如何解决,无法加载默认凭据。浏览到 https://cloud.google.com/docs/authentication/getting-started 了解更多信息
How to solve , Could not load the default credentials. Browse to https://cloud.google.com/docs/authentication/getting-started for more information
我正在 NodeJS 中实现 google automl 来预测图像级别。我已经手动创建了模型、关卡和上传图像。现在我想使用 NodeJS 预测图像的级别。
我写了一个函数,但总是出现以下错误,
Error: Could not load the default credentials. Browse to https://cloud.google.com/docs/authentication/getting-started for more information
代码如下-
async function addfile() {
console.log("add file called")
const projectId = "project-name";
const computeRegion = "us-central1";
const modelId = "modelid";
const filePath = "./src/assets/uploads/micro.jpeg";
const scoreThreshold = "0.9";
const client = new automl.PredictionServiceClient();
const modelFullId = client.modelPath(projectId, computeRegion, modelId);
try {
const content = fs.readFileSync(filePath, 'base64');
const params = {};
if (scoreThreshold) {
params.score_threshold = scoreThreshold;
}
const payload = {};
payload.image = { imageBytes: content };
console.log("try block is running")
var [response] = await client.predict({
name: modelFullId,
payload: payload,
params: params,
keyFilename: "./src/assets/uploads/service_account_key.json"
});
console.log('Prediction results: ' + JSON.stringify(response));
response.payload.forEach(result => {
console.log('Predicted class name: ${result.displayName}');
console.log('Predicted class score: ${result.classification.score}');
});
} catch (exception) {
console.log("exception occur = " + exception);
}
}
任何解决方案都将不胜感激。
如@Rakesh Saini 所述,当项目中 environment variables are not set or missing.The environment can be set by adding application credentials 并添加其他所需的环境变量(如项目 ID 和位置)时会发生此错误。
我正在 NodeJS 中实现 google automl 来预测图像级别。我已经手动创建了模型、关卡和上传图像。现在我想使用 NodeJS 预测图像的级别。 我写了一个函数,但总是出现以下错误,
Error: Could not load the default credentials. Browse to https://cloud.google.com/docs/authentication/getting-started for more information
代码如下-
async function addfile() {
console.log("add file called")
const projectId = "project-name";
const computeRegion = "us-central1";
const modelId = "modelid";
const filePath = "./src/assets/uploads/micro.jpeg";
const scoreThreshold = "0.9";
const client = new automl.PredictionServiceClient();
const modelFullId = client.modelPath(projectId, computeRegion, modelId);
try {
const content = fs.readFileSync(filePath, 'base64');
const params = {};
if (scoreThreshold) {
params.score_threshold = scoreThreshold;
}
const payload = {};
payload.image = { imageBytes: content };
console.log("try block is running")
var [response] = await client.predict({
name: modelFullId,
payload: payload,
params: params,
keyFilename: "./src/assets/uploads/service_account_key.json"
});
console.log('Prediction results: ' + JSON.stringify(response));
response.payload.forEach(result => {
console.log('Predicted class name: ${result.displayName}');
console.log('Predicted class score: ${result.classification.score}');
});
} catch (exception) {
console.log("exception occur = " + exception);
}
}
任何解决方案都将不胜感激。
如@Rakesh Saini 所述,当项目中 environment variables are not set or missing.The environment can be set by adding application credentials 并添加其他所需的环境变量(如项目 ID 和位置)时会发生此错误。