Pull request #14: optional debug progress bar added
Merge in RR/fb-detr from add-debug-progress-bar to master
Squashed commit of the following:
commit 3449be1b46f73a5e9ae3719ed2821a1b7faca9e4
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Wed Feb 23 10:26:47 2022 +0100
refactoring; added VERBOSE flag to config
commit e50234e205dfd7a40aaf7981da85e28048d9efba
Merge: 89703ca f6c51be
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Wed Feb 23 09:45:33 2022 +0100
Merge branch 'config_changes' into add-debug-progress-bar
commit f6c51beeaa952c18c80b7af6b7a46b9de8f521c3
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Wed Feb 23 09:44:00 2022 +0100
added env var
commit 89703caa776f0fad55757ab22568e45949b2b310
Author: Julius Unverfehrt <Julius.Unverfehrt@iqser.com>
Date: Wed Feb 23 08:28:52 2022 +0100
optional debug progress bar added
This commit is contained in:
parent
1a06214267
commit
a4fa73deaa
@ -11,5 +11,6 @@ webserver:
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mode: $SERVER_MODE|production # webserver mode: {development, production}
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service:
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logging_level: DEBUG
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batch_size: $BATCH_SIZE|2 # Number of images in memory simultaneously per service instance
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logging_level: $LOGGING_LEVEL_ROOT|DEBUG # Logging level for service logger
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batch_size: $BATCH_SIZE|2 # Number of images in memory simultaneously
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verbose: $VERBOSE|True # Service prints document processing progress to stdout
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@ -139,6 +139,15 @@ class Predictor:
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return predictions
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def predict_pdf(self, pdf: bytes):
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def progress(generator):
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page_count = get_page_count(pdf)
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batch_count = int(page_count / CONFIG.service.batch_size)
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yield from tqdm(
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generator, total=batch_count, position=1, leave=True
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) if CONFIG.service.verbose else generator
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def predict_batch(batch_idx, batch):
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predictions = self.predict(batch)
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for p in predictions:
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@ -146,11 +155,8 @@ class Predictor:
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return predictions
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page_count = get_page_count(pdf)
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batch_count = int(page_count / CONFIG.service.batch_size)
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page_stream = stream_pages(pdf)
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page_batches = chunk_iterable(page_stream, CONFIG.service.batch_size)
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predictions = list(chain(*starmap(predict_batch, tqdm(enumerate(page_batches), total=batch_count))))
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predictions = list(chain(*starmap(predict_batch, progress(enumerate(page_batches)))))
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return predictions
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@ -1,16 +1,12 @@
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import argparse
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import json
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import logging
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from itertools import chain
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from typing import Callable
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from flask import Flask, request, jsonify
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from pdf2image import pdf2image
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from waitress import serve
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from fb_detr.config import CONFIG
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from fb_detr.utils.estimator import suppress_userwarnings, initialize_predictor
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from fb_detr.utils.stream import stream_pages, chunk_iterable
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def parse_args():
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