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# Exemples d'utilisation d'Amazon Rekognition AWS CLI
Les exemples de code suivants vous montrent comment effectuer des actions et implémenter des scénarios courants à l' AWS Command Line Interface aide d'Amazon Rekognition.
Les *actions* sont des extraits de code de programmes plus larges et doivent être exécutées dans leur contexte. Alors que les actions vous indiquent comment appeler des fonctions de service individuelles, vous pouvez les voir en contexte dans leurs scénarios associés.
Chaque exemple inclut un lien vers le code source complet, où vous trouverez des instructions sur la configuration et l’exécution du code en contexte.
**Topics**
+ [Actions](#actions)
## Actions
### `compare-faces`
L'exemple de code suivant montre comment utiliser`compare-faces`.
Pour plus d’informations, consultez [Comparaison de visages dans des images](https://docs.aws.amazon.com/rekognition/latest/dg/faces-comparefaces.html).
**AWS CLI**
**Pour comparer les visages dans deux images**
La commande `compare-faces` suivante compare les visages dans deux images stockées dans un compartiment Amazon S3.
```
aws rekognition compare-faces \
--source-image '{"S3Object":{"Bucket":"MyImageS3Bucket","Name":"source.jpg"}}' \
--target-image '{"S3Object":{"Bucket":"MyImageS3Bucket","Name":"target.jpg"}}'
```
Sortie :
```
{
"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
}
}
```
Pour plus d’informations, consultez [Comparaison de visages dans les images](https://docs.aws.amazon.com/rekognition/latest/dg/faces-comparefaces.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [CompareFaces](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/compare-faces.html)la section *Référence des AWS CLI commandes*.
### `create-collection`
L'exemple de code suivant montre comment utiliser`create-collection`.
Pour plus d’informations, consultez [Création d’une collection](https://docs.aws.amazon.com/rekognition/latest/dg/create-collection-procedure.html).
**AWS CLI**
**Pour créer une collection**
La commande `create-collection` suivante crée une collection portant le nom spécifié.
```
aws rekognition create-collection \
--collection-id "MyCollection"
```
Sortie :
```
{
"CollectionArn": "aws:rekognition:us-west-2:123456789012:collection/MyCollection",
"FaceModelVersion": "4.0",
"StatusCode": 200
}
```
Pour plus d’informations, consultez [Création d’une collection](https://docs.aws.amazon.com/rekognition/latest/dg/create-collection-procedure.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [CreateCollection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/create-collection.html)la section *Référence des AWS CLI commandes*.
### `create-stream-processor`
L'exemple de code suivant montre comment utiliser`create-stream-processor`.
**AWS CLI**
**Pour créer un processeur de flux**
L’exemple `create-stream-processor` suivant crée un processeur de flux avec la configuration spécifiée.
```
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}}'
```
Sortie :
```
{
"StreamProcessorArn": "arn:aws:rekognition:us-west-2:123456789012:streamprocessor/my-stream-processor"
}
```
Pour plus d’informations, consultez [Utilisation des vidéos streaming](https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [CreateStreamProcessor](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/create-stream-processor.html)la section *Référence des AWS CLI commandes*.
### `delete-collection`
L'exemple de code suivant montre comment utiliser`delete-collection`.
Pour plus d’informations, consultez [Suppression d’une collection](https://docs.aws.amazon.com/rekognition/latest/dg/delete-collection-procedure.html).
**AWS CLI**
**Pour supprimer une collection**
La commande `delete-collection` suivante supprime la collection spécifiée.
```
aws rekognition delete-collection \
--collection-id MyCollection
```
Sortie :
```
{
"StatusCode": 200
}
```
Pour plus d’informations, consultez [Suppression d’une collection](https://docs.aws.amazon.com/rekognition/latest/dg/delete-collection-procedure.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [DeleteCollection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/delete-collection.html)la section *Référence des AWS CLI commandes*.
### `delete-faces`
L'exemple de code suivant montre comment utiliser`delete-faces`.
