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Add hardware GPU CUDA: Jetson Nano (#8)
* update benchmark results on Jetson Nano
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README.md

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Hardware Setup:
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- `CPU x86_64`: INTEL CPU i7-5930K @ 3.50GHz, 6 cores, 12 threads.
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- `CPU ARM`: Raspberry 4B, BCM2711B0 @ 1.5GHz (Cortex A-72), 4 cores, 4 threads.
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- `GPU CUDA`: NVIDIA Jetson Nano B01, 128-core Maxwell, Quad-core ARM A57 @ 1.43 GHz.
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***Important Notes***:
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- The time data that shown on the following table presents the time elapsed from preprocess (resize is excluded), to a forward pass of a network, and postprocess to get final results.
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- The time data that shown on the following table is the median of 10 runs. Different metrics may be applied to some specific models.
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- View [benchmark/config](./benchmark/config) for more details on benchmarking different models.
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<!--
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| Model | Input Size | CPU x86_64 (ms) | CPU ARM (ms) | GPU CUDA (ms) |
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| Model | Input Size | CPU x86_64 (ms) | CPU ARM (ms) | GPU CUDA (ms)* |
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|-------|------------|-----------------|--------------|---------------|
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| [YuNet](./models/face_detection_yunet) | 160x120 | 2.17 | 8.87 | 14.95 |
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| [DB](./models/text_detection_db) | 640x480 | 148.65 | 2759.88 | 218.25 |
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| [CRNN](./models/text_recognition_crnn) | 100x32 | 23.23 | 235.87 | 195.20 |
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| Model | Input Size | CPU x86_64 (ms) | CPU ARM (ms) |
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|-------|------------|-----------------|--------------|
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| [YuNet](./models/face_detection_yunet) | 160x120 | 1.45 | 6.22 |
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| [DB](./models/text_detection_db) | 640x480 | 137.38 | 2780.78 |
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| [CRNN](./models/text_recognition_crnn) | 100x32 | 50.21 | 234.32 |
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| [SFace](./models/face_recognition_sface) | 112x112 | 8.65 | 99.20 |
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| [PP-ResNet](./models/image_classification_ppresnet) | 224x224 | 56.05 | 602.58
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| [PP-HumanSeg](./models/human_segmentation_pphumanseg) | 192x192 | 19.92 | 105.32 |
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| [YuNet](./models/face_detection_yunet) | 160x120 | 1.45 | 6.22 | 12.18 |
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| [DB](./models/text_detection_db) | 640x480 | 137.38 | 2780.78 | 220.52 |
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| [CRNN](./models/text_recognition_crnn) | 100x32 | 50.21 | 234.32 | 196.15 |
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| [SFace](./models/face_recognition_sface) | 112x112 | 8.65 | 99.20 | 24.88 |
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| [PP-ResNet](./models/image_classification_ppresnet) | 224x224 | 56.05 | 602.58 | 98.64 |
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| [PP-HumanSeg](./models/human_segmentation_pphumanseg) | 192x192 | 19.92 | 105.32 | 67.97 |
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*: Batch size is 1.
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## License
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