Using PIP Python Package
iApp Technology just released a PIP Python Package on Face Detection.
For easing the python development using iApp AI API service, we have released the iapp_ai python pip package. It is the api client library for iApp AI API service for python.

Installation

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$ pip install iapp_ai
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Note: It can be either pip or pip3 depend on your environment.

Calling Face Detection API

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# Face Detection API required an image file path
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# Single Face Detection
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api.face_detect_single("iapp_ai/media/passport.jpg", "iApp").json()
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# Multiple Face Detection
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api.face_detect_multi("iapp_ai/media/passport.jpg", "iApp").json()
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Example Usages

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import iapp_ai
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pyt
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# You can request API key at https://ai.iapp.co.th
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apikey = 'XXXXX_Your_API_Key_XXXXX'
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api = iapp_ai.api(apikey)
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# Face Detection API required an image file path
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# Single Face Detection
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result = api.face_detect_single("iapp_ai/media/passport.jpg", "iApp").json()
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print(result)
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# {
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# 'bbox': {'xmax': 202.30653381347656,
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# 'xmin': 81.03941345214844,
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# 'ymax': 364.5769958496094,
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# 'ymin': 216.234130859375},
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# 'detection_score': 0.999946117401123,
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# 'face': 'data:image/png;base64, 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',
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# 'feature': '[0.0063276035, 0.053983275, 0.063125744, -0.056844063, 0.0109783085, -0.040525876, 0.0012875537, 0.008345665, 0.04152181, -0.0059968955, 0.003957388, 0.025650345, 0.0139219705, 0.054407857, 0.085155495, 0.060351763, 0.010360959, 0.11966012, 0.10008971, 0.0754888, -0.04961645, -0.017568769, 0.02722117, -0.0074627106, -0.001852635, -0.058803983, 0.06311055, 0.0003803191, 0.02154163, 0.021787355, 0.016615985, -0.00010560776, -0.026270524, 0.055930384, 0.04163311, -0.01463029, 0.0069261454, -0.02030536, 0.12834539, 0.031990923, 0.046556417, 0.05767328, -0.04347385, -0.021849237, -0.042204294, 0.017241253, 0.022834962, -0.01561912, 0.03373753, 0.07497015, 0.046285175, -0.05970527, 0.017042136, -0.07286729, 0.0493543, 0.12468433, -0.022261368, 0.025134344, -0.107936986, -0.030413022, -0.06870085, -0.00877329, -0.06441421, -0.00012654591, -0.035477724, 0.007739441, 0.027253427, -0.030975347, 0.10033078, 0.092037395, -0.03542829, -0.011367502, -0.0010421318, 0.012088898, 0.03448258, 0.0665386, -0.017977562, 0.0136662945, -0.049114566, -0.011942528, -0.0094365515, -0.0018772021, -0.004239277, 0.010784469, -0.06699133, -0.06455332, 0.00073150743, 0.0074654045, 0.008003496, -0.03481075, -0.04029029, 0.007954266, 0.021139506, -0.026849546, 0.074273676, -0.033621877, -0.010842816, -0.051575862, 0.048840117, 0.001417258, 0.048228677, -0.035117816, -0.029609835, -0.020305736, -0.021421699, -0.035684496, -0.03885661, 0.030015973, 0.082972035, -0.0042267353, -0.021044193, 0.066834636, -0.03469954, -0.030781196, 0.0022335069, 0.1270456, 0.0137245385, 0.15907766, -0.033364095, -0.018152528, 0.05314111, -0.003793487, 0.05951645, -0.040761158, -0.019168075, 0.018007794, 0.05514791, -0.005754659, 0.01423506, 0.016516466, 0.019224081, 0.008454211, 0.05327612, 0.02277847, 0.0034147084, 0.019097438, -0.08441977, -0.060508907, -0.065536655, -0.007349361, -0.030036958, -0.029433215, -0.029049903, -0.011782274, 0.05701369, 0.08467278, 0.020804837, 0.01307125, 0.040415164, 0.010958562, -0.055431098, -0.05504812, -0.043048322, 0.013210876, -0.015592378, 0.038080323, 0.034006, -0.03849802, -0.0125254765, -0.016955223, 0.011559768, 0.05137864, 0.016504, -0.0048203375, 0.019223273, -0.009550119, 0.046902083, 0.040686615, -0.034054615, 0.051882785, 0.05217705, -0.04129343, -0.035980813, 0.031534906, 0.026131846, -0.012367606, -0.030757258, 0.05486598, -0.02448148, -0.04665106, 0.01828044, -0.09085556, -0.08484297, -0.013877999, -0.036102396, -0.015248968, 