Pour plus d’informations, veuillez consulter [Supprimer des visages d’une collection](https://docs.aws.amazon.com/rekognition/latest/dg/delete-faces-procedure.html).
**AWS CLI**
**Pour supprimer des visages d'une collection**
La commande `delete-faces` suivante supprime le visage spécifié d’une collection.
```
aws rekognition delete-faces \
--collection-id MyCollection
--face-ids '["0040279c-0178-436e-b70a-e61b074e96b0"]'
```
Sortie :
```
{
"DeletedFaces": [
"0040279c-0178-436e-b70a-e61b074e96b0"
]
}
```
Pour plus d’informations, consultez [Suppression de visages d’une collection](https://docs.aws.amazon.com/rekognition/latest/dg/delete-faces-procedure.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [DeleteFaces](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/delete-faces.html)la section *Référence des AWS CLI commandes*.
### `delete-stream-processor`
L'exemple de code suivant montre comment utiliser`delete-stream-processor`.
**AWS CLI**
**Pour supprimer un processeur de flux**
La commande `delete-stream-processor` suivante supprime le processeur de flux spécifié.
```
aws rekognition delete-stream-processor \
--name my-stream-processor
```
Cette commande ne produit aucune sortie.
Pour plus d’informations, consultez [Utilisation des vidéos streaming](https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [DeleteStreamProcessor](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/delete-stream-processor.html)la section *Référence des AWS CLI commandes*.
### `describe-collection`
L'exemple de code suivant montre comment utiliser`describe-collection`.
Pour plus d’informations, veuillez consulter [Description d’une collection](https://docs.aws.amazon.com/rekognition/latest/dg/describe-collection-procedure.html).
**AWS CLI**
**Pour décrire une collection**
L’exemple `describe-collection` suivant affiche les détails sur la collection spécifiée.
```
aws rekognition describe-collection \
--collection-id MyCollection
```
Sortie :
```
{
"FaceCount": 200,
"CreationTimestamp": 1569444828.274,
"CollectionARN": "arn:aws:rekognition:us-west-2:123456789012:collection/MyCollection",
"FaceModelVersion": "4.0"
}
```
Pour plus d’informations, consultez [Description d’une collection](https://docs.aws.amazon.com/rekognition/latest/dg/describe-collection-procedure.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [DescribeCollection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/describe-collection.html)la section *Référence des AWS CLI commandes*.
### `describe-stream-processor`
L'exemple de code suivant montre comment utiliser`describe-stream-processor`.
**AWS CLI**
**Pour obtenir les informations sur un processeur de flux**
La commande `describe-stream-processor` suivante affiche des détails sur le processeur de flux spécifié.
```
aws rekognition describe-stream-processor \
--name my-stream-processor
```
Sortie :
```
{
"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
}
```
Pour plus d’informations, consultez [Utilisation des vidéos streaming](https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [DescribeStreamProcessor](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/describe-stream-processor.html)la section *Référence des AWS CLI commandes*.
### `detect-faces`
L'exemple de code suivant montre comment utiliser`detect-faces`.
Pour plus d’informations, veuillez consulter [Détecter des visages dans une image](https://docs.aws.amazon.com/rekognition/latest/dg/faces-detect-images.html).
**AWS CLI**
**Pour détecter des visages sur une image**
La commande `detect-faces` suivante détecte les visages sur l’image spécifiée stockée dans un compartiment Amazon S3.
```
aws rekognition detect-faces \
--image '{"S3Object":{"Bucket":"MyImageS3Bucket","Name":"MyFriend.jpg"}}' \
--attributes "ALL"
```
Sortie :
```
{
"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
}
}
]
}
```
Pour plus d’informations, consultez [Détection de visages sur une image](https://docs.aws.amazon.com/rekognition/latest/dg/faces-detect-images.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [DetectFaces](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/detect-faces.html)la section *Référence des AWS CLI commandes*.
### `detect-labels`
L'exemple de code suivant montre comment utiliser`detect-labels`.
