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[TF|XLA] Validation classification models #563

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Vladislav-Denisov
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Model | Parameters | Python API (without using XLA) | Python API (with using XLA)|
-|-|-|-|
densenet-121-tf |--input_shape 224 224 3<br>--input_name keras_tensor:0<br>--channel_swap 2 1 0<br>--mean 127.5 127.5 127.5<br>--input_scale 127.5 127.5 127.5<br>--output_names output_0|0.9906962 Granny Smith<br>0.0014767 lemon<br>0.0012409 orange<br>0.0009354 tennis ball<br>0.0007776 piggy bank, penny bank<br>0.0006042 water jug<br>0.0004794 banana<br>0.0004392 vase<br>0.0004066 pitcher, ewer<br>0.0002944 teapot|0.9906962 Granny Smith<br>0.0014767 lemon<br>0.0012409 orange<br>0.0009354 tennis ball<br>0.0007776 piggy bank, penny bank<br>0.0006042 water jug<br>0.0004794 banana<br>0.0004392 vase<br>0.0004066 pitcher, ewer<br>0.0002944 teapot|
efficientnet-b0 |--input_name sub:0<br>--input_shape 224 224 3<br>--output_names logits<br>--channel_swap 2 1 0<br>--mean 123.68 116.78 103.94<br>--labels ./dl-benchmark/src/inference/labels/image_net_synset.txt|10.7337656 Granny Smith<br>4.8936863 lemon<br>4.3447976 bell pepper<br>4.3027458 orange<br>4.2535648 piggy bank, penny bank<br>4.1575651 tennis ball<br>3.5578172 teapot<br>3.2271135 pomegranate<br>3.1768432 saltshaker, salt shaker<br>3.1720369 acorn|10.7337656 Granny Smith<br>4.8936863 lemon<br>4.3447976 bell pepper<br>4.3027458 orange<br>4.2535648 piggy bank, penny bank<br>4.1575651 tennis ball<br>3.5578172 teapot<br>3.2271135 pomegranate<br>3.1768432 saltshaker, salt shaker<br>3.1720369 acorn|
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Не уверена, что есть смысл везде тащить полный путь до файла с метками, выглядит громоздко для таблицы. Может, путь указать где-то в сносках, написав, что файлы меток можно найти там-то?

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Исправил в 8e8189e

@valentina-kustikova valentina-kustikova merged commit 71632d2 into itlab-vision:master Dec 22, 2024
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