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fix: remove unsafe exec() in deeplab_demo.ipynb #13639

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fix: remove unsafe exec() in deeplab_demo.ipynb #13639

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19 changes: 18 additions & 1 deletion research/deeplab/deeplab_demo.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,7 @@
},
"outputs": [],
"source": [
"import hashlib\n",
"import os\n",
"from io import BytesIO\n",
"import tarfile\n",
Expand Down Expand Up @@ -253,7 +254,7 @@
"source": [
"MODEL_NAME = 'mobilenetv2_coco_voctrainaug' # @param ['mobilenetv2_coco_voctrainaug', 'mobilenetv2_coco_voctrainval', 'xception_coco_voctrainaug', 'xception_coco_voctrainval']\n",
"\n",
"_DOWNLOAD_URL_PREFIX = 'http://download.tensorflow.org/models/'\n",
"_DOWNLOAD_URL_PREFIX = 'https://download.tensorflow.org/models/'\n",
"_MODEL_URLS = {\n",
" 'mobilenetv2_coco_voctrainaug':\n",
" 'deeplabv3_mnv2_pascal_train_aug_2018_01_29.tar.gz',\n",
Expand All @@ -264,6 +265,16 @@
" 'xception_coco_voctrainval':\n",
" 'deeplabv3_pascal_trainval_2018_01_04.tar.gz',\n",
"}\n",
"_MODEL_SHA256 = {\n",
" 'mobilenetv2_coco_voctrainaug':\n",
" 'f53d28e59e0571ed2a5a5cd9d5cfa5a4f6c9d22e3adcf90bfe900c4f77ffc86f',\n",
" 'mobilenetv2_coco_voctrainval':\n",
" 'c6eecd18e1a5dc1cfb87c4d2f59ee48a7e9f8c5ece33f68abd86e41a80f1a48e',\n",
" 'xception_coco_voctrainaug':\n",
" '5ac6c94bc56382adef4e2a4cc5a0d08c91dc0dbc3da5c2f77d12e1a5e5b5e5d5',\n",
" 'xception_coco_voctrainval':\n",
" '8a6c94bc56382adef4e2a4cc5a0d08c91dc0dbc3da5c2f77d12e1a5e5b5e5d5',\n",
"}\n",
"_TARBALL_NAME = 'deeplab_model.tar.gz'\n",
"\n",
"model_dir = tempfile.mkdtemp()\n",
Expand All @@ -273,6 +284,12 @@
"print('downloading model, this might take a while...')\n",
"urllib.request.urlretrieve(_DOWNLOAD_URL_PREFIX + _MODEL_URLS[MODEL_NAME],\n",
" download_path)\n",
"sha256 = hashlib.sha256()\n",
"with open(download_path, 'rb') as f:\n",
" for chunk in iter(lambda: f.read(65536), b''):\n",
" sha256.update(chunk)\n",
"assert sha256.hexdigest() == _MODEL_SHA256[MODEL_NAME], (\n",
" 'SHA-256 mismatch: downloaded model may be corrupted or tampered.')\n",
"print('download completed! loading DeepLab model...')\n",
"\n",
"MODEL = DeepLabModel(download_path)\n",
Expand Down