Pour plus d’informations, veuillez consulter [Détection des étiquettes dans une image](https://docs.aws.amazon.com/rekognition/latest/dg/labels-detect-labels-image.html).
**AWS CLI**
**Pour détecter une étiquette dans une image**
L’exemple `detect-labels` suivant détecte les scènes et les objets dans une image stockée dans un compartiment Amazon S3.
```
aws rekognition detect-labels \
--image '{"S3Object":{"Bucket":"bucket","Name":"image"}}'
```
Sortie :
```
{
"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"
}
```
Pour plus d’informations, consultez [Détection des étiquettes dans une image](https://docs.aws.amazon.com/rekognition/latest/dg/labels-detect-labels-image.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [DetectLabels](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/detect-labels.html)la section *Référence des AWS CLI commandes*.
### `detect-moderation-labels`
L'exemple de code suivant montre comment utiliser`detect-moderation-labels`.
Pour plus d’informations, veuillez consulter [Détecter des images inappropriées](https://docs.aws.amazon.com/rekognition/latest/dg/procedure-moderate-images.html).
**AWS CLI**
**Pour détecter le contenu inapproprié dans une image**
La commande `detect-moderation-labels` suivante détecte le contenu inapproprié dans l’image spécifiée stockée dans un compartiment Amazon S3.
```
aws rekognition detect-moderation-labels \
--image "S3Object={Bucket=MyImageS3Bucket,Name=gun.jpg}"
```
Sortie :
```
{
"ModerationModelVersion": "3.0",
"ModerationLabels": [
{
"Confidence": 97.29618072509766,
"ParentName": "Violence",
"Name": "Weapon Violence"
},
{
"Confidence": 97.29618072509766,
"ParentName": "",
"Name": "Violence"
}
]
}
```
Pour plus d’informations, consultez [Détection d’images inappropriées](https://docs.aws.amazon.com/rekognition/latest/dg/procedure-moderate-images.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [DetectModerationLabels](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/detect-moderation-labels.html)la section *Référence des AWS CLI commandes*.
### `detect-text`
L'exemple de code suivant montre comment utiliser`detect-text`.
Pour plus d’informations, consultez [Détection de texte dans une image](https://docs.aws.amazon.com/rekognition/latest/dg/text-detecting-text-procedure.html).
**AWS CLI**
**Pour détecter le texte dans une image**
La commande `detect-text` suivante détecte le texte dans l’image spécifiée.
```
aws rekognition detect-text \
--image '{"S3Object":{"Bucket":"MyImageS3Bucket","Name":"ExamplePicture.jpg"}}'
```
Sortie :
```
{
"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
}
]
}
```
+ Pour plus de détails sur l'API, voir [DetectText](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/detect-text.html)la section *Référence des AWS CLI commandes*.
### `get-celebrity-info`
L'exemple de code suivant montre comment utiliser`get-celebrity-info`.
**AWS CLI**
**Pour obtenir les informations sur une célébrité**
La commande `get-celebrity-info` suivante affiche des informations sur la célébrité spécifiée. Le paramètre `id` provient d’un appel précédent à `recognize-celebrities`.
```
aws rekognition get-celebrity-info --id nnnnnnn
```
Sortie :
```
{
"Name": "Celeb A",
"Urls": [
"www.imdb.com/name/aaaaaaaaa"
]
}
```
Pour plus d’informations, consultez [Obtention d’informations sur une célébrité](https://docs.aws.amazon.com/rekognition/latest/dg/get-celebrity-info-procedure.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [GetCelebrityInfo](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-celebrity-info.html)la section *Référence des AWS CLI commandes*.
### `get-celebrity-recognition`
L'exemple de code suivant montre comment utiliser`get-celebrity-recognition`.
**AWS CLI**
**Pour obtenir les résultats d’une opération de reconnaissance de célébrités**
La `get-celebrity-recognition` commande suivante affiche les résultats d'une opération de reconnaissance de célébrités que vous avez lancée précédemment en appelant`start-celebrity-recognition`.
