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# Contoh Rekognition Amazon menggunakan AWS CLI
Contoh kode berikut menunjukkan cara melakukan tindakan dan mengimplementasikan skenario umum dengan menggunakan AWS Command Line Interface With Amazon Rekognition.
*Tindakan* merupakan kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Sementara tindakan menunjukkan cara memanggil fungsi layanan individual, Anda dapat melihat tindakan dalam konteks dalam skenario terkait.
Setiap contoh menyertakan tautan ke kode sumber lengkap, di mana Anda dapat menemukan instruksi tentang cara mengatur dan menjalankan kode dalam konteks.
**Topics**
+ [Tindakan](#actions)
## Tindakan
### `compare-faces`
Contoh kode berikut menunjukkan cara menggunakan`compare-faces`.
Untuk informasi selengkapnya, lihat [Membandingkan wajah dalam gambar](https://docs.aws.amazon.com/rekognition/latest/dg/faces-comparefaces.html).
**AWS CLI**
**Untuk membandingkan wajah dalam dua gambar**
`compare-faces`Perintah berikut membandingkan wajah dalam dua gambar yang disimpan dalam bucket Amazon S3.
```
aws rekognition compare-faces \
--source-image '{"S3Object":{"Bucket":"MyImageS3Bucket","Name":"source.jpg"}}' \
--target-image '{"S3Object":{"Bucket":"MyImageS3Bucket","Name":"target.jpg"}}'
```
Output:
```
{
"UnmatchedFaces": [],
"FaceMatches": [
{
"Face": {
"BoundingBox": {
"Width": 0.12368916720151901,
"Top": 0.16007372736930847,
"Left": 0.5901257991790771,
"Height": 0.25140416622161865
},
"Confidence": 100.0,
"Pose": {
"Yaw": -3.7351467609405518,
"Roll": -0.10309021919965744,
"Pitch": 0.8637830018997192
},
"Quality": {
"Sharpness": 95.51618957519531,
"Brightness": 65.29893493652344
},
"Landmarks": [
{
"Y": 0.26721030473709106,
"X": 0.6204193830490112,
"Type": "eyeLeft"
},
{
"Y": 0.26831310987472534,
"X": 0.6776827573776245,
"Type": "eyeRight"
},
{
"Y": 0.3514654338359833,
"X": 0.6241428852081299,
"Type": "mouthLeft"
},
{
"Y": 0.35258132219314575,
"X": 0.6713621020317078,
"Type": "mouthRight"
},
{
"Y": 0.3140771687030792,
"X": 0.6428444981575012,
"Type": "nose"
}
]
},
"Similarity": 100.0
}
],
"SourceImageFace": {
"BoundingBox": {
"Width": 0.12368916720151901,
"Top": 0.16007372736930847,
"Left": 0.5901257991790771,
"Height": 0.25140416622161865
},
"Confidence": 100.0
}
}
```
Untuk informasi selengkapnya, lihat [Membandingkan Wajah dalam Gambar](https://docs.aws.amazon.com/rekognition/latest/dg/faces-comparefaces.html) di Panduan *Pengembang Rekognition Amazon*.
+ Untuk detail API, lihat [CompareFaces](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/compare-faces.html)di *Referensi AWS CLI Perintah*.
### `create-collection`
Contoh kode berikut menunjukkan cara menggunakan`create-collection`.
Untuk informasi selengkapnya, lihat [Membuat koleksi](https://docs.aws.amazon.com/rekognition/latest/dg/create-collection-procedure.html).
**AWS CLI**
**Untuk membuat koleksi**
`create-collection`Perintah berikut membuat koleksi dengan nama yang ditentukan.
```
aws rekognition create-collection \
--collection-id "MyCollection"
```
Output:
```
{
"CollectionArn": "aws:rekognition:us-west-2:123456789012:collection/MyCollection",
"FaceModelVersion": "4.0",
"StatusCode": 200
}
```
Untuk informasi selengkapnya, lihat [Membuat Koleksi](https://docs.aws.amazon.com/rekognition/latest/dg/create-collection-procedure.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [CreateCollection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/create-collection.html)di *Referensi AWS CLI Perintah*.
### `create-stream-processor`
Contoh kode berikut menunjukkan cara menggunakan`create-stream-processor`.
**AWS CLI**
**Untuk membuat prosesor aliran baru**
`create-stream-processor`Contoh berikut membuat prosesor aliran baru dengan konfigurasi yang ditentukan.
```
aws rekognition create-stream-processor --name my-stream-processor\
--input '{"KinesisVideoStream":{"Arn":"arn:aws:kinesisvideo:us-west-2:123456789012:stream/macwebcam/1530559711205"}}'\
--stream-processor-output '{"KinesisDataStream":{"Arn":"arn:aws:kinesis:us-west-2:123456789012:stream/AmazonRekognitionRekStream"}}'\
--role-arn arn:aws:iam::123456789012:role/AmazonRekognitionDetect\
--settings '{"FaceSearch":{"CollectionId":"MyCollection","FaceMatchThreshold":85.5}}'
```
Output:
```
{
"StreamProcessorArn": "arn:aws:rekognition:us-west-2:123456789012:streamprocessor/my-stream-processor"
}
```
Untuk informasi selengkapnya, lihat [Bekerja dengan Video Streaming](https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [CreateStreamProcessor](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/create-stream-processor.html)di *Referensi AWS CLI Perintah*.
### `delete-collection`
Contoh kode berikut menunjukkan cara menggunakan`delete-collection`.
Untuk informasi selengkapnya, lihat [Menghapus koleksi](https://docs.aws.amazon.com/rekognition/latest/dg/delete-collection-procedure.html).
**AWS CLI**
**Untuk menghapus koleksi**
`delete-collection`Perintah berikut menghapus koleksi yang ditentukan.
```
aws rekognition delete-collection \
--collection-id MyCollection
```
Output:
```
{
"StatusCode": 200
}
```
Untuk informasi selengkapnya, lihat [Menghapus Koleksi di Panduan](https://docs.aws.amazon.com/rekognition/latest/dg/delete-collection-procedure.html) Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [DeleteCollection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/delete-collection.html)di *Referensi AWS CLI Perintah*.
### `delete-faces`
Contoh kode berikut menunjukkan cara menggunakan`delete-faces`.
Untuk informasi selengkapnya, lihat [Menghapus wajah dari koleksi](https://docs.aws.amazon.com/rekognition/latest/dg/delete-faces-procedure.html).
**AWS CLI**
**Untuk menghapus wajah dari koleksi**
`delete-faces`Perintah berikut menghapus wajah yang ditentukan dari koleksi.
```
aws rekognition delete-faces \
--collection-id MyCollection
--face-ids '["0040279c-0178-436e-b70a-e61b074e96b0"]'
```
Output:
```
{
"DeletedFaces": [
"0040279c-0178-436e-b70a-e61b074e96b0"
]
}
```
Untuk informasi selengkapnya, lihat [Menghapus Wajah dari Koleksi](https://docs.aws.amazon.com/rekognition/latest/dg/delete-faces-procedure.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [DeleteFaces](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/delete-faces.html)di *Referensi AWS CLI Perintah*.
### `delete-stream-processor`
Contoh kode berikut menunjukkan cara menggunakan`delete-stream-processor`.
**AWS CLI**
**Untuk menghapus prosesor aliran**
`delete-stream-processor`Perintah berikut menghapus prosesor aliran yang ditentukan.
```
aws rekognition delete-stream-processor \
--name my-stream-processor
```
Perintah ini tidak menghasilkan output.
Untuk informasi selengkapnya, lihat [Bekerja dengan Video Streaming](https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [DeleteStreamProcessor](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/delete-stream-processor.html)di *Referensi AWS CLI Perintah*.
### `describe-collection`
Contoh kode berikut menunjukkan cara menggunakan`describe-collection`.
Untuk informasi selengkapnya, lihat [Menjelaskan koleksi](https://docs.aws.amazon.com/rekognition/latest/dg/describe-collection-procedure.html).
**AWS CLI**
**Untuk menggambarkan koleksi**
`describe-collection`Contoh berikut menampilkan rincian tentang koleksi yang ditentukan.
```
aws rekognition describe-collection \
--collection-id MyCollection
```
Output:
```
{
"FaceCount": 200,
"CreationTimestamp": 1569444828.274,
"CollectionARN": "arn:aws:rekognition:us-west-2:123456789012:collection/MyCollection",
"FaceModelVersion": "4.0"
}
```
Untuk informasi selengkapnya, lihat [Menjelaskan Koleksi di Panduan](https://docs.aws.amazon.com/rekognition/latest/dg/describe-collection-procedure.html) Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [DescribeCollection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/describe-collection.html)di *Referensi AWS CLI Perintah*.
### `describe-stream-processor`
Contoh kode berikut menunjukkan cara menggunakan`describe-stream-processor`.
**AWS CLI**
**Untuk mendapatkan informasi tentang prosesor aliran**
`describe-stream-processor`Perintah berikut menampilkan rincian tentang prosesor aliran yang ditentukan.
```
aws rekognition describe-stream-processor \
--name my-stream-processor
```
Output:
```
{
"Status": "STOPPED",
"Name": "my-stream-processor",
"LastUpdateTimestamp": 1532449292.712,
"Settings": {
"FaceSearch": {
"FaceMatchThreshold": 80.0,
"CollectionId": "my-collection"
}
},
"RoleArn": "arn:aws:iam::123456789012:role/AmazonRekognitionDetectStream",
"StreamProcessorArn": "arn:aws:rekognition:us-west-2:123456789012:streamprocessor/my-stream-processpr",
"Output": {
"KinesisDataStream": {
"Arn": "arn:aws:kinesis:us-west-2:123456789012:stream/AmazonRekognitionRekStream"
}
},
"Input": {
"KinesisVideoStream": {
"Arn": "arn:aws:kinesisvideo:us-west-2:123456789012:stream/macwebcam/123456789012"
}
},
"CreationTimestamp": 1532449292.712
}
```
Untuk informasi selengkapnya, lihat [Bekerja dengan Video Streaming](https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [DescribeStreamProcessor](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/describe-stream-processor.html)di *Referensi AWS CLI Perintah*.
### `detect-faces`
Contoh kode berikut menunjukkan cara menggunakan`detect-faces`.
Untuk informasi selengkapnya, lihat [Mendeteksi wajah dalam gambar](https://docs.aws.amazon.com/rekognition/latest/dg/faces-detect-images.html).
**AWS CLI**
**Untuk mendeteksi wajah dalam gambar**
`detect-faces`Perintah berikut mendeteksi wajah dalam gambar tertentu yang disimpan dalam bucket Amazon S3.
