Release AI-ModelZoo-4.0.0
Browse files
README.md
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@@ -56,12 +56,12 @@ With an image resolution of NxM with K keypoints to detect :
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Measures are done with default STM32Cube.AI configuration with enabled input / output allocated option.
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### Reference **NPU** memory footprint
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|Model | Format | Resolution | Series | Internal RAM (KiB) | External RAM (KiB) | Weights Flash (KiB)
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| [head_landmarks](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/
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### Reference **NPU** inference time
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| Model | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec
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| [head_landmarks](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/
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Measures are done with default STM32Cube.AI configuration with enabled input / output allocated option.
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### Reference **NPU** memory footprint
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|Model | Format | Resolution | Series | Internal RAM (KiB) | External RAM (KiB) | Weights Flash (KiB) | STEdgeAI Core version |
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|----------|--------|-------------|------------------|------------------|---------------------|-------|-------------------------|
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| [head_landmarks](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/headlandmarks/custom_dataset_heads_468kpts/facelandmarksv1_192_int8.onnx) | Int8 | 224x224x3 | STM32N6 | 1739.5 | 0.0 | 3246.47 | 3.0.0 |
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### Reference **NPU** inference time
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| Model | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STEdgeAI Core version |
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|--------|--------|-------------|------------------|------------------|---------------------|-------|-------------------------|
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| [head_landmarks](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/headlandmarks/custom_dataset_heads_468kpts/facelandmarksv1_192_int8.onnx) | Int8 | 224x224x3 | STM32N6570-DK | NPU/MCU | 20.52 | 48.73 | 3.0.0 |
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