These are helpful utilities for image processing using Azure resources:
1. Vectorize images: Sample code and output follow:
Output: Vector embedding: [-1.0224609, -1.3076172,...
2. Analyze images Sample code and output follow:
Output:
Image analysis results:
Caption: 'a building with a road and trees', Confidence: 0.5844
{
"modelVersion": "2023-10-01",
"captionResult": {
"text": "a building with a road and trees",
"confidence": 0.5844066143035889
},
"denseCaptionsResult": {
"values": [
{
"text": "a building with a road and trees",
"confidence": 0.5844066143035889,
"boundingBox": {
"x": 0,
"y": 0,
"w": 1920,
"h": 1080
}
},
{
"text": "a building with a roof and trees",
"confidence": 0.5829769968986511,
"boundingBox": {
"x": 929,
"y": 171,
"w": 938,
"h": 884
}
},
{
"text": "a tree shadow on the road",
"confidence": 0.6864767074584961,
"boundingBox": {
"x": 332,
"y": 0,
"w": 255,
"h": 1062
}
},
{
"text": "a top view of a building",
"confidence": 0.7406209707260132,
"boundingBox": {
"x": 962,
"y": 189,
"w": 887,
"h": 332
}
},
{
"text": "a blurry image of a person's arm",
"confidence": 0.7104462385177612,
"boundingBox": {
"x": 1634,
"y": 328,
"w": 54,
"h": 63
}
},
{
"text": "a building with a roof and a road and trees",
"confidence": 0.5697128176689148,
"boundingBox": {
"x": 0,
"y": 0,
"w": 1890,
"h": 1056
}
},
{
"text": "a tree in a park",
"confidence": 0.6157793402671814,
"boundingBox": {
"x": 848,
"y": 444,
"w": 503,
"h": 619
}
},
{
"text": "a close up of a plant",
"confidence": 0.6476104855537415,
"boundingBox": {
"x": 943,
"y": 930,
"w": 206,
"h": 146
}
},
{
"text": "a tree and grass field",
"confidence": 0.5954487919807434,
"boundingBox": {
"x": 4,
"y": 0,
"w": 319,
"h": 1070
}
},
{
"text": "a close up of a window",
"confidence": 0.7861047387123108,
"boundingBox": {
"x": 1633,
"y": 419,
"w": 83,
"h": 76
}
}
]
},
"metadata": {
"width": 1920,
"height": 1080
},
"tagsResult": {
"values": [
{
"name": "outdoor",
"confidence": 0.9880061149597168
},
{
"name": "building",
"confidence": 0.93121337890625
},
{
"name": "urban design",
"confidence": 0.9306544065475464
},
{
"name": "map",
"confidence": 0.9177150726318359
},
{
"name": "aerial photography",
"confidence": 0.8905916213989258
},
{
"name": "intersection",
"confidence": 0.8808201551437378
},
{
"name": "junction",
"confidence": 0.8713006973266602
},
{
"name": "aerial",
"confidence": 0.8662087917327881
},
{
"name": "tree",
"confidence": 0.8520137667655945
},
{
"name": "infrastructure",
"confidence": 0.8460453748703003
},
{
"name": "house",
"confidence": 0.8455849885940552
},
{
"name": "suburb",
"confidence": 0.8436774015426636
},
{
"name": "transport corridor",
"confidence": 0.841437578201294
},
{
"name": "street",
"confidence": 0.7220888137817383
}
]
},
"objectsResult": {
"values": [
{
"boundingBox": {
"x": 961,
"y": 18,
"w": 941,
"h": 1055
},
"tags": [
{
"name": "building",
"confidence": 0.551
}
]
}
]
},
"readResult": {
"blocks": []
},
"smartCropsResult": {
"values": [
{
"aspectRatio": 1.96,
"boundingBox": {
"x": 80,
"y": 135,
"w": 1760,
"h": 900
}
}
]
},
"peopleResult": {
"values": [
{
"boundingBox": {
"x": 1033,
"y": 0,
"w": 54,
"h": 78
},
"confidence": 0.11555740237236023
},
{
"boundingBox": {
"x": 1706,
"y": 0,
"w": 38,
"h": 28
},
"confidence": 0.044786710292100906
},
{
"boundingBox": {
"x": 1764,
"y": 702,
"w": 72,
"h": 107
},
"confidence": 0.018947092816233635
},
{
"boundingBox": {
"x": 1617,
"y": 4,
"w": 26,
"h": 32
},
"confidence": 0.01635269820690155
},
{
"boundingBox": {
"x": 1897,
"y": 997,
"w": 20,
"h": 80
},
"confidence": 0.014565806835889816
},
{
"boundingBox": {
"x": 1174,
"y": 264,
"w": 65,
"h": 138
},
"confidence": 0.009904739446938038
},
{
"boundingBox": {
"x": 1570,
"y": 0,
"w": 19,
"h": 26
},
"confidence": 0.00963284820318222
},
{
"boundingBox": {
"x": 975,
"y": 812,
"w": 23,
"h": 56
},
"confidence": 0.007403235416859388
},
{
"boundingBox": {
"x": 1892,
"y": 256,
"w": 25,
"h": 89
},
"confidence": 0.0058165849186480045
},
{
"boundingBox": {
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"y": 1006,
"w": 92,
"h": 71
},
"confidence": 0.005636707879602909
},
{
"boundingBox": {
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"w": 49,
"h": 28
},
"confidence": 0.005567244254052639
},
{
"boundingBox": {
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"w": 64,
"h": 60
},
"confidence": 0.00508015975356102
},
{
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"y": 672,
"w": 72,
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},
"confidence": 0.004823194816708565
},
{
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},
"confidence": 0.00384620507247746
},
{
"boundingBox": {
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},
"confidence": 0.003768299473449588
},
{
"boundingBox": {
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"w": 115,
"h": 86
},
"confidence": 0.003688311204314232
},
{
"boundingBox": {
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"w": 45,
"h": 77
},
"confidence": 0.0035305204801261425
},
{
"boundingBox": {
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"w": 42,
"h": 69
},
"confidence": 0.0028348765335977077
},
{
"boundingBox": {
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},
"confidence": 0.0027336280327290297
},
{
"boundingBox": {
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"w": 36,
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},
"confidence": 0.002365714870393276
},
{
"boundingBox": {
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},
"confidence": 0.00231865793466568
},
{
"boundingBox": {
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"w": 33,
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},
"confidence": 0.001977135194465518
},
{
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},
"confidence": 0.0019341635052114725
},
{
"boundingBox": {
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},
"confidence": 0.0017207009950652719
},
{
"boundingBox": {
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"w": 58,
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},
"confidence": 0.0017095959046855569
},
{
"boundingBox": {
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"w": 50,
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},
"confidence": 0.0014758453471586108
},
{
"boundingBox": {
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},
"confidence": 0.001272828783839941
},
{
"boundingBox": {
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},
"confidence": 0.001130886492319405
},
{
"boundingBox": {
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},
"confidence": 0.0010053350124508142
}
]
}
}
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