ultralytics 8.0.176 update Dockerfile-arm64 to 22.04 (#4857)
Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Kalen Michael <kalenmike@gmail.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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11 changed files with 29 additions and 29 deletions
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@ -117,8 +117,7 @@ class HUBTrainingSession:
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if data['status'] == 'new': # new model to start training
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self.train_args = {
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# TODO deprecate 'batch_size' argument in favor of 'batch'
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'batch': data['batch' if 'batch' in data else 'batch_size'],
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'batch': data['batch_size'], # note HUB argument is slightly different
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'epochs': data['epochs'],
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'imgsz': data['imgsz'],
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'patience': data['patience'],
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@ -159,6 +158,7 @@ class HUBTrainingSession:
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data = {'epoch': epoch}
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if final:
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data.update({'type': 'final', 'map': map})
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filesize = Path(weights).stat().st_size
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smart_request('post',
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url,
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data=data,
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@ -167,7 +167,7 @@ class HUBTrainingSession:
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retry=10,
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timeout=3600,
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thread=False,
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progress=True,
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progress=filesize,
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code=4)
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else:
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data.update({'type': 'epoch', 'isBest': bool(is_best)})
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@ -70,14 +70,15 @@ def requests_with_progress(method, url, **kwargs):
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(requests.Response): The response object from the HTTP request.
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Note:
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If 'progress' is set to True, the progress bar will display the download progress
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for responses with a known content length.
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- If 'progress' is set to True, the progress bar will display the download progress for responses with a known
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content length.
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- If 'progress' is a number then progress bar will display assuming content length = progress.
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"""
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progress = kwargs.pop('progress', False)
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if not progress:
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return requests.request(method, url, **kwargs)
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response = requests.request(method, url, stream=True, **kwargs)
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total = int(response.headers.get('content-length', 0)) # total size
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total = int(response.headers.get('content-length', 0) if isinstance(progress, bool) else progress) # total size
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try:
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pbar = TQDM(total=total, unit='B', unit_scale=True, unit_divisor=1024)
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for data in response.iter_content(chunk_size=1024):
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