100312dog

@hreality Could you describe the problem a little more specifically?

@yuyingzhi 你可以根据这个 https://components.espressif.com/components/espressif/opencv/versions/4.10.0~2?language=en 在板子上试验一下opencv轮廓检测能跑多快。 esp32s3的相机帧率也就10帧，esp32p4相机帧率30帧，小的深度学习模型是可以跑满相机帧率的。 当然可能同样帧率下，cpu占用也会有差异，这就看你需求了。

@PeaceInDream Hello, it seems there's a problem with your internet connection. Some dependency of this example uses idf_component.yml, which will download files from github instead of using local components.

@nicklasb Can you share the onnx model file?

@nicklasb The model we use looks like [onnx.zip](https://github.com/user-attachments/files/18447432/onnx.zip), without the last sqrt op. When you export the model to onnx, you should remove the unnecessary part, something like nms.

@nicklasb ``` python tools/export_model.py -c configs/picodet/picodet_s_320_coco_lcnet.yml \ -o weights=https://paddledet.bj.bcebos.com/models/picodet_s_320_coco_lcnet.pdparams export.post_process=False \ --output_dir=output_inference ``` If you are using the offical paddledetection project, use this command to export the model. Use netron...

@monskate 用idf 5.1把, 新的esp-who正在开发中，旧的不会再更新拉。

@israr34907 Hi, please try the following procedures. remove folder ```build/```, ```managed_components/```, file ```dependencies.lock```, then run ```idf.py set-target esp32s3``` ```idf.py flash monitor``` ```idf.py set-target esp32s3``` must be runned first, or the...

@simoberny The PedestrianDetection example in esp-dl should work. Update esp-dl to 3.1.0 and try. If the PedestrianDetection example works, export your own model with latest esp-ppq, and replace the model...

@simoberny Thank you for your info. I did a super quick test. I am able to run the exported model without the assert failure, although the model inference result is...