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我正在使用带有标签的自定义模型（使用示例标签工具创建），并使用此页面底部的“Python Form Recognizer Async Analyze”V2 SDK 代码获取结果。它基本上可以工作，但单页 PDF 文件需要 20 多秒才能获得结果（使用 6 个标签，S0 定价模型）。150 个单页 pdf 文件花了一个多小时。我们还使用表单识别器的 V1 SDK 预览版（无标签）进行了测试，该版本比 V2快得多。

我知道 V2 现在是异步的，但是有什么可以加快表单识别的方法吗？下面是我基本上使用的代码：

########### Python Form Recognizer Async Analyze #############
import json
import time
from requests import get, post

# Endpoint URL
endpoint = r"<endpoint>"
apim_key = "<subsription key>"
model_id = "<model_id>"
post_url = endpoint + "/formrecognizer/v2.0-preview/custom/models/%s/analyze" % model_id
source = r"<file path>"
params = {
    "includeTextDetails": True
}

headers = {
    # Request headers
    'Content-Type': '<file type>',
    'Ocp-Apim-Subscription-Key': apim_key,
}
with open(source, "rb") as f:
    data_bytes = f.read()

try:
    resp = post(url = post_url, data = data_bytes, headers = headers, params = params)
    if resp.status_code != 202:
        print("POST analyze failed:\n%s" % json.dumps(resp.json()))
        quit()
    print("POST analyze succeeded:\n%s" % resp.headers)
    get_url = resp.headers["operation-location"]
except Exception as e:
    print("POST analyze failed:\n%s" % str(e))
    quit() 

n_tries = 15
n_try = 0
wait_sec = 5
max_wait_sec = 60
while n_try < n_tries:
    try:
        resp = get(url = get_url, headers = {"Ocp-Apim-Subscription-Key": apim_key})
        resp_json = resp.json()
        if resp.status_code != 200:
            print("GET analyze results failed:\n%s" % json.dumps(resp_json))
            quit()
        status = resp_json["status"]
        if status == "succeeded":
            print("Analysis succeeded:\n%s" % json.dumps(resp_json))
            quit()
        if status == "failed":
            print("Analysis failed:\n%s" % json.dumps(resp_json))
            quit()
        # Analysis still running. Wait and retry.
        time.sleep(wait_sec)
        n_try += 1
        wait_sec = min(2*wait_sec, max_wait_sec)     
    except Exception as e:
        msg = "GET analyze results failed:\n%s" % str(e)
        print(msg)
        quit()
print("Analyze operation did not complete within the allocated time.")
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1 回答 1

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感谢您提出问题，我们正在调查此问题，并会尽快为您更新。对于分析 150 个单页，您可以将所有页面并行发送到表单识别器以减少时间。

于 2020-03-31T15:53:51.183 回答