Comments (1)
Hello,
For the first issue, make sure to include in the path the name of the executable ie stm32ai.exe (.../windows/stm32ai.exe).
For the second issue, on some boards, the name reported changed that is causing the issue you observed
Board name mismatch
a. Description: Customer’s board is named “DISCO-H747XI”, whereas the conf file is expecting “STM32H747I-DISCO”. This causes deploy.py to fail.
b. Workaround: Change Line 5: "board" name to "DISCO-H747XI" in the file [..\stm32ai-modelzoo\object_detection\getting_started\stmaic_c_project.conf].
You may also have an issue with the LCD, on recent boards the LCD also changed : LCD daughterboard MB1166-A09 uses part number FRD400B25025-A-CTK with the NT35510 driver IC, whereas MB1166-A03 daughterboard uses part number FRD397B25009-D-CTK with driver IC OTM8009A.
A fix has been published within the STM32H7 Cube package that we are currently adapting for the model zoo application.
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Related Issues (20)
- Issue with Google Colab code HOT 1
- Not able to install Tensor flow via CMD HOT 4
- Unable to run Model Zoo onto STM32L562 Board HOT 2
- command "stm32ai generate" error HOT 1
- Is it possible to use several onnx models in the board? HOT 1
- Question: Is STM32H745XIH6 micro-controller suitable for running object detection models? HOT 1
- Implementing custom post processing for different models HOT 9
- Error: File does not exist: STM32H747I-DISCO_GettingStarted_ObjectDetection_CM7.elf HOT 12
- Update required for requirements.txt flie
- INTERNAL ERROR: Mismatch in input shape of gemm: (BATCH: 1, CH: 12, H: 8) x (BATCH: 1, CH: 8, H: 12) HOT 1
- B cam omv + USB Display HOT 10
- stm32CUBEIDE Fault
- Object detection - best weights never saved HOT 4
- Object detection - How to use transfer learning ? HOT 7
- Object detection - How to use a model ? HOT 5
- support the STM32F746 or not HOT 1
- Reduce inference time HOT 7
- Tensorflow version not found HOT 2
- Can quick deployment be supported by more boards? HOT 2
- Hardfault in ILI9341_STM32_Driver.c HOT 3
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