接口说明

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用通用物体和场景识别 """
client.advancedGeneral(image)

""" 如果有可选参数 """
options = {}
options["baike_num"] = 5

""" 带参数调用通用物体和场景识别 """
client.advancedGeneral(image, options)

{
  "log_id": 327863200205075661,
  "result_num": 5,
  "result": [{
    "score": 0.967622,
    "root": "公众人物",
    "baike_info": {
      "baike_url": "http://baike.baidu.com/item/%E6%96%B0%E5%9E%A3%E7%BB%93%E8%A1%A3/8035884",
      "image_url": "http://imgsrc.baidu.com/baike/pic/item/91ef76c6a7efce1b27893518a451f3deb58f6546.jpg",
      "description": "新垣结衣(Aragaki Yui)，1988年6月11日出生于冲绳县那霸市。日本女演员、歌手、模特。毕业于日出高中。2001年，参加《nicola》模特比赛并获得最优秀奖。2005年，因出演现代剧《涩谷15》而作为演员出道。2006年，参演校园剧《我的老大，我的英雄》；同年，她还出版了个人首本写真集《水漾青春》。2007年，她从日出高校毕业后开始专注于演艺发展，并发表个人首张音乐专辑《天空》；同年，新垣结衣还主演了爱情片《恋空》，而她也凭借该片获得了多个电影新人奖项。2010年，主演爱情片《花水木》。2011年，主演都市剧《全开女孩》。2012年，相继参演现代剧《Legal High》、剧情片《剧场版新参者：麒麟之翼》。2013年，主演都市剧《飞翔情报室》。2014年，她主演了剧情片《黎明的沙耶》。2016年，主演爱情喜剧《逃避虽可耻但有用》，并凭借该剧获得了多个电视剧女主角奖项。2017年，主演爱情片《恋爱回旋》，凭借该片获得第60届蓝丝带奖最佳女主角；同年11月，她还凭借医疗剧《Code Blue 3》获得第94届日剧学院赏最佳女配角。"
    },
    "keyword": "新垣结衣"
  },
  {
    "score": 0.716067,
    "root": "人物-人物特写",
    "keyword": "头发"
  },
  {
    "score": 0.421281,
    "root": "商品-穿戴",
    "keyword": "围巾"
  },
  {
    "score": 0.22347,
    "root": "商品-五金",
    "keyword": "拉链"
  },
  {
    "score": 0.028031,
    "root": "商品-穿戴",
    "keyword": "脖套"
  }]
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用菜品识别 """
client.dishDetect(image)

""" 如果有可选参数 """
options = {}
options["top_num"] = 3
options["filter_threshold"] = "0.7"
options["baike_num"] = 5

""" 带参数调用菜品识别 """
client.dishDetect(image, options)

{
  "log_id": 7357081719365269362,
  "result_num": 5,
  "result": [
  {
    "calorie": "119",
    "has_calorie": true,
    "name": "酸汤鱼",
    "probability": "0.396031"
    "baike_info": {
      "baike_url": "http://baike.baidu.com/item/%E9%85%B8%E6%B1%A4%E9%B1%BC/1754055",
      "description": "酸汤鱼，是黔桂湘交界地区的一道侗族名菜，与侗族相邻的苗、水、瑶等少数民族也有相似菜肴，但其中以贵州侗族酸汤鱼最为有名，据考证此菜肴最早源于黎平县雷洞镇牙双一带。制作原料主要有鱼肉、酸汤、山仓子等香料。成菜后，略带酸味、幽香沁人、鲜嫩爽口开胃，是贵州“黔系”菜肴的代表作之一。这道菜通常先自制酸汤，之后将活鱼去掉内脏，入酸汤煮制。"
    }
  },
  {
    "calorie": "38",
    "has_calorie": true,
    "name": "原味黑鱼煲",
    "probability": "0.265432",