```
aws rekognition detect-faces \
--image '{"S3Object":{"Bucket":"MyImageS3Bucket","Name":"MyFriend.jpg"}}' \
--attributes "ALL"
```
Output:
```
{
"FaceDetails": [
{
"Confidence": 100.0,
"Eyeglasses": {
"Confidence": 98.91107940673828,
"Value": false
},
"Sunglasses": {
"Confidence": 99.7966537475586,
"Value": false
},
"Gender": {
"Confidence": 99.56611633300781,
"Value": "Male"
},
"Landmarks": [
{
"Y": 0.26721030473709106,
"X": 0.6204193830490112,
"Type": "eyeLeft"
},
{
"Y": 0.26831310987472534,
"X": 0.6776827573776245,
"Type": "eyeRight"
},
{
"Y": 0.3514654338359833,
"X": 0.6241428852081299,
"Type": "mouthLeft"
},
{
"Y": 0.35258132219314575,
"X": 0.6713621020317078,
"Type": "mouthRight"
},
{
"Y": 0.3140771687030792,
"X": 0.6428444981575012,
"Type": "nose"
},
{
"Y": 0.24662546813488007,
"X": 0.6001564860343933,
"Type": "leftEyeBrowLeft"
},
{
"Y": 0.24326619505882263,
"X": 0.6303644776344299,
"Type": "leftEyeBrowRight"
},
{
"Y": 0.23818562924861908,
"X": 0.6146903038024902,
"Type": "leftEyeBrowUp"
},
{
"Y": 0.24373626708984375,
"X": 0.6640064716339111,
"Type": "rightEyeBrowLeft"
},
{
"Y": 0.24877218902111053,
"X": 0.7025929093360901,
"Type": "rightEyeBrowRight"
},
{
"Y": 0.23938551545143127,
"X": 0.6823262572288513,
"Type": "rightEyeBrowUp"
},
{
"Y": 0.265746533870697,
"X": 0.6112898588180542,
"Type": "leftEyeLeft"
},
{
"Y": 0.2676128149032593,
"X": 0.6317071914672852,
"Type": "leftEyeRight"
},
{
"Y": 0.262735515832901,
"X": 0.6201658248901367,
"Type": "leftEyeUp"
},
{
"Y": 0.27025148272514343,
"X": 0.6206279993057251,
"Type": "leftEyeDown"
},
{
"Y": 0.268223375082016,
"X": 0.6658390760421753,
"Type": "rightEyeLeft"
},
{
"Y": 0.2672517001628876,
"X": 0.687832236289978,
"Type": "rightEyeRight"
},
{
"Y": 0.26383838057518005,
"X": 0.6769183874130249,
"Type": "rightEyeUp"
},
{
"Y": 0.27138751745224,
"X": 0.676596462726593,
"Type": "rightEyeDown"
},
{
"Y": 0.32283174991607666,
"X": 0.6350004076957703,
"Type": "noseLeft"
},
{
"Y": 0.3219289481639862,
"X": 0.6567046642303467,
"Type": "noseRight"
},
{
"Y": 0.3420318365097046,
"X": 0.6450609564781189,
"Type": "mouthUp"
},
{
"Y": 0.3664324879646301,
"X": 0.6455618143081665,
"Type": "mouthDown"
},
{
"Y": 0.26721030473709106,
"X": 0.6204193830490112,
"Type": "leftPupil"
},
{
"Y": 0.26831310987472534,
"X": 0.6776827573776245,
"Type": "rightPupil"
},
{
"Y": 0.26343393325805664,
"X": 0.5946047306060791,
"Type": "upperJawlineLeft"
},
{
"Y": 0.3543180525302887,
"X": 0.6044883728027344,
"Type": "midJawlineLeft"
},
{
"Y": 0.4084877669811249,
"X": 0.6477024555206299,
"Type": "chinBottom"
},
{
"Y": 0.3562754988670349,
"X": 0.707981526851654,
"Type": "midJawlineRight"
},
{
"Y": 0.26580461859703064,
"X": 0.7234612107276917,
"Type": "upperJawlineRight"
}
],
"Pose": {
"Yaw": -3.7351467609405518,
"Roll": -0.10309021919965744,
"Pitch": 0.8637830018997192
},
"Emotions": [
{
"Confidence": 8.74203109741211,
"Type": "SURPRISED"
},
{
"Confidence": 2.501944065093994,
"Type": "ANGRY"
},
{
"Confidence": 0.7378743290901184,
"Type": "DISGUSTED"
},
{
"Confidence": 3.5296201705932617,
"Type": "HAPPY"
},
{
"Confidence": 1.7162904739379883,
"Type": "SAD"
},
{
"Confidence": 9.518536567687988,
"Type": "CONFUSED"
},
{
"Confidence": 0.45474427938461304,
"Type": "FEAR"
},
{
"Confidence": 72.79895782470703,
"Type": "CALM"
}
],
"AgeRange": {
"High": 48,
"Low": 32
},
"EyesOpen": {
"Confidence": 98.93987274169922,
"Value": true
},
"BoundingBox": {
"Width": 0.12368916720151901,
"Top": 0.16007372736930847,
"Left": 0.5901257991790771,
"Height": 0.25140416622161865
},
"Smile": {
"Confidence": 93.4493179321289,
"Value": false
},
"MouthOpen": {
"Confidence": 90.53053283691406,
"Value": false
},
"Quality": {
"Sharpness": 95.51618957519531,
"Brightness": 65.29893493652344
},
"Mustache": {
"Confidence": 89.85221099853516,
"Value": false
},
"Beard": {
"Confidence": 86.1991195678711,
"Value": true
}
}
]
}
```
Untuk informasi selengkapnya, lihat [Mendeteksi Wajah dalam Gambar](https://docs.aws.amazon.com/rekognition/latest/dg/faces-detect-images.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [DetectFaces](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/detect-faces.html)di *Referensi AWS CLI Perintah*.
### `detect-labels`
Contoh kode berikut menunjukkan cara menggunakan`detect-labels`.
Untuk informasi selengkapnya, lihat [Mendeteksi label dalam gambar](https://docs.aws.amazon.com/rekognition/latest/dg/labels-detect-labels-image.html).
**AWS CLI**
**Untuk mendeteksi label dalam gambar**
`detect-labels`Contoh berikut mendeteksi adegan dan objek dalam gambar yang disimpan dalam bucket Amazon S3.
```
aws rekognition detect-labels \
--image '{"S3Object":{"Bucket":"bucket","Name":"image"}}'
```
Output:
```
{
"Labels": [
{
"Instances": [],
"Confidence": 99.15271759033203,
"Parents": [
{
"Name": "Vehicle"
},
{
"Name": "Transportation"
}
],
"Name": "Automobile"
},
{
"Instances": [],
"Confidence": 99.15271759033203,
"Parents": [
{
"Name": "Transportation"
}
],
"Name": "Vehicle"
},
{
"Instances": [],
"Confidence": 99.15271759033203,
"Parents": [],
"Name": "Transportation"
},
{
"Instances": [
{
"BoundingBox": {
"Width": 0.10616336017847061,
"Top": 0.5039216876029968,
"Left": 0.0037978808395564556,
"Height": 0.18528179824352264
},
"Confidence": 99.15271759033203
},
{
"BoundingBox": {
"Width": 0.2429988533258438,
"Top": 0.5251884460449219,
"Left": 0.7309805154800415,
"Height": 0.21577216684818268
},
"Confidence": 99.1286392211914
},
{
"BoundingBox": {
"Width": 0.14233611524105072,
"Top": 0.5333095788955688,
"Left": 0.6494812965393066,
"Height": 0.15528248250484467
},
"Confidence": 98.48368072509766
},
{
"BoundingBox": {
"Width": 0.11086395382881165,
"Top": 0.5354844927787781,
"Left": 0.10355594009160995,
"Height": 0.10271988064050674
},
"Confidence": 96.45606231689453
},
{
"BoundingBox": {
"Width": 0.06254628300666809,
"Top": 0.5573825240135193,
"Left": 0.46083059906959534,
"Height": 0.053911514580249786
},
"Confidence": 93.65448760986328
},
{
"BoundingBox": {
"Width": 0.10105438530445099,
"Top": 0.534368634223938,
"Left": 0.5743985772132874,
"Height": 0.12226245552301407
},
"Confidence": 93.06217193603516
},
{
"BoundingBox": {
"Width": 0.056389667093753815,
"Top": 0.5235804319381714,
"Left": 0.9427769780158997,
"Height": 0.17163699865341187
},
"Confidence": 92.6864013671875
},
{
"BoundingBox": {
"Width": 0.06003860384225845,
"Top": 0.5441341400146484,
"Left": 0.22409997880458832,
"Height": 0.06737709045410156
},
"Confidence": 90.4227066040039
},
{
"BoundingBox": {
"Width": 0.02848697081208229,
"Top": 0.5107086896896362,
"Left": 0,
"Height": 0.19150497019290924
},
"Confidence": 86.65286254882812
},
{
"BoundingBox": {
"Width": 0.04067881405353546,
"Top": 0.5566273927688599,
"Left": 0.316415935754776,
"Height": 0.03428703173995018
},
"Confidence": 85.36471557617188
},
{
"BoundingBox": {
"Width": 0.043411049991846085,
"Top": 0.5394920110702515,
"Left": 0.18293385207653046,
"Height": 0.0893595889210701
},
"Confidence": 82.21705627441406
},
{
"BoundingBox": {
"Width": 0.031183116137981415,
"Top": 0.5579366683959961,
"Left": 0.2853088080883026,
"Height": 0.03989990055561066
},
"Confidence": 81.0157470703125
},
{
"BoundingBox": {
"Width": 0.031113790348172188,
"Top": 0.5504819750785828,
"Left": 0.2580395042896271,
"Height": 0.056484755128622055
},
"Confidence": 56.13441467285156
},
{
"BoundingBox": {
"Width": 0.08586374670267105,
"Top": 0.5438792705535889,
"Left": 0.5128012895584106,
"Height": 0.08550430089235306
},
"Confidence": 52.37760925292969
}
],
"Confidence": 99.15271759033203,
"Parents": [
{
"Name": "Vehicle"
},
{
"Name": "Transportation"
}
],
"Name": "Car"
},
{
"Instances": [],
"Confidence": 98.9914321899414,
"Parents": [],
"Name": "Human"
},
{
"Instances": [
{
"BoundingBox": {
"Width": 0.19360728561878204,
"Top": 0.35072067379951477,
"Left": 0.43734854459762573,
"Height": 0.2742200493812561
},
"Confidence": 98.9914321899414
},
{
"BoundingBox": {
"Width": 0.03801717236638069,
"Top": 0.5010883808135986,
"Left": 0.9155802130699158,
"Height": 0.06597328186035156
},
"Confidence": 85.02790832519531
}
],
"Confidence": 98.9914321899414,
"Parents": [],
"Name": "Person"
},
{
"Instances": [],
"Confidence": 93.24951934814453,
"Parents": [],
"Name": "Machine"
},
{
"Instances": [
{
"BoundingBox": {
"Width": 0.03561960905790329,
"Top": 0.6468243598937988,
"Left": 0.7850857377052307,
"Height": 0.08878646790981293
},
"Confidence": 93.24951934814453
},
{
"BoundingBox": {
"Width": 0.02217046171426773,
"Top": 0.6149078607559204,
"Left": 0.04757237061858177,
"Height": 0.07136218994855881
},
"Confidence": 91.5025863647461
},
{
"BoundingBox": {
"Width": 0.016197510063648224,
"Top": 0.6274210214614868,
"Left": 0.6472989320755005,
