time, without the need for specialized hardware. Through use of
iris landmarks, the solution is also able to determine the metric distance
between the subject and the camera with relative error less than 10%. Note that
iris tracking does not infer the location at which people are looking, nor does
it provide any form of identity recognition. With the cross-platfrom capability
it provide any form of identity recognition. With the cross-platform capability
of the MediaPipe framework, MediaPipe Iris can run on most modern
[mobile phones](#mobile), [desktops/laptops](#desktop) and even on the
[web](#web).
@ -109,7 +109,7 @@ You can also find more details in this
### Iris Landmark Model
The iris model takes an image patch of the eye region and estimates both the eye
landmarks (along the eyelid) and iris landmarks (along ths iris contour). You
landmarks (along the eyelid) and iris landmarks (along this iris contour). You
can find more details in this [paper](https://arxiv.org/abs/2006.11341).
![iris_tracking_eye_and_iris_landmarks.png](https://mediapipe.dev/images/mobile/iris_tracking_eye_and_iris_landmarks.png) |

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docs/solutions/media_sequence.md
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@ -95,7 +95,7 @@ process new data sets, in the documentation of
MediaSequence uses SequenceExamples as the format of both inputs and
outputs. Annotations are encoded as inputs in a SequenceExample of metadata
that defines the labels and the path to the cooresponding video file. This
that defines the labels and the path to the corresponding video file. This
metadata is passed as input to the C++ `media_sequence_demo` binary, and the
output is a SequenceExample filled with images and annotations ready for
model training.

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docs/solutions/objectron.md
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@ -180,7 +180,7 @@ and a
The detection subgraph performs ML inference only once every few frames to
reduce computation load, and decodes the output tensor to a FrameAnnotation that
contains nine keypoints: the 3D bounding box's center and its eight vertices.
The tracking subgraph runs every frame, using the box traker in
The tracking subgraph runs every frame, using the box tracker in
[MediaPipe Box Tracking](./box_tracking.md) to track the 2D box tightly
enclosing the projection of the 3D bounding box, and lifts the tracked 2D
keypoints to 3D with
@ -623,7 +623,7 @@ z_ndc = 1 / Z
### Pixel Space
In this API we set upper-left coner of an image as the origin of pixel
In this API we set upper-left corner of an image as the origin of pixel
coordinate. One can convert from NDC to pixel space as follows:
```