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dogg · 2024-11-19

Hi, I have successfully ran and trained the models in modelzoo but I would like to use a larger model with yolov8 for higher resolution. It was mentioned in another post that yolov5 and above is not compatible with ST chips at the moment. In an...

dogg · 2024-11-04

Hi,I am following this tutorial to use my own image recognition model with the STM32H747I-DISCO board. I have already ran the demos and they seem to work fine.I first configure the model in CUBE-MX successfully and then copy the required files to the...

dogg · 2024-11-21

Ok, when I use 608 trained tiny yolo model I get this error while deploying the model:File "C:\Users\Haris\Desktop\stm32ai-modelzoo\object_detection\src\../../common/deployment\external_memory_mgt.py", line 88, in update_activation_c_code line = "#de...

dogg · 2024-11-20

Sure: [INFO] : Starting training...6/202 [..............................] - ETA: 2:38 - loss: 2790.8662 Input Shape List: None The print that prints "None" is on line 296 of tiny_yolo_v2_preprocess.pyIf is use 608 for the input size then I get this:...

dogg · 2024-11-20

That was a typo, I indeed use 1024, 1024, 3.Dataset is this one. thanks

dogg · 2024-11-20

general: project_name: COCO_2017_person_Demo model_type: tiny_yolo_v2 #model_path: C:/Users/Haris/Desktop/stm32ai-modelzoo/object_detection/pretrained_models/ssd_mobilenet_v2_fpnlite/ST_pretrainedmodel_public_dataset/coco_2017_80_classes/ssd_mo...

dogg · 2024-11-20

When I choose 1024x1024 for input size, I get a self.input_shape_list = None at line 296 of tiny_yolo_v2_preprocess.py thanks

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How to use yolov8 on STM32H747

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