Keypoint Detection
FBAGSTM commited on
Commit
567a7bf
·
verified ·
1 Parent(s): ae2f06a

Release AI-ModelZoo-4.0.0

Browse files
Files changed (1) hide show
  1. README.md +10 -10
README.md CHANGED
@@ -64,18 +64,18 @@ Please also check the folder's README.md file for detailed information about its
64
  https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/README.md
65
 
66
  ### Reference **NPU** memory footprint based on COCO Person dataset (see Accuracy for details on dataset)
67
- |Model | Dataset | Format | Resolution | Series | Internal RAM (KiB) | External RAM (KiB) | Weights Flash (KiB)| STM32Cube.AI version | STEdgeAI Core version |
68
- |----------|------------------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
69
- | [YOLOv8n pose per channel](https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/stedgeai_models/pose_estimation/yolov8n_192_quant_pc_uf_pose_coco-st.tflite) | COCO-Person | Int8 | 192x192x3 | STM32N6 | 477.56 | 0.0 | 3247.89 | 10.2.0 | 2.2.0 |
70
- | [YOLOv8n pose per channel](https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/stedgeai_models/pose_estimation/yolov8n_256_quant_pc_uf_pose_coco-st.tflite) | COCO-Person | Int8 | 256x256x3 | STM32N6 | 1135 | 0.0 | 3265.22 | 10.2.0 | 2.2.0 |
71
- | [YOLOv8n pose per channel](https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/stedgeai_models/pose_estimation/yolov8n_320_quant_pc_uf_pose_coco-st.tflite) | COCO-Person | Int8 | 320x320x3 | STM32N6 | 2264.27 | 0.0 | 3263.72 | 10.2.0 | 2.2.0 |
72
 
73
  ### Reference **NPU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
74
- | Model | Dataset | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STM32Cube.AI version | STEdgeAI Core version |
75
- |--------|------------------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
76
- | [YOLOv8n pose per channel](https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/stedgeai_models/pose_estimation/yolov8n_192_quant_pc_uf_pose_coco-st.tflite) | COCO-Person | Int8 | 192x192x3 | STM32N6570-DK | NPU/MCU | 24.46 | 40.89 | 10.2.0 | 2.2.0 |
77
- | [YOLOv8n pose per channel](https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/stedgeai_models/pose_estimation/yolov8n_256_quant_pc_uf_pose_coco-st.tflite) | COCO-Person | Int8 | 256x256x3 | STM32N6570-DK | NPU/MCU | 35.79 | 27.95 | 10.2.0 | 2.2.0 |
78
- | [YOLOv8n pose per channel](https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/stedgeai_models/pose_estimation/yolov8n_320_quant_pc_uf_pose_coco-st.tflite) | COCO-Person | Int8 | 320x320x3 | STM32N6570-DK | NPU/MCU | 51.35 | 19.48 | 10.2.0 | 2.2.0 |
79
 
80
 
81
  ### Reference **MPU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
 
64
  https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/README.md
65
 
66
  ### Reference **NPU** memory footprint based on COCO Person dataset (see Accuracy for details on dataset)
67
+ |Model | Dataset | Format | Resolution | Series | Internal RAM (KiB) | External RAM (KiB) | Weights Flash (KiB) | STEdgeAI Core version |
68
+ |----------|------------------|--------|-------------|------------------|------------------|---------------------|-------|-------------------------|
69
+ | [YOLOv8n pose per channel](https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/stedgeai_models/pose_estimation/yolov8n_192_quant_pc_uf_pose_coco-st.tflite) | COCO-Person | Int8 | 192x192x3 | STM32N6 | 477.56 | 0.0 | 3247.89 | 3.0.0 |
70
+ | [YOLOv8n pose per channel](https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/stedgeai_models/pose_estimation/yolov8n_256_quant_pc_uf_pose_coco-st.tflite) | COCO-Person | Int8 | 256x256x3 | STM32N6 | 1135 | 0.0 | 3265.22 | 3.0.0 |
71
+ | [YOLOv8n pose per channel](https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/stedgeai_models/pose_estimation/yolov8n_320_quant_pc_uf_pose_coco-st.tflite) | COCO-Person | Int8 | 320x320x3 | STM32N6 | 2264.27 | 0.0 | 3263.72 | 3.0.0 |
72
 
73
  ### Reference **NPU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
74
+ | Model | Dataset | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STEdgeAI Core version |
75
+ |--------|------------------|--------|-------------|------------------|------------------|---------------------|-------|-------------------------|
76
+ | [YOLOv8n pose per channel](https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/stedgeai_models/pose_estimation/yolov8n_192_quant_pc_uf_pose_coco-st.tflite) | COCO-Person | Int8 | 192x192x3 | STM32N6570-DK | NPU/MCU | 24.46 | 40.89 | 3.0.0 |
77
+ | [YOLOv8n pose per channel](https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/stedgeai_models/pose_estimation/yolov8n_256_quant_pc_uf_pose_coco-st.tflite) | COCO-Person | Int8 | 256x256x3 | STM32N6570-DK | NPU/MCU | 35.79 | 27.95 | 3.0.0 |
78
+ | [YOLOv8n pose per channel](https://github.com/stm32-hotspot/ultralytics/blob/main/examples/YOLOv8-STEdgeAI/stedgeai_models/pose_estimation/yolov8n_320_quant_pc_uf_pose_coco-st.tflite) | COCO-Person | Int8 | 320x320x3 | STM32N6570-DK | NPU/MCU | 51.35 | 19.48 | 3.0.0 |
79
 
80
 
81
  ### Reference **MPU** inference time based on COCO Person dataset (see Accuracy for details on dataset)