performance evaluation of yolo models on different edge platforms
How to do benchmarking of YOLO model on stm32 platforms. Ritesh
How to do benchmarking of YOLO model on stm32 platforms. Ritesh
Hello,I have STM32H7S78-DK board and its have ARM cortex M7 core. As per research I saw that AI model is work on the same M7 cortex but I didn't know how it will work? would you please let us know STM32H7S78 supports AI model implements or not and if...
Hello everyone,I am learning how to use the ST Edge AI Developer Cloud tool and, after downloading my model that I developed with TensorFlow and selecting the STM32 MCUs platform, I wanted to try the post-training quantization but I encountered the f...
My use case is about computer vision (yolo model preferably) and how to monitor its inference in order to have an idea of its carbon footprint when running on the chip. I heard that stm32-zoo has a yolo model available, so it is possible to use it on...
I am testing DL model on different MCU platform. Is it possible to get the power consumption information?And is there any option to change the clock frequency of MCU? Ritesh
In ST Edge AI Developer Cloud I generated the C library of a ST_LSM6DSO16IS_ispu_wand_dataset with platform selected as ISPU. I got many library files in which the major APIs are in the network.h and its c file. I need an API manual or documentation ...
The free online platform (formerly named STM32Cube.AI Developer Cloud) now supports MPUs and smart sensors in addition to MCUs. It also supports AI hardware acceleration (NPU) on compatible devices. Leveraging the ST Edge AI Core technology, the to...
I have built and trained a recursive model with my data and generated the `.h5` and `.tflite` files. While I have been able to optimize the `.h5` file successfully, I am facing difficulties quantizing it. Below is the error I receive when attempting ...
DearI have encountered some difficulties while using CUBEAI to analyze my self-trained object detection models.I trained my own dataset using the object detection models available in the STM32AIModelZoo. I have utilized the tiny_yolo, st_ssd_mobilene...