Q-engineering
Q-engineering
The design of the deep learning model determines the dimensions of the input image. In the case of YoloFastestV2, it is 352x352. Regardless of the resolution offered, the first thing...
The segmentation fault is the most unspecified error you can get. It can have many different causes. At a low level, it means your trying to read/write data to a...
The tracking algorithm is very fast. It don't lower the inference times of the models much. That's why I have made a YoloX version with tracking, and extrapolate the other...
@MyraBaba, Please see https://github.com/Qengineering/Traffic-Counter-RPi_64-bit
Dear @jinfagang, Please find the CMake and follow the instructions in the README.md
What kind of image are you looking for?
I see. Give me some time. Perhaps this weekend I can made one with the most common frameworks.
Can't find a suitable YoloV5n model for the ncnn framework. Due to many other projects I haven't time to convert and test one from another source.
You have two options. 1) Jetson Nano with 4 GByte RAM (not 2 GB) ± $ 120,= + $ 25,= for the camera. However, its very hard to get one...
@opentld, You can not train the model with the dataset given in this repo. We use the ncnn framework. ncnn doesn't support training, only deploying. Train your custom YoloV7 model...