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hand_landmarks

Keypoint Detection
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Update ST Model Zoo

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  1. README.md +3 -7
README.md CHANGED
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- ---
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- license: apache-2.0
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- license_name: sla0044
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- pipeline_tag: keypoint-detection
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- ---
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  # Hand landmarks quantized
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  ## **Use case** : `Pose estimation`
@@ -58,9 +53,10 @@ Measures are done with default STM32Cube.AI configuration with enabled input / o
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  ### Reference **NPU** memory footprint based on COCO Person dataset (see Accuracy for details on dataset)
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  |Model | Dataset | Format | Resolution | Series | Internal RAM (KiB) | External RAM (KiB) | Weights Flash (KiB) | STM32Cube.AI version | STEdgeAI Core version |
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  |----------|------------------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
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- | [hand_landmarks](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/hand_landmarks/Public_pretrainedmodel_custom_dataset/custom_dataset_hands_21kpts/hand_landmarks_full_224_int8_pc.tflite) | COCO-Person | Int8 | 224x224x3 | STM32N6 | 1739.5 | 0.0 | 3283.38 | 10.0.0 | 2.0.0 |
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  ### Reference **NPU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
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  | Model | Dataset | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STM32Cube.AI version | STEdgeAI Core version |
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  |--------|------------------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
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- | [hand_landmarks](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/hand_landmarks/Public_pretrainedmodel_custom_dataset/custom_dataset_hands_21kpts/hand_landmarks_full_224_int8_pc.tflite) | custom_dataset_hands_21kpts | Int8 | 224x224x3 | STM32N6570-DK | NPU/MCU | 20.75 | 48.19 | 10.0.0 | 2.0.0 |
 
 
 
 
 
 
 
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  # Hand landmarks quantized
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  ## **Use case** : `Pose estimation`
 
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  ### Reference **NPU** memory footprint based on COCO Person dataset (see Accuracy for details on dataset)
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  |Model | Dataset | Format | Resolution | Series | Internal RAM (KiB) | External RAM (KiB) | Weights Flash (KiB) | STM32Cube.AI version | STEdgeAI Core version |
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  |----------|------------------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
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+ | [hand_landmarks](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/hand_landmarks/Public_pretrainedmodel_custom_dataset/custom_dataset_hands_21kpts/hand_landmarks_full_224_int8_pc.tflite) | COCO-Person | Int8 | 224x224x3 | STM32N6 | 1739.5 | 0.0 | 3283.38 | 10.2.0 | 2.2.0 |
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  ### Reference **NPU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
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  | Model | Dataset | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STM32Cube.AI version | STEdgeAI Core version |
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  |--------|------------------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
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+ | [hand_landmarks](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/hand_landmarks/Public_pretrainedmodel_custom_dataset/custom_dataset_hands_21kpts/hand_landmarks_full_224_int8_pc.tflite) | custom_dataset_hands_21kpts | Int8 | 224x224x3 | STM32N6570-DK | NPU/MCU | 20.75 | 48.19 | 10.2.0 | 2.2.0 |
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