"Height": 0.04955997318029404
},
"Confidence": 85.14686584472656
},
{
"BoundingBox": {
"Width": 0.020207518711686134,
"Top": 0.6348286867141724,
"Left": 0.7295016646385193,
"Height": 0.07059963047504425
},
"Confidence": 83.34547424316406
},
{
"BoundingBox": {
"Width": 0.020280985161662102,
"Top": 0.6171894669532776,
"Left": 0.08744934946298599,
"Height": 0.05297485366463661
},
"Confidence": 79.9981460571289
},
{
"BoundingBox": {
"Width": 0.018318990245461464,
"Top": 0.623889148235321,
"Left": 0.6836880445480347,
"Height": 0.06730121374130249
},
"Confidence": 78.87144470214844
},
{
"BoundingBox": {
"Width": 0.021310249343514442,
"Top": 0.6167286038398743,
"Left": 0.004064912907779217,
"Height": 0.08317798376083374
},
"Confidence": 75.89361572265625
},
{
"BoundingBox": {
"Width": 0.03604431077837944,
"Top": 0.7030032277107239,
"Left": 0.9254803657531738,
"Height": 0.04569442570209503
},
"Confidence": 64.402587890625
},
{
"BoundingBox": {
"Width": 0.009834849275648594,
"Top": 0.5821820497512817,
"Left": 0.28094568848609924,
"Height": 0.01964157074689865
},
"Confidence": 62.79907989501953
},
{
"BoundingBox": {
"Width": 0.01475677452981472,
"Top": 0.6137543320655823,
"Left": 0.5950819253921509,
"Height": 0.039063986390829086
},
"Confidence": 59.40483474731445
}
],
"Confidence": 93.24951934814453,
"Parents": [
{
"Name": "Machine"
}
],
"Name": "Wheel"
},
{
"Instances": [],
"Confidence": 92.61514282226562,
"Parents": [],
"Name": "Road"
},
{
"Instances": [],
"Confidence": 92.37877655029297,
"Parents": [
{
"Name": "Person"
}
],
"Name": "Sport"
},
{
"Instances": [],
"Confidence": 92.37877655029297,
"Parents": [
{
"Name": "Person"
}
],
"Name": "Sports"
},
{
"Instances": [
{
"BoundingBox": {
"Width": 0.12326609343290329,
"Top": 0.6332163214683533,
"Left": 0.44815489649772644,
"Height": 0.058117982000112534
},
"Confidence": 92.37877655029297
}
],
"Confidence": 92.37877655029297,
"Parents": [
{
"Name": "Person"
},
{
"Name": "Sport"
}
],
"Name": "Skateboard"
},
{
"Instances": [],
"Confidence": 90.62931060791016,
"Parents": [
{
"Name": "Person"
}
],
"Name": "Pedestrian"
},
{
"Instances": [],
"Confidence": 88.81334686279297,
"Parents": [],
"Name": "Asphalt"
},
{
"Instances": [],
"Confidence": 88.81334686279297,
"Parents": [],
"Name": "Tarmac"
},
{
"Instances": [],
"Confidence": 88.23201751708984,
"Parents": [],
"Name": "Path"
},
{
"Instances": [],
"Confidence": 80.26520538330078,
"Parents": [],
"Name": "Urban"
},
{
"Instances": [],
"Confidence": 80.26520538330078,
"Parents": [
{
"Name": "Building"
},
{
"Name": "Urban"
}
],
"Name": "Town"
},
{
"Instances": [],
"Confidence": 80.26520538330078,
"Parents": [],
"Name": "Building"
},
{
"Instances": [],
"Confidence": 80.26520538330078,
"Parents": [
{
"Name": "Building"
},
{
"Name": "Urban"
}
],
"Name": "City"
},
{
"Instances": [],
"Confidence": 78.37934875488281,
"Parents": [
{
"Name": "Car"
},
{
"Name": "Vehicle"
},
{
"Name": "Transportation"
}
],
"Name": "Parking Lot"
},
{
"Instances": [],
"Confidence": 78.37934875488281,
"Parents": [
{
"Name": "Car"
},
{
"Name": "Vehicle"
},
{
"Name": "Transportation"
}
],
"Name": "Parking"
},
{
"Instances": [],
"Confidence": 74.37590026855469,
"Parents": [
{
"Name": "Building"
},
{
"Name": "Urban"
},
{
"Name": "City"
}
],
"Name": "Downtown"
},
{
"Instances": [],
"Confidence": 69.84622955322266,
"Parents": [
{
"Name": "Road"
}
],
"Name": "Intersection"
},
{
"Instances": [],
"Confidence": 57.68518829345703,
"Parents": [
{
"Name": "Sports Car"
},
{
"Name": "Car"
},
{
"Name": "Vehicle"
},
{
"Name": "Transportation"
}
],
"Name": "Coupe"
},
{
"Instances": [],
"Confidence": 57.68518829345703,
"Parents": [
{
"Name": "Car"
},
{
"Name": "Vehicle"
},
{
"Name": "Transportation"
}
],
"Name": "Sports Car"
},
{
"Instances": [],
"Confidence": 56.59492111206055,
"Parents": [
{
"Name": "Path"
}
],
"Name": "Sidewalk"
},
{
"Instances": [],
"Confidence": 56.59492111206055,
"Parents": [
{
"Name": "Path"
}
],
"Name": "Pavement"
},
{
"Instances": [],
"Confidence": 55.58770751953125,
"Parents": [
{
"Name": "Building"
},
{
"Name": "Urban"
}
],
"Name": "Neighborhood"
}
],
"LabelModelVersion": "2.0"
}
```
Untuk informasi selengkapnya, lihat [Mendeteksi Label dalam Gambar](https://docs.aws.amazon.com/rekognition/latest/dg/labels-detect-labels-image.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [DetectLabels](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/detect-labels.html)di *Referensi AWS CLI Perintah*.
### `detect-moderation-labels`
Contoh kode berikut menunjukkan cara menggunakan`detect-moderation-labels`.
Untuk informasi selengkapnya, lihat [Mendeteksi gambar yang tidak pantas](https://docs.aws.amazon.com/rekognition/latest/dg/procedure-moderate-images.html).
**AWS CLI**
**Untuk mendeteksi konten yang tidak aman dalam gambar**
`detect-moderation-labels`Perintah berikut mendeteksi konten yang tidak aman dalam gambar tertentu yang disimpan dalam bucket Amazon S3.
```
aws rekognition detect-moderation-labels \
--image "S3Object={Bucket=MyImageS3Bucket,Name=gun.jpg}"
```
Output:
```
{
"ModerationModelVersion": "3.0",
"ModerationLabels": [
{
"Confidence": 97.29618072509766,
"ParentName": "Violence",
"Name": "Weapon Violence"
},
{
"Confidence": 97.29618072509766,
"ParentName": "",
"Name": "Violence"
}
]
}
```
Untuk informasi selengkapnya, lihat [Mendeteksi Gambar Tidak Aman di Panduan](https://docs.aws.amazon.com/rekognition/latest/dg/procedure-moderate-images.html) Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [DetectModerationLabels](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/detect-moderation-labels.html)di *Referensi AWS CLI Perintah*.
### `detect-text`
Contoh kode berikut menunjukkan cara menggunakan`detect-text`.
Untuk informasi selengkapnya, lihat [Mendeteksi teks dalam gambar](https://docs.aws.amazon.com/rekognition/latest/dg/text-detecting-text-procedure.html).
**AWS CLI**
**Untuk mendeteksi teks dalam gambar**
`detect-text`Perintah berikut mendeteksi teks dalam gambar yang ditentukan.
```
aws rekognition detect-text \
--image '{"S3Object":{"Bucket":"MyImageS3Bucket","Name":"ExamplePicture.jpg"}}'
```
Output:
```
{
"TextDetections": [
{
"Geometry": {
"BoundingBox": {
"Width": 0.24624845385551453,
"Top": 0.28288066387176514,
"Left": 0.391388863325119,
"Height": 0.022687450051307678
},
"Polygon": [
{
"Y": 0.28288066387176514,
"X": 0.391388863325119
},
{
"Y": 0.2826388478279114,
"X": 0.6376373171806335
},
{
"Y": 0.30532628297805786,
"X": 0.637677013874054
},
{
"Y": 0.305568128824234,
"X": 0.39142853021621704
}
]
},
"Confidence": 94.35709381103516,
"DetectedText": "ESTD 1882",
"Type": "LINE",
"Id": 0
},
{
"Geometry": {
"BoundingBox": {
"Width": 0.33933889865875244,
"Top": 0.32603850960731506,
"Left": 0.34534579515457153,
"Height": 0.07126858830451965
},
"Polygon": [
{
"Y": 0.32603850960731506,
"X": 0.34534579515457153
},
{
"Y": 0.32633158564567566,
"X": 0.684684693813324
},
{
"Y": 0.3976001739501953,
"X": 0.684575080871582
},
{
"Y": 0.3973070979118347,
"X": 0.345236212015152
}
]
},
"Confidence": 99.95779418945312,
"DetectedText": "BRAINS",
"Type": "LINE",
"Id": 1
},
{
"Confidence": 97.22098541259766,
"Geometry": {
"BoundingBox": {
"Width": 0.061079490929841995,
"Top": 0.2843210697174072,
"Left": 0.391391396522522,
"Height": 0.021029088646173477
},
"Polygon": [
{
"Y": 0.2843210697174072,
"X": 0.391391396522522
},
{
"Y": 0.2828207015991211,
"X": 0.4524524509906769
},
{
"Y": 0.3038259446620941,
"X": 0.4534534513950348
},
{
"Y": 0.30532634258270264,
"X": 0.3923923969268799
}
]
},
"DetectedText": "ESTD",
"ParentId": 0,
"Type": "WORD",
"Id": 2
},
{
"Confidence": 91.49320983886719,
"Geometry": {
"BoundingBox": {
"Width": 0.07007007300853729,
"Top": 0.2828207015991211,
"Left": 0.5675675868988037,
"Height": 0.02250562608242035
},
"Polygon": [
{
"Y": 0.2828207015991211,
"X": 0.5675675868988037
},
{
"Y": 0.2828207015991211,
"X": 0.6376376152038574
},
{
"Y": 0.30532634258270264,
"X": 0.6376376152038574
},
{
"Y": 0.30532634258270264,
"X": 0.5675675868988037
}
]
},
"DetectedText": "1882",
"ParentId": 0,
"Type": "WORD",
"Id": 3
},
{
"Confidence": 99.95779418945312,
"Geometry": {
"BoundingBox": {
"Width": 0.33933934569358826,
"Top": 0.32633158564567566,
"Left": 0.3453453481197357,
"Height": 0.07127484679222107
},
"Polygon": [
{
"Y": 0.32633158564567566,
"X": 0.3453453481197357
},
{
"Y": 0.32633158564567566,
"X": 0.684684693813324
},
{
"Y": 0.39759939908981323,
"X": 0.6836836934089661
},
{
"Y": 0.39684921503067017,
"X": 0.3453453481197357
}
]
},
"DetectedText": "BRAINS",
"ParentId": 1,
"Type": "WORD",
"Id": 4
}
]
}
```
+ Untuk detail API, lihat [DetectText](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/detect-text.html)di *Referensi AWS CLI Perintah*.