0.029470235, 0.024446411, -0.022840844, -0.012136167, -0.018062118, -0.027884051, -0.06489081, 0.085634954, 0.020452205, -0.006561045, -0.024856992, 0.004637928, -0.006405105, -0.01462166, 0.012704767, 0.046187192, 0.036308825, 0.012694416, -0.075260185, -0.009790872, 0.01282923, 0.029497974, -0.0009382374, -0.057217564, 0.0658865, -0.0023279705, -0.062155154, 0.01214691, 0.024090242, 0.0008757728, 0.069366015, -0.0011863243, 0.016879799, -0.08465692, 0.014432098, 0.082603745, -0.060773, 0.014493894, -0.027728306, 0.02107615, 0.03653175, 0.021332359, -0.04957853, -0.03750799, -0.007468785, 0.0012279688, -0.0020513216, -0.048382897, 0.017960066, -0.016702356, 0.008800819, -0.013999585, 0.06373657, 0.035269875, 0.019515472, 0.067801714, -0.027139954, -0.078743614, -0.01197983, -0.070175536, 0.05790272, 0.031720188, 0.09798714, -0.013310343, 0.025984352, -0.08676428, 0.025835194, -0.14913501, -0.07980938, 0.03598623, 0.010138265, -0.03400452, -0.039828096, 0.10584596, 0.0418714, 0.15902533, -0.025175085, -0.039142665, 0.028224213, -0.028625725, 0.004500028, -0.049896102, -0.008069439, 0.0015273502, 0.041708376, 0.023278538, 0.012453838, 0.043058015, -0.015010842, 0.0189333, 0.02621659, -0.005739998, -0.027457101, -0.02467957, 0.023525339, -0.06303592, -0.008806731, -0.0135002, 0.03337285, 0.054534834, -0.003940834, -0.10234543, 0.013610075, -0.06744252, -0.011793139, 0.07228289, 0.026034383, 0.05934227, 0.044561204, 0.019254846, -0.0019372287, 0.065131634, -0.032636475, -0.088215284, 0.013153989, 0.033833057, 0.022945987, 0.016966943, -0.02011053, 0.011575376, 0.14879377, -0.053256318, 0.023777744, 0.027230736, -0.009217143, -0.011830901, 0.05426472, 0.010138674, -0.00825669, 0.019246083, -0.116777055, -0.03204186, -0.032178417, 0.041687213, 0.00019369891, -0.013156113, -0.01707479, -0.014379648, 0.003219756, -0.08542844, -0.04636838, -0.0029342282, -0.046159495, 0.038572017, 0.01842285, -0.008210503, 0.022271428, -0.034155495, -0.081111975, -0.048439585, -0.022247499, -0.019479426, 0.06968661, 0.025680823, 0.01483123, 0.00957946, -0.0025748569, 0.024480158, 0.030733034, 0.042256027, -0.018409448, -0.046152335, 0.014184156, 0.014586217, -0.032225303, 0.033276416, -0.040447272, 0.0050696903, -0.017561095, -0.009057828, 0.05951917, 0.062654056, 0.02115753, 0.017284196, 0.008959862, 0.058367718, -0.022914348, 0.041434933, 0.04839469, 0.017174803, 0.035229083, 0.045011166, 0.06513083, 0.017239988, -0.010680714, 0.06470559, -0.0020524971, 0.0008605413, -0.038470805, -0.07628435, -0.021233259, 0.022532037, 0.011590282, 0.0471679, 0.050213087, 0.0076270252, 0.023247149, -0.035765976, -0.0014759209, -0.016876588, -0.0018280044, 0.038875002, -0.012608958, 0.06054578, -0.056557864, 0.012904948, 0.005236871, 0.020842338, -0.0017376392, -0.020128727, -0.0052872426, -0.040372387, -0.03479772, -0.010211749, -0.021454861, -0.010326897, 0.053775255, 0.0708657, 0.018716356, -0.010622834, -0.07617544, -0.07416672, 0.02887851, 0.083552316, -0.0060893456, -0.0016917089, 0.053091414, 0.03637651, 0.010084122, -0.0038817707, 0.0016471734, -0.014976292, -0.068694234, -0.012521478, -0.033106763, -0.008906273, -0.082064666, -0.043096025, 0.02691883, -0.036090866, 0.02953827, -0.066514514, -0.010517482, 0.010631036, -0.058388032, 0.0024267652, 0.023966625, -0.03373325, 0.05421644, 0.005159949, 0.07575098, -0.05992013, 0.010373781, 0.031364575, -0.015374243, 0.023807792, 0.008550016, -0.043948993, -0.031233124, -0.049397808, -0.034005854, -0.0147502925, 0.017966965, -0.054431155, -0.024977667, -0.0052783643, 0.0067303884, 0.065724045, -0.020694327, 0.010488514, 0.056008566, 0.08008653, -0.02447237, 0.014966813, -0.0016027731, -0.022245575, -0.0077517214, 0.0047056405, -0.03039826, -0.011671708, 0.019239692, 0.14256664, -0.010456125, 0.03938853, -0.011526102, 0.03256885, 0.006480175, 0.04029494, 0.092870876, 0.0048286337, -0.011494458, -0.03439038, -0.009581201, 0.016784936, 0.010412918, -0.0027428768, 0.025990466, 0.13621943, -0.055987593, -0.019557914, 0.026582958, -0.04743681, 0.03566752, -0.010194367, 0.07319426, -0.04876895, -0.023200953, 0.004854468, 0.028626664, 0.07185032, 0.0643467, -0.024008647, -0.020126175, 0.03356395, -0.00067361287, 0.027355794, 0.038464557, 0.014856804, -0.06386498, 0.03894236, -0.035060845, 0.063157685, -0.07032134, 0.008308251, -0.08266254, 0.02515444]',
22
# 'message': 'successfully performed',
23
# 'process_time': 0.13691496849060059
24
# }
25
26
# Multiple Face Detection
27
result = api.face_detect_multi("iapp_ai/media/passport.jpg", "iApp").json()
28
print(result)
29
30
# {
31
# 'message': 'successfully performed',
32
# 'process_time': 0.12974238395690918,
33
# 'result': [{'bbox': {'xmax': 202.30653381347656,
34
# 'xmin': 81.03941345214844,
35
# 'ymax': 364.5769958496094,
36
# 'ymin': 216.234130859375},
37
# 'detection_score': 0.999946117401123,
38
# 'face': 'data:image/png;base64, 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40
# }
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