```
aws rekognition get-celebrity-recognition \
--job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
```
Sortie :
```
{
"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
}
}
```
Pour plus d’informations, consultez [Reconnaissance de célébrités dans une vidéo stockée](https://docs.aws.amazon.com/rekognition/latest/dg/celebrities-video-sqs.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [GetCelebrityRecognition](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-celebrity-recognition.html)la section *Référence des AWS CLI commandes*.
### `get-content-moderation`
L'exemple de code suivant montre comment utiliser`get-content-moderation`.
**AWS CLI**
**Pour obtenir les résultats d’une opération de contenu inapproprié**
La commande `get-content-moderation` suivante affiche les résultats d’une opération de contenu inapproprié que vous avez lancée précédemment en appelant `start-content-moderation`.
```
aws rekognition get-content-moderation \
--job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
```
Sortie :
```
{
"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
}
}
```
Pour plus d’informations, consultez [Détection de vidéos stockées inappropriées](https://docs.aws.amazon.com/rekognition/latest/dg/procedure-moderate-videos.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [GetContentModeration](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-content-moderation.html)la section *Référence des AWS CLI commandes*.
### `get-face-detection`
L'exemple de code suivant montre comment utiliser`get-face-detection`.
**AWS CLI**
**Pour obtenir les résultats d’une opération de détection des visages**
La commande `get-face-detection` suivante affiche les résultats d’une opération de détection des visages que vous avez lancée précédemment en appelant `start-face-detection`.
```
aws rekognition get-face-detection \
--job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
```
Sortie :
```
{
"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
}
}
```
Pour plus d’informations, consultez [Détection de visages dans une vidéo stockée](https://docs.aws.amazon.com/rekognition/latest/dg/faces-sqs-video.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [GetFaceDetection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-face-detection.html)la section *Référence des AWS CLI commandes*.
### `get-face-search`
L'exemple de code suivant montre comment utiliser`get-face-search`.
**AWS CLI**
**Pour obtenir les résultats d’une opération de recherche des visages**
La commande `get-face-search` suivante affiche les résultats d’une opération de recherche des visages que vous avez lancée précédemment en appelant `start-face-search`.
```
aws rekognition get-face-search \
--job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
```
Sortie :
```
{
"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
}
}
```
Pour plus d’informations, consultez [Recherche de visages dans des vidéos stockées](https://docs.aws.amazon.com/rekognition/latest/dg/procedure-person-search-videos.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [GetFaceSearch](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-face-search.html)la section *Référence des AWS CLI commandes*.
### `get-label-detection`
L'exemple de code suivant montre comment utiliser`get-label-detection`.
**AWS CLI**
**Pour obtenir les résultats d’une opération de détection d’objets et de scènes**
La commande `get-label-detection` suivante affiche les résultats d’une opération de détection d’objets et de scènes que vous avez lancée précédemment en appelant `start-label-detection`.
```
aws rekognition get-label-detection \
--job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
```
Sortie :
```
{
"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"
}
```
Pour plus d’informations, consultez [Détection des étiquettes dans une vidéo](https://docs.aws.amazon.com/rekognition/latest/dg/labels-detecting-labels-video.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [GetLabelDetection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-label-detection.html)la section *Référence des AWS CLI commandes*.
### `get-person-tracking`
L'exemple de code suivant montre comment utiliser`get-person-tracking`.
**AWS CLI**
**Pour obtenir les résultats d’une opération de tracé du chemin de personnes**
La commande `get-person-tracking` suivante affiche les résultats d’une opération de tracé du chemin de personnes que vous avez lancée précédemment en appelant `start-person-tracking`.
```
aws rekognition get-person-tracking \
--job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef
```
Sortie :
```
{
"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
}
}
```
Pour plus d’informations, consultez [Tracé du chemin de personnes](https://docs.aws.amazon.com/rekognition/latest/dg/persons.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [GetPersonTracking](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/get-person-tracking.html)la section *Référence des AWS CLI commandes*.
### `index-faces`
L'exemple de code suivant montre comment utiliser`index-faces`.