### `get-celebrity-info`
Contoh kode berikut menunjukkan cara menggunakan`get-celebrity-info`.
**AWS CLI**
**Untuk mendapatkan informasi tentang selebriti**
`get-celebrity-info`Perintah berikut menampilkan informasi tentang selebriti yang ditentukan. `id`Parameter berasal dari panggilan sebelumnya ke`recognize-celebrities`.
```
aws rekognition get-celebrity-info --id nnnnnnn
```
Output:
```
{
"Name": "Celeb A",
"Urls": [
"www.imdb.com/name/aaaaaaaaa"
]
}
```
Untuk informasi selengkapnya, lihat [Mendapatkan Informasi Tentang Selebriti](https://docs.aws.amazon.com/rekognition/latest/dg/get-celebrity-info-procedure.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [GetCelebrityInfo](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-celebrity-info.html)di *Referensi AWS CLI Perintah*.
### `get-celebrity-recognition`
Contoh kode berikut menunjukkan cara menggunakan`get-celebrity-recognition`.
**AWS CLI**
**Untuk mendapatkan hasil operasi pengakuan selebriti**
`get-celebrity-recognition`Perintah berikut menampilkan hasil operasi pengenalan selebriti yang Anda mulai sebelumnya dengan menelepon`start-celebrity-recognition`.
```
aws rekognition get-celebrity-recognition \
--job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
```
Output:
```
{
"NextToken": "3D01ClxlCiT31VsRDkAO3IybLb/h5AtDWSGuhYi+N1FIJwwPtAkuKzDhL2rV3GcwmNt77+12",
"Celebrities": [
{
"Timestamp": 0,
"Celebrity": {
"Confidence": 96.0,
"Face": {
"BoundingBox": {
"Width": 0.70333331823349,
"Top": 0.16750000417232513,
"Left": 0.19555555284023285,
"Height": 0.3956249952316284
},
"Landmarks": [
{
"Y": 0.31031012535095215,
"X": 0.441436767578125,
"Type": "eyeLeft"
},
{
"Y": 0.3081788718700409,
"X": 0.6437258720397949,
"Type": "eyeRight"
},
{
"Y": 0.39542075991630554,
"X": 0.5572493076324463,
"Type": "nose"
},
{
"Y": 0.4597957134246826,
"X": 0.4579732120037079,
"Type": "mouthLeft"
},
{
"Y": 0.45688048005104065,
"X": 0.6349081993103027,
"Type": "mouthRight"
}
],
"Pose": {
"Yaw": 8.943398475646973,
"Roll": -2.0309247970581055,
"Pitch": -0.5674862861633301
},
"Quality": {
"Sharpness": 99.40211486816406,
"Brightness": 89.47132110595703
},
"Confidence": 99.99861145019531
},
"Name": "CelebrityA",
"Urls": [
"www.imdb.com/name/111111111"
],
"Id": "nnnnnn"
}
},
{
"Timestamp": 467,
"Celebrity": {
"Confidence": 99.0,
"Face": {
"BoundingBox": {
"Width": 0.6877777576446533,
"Top": 0.18437500298023224,
"Left": 0.20555555820465088,
"Height": 0.3868750035762787
},
"Landmarks": [
{
"Y": 0.31895750761032104,
"X": 0.4411413371562958,
"Type": "eyeLeft"
},
{
"Y": 0.3140959143638611,
"X": 0.6523157954216003,
"Type": "eyeRight"
},
{
"Y": 0.4016456604003906,
"X": 0.5682755708694458,
"Type": "nose"
},
{
"Y": 0.46894142031669617,
"X": 0.4597797095775604,
"Type": "mouthLeft"
},
{
"Y": 0.46971091628074646,
"X": 0.6286435127258301,
"Type": "mouthRight"
}
],
"Pose": {
"Yaw": 10.433465957641602,
"Roll": -3.347442388534546,
"Pitch": 1.3709543943405151
},
"Quality": {
"Sharpness": 99.5531005859375,
"Brightness": 88.5764389038086
},
"Confidence": 99.99148559570312
},
"Name": "Jane Celebrity",
"Urls": [
"www.imdb.com/name/111111111"
],
"Id": "nnnnnn"
}
}
],
"JobStatus": "SUCCEEDED",
"VideoMetadata": {
"Format": "QuickTime / MOV",
"FrameRate": 29.978118896484375,
"Codec": "h264",
"DurationMillis": 4570,
"FrameHeight": 1920,
"FrameWidth": 1080
}
}
```
Untuk informasi selengkapnya, lihat [Mengenali Selebriti dalam Video Tersimpan](https://docs.aws.amazon.com/rekognition/latest/dg/celebrities-video-sqs.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [GetCelebrityRecognition](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-celebrity-recognition.html)di *Referensi AWS CLI Perintah*.
### `get-content-moderation`
Contoh kode berikut menunjukkan cara menggunakan`get-content-moderation`.
**AWS CLI**
**Untuk mendapatkan hasil operasi konten yang tidak aman**
`get-content-moderation`Perintah berikut menampilkan hasil operasi konten tidak aman yang Anda mulai sebelumnya dengan menelepon`start-content-moderation`.
```
aws rekognition get-content-moderation \
--job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
```
Output:
```
{
"NextToken": "dlhcKMHMzpCBGFukz6IO3JMcWiJAamCVhXHt3r6b4b5Tfbyw3q7o+Jeezt+ZpgfOnW9FCCgQ",
"ModerationLabels": [
{
"Timestamp": 0,
"ModerationLabel": {
"Confidence": 97.39583587646484,
"ParentName": "",
"Name": "Violence"
}
},
{
"Timestamp": 0,
"ModerationLabel": {
"Confidence": 97.39583587646484,
"ParentName": "Violence",
"Name": "Weapon Violence"
}
}
],
"JobStatus": "SUCCEEDED",
"VideoMetadata": {
"Format": "QuickTime / MOV",
"FrameRate": 29.97515869140625,
"Codec": "h264",
"DurationMillis": 6039,
"FrameHeight": 1920,
"FrameWidth": 1080
}
}
```
Untuk informasi selengkapnya, lihat [Mendeteksi Video Tersimpan Tidak Aman di Panduan](https://docs.aws.amazon.com/rekognition/latest/dg/procedure-moderate-videos.html) Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [GetContentModeration](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-content-moderation.html)di *Referensi AWS CLI Perintah*.
### `get-face-detection`
Contoh kode berikut menunjukkan cara menggunakan`get-face-detection`.
**AWS CLI**
**Untuk mendapatkan hasil operasi deteksi wajah**
`get-face-detection`Perintah berikut menampilkan hasil operasi deteksi wajah yang Anda mulai sebelumnya dengan menelepon`start-face-detection`.
```
aws rekognition get-face-detection \
--job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
```
Output:
```
{
"Faces": [
{
"Timestamp": 467,
"Face": {
"BoundingBox": {
"Width": 0.1560753583908081,
"Top": 0.13555361330509186,
"Left": -0.0952017530798912,
"Height": 0.6934483051300049
},
"Landmarks": [
{
"Y": 0.4013825058937073,
"X": -0.041750285774469376,
"Type": "eyeLeft"
},
{
"Y": 0.41695496439933777,
"X": 0.027979329228401184,
"Type": "eyeRight"
},
{
"Y": 0.6375303268432617,
"X": -0.04034662991762161,
"Type": "mouthLeft"
},
{
"Y": 0.6497718691825867,
"X": 0.013960429467260838,
"Type": "mouthRight"
},
{
"Y": 0.5238034129142761,
"X": 0.008022055961191654,
"Type": "nose"
}
],
"Pose": {
"Yaw": -58.07863998413086,
"Roll": 1.9384294748306274,
"Pitch": -24.66305160522461
},
"Quality": {
"Sharpness": 83.14741516113281,
"Brightness": 25.75942611694336
},
"Confidence": 87.7622299194336
}
},
{
"Timestamp": 967,
"Face": {
"BoundingBox": {
"Width": 0.28559377789497375,
"Top": 0.19436298310756683,
"Left": 0.024553587660193443,
"Height": 0.7216082215309143
},
"Landmarks": [
{
"Y": 0.4650231599807739,
"X": 0.16269078850746155,
"Type": "eyeLeft"
},
{
"Y": 0.4843238294124603,
"X": 0.2782580852508545,
"Type": "eyeRight"
},
{
"Y": 0.71530681848526,
"X": 0.1741468608379364,
"Type": "mouthLeft"
},
{
"Y": 0.7310671210289001,
"X": 0.26857468485832214,
"Type": "mouthRight"
},
{
"Y": 0.582602322101593,
"X": 0.2566150426864624,
"Type": "nose"
}
],
"Pose": {
"Yaw": 11.487052917480469,
"Roll": 5.074230670928955,
"Pitch": 15.396159172058105
},
"Quality": {
"Sharpness": 73.32209777832031,
"Brightness": 54.96497344970703
},
"Confidence": 99.99998474121094
}
}
],
"NextToken": "OzL223pDKy9116O/02KXRqFIEAwxjy4PkgYcm3hSo0rdysbXg5Ex0eFgTGEj0ADEac6S037U",
"JobStatus": "SUCCEEDED",
"VideoMetadata": {
"Format": "QuickTime / MOV",
"FrameRate": 29.970617294311523,
"Codec": "h264",
"DurationMillis": 6806,
"FrameHeight": 1080,
"FrameWidth": 1920
}
}
```
Untuk informasi selengkapnya, lihat [Mendeteksi Wajah dalam Video Tersimpan](https://docs.aws.amazon.com/rekognition/latest/dg/faces-sqs-video.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [GetFaceDetection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-face-detection.html)di *Referensi AWS CLI Perintah*.
### `get-face-search`
Contoh kode berikut menunjukkan cara menggunakan`get-face-search`.
**AWS CLI**
**Untuk mendapatkan hasil operasi pencarian wajah**
`get-face-search`Perintah berikut menampilkan hasil operasi pencarian wajah yang Anda mulai sebelumnya dengan menelepon`start-face-search`.