  },
  {
    "calorie": "144",
    "has_calorie": true,
    "name": "椒鱼片",
    "probability": "0.0998993"
  },
  {
    "calorie": "98",
    "has_calorie": true,
    "name": "酸菜鱼",
    "probability": "0.0701917"
  },
  {
    "calorie": "257.65",
    "has_calorie": true,
    "name": "柠檬鱼",
    "probability": "0.0471465"
  }]
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用logo商标识别 """
client.logoSearch(image)

""" 如果有可选参数 """
options = {}
options["custom_lib"] = "true"

""" 带参数调用logo商标识别 """
client.logoSearch(image, options)

{
  "log_id": 843411868,
  "result_num": 1,
  "result": [
    {
      "type": 0,
      "name": "科颜氏",
      "probability": 0.99998807907104,
      "location": {
        "width": 296,
        "top": 20,
        "height": 128,
        "left": 23
      }
    }
  ]
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')
brief = "{\"name\": \"宝马\",\"code\":\"666\"}"

""" 调用logo商标识别—添加 """
client.logoAdd(image, brief)

{
  "log_id": 972934653,
  "cont_sign": "217113248,419422301"
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用删除logo商标，传入参数为图片 """
client.logoDeleteByImage(image)

contSign = "8cnn32frvrr2cd901"

""" 调用删除logo商标，传入参数为图片签名 """
client.logoDeleteBySign(contSign)

{
  "log_id": 50488417
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用动物识别 """
client.animalDetect(image)

""" 如果有可选参数 """
options = {}
options["top_num"] = 3
options["baike_num"] = 5

""" 带参数调用动物识别 """
client.animalDetect(image, options)

{
  "log_id": 7392482912853822863,
  "result": [{
    "score": "0.993811",
    "name": "叉角羚",
    "baike_info": {
      "baike_url": "http://baike.baidu.com/item/%E5%8F%89%E8%A7%92%E7%BE%9A/801703",
      "description": "叉角羚(学名：Antilocapra americana)：在角的中部角鞘有向前伸的分枝，故名。体型中等，体长1-1.5米，尾长7.5-10厘米，肩高81-104厘米，成体重36-60千克，雌体比雄体小；背面为红褐色，颈部有黑色鬃毛，腹部和臀部为白色，颊面部和颈部两侧有黑色块斑；毛被下面为绒毛，上覆以粗糙、质脆的长毛，由于某些皮肤肌的作用，能使其毛被呈不同角度，以利于保暖或散热。植食。叉角羚奔跑速度非常快，最高时速达100千米。一次跳跃可达3.5-6米。善游泳。夏季组成小群活动，冬季则集结成上百只的大群。为寻找食物和水源，一年中常进行几次迁移。性机警，视觉敏锐，能看到数千米外的物体。遇险时，臀部的白色毛能立起，向同伴告警。分布于北美洲。"
    }
  },
  {
    "score": "0.000289439",
    "name": "印度羚"
  },
  {
    "score": "0.000186248",
    "name": "藏羚羊"
  },
  {
    "score": "0.000147176",
    "name": "跳羚"
  },
  {
    "score": "0.000134434",
    "name": "驯鹿"
  },
  {
    "score": "9.86555e-05",
    "name": "高鼻羚羊"
  }]
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用植物识别 """
client.plantDetect(image)

""" 如果有可选参数 """
options = {}
options["baike_num"] = 5

""" 带参数调用植物识别 """
client.plantDetect(image, options)

