如何使用JavaScript将一批图像上传到Azure Custom Vision

Question

我想使用JavaScript SDK将一批64张图像上传到Custom Vision。

const files: ImageFileCreateEntry[] = []
while (i < 64) {
const data = fs.readFileSync(`${sampleDataRoot}/${tag.name}/${file}`)
const fileEntry: ImageFileCreateEntry = { name: file, contents: data }
files.push(fileEntry);
i++
}
const batch: ImageFileCreateBatch = { images: files, tagIds: [tag.id] }
fileUploadPromises.push(client.createImagesFromFiles(projectId, batch))

但我得到了以下错误：

RestError: No valid image files
at new RestError (/home/pomatti/projects/personal/azure-customvision-benchmark/node_modules/@azure/ms-rest-js/lib/restError.ts:18:5)
at /home/pomatti/projects/personal/azure-customvision-benchmark/node_modules/@azure/ms-rest-js/lib/policies/deserializationPolicy.ts:117:27
at processTicksAndRejections (internal/process/task_queues.js:97:5)
at async Promise.all (index 5) {
code: 'BadRequestImageBatch',
statusCode: 400,
request: WebResource {
streamResponseBody: false,
url: 'https://eastus.api.cognitive.microsoft.com/customvision/v3.3/training/projects/ff4967f9-f772-4473-89a5-41356c471454/images/files',
method: 'POST',
headers: HttpHeaders { _headersMap: [Object] },
body: '{"images":[],"tagIds":["8a2e95b5-2050-403d-95e7-45b08e358d7d"]}',
query: undefined,
formData: undefined,
withCredentials: false,
abortSignal: undefined,
timeout: 0,
onUploadProgress: undefined,
onDownloadProgress: undefined,
proxySettings: undefined,
keepAlive: undefined,
operationSpec: {
httpMethod: 'POST',
path: 'projects/{projectId}/images/files',
urlParameters: [Array],
requestBody: [Object],
responses: [Object],
serializer: [Serializer]
}
},
response: {
body: '{"code":"BadRequestImageBatch","message":"No valid image files"}',
headers: HttpHeaders { _headersMap: [Object] },
status: 400
},
body: { code: 'BadRequestImageBatch', message: 'No valid image files' }
}

Answer 1

我发现我的实现完全搞砸了。

这就是我目前解决问题的方法：

const client = getTrainingClient();
const tags = await client.getTags(projectId);
let fileUploadPromises = [];
tags.forEach(tag => {
const imageFiles = fs.readdirSync(`${sampleDataRoot}/${tag.name}`);
const files: ImageFileCreateEntry[] = []
const chunk = imageFiles.slice(0, 64)
chunk.forEach(file => {
const data = fs.readFileSync(`${sampleDataRoot}/${tag.name}/${file}`)
const fileEntry: ImageFileCreateEntry = { name: file, contents: data }
files.push(fileEntry);
})
const batch: ImageFileCreateBatch = { images: files, tagIds: [tag.id] }
fileUploadPromises.push(client.createImagesFromFiles(projectId, batch))
})