```
aws rekognition get-face-search \
--job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
```
Output:
```
{
"Persons": [
{
"Timestamp": 467,
"FaceMatches": [],
"Person": {
"Index": 0,
"Face": {
"BoundingBox": {
"Width": 0.1560753583908081,
"Top": 0.13555361330509186,
"Left": -0.0952017530798912,
"Height": 0.6934483051300049
},
"Landmarks": [
{
"Y": 0.4013825058937073,
"X": -0.041750285774469376,
"Type": "eyeLeft"
},
{
"Y": 0.41695496439933777,
"X": 0.027979329228401184,
"Type": "eyeRight"
},
{
"Y": 0.6375303268432617,
"X": -0.04034662991762161,
"Type": "mouthLeft"
},
{
"Y": 0.6497718691825867,
"X": 0.013960429467260838,
"Type": "mouthRight"
},
{
"Y": 0.5238034129142761,
"X": 0.008022055961191654,
"Type": "nose"
}
],
"Pose": {
"Yaw": -58.07863998413086,
"Roll": 1.9384294748306274,
"Pitch": -24.66305160522461
},
"Quality": {
"Sharpness": 83.14741516113281,
"Brightness": 25.75942611694336
},
"Confidence": 87.7622299194336
}
}
},
{
"Timestamp": 967,
"FaceMatches": [
{
"Face": {
"BoundingBox": {
"Width": 0.12368900328874588,
"Top": 0.16007399559020996,
"Left": 0.5901259779930115,
"Height": 0.2514039874076843
},
"FaceId": "056a95fa-2060-4159-9cab-7ed4daa030fa",
"ExternalImageId": "image3.jpg",
"Confidence": 100.0,
"ImageId": "08f8a078-8929-37fd-8e8f-aadf690e8232"
},
"Similarity": 98.44476318359375
}
],
"Person": {
"Index": 1,
"Face": {
"BoundingBox": {
"Width": 0.28559377789497375,
"Top": 0.19436298310756683,
"Left": 0.024553587660193443,
"Height": 0.7216082215309143
},
"Landmarks": [
{
"Y": 0.4650231599807739,
"X": 0.16269078850746155,
"Type": "eyeLeft"
},
{
"Y": 0.4843238294124603,
"X": 0.2782580852508545,
"Type": "eyeRight"
},
{
"Y": 0.71530681848526,
"X": 0.1741468608379364,
"Type": "mouthLeft"
},
{
"Y": 0.7310671210289001,
"X": 0.26857468485832214,
"Type": "mouthRight"
},
{
"Y": 0.582602322101593,
"X": 0.2566150426864624,
"Type": "nose"
}
],
"Pose": {
"Yaw": 11.487052917480469,
"Roll": 5.074230670928955,
"Pitch": 15.396159172058105
},
"Quality": {
"Sharpness": 73.32209777832031,
"Brightness": 54.96497344970703
},
"Confidence": 99.99998474121094
}
}
}
],
"NextToken": "5bkgcezyuaqhtWk3C8OTW6cjRghrwV9XDMivm5B3MXm+Lv6G+L+GejyFHPhoNa/ldXIC4c/d",
"JobStatus": "SUCCEEDED",
"VideoMetadata": {
"Format": "QuickTime / MOV",
"FrameRate": 29.970617294311523,
"Codec": "h264",
"DurationMillis": 6806,
"FrameHeight": 1080,
"FrameWidth": 1920
}
}
```
Untuk informasi selengkapnya, lihat [Mencari Video Tersimpan untuk Wajah](https://docs.aws.amazon.com/rekognition/latest/dg/procedure-person-search-videos.html) di Panduan *Pengembang Rekognition Amazon*.
+ Untuk detail API, lihat [GetFaceSearch](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-face-search.html)di *Referensi AWS CLI Perintah*.
### `get-label-detection`
Contoh kode berikut menunjukkan cara menggunakan`get-label-detection`.
**AWS CLI**
**Untuk mendapatkan hasil operasi deteksi objek dan adegan**
`get-label-detection`Perintah berikut menampilkan hasil operasi deteksi objek dan adegan yang Anda mulai sebelumnya dengan menelepon`start-label-detection`.
```
aws rekognition get-label-detection \
--job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
```
Output:
```
{
"Labels": [
{
"Timestamp": 0,
"Label": {
"Instances": [],
"Confidence": 50.19071578979492,
"Parents": [
{
"Name": "Person"
},
{
"Name": "Crowd"
}
],
"Name": "Audience"
}
},
{
"Timestamp": 0,
"Label": {
"Instances": [],
"Confidence": 55.74115753173828,
"Parents": [
{
"Name": "Room"
},
{
"Name": "Indoors"
},
{
"Name": "School"
}
],
"Name": "Classroom"
}
}
],
"JobStatus": "SUCCEEDED",
"LabelModelVersion": "2.0",
"VideoMetadata": {
"Format": "QuickTime / MOV",
"FrameRate": 29.970617294311523,
"Codec": "h264",
"DurationMillis": 6806,
"FrameHeight": 1080,
"FrameWidth": 1920
},
"NextToken": "BMugzAi4L72IERzQdbpyMQuEFBsjlo5W0Yx3mfG+sR9mm98E1/CpObenspRfs/5FBQFs4X7G"
}
```
Untuk informasi selengkapnya, lihat [Mendeteksi Label dalam Video](https://docs.aws.amazon.com/rekognition/latest/dg/labels-detecting-labels-video.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [GetLabelDetection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-label-detection.html)di *Referensi AWS CLI Perintah*.
### `get-person-tracking`
Contoh kode berikut menunjukkan cara menggunakan`get-person-tracking`.
**AWS CLI**
**Untuk mendapatkan hasil dari operasi pathing orang**
`get-person-tracking`Perintah berikut menampilkan hasil operasi pathing orang yang Anda mulai sebelumnya dengan menelepon`start-person-tracking`.
```
aws rekognition get-person-tracking \
--job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
```
Output:
```
{
"Persons": [
{
"Timestamp": 500,
"Person": {
"BoundingBox": {
"Width": 0.4151041805744171,
"Top": 0.07870370149612427,
"Left": 0.0,
"Height": 0.9212962985038757
},
"Index": 0
}
},
{
"Timestamp": 567,
"Person": {
"BoundingBox": {
"Width": 0.4755208194255829,
"Top": 0.07777778059244156,
"Left": 0.0,
"Height": 0.9194444417953491
},
"Index": 0
}
}
],
"NextToken": "D/vRIYNyhG79ugdta3f+8cRg9oSRo+HigGOuxRiYpTn0ExnqTi1CJektVAc4HrAXDv25eHYk",
"JobStatus": "SUCCEEDED",
"VideoMetadata": {
"Format": "QuickTime / MOV",
"FrameRate": 29.970617294311523,
"Codec": "h264",
"DurationMillis": 6806,
"FrameHeight": 1080,
"FrameWidth": 1920
}
}
```
Untuk informasi selengkapnya, lihat [People Pathing](https://docs.aws.amazon.com/rekognition/latest/dg/persons.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [GetPersonTracking](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-person-tracking.html)di *Referensi AWS CLI Perintah*.
### `index-faces`
Contoh kode berikut menunjukkan cara menggunakan`index-faces`.
Untuk informasi selengkapnya, lihat [Menambahkan wajah ke koleksi](https://docs.aws.amazon.com/rekognition/latest/dg/add-faces-to-collection-procedure.html).
**AWS CLI**
**Untuk menambahkan wajah ke koleksi**
`index-faces`Perintah berikut menambahkan wajah yang ditemukan dalam gambar ke koleksi yang ditentukan.
```
aws rekognition index-faces \
--image '{"S3Object":{"Bucket":"MyVideoS3Bucket","Name":"MyPicture.jpg"}}' \
--collection-id MyCollection \
--max-faces 1 \
--quality-filter "AUTO" \
--detection-attributes "ALL" \
--external-image-id "MyPicture.jpg"
```
Output:
```
{
"FaceRecords": [
{
"FaceDetail": {
"Confidence": 99.993408203125,
"Eyeglasses": {
"Confidence": 99.11750030517578,
"Value": false
},
"Sunglasses": {
"Confidence": 99.98249053955078,
"Value": false
},
"Gender": {
"Confidence": 99.92769622802734,
"Value": "Male"
},
"Landmarks": [
{
"Y": 0.26750367879867554,
"X": 0.6202793717384338,
"Type": "eyeLeft"
},
{
"Y": 0.26642778515815735,
"X": 0.6787431836128235,
"Type": "eyeRight"
},
{
"Y": 0.31361380219459534,
"X": 0.6421601176261902,
"Type": "nose"
},
{
"Y": 0.3495299220085144,
"X": 0.6216195225715637,
"Type": "mouthLeft"
},
{
"Y": 0.35194727778434753,
"X": 0.669899046421051,
"Type": "mouthRight"
},
{
"Y": 0.26844894886016846,
"X": 0.6210268139839172,
"Type": "leftPupil"
},
{
"Y": 0.26707562804222107,
"X": 0.6817160844802856,
"Type": "rightPupil"
},
{
"Y": 0.24834522604942322,
"X": 0.6018546223640442,
"Type": "leftEyeBrowLeft"
},
{
"Y": 0.24397172033786774,
"X": 0.6172008514404297,
"Type": "leftEyeBrowUp"
},
{
"Y": 0.24677404761314392,
"X": 0.6339119076728821,
"Type": "leftEyeBrowRight"
},
{
"Y": 0.24582654237747192,
"X": 0.6619398593902588,
"Type": "rightEyeBrowLeft"
},
{
"Y": 0.23973053693771362,
"X": 0.6804757118225098,
"Type": "rightEyeBrowUp"
},
{
"Y": 0.24441994726657867,
"X": 0.6978968977928162,
"Type": "rightEyeBrowRight"
},
{
"Y": 0.2695908546447754,
"X": 0.6085202693939209,
"Type": "leftEyeLeft"
},
{
"Y": 0.26716896891593933,
"X": 0.6315826177597046,
"Type": "leftEyeRight"
},
{
"Y": 0.26289820671081543,
"X": 0.6202316880226135,
"Type": "leftEyeUp"
},
{
"Y": 0.27123287320137024,
"X": 0.6205548048019409,
"Type": "leftEyeDown"
},
{
"Y": 0.2668408751487732,
"X": 0.6663622260093689,
"Type": "rightEyeLeft"
},
{
"Y": 0.26741549372673035,
"X": 0.6910083889961243,
"Type": "rightEyeRight"
},
{
"Y": 0.2614026665687561,
"X": 0.6785826086997986,
"Type": "rightEyeUp"
},
{
"Y": 0.27075251936912537,
"X": 0.6789616942405701,
"Type": "rightEyeDown"
},
{
"Y": 0.3211299479007721,
"X": 0.6324167847633362,
"Type": "noseLeft"
},
{
"Y": 0.32276326417922974,
"X": 0.6558475494384766,
"Type": "noseRight"
},
{
"Y": 0.34385165572166443,
"X": 0.6444970965385437,
"Type": "mouthUp"
},
{
"Y": 0.3671635091304779,
"X": 0.6459195017814636,
"Type": "mouthDown"
}
],
"Pose": {
"Yaw": -9.54541015625,
"Roll": -0.5709401965141296,
"Pitch": 0.6045494675636292
},
"Emotions": [
{
"Confidence": 39.90074157714844,
"Type": "HAPPY"
},
{
"Confidence": 23.38753890991211,
"Type": "CALM"
},
{
"Confidence": 5.840933322906494,
"Type": "CONFUSED"
}
],
"AgeRange": {
"High": 63,
"Low": 45
},
"EyesOpen": {
"Confidence": 99.80887603759766,
"Value": true
},
"BoundingBox": {
"Width": 0.18562500178813934,
"Top": 0.1618015021085739,
"Left": 0.5575000047683716,
"Height": 0.24770642817020416
},
"Smile": {
"Confidence": 99.69740295410156,
"Value": false
},
"MouthOpen": {
"Confidence": 99.97393798828125,
"Value": false
},
"Quality": {
"Sharpness": 95.54405975341797,
"Brightness": 63.867706298828125
},
"Mustache": {
"Confidence": 97.05007934570312,
"Value": false
},
"Beard": {
"Confidence": 87.34505462646484,
"Value": false
}
},
"Face": {
"BoundingBox": {
"Width": 0.18562500178813934,
"Top": 0.1618015021085739,
"Left": 0.5575000047683716,
"Height": 0.24770642817020416
},
"FaceId": "ce7ed422-2132-4a11-ab14-06c5c410f29f",
"ExternalImageId": "example-image.jpg",
"Confidence": 99.993408203125,
"ImageId": "8d67061e-90d2-598f-9fbd-29c8497039c0"
}
}
],
"UnindexedFaces": [],
"FaceModelVersion": "3.0",
"OrientationCorrection": "ROTATE_0"
}
```
Untuk informasi selengkapnya, lihat [Menambahkan Wajah ke Koleksi](https://docs.aws.amazon.com/rekognition/latest/dg/add-faces-to-collection-procedure.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [IndexFaces](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/index-faces.html)di *Referensi AWS CLI Perintah*.