{
  "log_id": 1705495792822072357,
  "result": [{
    "score": 0.99979120492935,
    "name": "莲",
    "baike_info": {
      "baike_url": "http://baike.baidu.com/item/%E8%8E%B2/2717141",
      "description": "莲(Nelumbo nucifera)，又称荷、荷花、莲花、芙蕖、鞭蓉、水芙蓉、水芝、水芸、水旦、水华等，溪客、玉环是其雅称，未开的花蕾称菡萏，已开的花朵称鞭蕖，莲科，属多年生水生宿根草本植物，其地下茎称藕，能食用，叶入药，莲子为上乘补品，花可供观赏。是我国十大名花之一。是印度的国花。莲，双子叶植物，睡莲科。多年生挺水草本植物。根状茎横走，粗而肥厚，节间膨大，内有纵横通气孔道，节部缢缩。叶基生，挺出水面，盾形，直径30-90cm，波状边缘，上面深绿色，下面浅绿色。叶柄有小刺，长1-2m，挺出水面。花单生，直径10-25cm，椭圆花瓣多数，白色或粉红色；花柄长1-2m。花托在果期膨大，直径5-10cm，海绵质。坚果椭圆形和卵圆形，长1.5-2.0cm，灰褐色。种子卵圆形，长1.2-1.7cm，种皮红棕色。生于池塘、浅湖泊及稻田中。中国南北各省有自生或栽培，经济价值高。人们习惯上称种子为“莲子”、地下茎为“藕”、花托为“莲蓬”、叶为“荷叶”。"
    }
  },
  {
    "score": 0.00015144718054216,
    "name": "红睡莲"
  },
  {
    "score": 1.2172759852547e-05,
    "name": "白睡莲"
  },
  {
    "score": 6.305016540864e-06,
    "name": "延药睡莲"
  },
  {
    "score": 3.6133328649157e-06,
    "name": "华夏慈姑"
  }]
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用图像主体检测 """
client.objectDetect(image)

""" 如果有可选参数 """
options = {}
options["with_face"] = 0

""" 带参数调用图像主体检测 """
client.objectDetect(image, options)

{
  "log_id": 895582300,
  "result": {
    "width": 486,
    "top": 76,
    "left": 134,
    "height": 394
  }
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用地标识别 """
client.landmark(image)

{
  "log_id": 3450013152046070669,
  "result":
  {
    "landmark": "狮身人面像"
  }
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用果蔬识别 """
client.ingredient(image)

""" 如果有可选参数 """
options = {}
options["top_num"] = 3

""" 带参数调用果蔬识别 """
client.ingredient(image, options)

{
    "log_id": 1091287364,
    "result_num": 20,
    "result": [
        {
            "name": "非果蔬食材",
            "score": 0.99999988079071
        },
        {
            "name": "油菜",
            "score": 1.1175458780599e-8
        },
        {
            "name": "蛇果",
            "score": 7.2776291659693e-9
        },
        {
            "name": "国光苹果",
            "score": 5.6971951600815e-9
        },
        {
            "name": "海枣",
            "score": 4.2508210285064e-9
        },
        {
            "name": "琼瑶浆葡萄",
            "score": 4.1451895249622e-9
        },
        {
            "name": "京锐号辣椒",
            "score": 3.9915102334476e-9
        },
        {
            "name": "冬瓜",
            "score": 3.3611948779821e-9
        },
        {
            "name": "长江豆",
            "score": 2.9944848822794e-9
        },
        {
            "name": "黑加仑",
            "score": 2.7750137743254e-9
        },
        {
            "name": "面包果",
            "score": 2.3357531464541e-9
        },
        {
            "name": "椰子",
            "score": 1.9741890344704e-9
        },
        {
            "name": "美人瓜",
            "score": 1.9319581490151e-9
        },
        {
            "name": "莲藕",
            "score": 1.759222323372e-9
        },
        {
            "name": "黑奥林",
            "score": 1.7266311713726e-9
        },
        {
            "name": "芥菜",
            "score": 1.6180708994895e-9
        },
        {
            "name": "样芹菜",
            "score": 1.5472728653876e-9
        },
        {
            "name": "篙巴",
            "score": 1.4084827748562e-9
        },
        {
            "name": "花生",
            "score": 1.3972580870103e-9
        },
        {
            "name": "魁绿猕猴桃",
            "score": 1.3920842256709e-9
        }
    ]
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用红酒识别 """
client.redwine(image)

