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STM32 AI Experimentation Hub
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operation_mode: deployment
model:
model_type: st_yololcv1
model_path: ../../stm32ai-modelzoo/object_detection/st_yololcv1/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yololcv1_256/st_yololcv1_256_int8.tflite
input_shape: (256,256,3)
dataset:
class_names: [person]
preprocessing:
resizing:
aspect_ratio: fit
interpolation: nearest
color_mode: rgb
postprocessing:
confidence_thresh: 0.5
NMS_thresh: 0.5
IoU_eval_thresh: 0.5
max_detection_boxes: 10
tools:
stedgeai:
optimization: balanced
on_cloud: True
path_to_stedgeai: C:/ST/STEdgeAI/3.0/Utilities/windows/stedgeai.exe
path_to_cubeIDE: C:/ST/STM32CubeIDE_1.17.0/STM32CubeIDE/stm32cubeide.exe
deployment:
c_project_path: ../application_code/object_detection/STM32H7/
IDE: GCC
verbosity: 1
hardware_setup:
serie: STM32H7
board: STM32H747I-DISCO
mlflow:
uri: ./tf/src/experiments_outputs/mlruns
hydra:
run:
dir: ./tf/src/experiments_outputs/${now:%Y_%m_%d_%H_%M_%S}