Ada lebih banyak AWS SDK contoh yang tersedia di GitHub repo SDKContoh AWS Dokumen
Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris.
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 adalah 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.
Topik
Tindakan
Contoh kode berikut menunjukkan cara menggunakancompare-faces
.
Untuk informasi selengkapnya, lihat Membandingkan wajah dalam gambar.
- 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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat CompareFaces
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakancreate-collection
.
Untuk informasi selengkapnya, lihat Membuat koleksi.
- 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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat CreateCollection
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakancreate-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-arnarn: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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat CreateStreamProcessor
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakandelete-collection
.
Untuk informasi selengkapnya, lihat Menghapus koleksi.
- 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 Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat DeleteCollection
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakandelete-faces
.
Untuk informasi selengkapnya, lihat Menghapus wajah dari koleksi.
- 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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat DeleteFaces
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakandelete-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat DeleteStreamProcessor
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakandescribe-collection
.
Untuk informasi selengkapnya, lihat Menjelaskan koleksi.
- 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 Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat DescribeCollection
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakandescribe-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat DescribeStreamProcessor
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakandetect-faces
.
Untuk informasi selengkapnya, lihat Mendeteksi wajah dalam gambar.
- 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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat DetectFaces
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakandetect-labels
.
Untuk informasi selengkapnya, lihat Mendeteksi label dalam gambar.
- 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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat DetectLabels
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakandetect-moderation-labels
.
Untuk informasi selengkapnya, lihat Mendeteksi gambar yang tidak pantas.
- 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 Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat DetectModerationLabels
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakandetect-text
.
Untuk informasi selengkapnya, lihat Mendeteksi teks dalam gambar.
- 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 API detailnya, lihat DetectText
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakandisassociate-faces
.
- AWS CLI
-
aws rekognition disassociate-faces --face-ids list-of-face-ids --user-id user-id --collection-id collection-name --region region-name
-
Untuk API detailnya, lihat DisassociateFaces
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanget-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 kerecognize-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat GetCelebrityInfo
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanget-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat GetCelebrityRecognition
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanget-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 meneleponstart-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 Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat GetContentModeration
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanget-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 meneleponstart-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat GetFaceDetection
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanget-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 meneleponstart-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat GetFaceSearch
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanget-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 meneleponstart-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat GetLabelDetection
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanget-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 meneleponstart-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat GetPersonTracking
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanindex-faces
.
Untuk informasi selengkapnya, lihat Menambahkan wajah ke koleksi.
- 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-idMyCollection
\ --max-faces1
\ --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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat IndexFaces
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanlist-collections
.
Untuk informasi selengkapnya, lihat Daftar koleksi.
- 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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat ListCollections
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanlist-faces
.
Untuk informasi selengkapnya, lihat Daftar wajah dalam koleksi.
- 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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat ListFaces
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanlist-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat ListStreamProcessors
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanrecognize-celebrities
.
Untuk informasi selengkapnya, lihat Mengenali selebriti dalam sebuah gambar.
- 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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat RecognizeCelebrities
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakansearch-faces-by-image
.
Untuk informasi selengkapnya, lihat Mencari wajah (gambar).
- 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-idMyFaceImageCollection
{
"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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat SearchFacesByImage
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakansearch-faces
.
Untuk informasi selengkapnya, lihat Mencari wajah (ID wajah).
- 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-idMyCollection
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 di Panduan Pengembang Amazon Rekognition.
-
Untuk API detailnya, lihat SearchFaces
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanstart-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat StartCelebrityRecognition
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanstart-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 Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat StartContentModeration
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanstart-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat StartFaceDetection
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanstart-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 collectionOutput:
{ "JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef" }
Untuk informasi selengkapnya, lihat Mencari Video Tersimpan untuk Wajah di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat StartFaceSearch
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanstart-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat StartLabelDetection
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanstart-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat StartPersonTracking
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanstart-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat StartStreamProcessor
di Referensi AWS CLI Perintah.
-
Contoh kode berikut menunjukkan cara menggunakanstop-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 di Panduan Pengembang Rekognition Amazon.
-
Untuk API detailnya, lihat StopStreamProcessor
di Referensi AWS CLI Perintah.
-