我对Raspberry Pi和Python编码很陌生，但我成功配置了Google Cloud Vision。但是JSON转储看起来像：
{
"responses": [
{
"faceAnnotations": [
{
"angerLikelihood": "UNLIKELY",
"blurredLikelihood": "VERY_UNLIKELY",
"boundingPoly": {
"vertices": [
{
"x": 129
},
{
"x": 370
},
{
"x": 370,
"y": 240
},
{
"x": 129,
"y": 240
}
]
},
"detectionConfidence": 0.99543685,
"fdBoundingPoly": {
"vertices": [
{
"x": 162,
"y": 24
},
{
"x": 337,
"y": 24
},
{
"x": 337,
"y": 199
},
{
"x": 162,
"y": 199
}
]
},
"headwearLikelihood": "VERY_UNLIKELY",
"joyLikelihood": "VERY_UNLIKELY",
"landmarkingConfidence": 0.77542377,
"landmarks": [
{
"position": {
"x": 210.93373,
"y": 92.71409,
"z": -0.00025338508
},
"type": "LEFT_EYE"
},
{
"position": {
"x": 280.00177,
"y": 82.57283,
"z": 0.49017733
},
"type": "RIGHT_EYE"
},
{
"position": {
"x": 182.08047,
"y": 77.89372,
"z": 6.825161
},
"type": "LEFT_OF_LEFT_EYEBROW"
},
{
"position": {
"x": 225.82335,
"y": 72.88091,
"z": -13.963233
},
"type": "RIGHT_OF_LEFT_EYEBROW"
},
{
"position": {
"x": 260.4491,
"y": 66.19005,
"z": -13.798634
},
"type": "LEFT_OF_RIGHT_EYEBROW"
},
{
"position": {
"x": 303.87503,
"y": 59.69522,
"z": 7.8336163
},
"type": "RIGHT_OF_RIGHT_EYEBROW"
},
{
"position": {
"x": 244.57729,
"y": 83.701904,
"z": -15.022567
},
"type": "MIDPOINT_BETWEEN_EYES"
},
{
"position": {
"x": 251.58353,
"y": 124.68004,
"z": -36.52176
},
"type": "NOSE_TIP"
},
{
"position": {
"x": 255.39096,
"y": 151.87607,
"z": -19.560472
},
"type": "UPPER_LIP"
},
{
"position": {
"x": 259.96045,
"y": 178.62886,
"z": -14.095398
},
"type": "LOWER_LIP"
},
{
"position": {
"x": 232.35422,
"y": 167.2542,
"z": -1.0750997
},
"type": "MOUTH_LEFT"
},
{
"position": {
"x": 284.49316,
"y": 159.06075,
"z": -0.078973025
},
"type": "MOUTH_RIGHT"
},
{
"position": {
"x": 256.94714,
"y": 163.11235,
"z": -14.0897665
},
"type": "MOUTH_CENTER"
},
{
"position": {
"x": 274.47885,
"y": 125.8553,
"z": -7.8479633
},
"type": "NOSE_BOTTOM_RIGHT"
},
{
"position": {
"x": 231.2164,
"y": 132.60686,
"z": -8.418254
},
"type": "NOSE_BOTTOM_LEFT"
},
{
"position": {
"x": 252.96692,
"y": 135.81783,
"z": -19.805998
},
"type": "NOSE_BOTTOM_CENTER"
},
{
"position": {
"x": 208.6943,
"y": 86.72571,
"z": -4.8503814
},
"type": "LEFT_EYE_TOP_BOUNDARY"
},
{
"position": {
"x": 223.4354,
"y": 90.71454,
"z": 0.42966545
},
"type": "LEFT_EYE_RIGHT_CORNER"
},
{
"position": {
"x": 210.67189,
"y": 96.09362,
"z": -0.62435865
},
"type": "LEFT_EYE_BOTTOM_BOUNDARY"
},
{
"position": {
"x": 195.00711,
"y": 93.783226,
"z": 6.6310787
},
"type": "LEFT_EYE_LEFT_CORNER"
},
{
"position": {
"x": 208.30045,
"y": 91.73073,
"z": -1.7749802
},
"type": "LEFT_EYE_PUPIL"
},
{
"position": {
"x": 280.8329,
"y": 75.722244,
"z": -4.3266015
},
"type": "RIGHT_EYE_TOP_BOUNDARY"
