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Merge pull request #1048 from dkurt:dnn_tflite_quant
Test data for INT8 TFLite import
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testdata/dnn/download_models.py

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@@ -1038,8 +1038,13 @@ def get_confirm_token(response): # in case of large files
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Model(
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name='YuNet',
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url='https://github.com/ShiqiYu/libfacedetection.train/raw/02246e79b1e976c83d1e135a85e0628120c93769/onnx/yunet_s_640_640.onnx',
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sha='acbe4b5976ade60c4b866a30d0720d71589c8bbc',
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sha='acbe4b5976ade60c4b866a30d0720d71589c8bbc',
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filename='onnx/models/yunet-202303.onnx'),
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Model(
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name='EfficientDet (TFLite)',
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url='https://storage.googleapis.com/mediapipe-assets/coco_efficientdet_lite0_v1_1.0_quant_2021_09_06.tflite?generation=1661875692679200',
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sha='200217d746d58e68028a64ad0472631060e6affb',
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filename='tflite/coco_efficientdet_lite0_v1_1.0_quant_2021_09_06.tflite'),
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]
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# Note: models will be downloaded to current working directory

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