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Update performance measurements
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@Dobiasd
Dobiasd committed Jun 11, 2022
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Expand Up @@ -155,23 +155,23 @@ Below you can find the average durations of multiple consecutive forward passes

| Model | Keras + TF | frugally-deep |
| ----------------- | ----------:| -------------:|
| `DenseNet121` | 0.12 s | 0.28 s |
| `DenseNet169` | 0.14 s | 0.36 s |
| `DenseNet201` | 0.16 s | 0.49 s |
| `InceptionV3` | 0.17 s | 0.36 s |
| `DenseNet121` | 0.12 s | 0.31 s |
| `DenseNet169` | 0.14 s | 0.38 s |
| `DenseNet201` | 0.18 s | 0.50 s |
| `InceptionV3` | 0.17 s | 0.29 s |
| `MobileNet` | 0.05 s | 0.07 s |
| `MobileNetV2` | 0.05 s | 0.07 s |
| `NASNetLarge` | 0.85 s | 2.45 s |
| `NASNetMobile` | 0.09 s | 0.13 s |
| `ResNet101` | 0.23 s | 0.52 s |
| `ResNet101V2` | 0.21 s | 0.49 s |
| `ResNet152` | 0.32 s | 0.78 s |
| `ResNet152V2` | 0.30 s | 0.71 s |
| `ResNet50` | 0.14 s | 0.31 s |
| `ResNet50V2` | 0.12 s | 0.25 s |
| `VGG16` | 0.41 s | 0.53 s |
| `VGG19` | 0.50 s | 0.66 s |
| `Xception` | 0.25 s | 0.65 s |
| `MobileNetV2` | 0.05 s | 0.08 s |
| `NASNetLarge` | 0.85 s | 2.35 s |
| `NASNetMobile` | 0.09 s | 0.14 s |
| `ResNet101` | 0.23 s | 0.41 s |
| `ResNet101V2` | 0.21 s | 0.36 s |
| `ResNet152` | 0.32 s | 0.59 s |
| `ResNet152V2` | 0.30 s | 0.54 s |
| `ResNet50` | 0.14 s | 0.25 s |
| `ResNet50V2` | 0.12 s | 0.20 s |
| `VGG16` | 0.40 s | 0.48 s |
| `VGG19` | 0.49 s | 0.59 s |
| `Xception` | 0.25 s | 0.55 s |

Requirements and Installation
-----------------------------
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