### `list-collections`
Contoh kode berikut menunjukkan cara menggunakan`list-collections`.
Untuk informasi selengkapnya, lihat [Daftar koleksi](https://docs.aws.amazon.com/rekognition/latest/dg/list-collection-procedure.html).
**AWS CLI**
**Untuk daftar koleksi yang tersedia**
`list-collections`Perintah berikut mencantumkan koleksi yang tersedia di AWS akun.
```
aws rekognition list-collections
```
Output:
```
{
"FaceModelVersions": [
"2.0",
"3.0",
"3.0",
"3.0",
"4.0",
"1.0",
"3.0",
"4.0",
"4.0",
"4.0"
],
"CollectionIds": [
"MyCollection1",
"MyCollection2",
"MyCollection3",
"MyCollection4",
"MyCollection5",
"MyCollection6",
"MyCollection7",
"MyCollection8",
"MyCollection9",
"MyCollection10"
]
}
```
Untuk informasi selengkapnya, lihat [Daftar Koleksi](https://docs.aws.amazon.com/rekognition/latest/dg/list-collection-procedure.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [ListCollections](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/list-collections.html)di *Referensi AWS CLI Perintah*.
### `list-faces`
Contoh kode berikut menunjukkan cara menggunakan`list-faces`.
Untuk informasi selengkapnya, lihat [Daftar wajah dalam koleksi](https://docs.aws.amazon.com/rekognition/latest/dg/list-faces-in-collection-procedure.html).
**AWS CLI**
**Untuk membuat daftar wajah dalam koleksi**
`list-faces`Perintah berikut mencantumkan wajah-wajah dalam koleksi yang ditentukan.
```
aws rekognition list-faces \
--collection-id MyCollection
```
Output:
```
{
"FaceModelVersion": "3.0",
"Faces": [
{
"BoundingBox": {
"Width": 0.5216310024261475,
"Top": 0.3256250023841858,
"Left": 0.13394300639629364,
"Height": 0.3918749988079071
},
"FaceId": "0040279c-0178-436e-b70a-e61b074e96b0",
"ExternalImageId": "image1.jpg",
"Confidence": 100.0,
"ImageId": "f976e487-3719-5e2d-be8b-ea2724c26991"
},
{
"BoundingBox": {
"Width": 0.5074880123138428,
"Top": 0.3774999976158142,
"Left": 0.18302799761295319,
"Height": 0.3812499940395355
},
"FaceId": "086261e8-6deb-4bc0-ac73-ab22323cc38d",
"ExternalImageId": "image2.jpg",
"Confidence": 99.99930572509766,
"ImageId": "ae1593b0-a8f6-5e24-a306-abf529e276fa"
},
{
"BoundingBox": {
"Width": 0.5574039816856384,
"Top": 0.37187498807907104,
"Left": 0.14559100568294525,
"Height": 0.4181250035762787
},
"FaceId": "11c4bd3c-19c5-4eb8-aecc-24feb93a26e1",
"ExternalImageId": "image3.jpg",
"Confidence": 99.99960327148438,
"ImageId": "80739b4d-883f-5b78-97cf-5124038e26b9"
},
{
"BoundingBox": {
"Width": 0.18562500178813934,
"Top": 0.1618019938468933,
"Left": 0.5575000047683716,
"Height": 0.24770599603652954
},
"FaceId": "13692fe4-990a-4679-b14a-5ac23d135eab",
"ExternalImageId": "image4.jpg",
"Confidence": 99.99340057373047,
"ImageId": "8df18239-9ad1-5acd-a46a-6581ff98f51b"
},
{
"BoundingBox": {
"Width": 0.5307819843292236,
"Top": 0.2862499952316284,
"Left": 0.1564060002565384,
"Height": 0.3987500071525574
},
"FaceId": "2eb5f3fd-e2a9-4b1c-a89f-afa0a518fe06",
"ExternalImageId": "image5.jpg",
"Confidence": 99.99970245361328,
"ImageId": "3c314792-197d-528d-bbb6-798ed012c150"
},
{
"BoundingBox": {
"Width": 0.5773710012435913,
"Top": 0.34437501430511475,
"Left": 0.12396000325679779,
"Height": 0.4337500035762787
},
"FaceId": "57189455-42b0-4839-a86c-abda48b13174",
"ExternalImageId": "image6.jpg",
"Confidence": 100.0,
"ImageId": "0aff2f37-e7a2-5dbc-a3a3-4ef6ec18eaa0"
},
{
"BoundingBox": {
"Width": 0.5349419713020325,
"Top": 0.29124999046325684,
"Left": 0.16389399766921997,
"Height": 0.40187498927116394
},
"FaceId": "745f7509-b1fa-44e0-8b95-367b1359638a",
"ExternalImageId": "image7.jpg",
"Confidence": 99.99979400634766,
"ImageId": "67a34327-48d1-5179-b042-01e52ccfeada"
},
{
"BoundingBox": {
"Width": 0.41499999165534973,
"Top": 0.09187500178813934,
"Left": 0.28083300590515137,
"Height": 0.3112500011920929
},
"FaceId": "8d3cfc70-4ba8-4b36-9644-90fba29c2dac",
"ExternalImageId": "image8.jpg",
"Confidence": 99.99769592285156,
"ImageId": "a294da46-2cb1-5cc4-9045-61d7ca567662"
},
{
"BoundingBox": {
"Width": 0.48166701197624207,
"Top": 0.20999999344348907,
"Left": 0.21250000596046448,
"Height": 0.36125001311302185
},
"FaceId": "bd4ceb4d-9acc-4ab7-8ef8-1c2d2ba0a66a",
"ExternalImageId": "image9.jpg",
"Confidence": 99.99949645996094,
"ImageId": "5e1a7588-e5a0-5ee3-bd00-c642518dfe3a"
},
{
"BoundingBox": {
"Width": 0.18562500178813934,
"Top": 0.1618019938468933,
"Left": 0.5575000047683716,
"Height": 0.24770599603652954
},
"FaceId": "ce7ed422-2132-4a11-ab14-06c5c410f29f",
"ExternalImageId": "image10.jpg",
"Confidence": 99.99340057373047,
"ImageId": "8d67061e-90d2-598f-9fbd-29c8497039c0"
}
]
}
```
Untuk informasi selengkapnya, lihat [Daftar Wajah dalam Koleksi](https://docs.aws.amazon.com/rekognition/latest/dg/list-faces-in-collection-procedure.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [ListFaces](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/list-faces.html)di *Referensi AWS CLI Perintah*.
### `list-stream-processors`
Contoh kode berikut menunjukkan cara menggunakan`list-stream-processors`.
**AWS CLI**
**Untuk mencantumkan prosesor streaming di akun Anda**
`list-stream-processors`Perintah berikut mencantumkan prosesor aliran di akun Anda dan status masing-masing.
```
aws rekognition list-stream-processors
```
Output:
```
{
"StreamProcessors": [
{
"Status": "STOPPED",
"Name": "my-stream-processor"
}
]
}
```
Untuk informasi selengkapnya, lihat [Bekerja dengan Video Streaming](https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [ListStreamProcessors](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/list-stream-processors.html)di *Referensi AWS CLI Perintah*.
### `recognize-celebrities`
Contoh kode berikut menunjukkan cara menggunakan`recognize-celebrities`.
Untuk informasi selengkapnya, lihat [Mengenali selebriti dalam sebuah gambar](https://docs.aws.amazon.com/rekognition/latest/dg/celebrities-procedure-image.html).
