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在 Watson Studio 中，我正在 Jupyter Notebook 中编写代码以使用 Watson Visual Recognition 自定义模型。它适用于外部图像。我还无法引用已上传到项目资产中的图像。资产的 url 到达整页，而不仅仅是图像： https ://dataplatform.ibm.com/projects/2f4b89d9-b93a-4c98-a327-9b863a467b7c/data-assets/ed16c385-e09e-4bcb-bfab-67ee864538e4 /?上下文=数据

谢谢

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1 回答 1

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在 Watson 中，资产文件保存在 Cloud Object Store 或 COS 中。您必须将图像从 COS 下载到笔记本服务器文件系统，然后您可以将笔记本中的文件作为常规本地文件引用。

我使用 cos api 来获取文件。https://github.com/IBM/ibm-cos-sdk-python。

https://console.bluemix.net/docs/services/cloud-object-storage/libraries/python.html#using-python

首先，找出您的凭据是什么

  1. 突出显示笔记本单元格，
  2. 点击数据菜单，
  3. 选择文件，
  4. “插入代码”
  5. 凭据。

然后，您可以使用 API 将文件下载到本地磁盘存储。例如，从 COS 下载文件：

# The following code contains the credentials for a file in your IBM Cloud Object Storage. 
# You might want to remove those credentials before you share your notebook.
credentials_1 = {
    'IBM_API_KEY_ID': '**************************************',
    'IAM_SERVICE_ID': 'iam-ServiceId-**************************',
    'ENDPOINT': 'https://s3-api.us-geo.objectstorage.service.networklayer.com',
    'IBM_AUTH_ENDPOINT': 'https://iam.ng.bluemix.net/oidc/token',
    'BUCKET': '********************************',
    'FILE': 'file.xlsx'
}

from ibm_botocore.client import Config
import ibm_boto3
def download_file_cos(credentials, local_file_name, key):  
    cos = ibm_boto3.client(service_name='s3',
    ibm_api_key_id=credentials['IBM_API_KEY_ID'],
    ibm_service_instance_id=credentials['IAM_SERVICE_ID'],
    ibm_auth_endpoint=credentials['IBM_AUTH_ENDPOINT'],
    config=Config(signature_version='oauth'),
    endpoint_url=credentials['ENDPOINT'])
    try:
        res=cos.download_file(Bucket=credentials['BUCKET'], Key=key, Filename=local_file_name)
    except Exception as e:
        print(Exception, e)
    else:
        print("Dowloaded:", key, 'from IBM COS to local:', local_file_name)

在笔记本单元格列表目录内容中：

%%script bash
ls -l


# to list all .png files in COS you can use a function like this:        
def list_objects(credentials):  
    cos = ibm_boto3.client(service_name='s3',
    ibm_api_key_id=credentials['IBM_API_KEY_ID'],
    ibm_service_instance_id=credentials['IAM_SERVICE_ID'],
    ibm_auth_endpoint=credentials['IBM_AUTH_ENDPOINT'],
    config=Config(signature_version='oauth'),
    endpoint_url=credentials['ENDPOINT'])
    return cos.list_objects(Bucket=credentials['BUCKET'])

response = list_objects(credentials_1)
for c in response['Contents']:
    if c['Key'].endswith('.png'):
        print(c['Key'], "last modified:", c['LastModified'])
于 2018-05-08T03:07:00.867 回答