Pour plus d’informations, veuillez consulter [Ajouter des visages à une collection](https://docs.aws.amazon.com/rekognition/latest/dg/add-faces-to-collection-procedure.html).
**AWS CLI**
**Pour ajouter des visages à une collection**
La commande `index-faces` suivante ajoute les visages trouvés dans une image à la collection spécifiée.
```
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"
```
Sortie :
```
{
"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"
}
```
Pour plus d’informations, consultez [Ajout de visages à une collection](https://docs.aws.amazon.com/rekognition/latest/dg/add-faces-to-collection-procedure.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [IndexFaces](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/index-faces.html)la section *Référence des AWS CLI commandes*.
### `list-collections`
L'exemple de code suivant montre comment utiliser`list-collections`.
Pour plus d’informations, consultez [Créer une liste de collections](https://docs.aws.amazon.com/rekognition/latest/dg/list-collection-procedure.html).
**AWS CLI**
**Pour répertorier les collections disponibles**
La `list-collections` commande suivante répertorie les collections disponibles dans le AWS compte.
```
aws rekognition list-collections
```
Sortie :
```
{
"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"
]
}
```
Pour plus d’informations, consultez [Créer une liste de collections](https://docs.aws.amazon.com/rekognition/latest/dg/list-collection-procedure.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [ListCollections](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/list-collections.html)la section *Référence des AWS CLI commandes*.
### `list-faces`
L'exemple de code suivant montre comment utiliser`list-faces`.
Pour plus d’informations, consultez [Répertoriage de visages d’une collection](https://docs.aws.amazon.com/rekognition/latest/dg/list-faces-in-collection-procedure.html).
**AWS CLI**
**Pour répertorier les visages d’une collection**
La commande `list-faces` suivante répertorie les visages dans la collection spécifiée.
```
aws rekognition list-faces \
--collection-id MyCollection
```
Sortie :
```
{
"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"
}
]
}
```
Pour plus d’informations, consultez [Création d’une liste de visages d’une collection](https://docs.aws.amazon.com/rekognition/latest/dg/list-faces-in-collection-procedure.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [ListFaces](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/list-faces.html)la section *Référence des AWS CLI commandes*.
### `list-stream-processors`
L'exemple de code suivant montre comment utiliser`list-stream-processors`.
**AWS CLI**
**Pour créer une liste des processeurs de flux de votre compte**
La commande `list-stream-processors` suivante crée une liste des processeurs de flux de votre compte et de leurs états respectifs.
```
aws rekognition list-stream-processors
```
Sortie :
```
{
"StreamProcessors": [
{
"Status": "STOPPED",
"Name": "my-stream-processor"
}
]
}
```
Pour plus d’informations, consultez [Utilisation des vidéos streaming](https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, voir [ListStreamProcessors](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/list-stream-processors.html)la section *Référence des AWS CLI commandes*.
### `recognize-celebrities`
L'exemple de code suivant montre comment utiliser`recognize-celebrities`.
Pour plus d’informations, consultez [Reconnaissance de célébrités dans une image](https://docs.aws.amazon.com/rekognition/latest/dg/celebrities-procedure-image.html).
**AWS CLI**
**Reconnaître les célébrités sur une image**
La commande `recognize-celebrities` suivante reconnaît les célébrités sur l’image spécifiée stockée dans un compartiment Amazon S3 :
```
aws rekognition recognize-celebrities \
--image "S3Object={Bucket=MyImageS3Bucket,Name=moviestars.jpg}"
```
Sortie :
```
{
"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"
}
]
}
```
Pour plus d’informations, consultez [Reconnaissance de célébrités sur une image](https://docs.aws.amazon.com/rekognition/latest/dg/celebrities-procedure-image.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, reportez-vous [RecognizeCelebrities](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/recognize-celebrities.html)à la section *Référence des AWS CLI commandes*.
### `search-faces-by-image`
L'exemple de code suivant montre comment utiliser`search-faces-by-image`.
Pour plus d’informations, voir [Recherche d’un visage (image)](https://docs.aws.amazon.com/rekognition/latest/dg/search-face-with-image-procedure.html).