},
{
"position": {
"x": 295.9134,
"y": 78.8241,
"z": 7.3644505
},
"type": "RIGHT_EYE_RIGHT_CORNER"
},
{
"position": {
"x": 281.82813,
"y": 85.56999,
"z": -0.09711724
},
"type": "RIGHT_EYE_BOTTOM_BOUNDARY"
},
{
"position": {
"x": 266.6147,
"y": 83.689865,
"z": 0.6850431
},
"type": "RIGHT_EYE_LEFT_CORNER"
},
{
"position": {
"x": 282.31485,
"y": 80.471725,
"z": -1.3341979
},
"type": "RIGHT_EYE_PUPIL"
},
{
"position": {
"x": 202.4563,
"y": 66.06882,
"z": -8.493092
},
"type": "LEFT_EYEBROW_UPPER_MIDPOINT"
},
{
"position": {
"x": 280.76108,
"y": 54.08935,
"z": -7.895889
},
"type": "RIGHT_EYEBROW_UPPER_MIDPOINT"
},
{
"position": {
"x": 168.31839,
"y": 134.46411,
"z": 89.73161
},
"type": "LEFT_EAR_TRAGION"
},
{
"position": {
"x": 332.23724,
"y": 109.35637,
"z": 90.81501
},
"type": "RIGHT_EAR_TRAGION"
},
{
"position": {
"x": 242.81676,
"y": 67.845825,
"z": -16.629877
},
"type": "FOREHEAD_GLABELLA"
},
{
"position": {
"x": 264.32065,
"y": 208.95119,
"z": -4.0186276
},
"type": "CHIN_GNATHION"
},
{
"position": {
"x": 183.4723,
"y": 179.30655,
"z": 59.87147
},
"type": "CHIN_LEFT_GONION"
},
{
"position": {
"x": 331.6927,
"y": 156.69931,
"z": 60.93835
},
"type": "CHIN_RIGHT_GONION"
}
],
"panAngle": 0.41165036,
"rollAngle": -8.687789,
"sorrowLikelihood": "VERY_UNLIKELY",
"surpriseLikelihood": "VERY_UNLIKELY",
"tiltAngle": 0.2050134,
"underExposedLikelihood": "POSSIBLE"
}
]
}
]
}
是的，这是一个值得关注的眼睛。我只是想提取可能性。最好采用以下格式：
Anger likelihood is UNLIKEY
Joy likelihood is VERY_UNLIKELY
Sorrow likelihood is VERY_UNLIKELY
Suprise likelihood is VERY_UNLIKELY
Python代码可以在这里找到： https://github.com/DexterInd/GoogleVisionTutorials/blob/master/camera-vision-face.py
答案 0 :(得分：0)
你可以使用字典理解。假设您在变量result中得到了响应，则以下代码将完全输出您想要的内容。
import json
likelihood = {
attr[:len(attr) - 10].capitalize(): value
for attr, value
in json.loads(result)['responses'][0]['faceAnnotations'][0].items()
if attr.find('Likelihood') != -1
}
print(*[
'{} likelihood is {}'.format(e, p) for e, p in likelihood.items()
], sep='\n')
请注意，如果responses和faceAnnotations数组中只有一个项目，则此代码可以正常工作。如果还有更多，代码将只处理第一项。它也有点难看。
在len(attr) - 10中，10是“可能性”一词的长度。
答案 1 :(得分：0)
或许以最无耻的方式回答我自己的问题：
print "Anger likelihood is:",
print(response['responses'][0]['faceAnnotations'][0]['angerLikelihood'])
print "Joy likelihood is:",
print(response['responses'][0]['faceAnnotations'][0]['joyLikelihood'])
print "Sorrow likelihood is:",
print(response['responses'][0]['faceAnnotations'][0]['sorrowLikelihood'])
print "Surprise likelihood is:",
print(response['responses'][0]['faceAnnotations'][0]['surpriseLikelihood'])
看起来像：
Anger likelihood is: VERY_UNLIKELY
Joy likelihood is: VERY_LIKELY
Sorrow likelihood is: VERY_UNLIKELY
Surprise likelihood is: VERY_UNLIKELY