# datetime:2019/9/24 20:52
# software: PyCharm
from aip import AipImageClassify
filepath = "E:/Python/WordToAudio/result/audio_2.mp3"
app_id = "17334738"
api_key = "0q8ZjM8YU0sKPfh8bgIoM8z1"
secret_key = "ODOKp05YaEO7CKv604HrINA6FVR9POky"
client = AipImageClassify(app_id, api_key, secret_key)
""" 读取图片 """
def get_file_content(filePath):
with open(filePath, 'rb') as fp:
return fp.read()
image = get_file_content('../row_data/frist.jpg')
""" 调用食材识别 """
data = client.ingredient(image)
print(data)
""" 如果有可选参数 """
options = {}
options["top_num"] = 3
""" 带参数调用食材识别 """
client.ingredient(image, options)
if __name__ == '__main__':
pass
def BaiDu_image_recognize(file_path, recognize_type):
"""
图像识别
:param file_path: 文件路径
:param recognize_type: 识别类型，共12种：
1. 通用图像识别
2. 菜品识别
3. 车辆识别
4. logo商标识别
5. 动物识别
6. 植物识别
7. 图像主体检测
8. 地标识别
9. 食材识别
10. 红酒识别
11. 货币识别
:return:
"""
# TODO 隐私信息
""" 你的 APP_ID API_KEY SECRET_KEY """
app_id = '23899102' # '你的 App ID'
api_key = 'GKHIEq6gVOfp2AeRxfUopSDM' # '你的 Api Key'
secret_key = 'dLrlMlGemQ1oan2OS8GogLDD0dt1HuVI' # '你的 Secret Key'
# 获取百度云操作类对象
client = AipImageClassify(app_id, api_key, secret_key)
image = get_file_content(file_path)
# """ 调用通用物体识别 """
# result = client.dishDetect(image)
# print(result)
""" 如果有可选参数 """
options = {"baike_num": 5}
""" 带参数调用通用物体识别 """
if recognize_type == 1: # 通用图像识别
response = client.advancedGeneral(image, options)
elif recognize_type == 2: # 菜品识别
response = client.dishDetect(image, options)
elif recognize_type == 3: # 车辆识别
response = client.carDetect(image, options)
elif recognize_type == 4: # logo商标识别
response = client.logoSearch(image)
elif recognize_type == 5: # 动物识别
response = client.animalDetect(image, options)
elif recognize_type == 6: # 植物识别
response = client.plantDetect(image, options)
elif recognize_type == 7: # 图像主体检测
response = client.objectDetect(image)
elif recognize_type == 8: # 地标识别
response = client.landmark(image)
# 花卉识别已经移除
# elif recognize_type == 9: # 花卉识别
# response = client.flower(image)
elif recognize_type == 9: # 食材识别
response = client.ingredient(image, options)
elif recognize_type == 10: # 红酒识别
response = client.redwine(image)
elif recognize_type == 11: # 货币识别
response = client.currency(image)
else:
response = None
response = response['result'][0]
return response