**AWS CLI**
**Pour rechercher les visages d’une collection qui correspondent au visage le plus grand d’une image**
La commande `search-faces-by-image` suivante recherche les visages d’une collection qui correspondent au visage le plus grand de l’image spécifiée :
```
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"
}
```
Pour plus d’informations, consultez [Recherche d’un visage à l’aide de son image](https://docs.aws.amazon.com/rekognition/latest/dg/search-face-with-image-procedure.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, reportez-vous [SearchFacesByImage](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/search-faces-by-image.html)à la section *Référence des AWS CLI commandes*.
### `search-faces`
L'exemple de code suivant montre comment utiliser`search-faces`.
Pour plus d’informations, veuillez consulter [Recherche d’un visage (identification faciale)](https://docs.aws.amazon.com/rekognition/latest/dg/search-face-with-id-procedure.html).
**AWS CLI**
**Pour rechercher les visages d’une collection qui correspondent à un ID de visage**
La commande `search-faces` suivante recherche les visages d’une collection qui correspondent à l’ID de visage spécifié.
```
aws rekognition search-faces \
--face-id 8d3cfc70-4ba8-4b36-9644-90fba29c2dac \
--collection-id MyCollection
```
Sortie :
```
{
"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
}
]
}
```
Pour plus d’informations, consultez [Recherche d’un visage à l’aide de son ID](https://docs.aws.amazon.com/rekognition/latest/dg/search-face-with-id-procedure.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, reportez-vous [SearchFaces](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/search-faces.html)à la section *Référence des AWS CLI commandes*.
### `start-celebrity-recognition`
L'exemple de code suivant montre comment utiliser`start-celebrity-recognition`.
**AWS CLI**
**Pour démarrer la reconnaissance de célébrités dans une vidéo stockée**
La commande `start-celebrity-recognition` suivante lance une tâche de recherche de célébrités dans le fichier vidéo spécifié stocké dans un compartiment Amazon S3.
```
aws rekognition start-celebrity-recognition \
--video "S3Object={Bucket=MyVideoS3Bucket,Name=MyVideoFile.mpg}"
```
Sortie :
```
{
"JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
}
```
Pour plus d’informations, consultez [Reconnaissance de célébrités dans une vidéo stockée](https://docs.aws.amazon.com/rekognition/latest/dg/celebrities-video-sqs.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, reportez-vous [StartCelebrityRecognition](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-celebrity-recognition.html)à la section *Référence des AWS CLI commandes*.
### `start-content-moderation`
L'exemple de code suivant montre comment utiliser`start-content-moderation`.
**AWS CLI**
**Pour démarrer la reconnaissance du contenu inapproprié dans une vidéo stockée**
La commande `start-content-moderation` suivante lance une tâche de détection du contenu inapproprié dans le fichier vidéo spécifié stocké dans un compartiment Amazon S3.
```
aws rekognition start-content-moderation \
--video "S3Object={Bucket=MyVideoS3Bucket,Name=MyVideoFile.mpg}"
```
Sortie :
```
{
"JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
}
```
Pour plus d’informations, consultez [Détection de vidéos stockées inappropriées](https://docs.aws.amazon.com/rekognition/latest/dg/procedure-moderate-videos.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, reportez-vous [StartContentModeration](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-content-moderation.html)à la section *Référence des AWS CLI commandes*.
### `start-face-detection`
L'exemple de code suivant montre comment utiliser`start-face-detection`.
**AWS CLI**
**Pour détecter des visages dans une vidéo**
La commande `start-face-detection` suivante lance une tâche de détection des visages dans le fichier vidéo spécifié stocké dans un compartiment Amazon S3.
```
aws rekognition start-face-detection
--video "S3Object={Bucket=MyVideoS3Bucket,Name=MyVideoFile.mpg}"
```
Sortie :
```
{
"JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
}
```
Pour plus d’informations, consultez [Détection de visages dans une vidéo stockée](https://docs.aws.amazon.com/rekognition/latest/dg/faces-sqs-video.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, reportez-vous [StartFaceDetection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-face-detection.html)à la section *Référence des AWS CLI commandes*.
