YoloX-Tracking-ncnn-RPi_64-bit
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Tflite traking fps performance
Hi, @Qengineering
I saw that below 2 link from the top is the same link and not firecting the Tflite-tracker code.
Is these fps for tflite + tracking ?
Can raspbery pi 4 handle the vehicle count ie 20 fps ?
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 times (TFlite and NanoDet). So, TFlite with tracking will run at 20 FPS. Take a look to the YoloX code and see how the tracking is implemented. Use the same strategy for the TFlite code.
@Qengineering :)
I am working monitoring the traffic on the roads and intersections etc .
- Tflite performed poor on above and similar videos
- what would be the best way to detect vehicles for counting purposes ?
- And always targeted to cheap HW ie raspberryPi or ZYSJ RK3588 (https://www.cnx-software.com/2022/03/12/249-rockchip-rk3588-8k-mini-pc-16gb-ram/ very powerfull yet affordable with over priced Rp4)
Best
https://www.youtube.com/watch?v=QuUxHIVUoaY&list=PPSV
@MyraBaba,
Please see https://github.com/Qengineering/Traffic-Counter-RPi_64-bit
@Qengineering Can u please using cmake?
Dear @jinfagang,
Please find the CMake and follow the instructions in the README.md