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39 lines
1.1 KiB
39 lines
1.1 KiB
import requests
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import os
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import tarfile
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import sys
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urls = ["https://s3-ap-northeast-1.amazonaws.com/mycityreport/trainedModels.tar.gz",
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"http://download.tensorflow.org/models/object_detection/rfcn_resnet101_coco_2018_01_28.tar.gz"]
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paths = ["../server_side/api/modules", "."]
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for i in range(len(urls)):
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url = urls[i]
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print("[INFO]: Downloadinng file: {} to temp.tar.gz!".format(url.split("/")[-1]))
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with open("temp.tar.gz", 'wb') as f:
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response = requests.get(url, stream=True)
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total = response.headers.get('content-length')
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if total is None:
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f.write(response.content)
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else:
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downloaded = 0
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total = int(total)
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for data in response.iter_content(chunk_size=max(int(total/1000), 1024*1024)):
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downloaded += len(data)
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f.write(data)
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done = int(50*downloaded/total)
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sys.stdout.write('\r[{}{}]'.format('*' * done, '.' * (50-done)))
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sys.stdout.flush()
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sys.stdout.write('\n')
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print("[INFO]: Done downloading, now extracting!")
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tar = tarfile.open("temp.tar.gz")
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tar.extractall(path=paths[i])
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tar.close()
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os.remove("temp.tar.gz")
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print("[INFO]: Done downloading, now deleting!")
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print("[INFO]: Done")
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