**AWS CLI**
**Untuk mengenali selebriti dalam sebuah gambar**
`recognize-celebrities`Perintah berikut mengenali selebriti dalam gambar tertentu yang disimpan dalam bucket Amazon S3. :
```
aws rekognition recognize-celebrities \
--image "S3Object={Bucket=MyImageS3Bucket,Name=moviestars.jpg}"
```
Output:
```
{
"UnrecognizedFaces": [
{
"BoundingBox": {
"Width": 0.14416666328907013,
"Top": 0.07777778059244156,
"Left": 0.625,
"Height": 0.2746031880378723
},
"Confidence": 99.9990234375,
"Pose": {
"Yaw": 10.80408763885498,
"Roll": -12.761146545410156,
"Pitch": 10.96889877319336
},
"Quality": {
"Sharpness": 94.1185531616211,
"Brightness": 79.18367004394531
},
"Landmarks": [
{
"Y": 0.18220913410186768,
"X": 0.6702951788902283,
"Type": "eyeLeft"
},
{
"Y": 0.16337193548679352,
"X": 0.7188183665275574,
"Type": "eyeRight"
},
{
"Y": 0.20739148557186127,
"X": 0.7055801749229431,
"Type": "nose"
},
{
"Y": 0.2889308035373688,
"X": 0.687512218952179,
"Type": "mouthLeft"
},
{
"Y": 0.2706988751888275,
"X": 0.7250053286552429,
"Type": "mouthRight"
}
]
}
],
"CelebrityFaces": [
{
"MatchConfidence": 100.0,
"Face": {
"BoundingBox": {
"Width": 0.14000000059604645,
"Top": 0.1190476194024086,
"Left": 0.82833331823349,
"Height": 0.2666666805744171
},
"Confidence": 99.99359130859375,
"Pose": {
"Yaw": -10.509642601013184,
"Roll": -14.51749324798584,
"Pitch": 13.799399375915527
},
"Quality": {
"Sharpness": 78.74752044677734,
"Brightness": 42.201324462890625
},
"Landmarks": [
{
"Y": 0.2290833294391632,
"X": 0.8709492087364197,
"Type": "eyeLeft"
},
{
"Y": 0.20639978349208832,
"X": 0.9153988361358643,
"Type": "eyeRight"
},
{
"Y": 0.25417643785476685,
"X": 0.8907724022865295,
"Type": "nose"
},
{
"Y": 0.32729196548461914,
"X": 0.8876466155052185,
"Type": "mouthLeft"
},
{
"Y": 0.3115464746952057,
"X": 0.9238573312759399,
"Type": "mouthRight"
}
]
},
"Name": "Celeb A",
"Urls": [
"www.imdb.com/name/aaaaaaaaa"
],
"Id": "1111111"
},
{
"MatchConfidence": 97.0,
"Face": {
"BoundingBox": {
"Width": 0.13333334028720856,
"Top": 0.24920634925365448,
"Left": 0.4449999928474426,
"Height": 0.2539682686328888
},
"Confidence": 99.99979400634766,
"Pose": {
"Yaw": 6.557040691375732,
"Roll": -7.316643714904785,
"Pitch": 9.272967338562012
},
"Quality": {
"Sharpness": 83.23492431640625,
"Brightness": 78.83267974853516
},
"Landmarks": [
{
"Y": 0.3625510632991791,
"X": 0.48898839950561523,
"Type": "eyeLeft"
},
{
"Y": 0.35366007685661316,
"X": 0.5313721299171448,
"Type": "eyeRight"
},
{
"Y": 0.3894785940647125,
"X": 0.5173314809799194,
"Type": "nose"
},
{
"Y": 0.44889405369758606,
"X": 0.5020005702972412,
"Type": "mouthLeft"
},
{
"Y": 0.4408611059188843,
"X": 0.5351271629333496,
"Type": "mouthRight"
}
]
},
"Name": "Celeb B",
"Urls": [
"www.imdb.com/name/bbbbbbbbb"
],
"Id": "2222222"
},
{
"MatchConfidence": 100.0,
"Face": {
"BoundingBox": {
"Width": 0.12416666746139526,
"Top": 0.2968254089355469,
"Left": 0.2150000035762787,
"Height": 0.23650793731212616
},
"Confidence": 99.99958801269531,
"Pose": {
"Yaw": 7.801797866821289,
"Roll": -8.326810836791992,
"Pitch": 7.844768047332764
},
"Quality": {
"Sharpness": 86.93206024169922,
"Brightness": 79.81291198730469
},
"Landmarks": [
{
"Y": 0.4027804136276245,
"X": 0.2575301229953766,
"Type": "eyeLeft"
},
{
"Y": 0.3934555947780609,
"X": 0.2956969439983368,
"Type": "eyeRight"
},
{
"Y": 0.4309830069541931,
"X": 0.2837020754814148,
"Type": "nose"
},
{
"Y": 0.48186683654785156,
"X": 0.26812544465065,
"Type": "mouthLeft"
},
{
"Y": 0.47338807582855225,
"X": 0.29905644059181213,
"Type": "mouthRight"
}
]
},
"Name": "Celeb C",
"Urls": [
"www.imdb.com/name/ccccccccc"
],
"Id": "3333333"
},
{
"MatchConfidence": 97.0,
"Face": {
"BoundingBox": {
"Width": 0.11916666477918625,
"Top": 0.3698412775993347,
"Left": 0.008333333767950535,
"Height": 0.22698412835597992
},
"Confidence": 99.99999237060547,
"Pose": {
"Yaw": 16.38478660583496,
"Roll": -1.0260354280471802,
"Pitch": 5.975185394287109
},
"Quality": {
"Sharpness": 83.23492431640625,
"Brightness": 61.408443450927734
},
"Landmarks": [
{
"Y": 0.4632347822189331,
"X": 0.049406956881284714,
"Type": "eyeLeft"
},
{
"Y": 0.46388113498687744,
"X": 0.08722897619009018,
"Type": "eyeRight"
},
{
"Y": 0.5020678639411926,
"X": 0.0758260041475296,
"Type": "nose"
},
{
"Y": 0.544157862663269,
"X": 0.054029736667871475,
"Type": "mouthLeft"
},
{
"Y": 0.5463630557060242,
"X": 0.08464983850717545,
"Type": "mouthRight"
}
]
},
"Name": "Celeb D",
"Urls": [
"www.imdb.com/name/ddddddddd"
],
"Id": "4444444"
}
]
}
```
Untuk informasi selengkapnya, lihat [Mengenali Selebriti dalam Gambar](https://docs.aws.amazon.com/rekognition/latest/dg/celebrities-procedure-image.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [RecognizeCelebrities](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/recognize-celebrities.html)di *Referensi AWS CLI Perintah*.
### `search-faces-by-image`
Contoh kode berikut menunjukkan cara menggunakan`search-faces-by-image`.
Untuk informasi selengkapnya, lihat [Mencari wajah (gambar)](https://docs.aws.amazon.com/rekognition/latest/dg/search-face-with-image-procedure.html).
**AWS CLI**
**Untuk mencari wajah dalam koleksi yang cocok dengan wajah terbesar dalam sebuah gambar.**
`search-faces-by-image`Perintah berikut mencari wajah dalam koleksi yang cocok dengan wajah terbesar dalam gambar yang ditentukan. :
```
aws rekognition search-faces-by-image \
--image '{"S3Object":{"Bucket":"MyImageS3Bucket","Name":"ExamplePerson.jpg"}}' \
--collection-id MyFaceImageCollection
{
"SearchedFaceBoundingBox": {
"Width": 0.18562500178813934,
"Top": 0.1618015021085739,
"Left": 0.5575000047683716,
"Height": 0.24770642817020416
},
"SearchedFaceConfidence": 99.993408203125,
"FaceMatches": [
{
"Face": {
"BoundingBox": {
"Width": 0.18562500178813934,
"Top": 0.1618019938468933,
"Left": 0.5575000047683716,
"Height": 0.24770599603652954
},
"FaceId": "ce7ed422-2132-4a11-ab14-06c5c410f29f",
"ExternalImageId": "example-image.jpg",
"Confidence": 99.99340057373047,
"ImageId": "8d67061e-90d2-598f-9fbd-29c8497039c0"
},
"Similarity": 99.97913360595703
},
{
"Face": {
"BoundingBox": {
"Width": 0.18562500178813934,
"Top": 0.1618019938468933,
"Left": 0.5575000047683716,
"Height": 0.24770599603652954
},
"FaceId": "13692fe4-990a-4679-b14a-5ac23d135eab",
"ExternalImageId": "image3.jpg",
"Confidence": 99.99340057373047,
"ImageId": "8df18239-9ad1-5acd-a46a-6581ff98f51b"
},
"Similarity": 99.97913360595703
},
{
"Face": {
"BoundingBox": {
"Width": 0.41499999165534973,
"Top": 0.09187500178813934,
"Left": 0.28083300590515137,
"Height": 0.3112500011920929
},
"FaceId": "8d3cfc70-4ba8-4b36-9644-90fba29c2dac",
"ExternalImageId": "image2.jpg",
"Confidence": 99.99769592285156,
"ImageId": "a294da46-2cb1-5cc4-9045-61d7ca567662"
},
"Similarity": 99.18069458007812
},
{
"Face": {
"BoundingBox": {
"Width": 0.48166701197624207,
"Top": 0.20999999344348907,
"Left": 0.21250000596046448,
"Height": 0.36125001311302185
},
"FaceId": "bd4ceb4d-9acc-4ab7-8ef8-1c2d2ba0a66a",
"ExternalImageId": "image1.jpg",
"Confidence": 99.99949645996094,
"ImageId": "5e1a7588-e5a0-5ee3-bd00-c642518dfe3a"
},
"Similarity": 98.66607666015625
},
{
"Face": {
"BoundingBox": {
"Width": 0.5349419713020325,
"Top": 0.29124999046325684,
"Left": 0.16389399766921997,
"Height": 0.40187498927116394
},
"FaceId": "745f7509-b1fa-44e0-8b95-367b1359638a",
"ExternalImageId": "image9.jpg",
"Confidence": 99.99979400634766,
"ImageId": "67a34327-48d1-5179-b042-01e52ccfeada"
},
"Similarity": 98.24278259277344
},
{
"Face": {
"BoundingBox": {
"Width": 0.5307819843292236,
"Top": 0.2862499952316284,
"Left": 0.1564060002565384,
"Height": 0.3987500071525574
},
"FaceId": "2eb5f3fd-e2a9-4b1c-a89f-afa0a518fe06",
"ExternalImageId": "image10.jpg",
"Confidence": 99.99970245361328,
"ImageId": "3c314792-197d-528d-bbb6-798ed012c150"
},
"Similarity": 98.10665893554688
},
{
"Face": {
"BoundingBox": {
"Width": 0.5074880123138428,
"Top": 0.3774999976158142,
"Left": 0.18302799761295319,
"Height": 0.3812499940395355
},
"FaceId": "086261e8-6deb-4bc0-ac73-ab22323cc38d",
"ExternalImageId": "image6.jpg",
"Confidence": 99.99930572509766,
"ImageId": "ae1593b0-a8f6-5e24-a306-abf529e276fa"
},
"Similarity": 98.10526275634766
},
{
"Face": {
"BoundingBox": {
"Width": 0.5574039816856384,
"Top": 0.37187498807907104,
"Left": 0.14559100568294525,
"Height": 0.4181250035762787
},
"FaceId": "11c4bd3c-19c5-4eb8-aecc-24feb93a26e1",
"ExternalImageId": "image5.jpg",
"Confidence": 99.99960327148438,
"ImageId": "80739b4d-883f-5b78-97cf-5124038e26b9"
},
"Similarity": 97.94659423828125
},
{
"Face": {
"BoundingBox": {
"Width": 0.5773710012435913,
"Top": 0.34437501430511475,
"Left": 0.12396000325679779,
"Height": 0.4337500035762787
},
"FaceId": "57189455-42b0-4839-a86c-abda48b13174",
"ExternalImageId": "image8.jpg",
"Confidence": 100.0,
"ImageId": "0aff2f37-e7a2-5dbc-a3a3-4ef6ec18eaa0"
},
"Similarity": 97.93476867675781
}
],
"FaceModelVersion": "3.0"
}
```
Untuk informasi selengkapnya, lihat [Mencari Wajah Menggunakan Gambar](https://docs.aws.amazon.com/rekognition/latest/dg/search-face-with-image-procedure.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [SearchFacesByImage](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/search-faces-by-image.html)di *Referensi AWS CLI Perintah*.
### `search-faces`
Contoh kode berikut menunjukkan cara menggunakan`search-faces`.
Untuk informasi selengkapnya, lihat [Mencari wajah (ID wajah)](https://docs.aws.amazon.com/rekognition/latest/dg/search-face-with-id-procedure.html).
**AWS CLI**
**Untuk mencari wajah dalam koleksi yang cocok dengan ID wajah.**
`search-faces`Perintah berikut mencari wajah dalam koleksi yang cocok dengan ID wajah yang ditentukan.