{
  "log_id": 3450013152046070669,
  "result":
  {
    "wineNameCn": "银色高地阙歌干红",
    "hasdetail":0
  }
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用货币识别 """
client.currency(image)

{
  "log_id": 4247844653395235754,
  "result": {
    "currencyName": "美元",
    "hasdetail": 1,
    "currencyCode": "USD",
    "year": "2001年",
    "currencyDenomination": "50美元"
  }
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用自定义菜品识别-入库 传入参数为图片"""
client.customDishesAddImage(image)

{
  "log_id": 4247844653395235754,
  "result": {
    "cont_sign": "222,333",
  }
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用自定义菜品识别-检索 传入参数为图片"""
client.customDishesSearch(image)

{
    "result_num": 2,
    "result": [
        {
            "location": {
                "left": 127,
                "top": 70,
                "width": 103,
                "height": 101
            },
            "dishes": [
                {
                    "score": 0.47976872324944,
                    "brief": "{\"name\":\"baicai\",\"id\":333}",
                    "cont_sign": "475124309,1080176642"
                }
            ]
        },
        {
            "location": {
                "left": 312,
                "top": 163,
                "width": 78,
                "height": 79
            },
            "dishes": [
                {
                    "score": 0.013810452073812,
                    "brief": "{\"name\":\"doufu\",\"id\":333}",
                    "cont_sign": "475124309,1080176642"
                }
            ]
        }
    ],
    "log_id": 1837888624
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用自定义菜品识别-删除 传入参数为图片"""
client.customDishesDeleteImage(image)


""" 调用自定义菜品识别-删除 传入参数为图片签名"""
contSign = "4261577168"
client.customDishesDeleteContSign(contSign)

{
  "log_id": 4247844653395235754,
  "result": {
    "log_id": 1837888624
  }
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用自定义菜品识别-图像多主体检测 传入参数为图片"""
client.multiObjectDetect(image)

{
  "log_id": 4160887777964368179,
    "result": [
        {
            "score": 0.8241143226623535,
            "name": "果蔬生鲜",
            "location": {
                "width": 89,
                "top": 113,
                "left": 383,
                "height": 204
            }
        },
        {
            "score": 0.8606756329536438,
            "name": "家居家纺",
            "location": {
                "width": 112,
                "top": 105,
                "left": 139,
                "height": 203
            }
        },
        {
            "score": 0.6238403916358948,
            "name": "食品饮料",
            "location": {
                "width": 67,
                "top": 125,
                "left": 491,
                "height": 176
            }
        },
        {
            "score": 0.10546552389860153,
            "name": "文化娱乐",
            "location": {
                "width": 48,
                "top": 183,
                "left": 231,
                "height": 95
            }
        },
        {
            "score": 0.7283627986907959,
            "name": "家居家电",
            "location": {
                "width": 72,
                "top": 89,
                "left": 285,
                "height": 244
            }
        }
    ]
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')
scenes = ['animal']
""" 调用组合接口API 传入参数为图片, 数组"""
client.combinationByImage(image, scenes)

""" 调用自组合接口API 传入参数为图片url, 数组"""
imageUrl ="https://www.x.com/sample.jpg"
client.combinationByImage(imageUrl, scenes)

{
    "result": {
        "plant": {
            "result": [
                {
                    "score": 0.4343205690383911,
                    "name": "非植物"
                }
            ],
            "log_id": 1888121902459717818
        },
        "animal": {
            "result": [
                {
                    "score": "0.71102",
                    "name": "松鼠猴"
                },
                {
                    "score": "0.0548481",
                    "name": "卷尾猴"
                },
                {
                    "score": "0.0444465",
                    "name": "蜘蛛猴"
                },
                {
                    "score": "0.041044",
                    "name": "金丝猴"
                },
                {
                    "score": "0.0377901",
                    "name": "长尾猴"
                },
                {
                    "score": "0.0176039",
                    "name": "长臂猿"
                }
            ],
            "log_id": 7358927584635575930
        }
    },
    "log_id": 15904950726810006
}