### `start-face-search`
L'exemple de code suivant montre comment utiliser`start-face-search`.
**AWS CLI**
**Pour rechercher les visages d’une collection qui correspondent aux visages détectés dans une vidéo**
La commande `start-face-search` suivante lance une tâche de recherche des visages d’une collection qui correspondent aux visages détectés dans le fichier vidéo spécifié dans un compartiment Amazon S3.
```
aws rekognition start-face-search \
--video "S3Object={Bucket=MyVideoS3Bucket,Name=MyVideoFile.mpg}" \
--collection-id collection
```
Sortie :
```
{
"JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
}
```
Pour plus d’informations, consultez [Recherche de visages dans des vidéos stockées](https://docs.aws.amazon.com/rekognition/latest/dg/procedure-person-search-videos.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, reportez-vous [StartFaceSearch](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-face-search.html)à la section *Référence des AWS CLI commandes*.
### `start-label-detection`
L'exemple de code suivant montre comment utiliser`start-label-detection`.
**AWS CLI**
**Pour détecter des objets et des scènes dans une vidéo**
La commande `start-label-detection` suivante lance une tâche de détection des objets et des scènes dans le fichier vidéo spécifié stocké dans un compartiment Amazon S3.
```
aws rekognition start-label-detection \
--video "S3Object={Bucket=MyVideoS3Bucket,Name=MyVideoFile.mpg}"
```
Sortie :
```
{
"JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
}
```
Pour plus d’informations, consultez [Détection des étiquettes dans une vidéo](https://docs.aws.amazon.com/rekognition/latest/dg/labels-detecting-labels-video.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, reportez-vous [StartLabelDetection](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-label-detection.html)à la section *Référence des AWS CLI commandes*.
### `start-person-tracking`
L'exemple de code suivant montre comment utiliser`start-person-tracking`.
**AWS CLI**
**Pour commencer à effectuer le tracé du chemin de personnes dans une vidéo stockée**
La commande `start-person-tracking` suivante lance une tâche afin d’effectuer le tracé du chemin de personnes dans le fichier vidéo spécifié stocké dans un compartiment Amazon S3 :
```
aws rekognition start-person-tracking \
--video "S3Object={Bucket=MyVideoS3Bucket,Name=MyVideoFile.mpg}"
```
Sortie :
```
{
"JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
}
```
Pour plus d’informations, consultez [Tracé du chemin de personnes](https://docs.aws.amazon.com/rekognition/latest/dg/persons.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, reportez-vous [StartPersonTracking](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-person-tracking.html)à la section *Référence des AWS CLI commandes*.
### `start-stream-processor`
L'exemple de code suivant montre comment utiliser`start-stream-processor`.
**AWS CLI**
**Pour démarrer un processeur de flux**
La commande `start-stream-processor` suivante démarre le processeur de flux vidéo spécifié.
```
aws rekognition start-stream-processor \
--name my-stream-processor
```
Cette commande ne produit aucune sortie.
Pour plus d’informations, consultez [Utilisation des vidéos streaming](https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, reportez-vous [StartStreamProcessor](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/start-stream-processor.html)à la section *Référence des AWS CLI commandes*.
### `stop-stream-processor`
L'exemple de code suivant montre comment utiliser`stop-stream-processor`.
**AWS CLI**
**Pour arrêter un processeur de flux en cours d’exécution**
La commande `stop-stream-processor` suivante arrête le processeur de flux en cours d’exécution spécifié.
```
aws rekognition stop-stream-processor \
--name my-stream-processor
```
Cette commande ne produit aucune sortie.
Pour plus d’informations, consultez [Utilisation des vidéos streaming](https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html) dans le *Guide du développeur Amazon Rekognition*.
+ Pour plus de détails sur l'API, reportez-vous [StopStreamProcessor](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/stop-stream-processor.html)à la section *Référence des AWS CLI commandes*.