```
aws rekognition search-faces \
--face-id 8d3cfc70-4ba8-4b36-9644-90fba29c2dac \
--collection-id MyCollection
```
Output:
```
{
"SearchedFaceId": "8d3cfc70-4ba8-4b36-9644-90fba29c2dac",
"FaceModelVersion": "3.0",
"FaceMatches": [
{
"Face": {
"BoundingBox": {
"Width": 0.48166701197624207,
"Top": 0.20999999344348907,
"Left": 0.21250000596046448,
"Height": 0.36125001311302185
},
"FaceId": "bd4ceb4d-9acc-4ab7-8ef8-1c2d2ba0a66a",
"ExternalImageId": "image1.jpg",
"Confidence": 99.99949645996094,
"ImageId": "5e1a7588-e5a0-5ee3-bd00-c642518dfe3a"
},
"Similarity": 99.30997467041016
},
{
"Face": {
"BoundingBox": {
"Width": 0.18562500178813934,
"Top": 0.1618019938468933,
"Left": 0.5575000047683716,
"Height": 0.24770599603652954
},
"FaceId": "ce7ed422-2132-4a11-ab14-06c5c410f29f",
"ExternalImageId": "example-image.jpg",
"Confidence": 99.99340057373047,
"ImageId": "8d67061e-90d2-598f-9fbd-29c8497039c0"
},
"Similarity": 99.24862670898438
},
{
"Face": {
"BoundingBox": {
"Width": 0.18562500178813934,
"Top": 0.1618019938468933,
"Left": 0.5575000047683716,
"Height": 0.24770599603652954
},
"FaceId": "13692fe4-990a-4679-b14a-5ac23d135eab",
"ExternalImageId": "image3.jpg",
"Confidence": 99.99340057373047,
"ImageId": "8df18239-9ad1-5acd-a46a-6581ff98f51b"
},
"Similarity": 99.24862670898438
},
{
"Face": {
"BoundingBox": {
"Width": 0.5349419713020325,
"Top": 0.29124999046325684,
"Left": 0.16389399766921997,
"Height": 0.40187498927116394
},
"FaceId": "745f7509-b1fa-44e0-8b95-367b1359638a",
"ExternalImageId": "image9.jpg",
"Confidence": 99.99979400634766,
"ImageId": "67a34327-48d1-5179-b042-01e52ccfeada"
},
"Similarity": 96.73158264160156
},
{
"Face": {
"BoundingBox": {
"Width": 0.5307819843292236,
"Top": 0.2862499952316284,
"Left": 0.1564060002565384,
"Height": 0.3987500071525574
},
"FaceId": "2eb5f3fd-e2a9-4b1c-a89f-afa0a518fe06",
"ExternalImageId": "image10.jpg",
"Confidence": 99.99970245361328,
"ImageId": "3c314792-197d-528d-bbb6-798ed012c150"
},
"Similarity": 96.48291015625
},
{
"Face": {
"BoundingBox": {
"Width": 0.5074880123138428,
"Top": 0.3774999976158142,
"Left": 0.18302799761295319,
"Height": 0.3812499940395355
},
"FaceId": "086261e8-6deb-4bc0-ac73-ab22323cc38d",
"ExternalImageId": "image6.jpg",
"Confidence": 99.99930572509766,
"ImageId": "ae1593b0-a8f6-5e24-a306-abf529e276fa"
},
"Similarity": 96.43287658691406
},
{
"Face": {
"BoundingBox": {
"Width": 0.5574039816856384,
"Top": 0.37187498807907104,
"Left": 0.14559100568294525,
"Height": 0.4181250035762787
},
"FaceId": "11c4bd3c-19c5-4eb8-aecc-24feb93a26e1",
"ExternalImageId": "image5.jpg",
"Confidence": 99.99960327148438,
"ImageId": "80739b4d-883f-5b78-97cf-5124038e26b9"
},
"Similarity": 95.25305938720703
},
{
"Face": {
"BoundingBox": {
"Width": 0.5773710012435913,
"Top": 0.34437501430511475,
"Left": 0.12396000325679779,
"Height": 0.4337500035762787
},
"FaceId": "57189455-42b0-4839-a86c-abda48b13174",
"ExternalImageId": "image8.jpg",
"Confidence": 100.0,
"ImageId": "0aff2f37-e7a2-5dbc-a3a3-4ef6ec18eaa0"
},
"Similarity": 95.22837829589844
}
]
}
```
Untuk informasi selengkapnya, lihat [Mencari Wajah Menggunakan ID Wajahnya](https://docs.aws.amazon.com/rekognition/latest/dg/search-face-with-id-procedure.html) di Panduan Pengembang *Amazon Rekognition*.
+ Untuk detail API, lihat [SearchFaces](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/search-faces.html)di *Referensi AWS CLI Perintah*.
### `start-celebrity-recognition`
Contoh kode berikut menunjukkan cara menggunakan`start-celebrity-recognition`.
**AWS CLI**
**Untuk memulai pengakuan selebriti dalam video yang disimpan**
`start-celebrity-recognition`Perintah berikut memulai pekerjaan untuk mencari selebriti dalam file video tertentu yang disimpan dalam bucket Amazon S3.
```
aws rekognition start-celebrity-recognition \
--video "S3Object={Bucket=MyVideoS3Bucket,Name=MyVideoFile.mpg}"
```
Output:
```
{
"JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
}
```
Untuk informasi selengkapnya, lihat [Mengenali Selebriti dalam Video Tersimpan](https://docs.aws.amazon.com/rekognition/latest/dg/celebrities-video-sqs.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [StartCelebrityRecognition](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-celebrity-recognition.html)di *Referensi AWS CLI Perintah*.
### `start-content-moderation`
Contoh kode berikut menunjukkan cara menggunakan`start-content-moderation`.
**AWS CLI**
**Untuk memulai pengenalan konten yang tidak aman dalam video yang disimpan**
`start-content-moderation`Perintah berikut memulai pekerjaan untuk mendeteksi konten yang tidak aman dalam file video tertentu yang disimpan dalam bucket Amazon S3.
```
aws rekognition start-content-moderation \
--video "S3Object={Bucket=MyVideoS3Bucket,Name=MyVideoFile.mpg}"
```
Output:
```
{
"JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
}
```
Untuk informasi selengkapnya, lihat [Mendeteksi Video Tersimpan Tidak Aman di Panduan](https://docs.aws.amazon.com/rekognition/latest/dg/procedure-moderate-videos.html) Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [StartContentModeration](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-content-moderation.html)di *Referensi AWS CLI Perintah*.
### `start-face-detection`
Contoh kode berikut menunjukkan cara menggunakan`start-face-detection`.
**AWS CLI**
**Untuk mendeteksi wajah dalam video**
`start-face-detection`Perintah berikut memulai pekerjaan untuk mendeteksi wajah dalam file video tertentu yang disimpan dalam bucket Amazon S3.
```
aws rekognition start-face-detection
--video "S3Object={Bucket=MyVideoS3Bucket,Name=MyVideoFile.mpg}"
```
Output:
```
{
"JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
}
```
Untuk informasi selengkapnya, lihat [Mendeteksi Wajah dalam Video Tersimpan](https://docs.aws.amazon.com/rekognition/latest/dg/faces-sqs-video.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [StartFaceDetection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-face-detection.html)di *Referensi AWS CLI Perintah*.
### `start-face-search`
Contoh kode berikut menunjukkan cara menggunakan`start-face-search`.
**AWS CLI**
**Untuk mencari wajah dalam koleksi yang cocok dengan wajah yang terdeteksi dalam video**
`start-face-search`Perintah berikut memulai pekerjaan untuk mencari wajah dalam koleksi yang cocok dengan wajah yang terdeteksi dalam file video yang ditentukan dalam bucket Amazon S3.
```
aws rekognition start-face-search \
--video "S3Object={Bucket=MyVideoS3Bucket,Name=MyVideoFile.mpg}" \
--collection-id collection
```
Output:
```
{
"JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
}
```
Untuk informasi selengkapnya, lihat [Mencari Video Tersimpan untuk Wajah](https://docs.aws.amazon.com/rekognition/latest/dg/procedure-person-search-videos.html) di Panduan *Pengembang Rekognition Amazon*.
+ Untuk detail API, lihat [StartFaceSearch](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-face-search.html)di *Referensi AWS CLI Perintah*.
### `start-label-detection`
Contoh kode berikut menunjukkan cara menggunakan`start-label-detection`.
**AWS CLI**
**Untuk mendeteksi objek dan adegan dalam video**
`start-label-detection`Perintah berikut memulai pekerjaan untuk mendeteksi objek dan adegan dalam file video tertentu yang disimpan dalam bucket Amazon S3.
```
aws rekognition start-label-detection \
--video "S3Object={Bucket=MyVideoS3Bucket,Name=MyVideoFile.mpg}"
```
Output:
```
{
"JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
}
```
Untuk informasi selengkapnya, lihat [Mendeteksi Label dalam Video](https://docs.aws.amazon.com/rekognition/latest/dg/labels-detecting-labels-video.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [StartLabelDetection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-label-detection.html)di *Referensi AWS CLI Perintah*.
### `start-person-tracking`
Contoh kode berikut menunjukkan cara menggunakan`start-person-tracking`.
**AWS CLI**
**Untuk memulai jalur orang dalam video yang disimpan**
`start-person-tracking`Perintah berikut memulai pekerjaan untuk melacak jalur yang diambil orang di bagian video tertentu yang disimpan di bucket Amazon S3. :
```
aws rekognition start-person-tracking \
--video "S3Object={Bucket=MyVideoS3Bucket,Name=MyVideoFile.mpg}"
```
Output:
```
{
"JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
}
```
Untuk informasi selengkapnya, lihat [People Pathing](https://docs.aws.amazon.com/rekognition/latest/dg/persons.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [StartPersonTracking](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-person-tracking.html)di *Referensi AWS CLI Perintah*.
### `start-stream-processor`
Contoh kode berikut menunjukkan cara menggunakan`start-stream-processor`.
**AWS CLI**
**Untuk memulai prosesor streaming**
`start-stream-processor`Perintah berikut memulai prosesor aliran video yang ditentukan.
```
aws rekognition start-stream-processor \
--name my-stream-processor
```
Perintah ini tidak menghasilkan output.
Untuk informasi selengkapnya, lihat [Bekerja dengan Video Streaming](https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [StartStreamProcessor](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-stream-processor.html)di *Referensi AWS CLI Perintah*.
### `stop-stream-processor`
Contoh kode berikut menunjukkan cara menggunakan`stop-stream-processor`.
**AWS CLI**
**Untuk menghentikan prosesor aliran yang sedang berjalan**
`stop-stream-processor`Perintah berikut menghentikan prosesor aliran berjalan yang ditentukan.
```
aws rekognition stop-stream-processor \
--name my-stream-processor
```
Perintah ini tidak menghasilkan output.
Untuk informasi selengkapnya, lihat [Bekerja dengan Video Streaming](https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html) di Panduan Pengembang *Rekognition Amazon*.
+ Untuk detail API, lihat [StopStreamProcessor](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/stop-stream-processor.html)di *Referensi AWS CLI Perintah*.