{
    "log_id": 15904942500190005,
    "error_msg": "service not support",
    "error_code": 216102
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用车辆识别 """
client.carDetect(image)

""" 如果有可选参数 """
options = {}
options["top_num"] = 3
options["baike_num"] = 5

""" 带参数调用车辆识别 """
client.carDetect(image, options)

{
  "log_id": 4086212218842203806,
  "location_result": {
    "width": 447,
    "top": 226,
    "height": 209,
    "left": 188
  },
  "result": [{
    "baike_info": {
      "baike_url": "http://baike.baidu.com/item/%E5%B8%83%E5%8A%A0%E8%BF%AAChiron/20419512",
      "description": "布加迪Chiron是法国跑车品牌布加迪出品的豪华超跑车。配置四涡轮增压发动机，420 公里每小时，有23种颜色的选择，售价高达260万美元。"
    },
    "score": 0.98793351650238,
    "name": "布加迪Chiron",
    "year": "无年份信息"
  },
  {
    "score": 0.0021970034576952,
    "name": "奥迪RS5",
    "year": "2011-2017"
  },
  {
    "score": 0.0021096928976476,
    "name": "奥迪RS4",
    "year": "无年份信息"
  },
  {
    "score": 0.0015581247862428,
    "name": "奥迪RS7",
    "year": "2014-2016"
  },
  {
    "score": 0.00082337751518935,
    "name": "布加迪威航",
    "year": "2004-2015"
  }],
  "color_result": "颜色无法识别"
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用车辆检测 """
client.vehicleDetect(image)

""" 如果有可选参数 """
options = {}
options["show"] = "false"
options["area"] = "x1,y1,x2,y2,x3,y3...xn,yn"

""" 带参数调用车辆检测 """
client.vehicleDetect(image, options)

{
    "vehicle_num":
    {
        "car":0,
        "truck":0,
        ...
        "tricycle":0
    },
    "vehicle_info":[]
}

{
    "vehicle_num":
    {
        "car":2,
        "truck":1,

        ...

        "tricycle":0

    },

    "vehicle_info":
    [
        {
            "ID":0
            "location":
            {
                "left": 100,
                "top": 200,
                "width": 200,
                "height": 400,
             }
            "type": "car"
        },
        {
            "ID": 1
            "location":
            {
                "left": 400,
                "top": 200,
                "width": 200,
                "height": 400,
             }
            "type": "car"
         },
         {
            "ID": 2
            "location":
            {
                "left": 600,
                "top": 200,
                "width": 300,
                "height": 400,
             }
            "type": "truck"
         }
    ]
}

""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('example.jpg')

""" 调用车辆外观损伤识别 """
client.vehicleDamage(image)

    {
      "description":"No car detected !",
      "damage_info":[]
    }

    {
      "description":"Failed[散落部件][0.303969]",
      "damage_info":[]
    }

    {
      "description":"Very good[车辆局部特写图][1.000000]",
      "damage_info":[
      {
        "parts":前保险杠,
        "probability":89,
        "type":刮擦
      },
      {
        "parts":左前叶子板,
        "probability":74,
        "type":凹陷
      }
      ]
    }

    {
      "description":"Very good[车辆局部特写图][1.000000]",
      "damage_info":[
      {
        "numeric_info":[
        {
          "area":3.540100097656250,
          "height":5.260000228881836,
          "ratio":0.04069080576300621,
          "width":1.139999985694885
        }
        ],
        "parts":前保险杠,
        "probability":95,
        "type":刮擦,
        "numeric_info":[
        {
          "area":2.418999910354614,
          "height":2.750,
          "ratio":0.08458041399717331,
          "width":1.460000038146973
        }
        ],
        "parts":左前叶子板,
        "probability":84,
        "type":刮擦
      }
      ]
    }