android13/hardware/rockchip/rknn-toolkit2/examples/darknet/yolov3_416x416
liiir1985 7f62dcda9f initial 2024-06-22 20:45:49 +08:00
..
README.md initial 2024-06-22 20:45:49 +08:00
dataset.txt initial 2024-06-22 20:45:49 +08:00
dog_bike_car_416x416.jpg initial 2024-06-22 20:45:49 +08:00
result_truth.jpg initial 2024-06-22 20:45:49 +08:00
test.py initial 2024-06-22 20:45:49 +08:00
yolov3.cfg initial 2024-06-22 20:45:49 +08:00
yolov3_utils.py initial 2024-06-22 20:45:49 +08:00

README.md

Darknet YOLO V3

Model Source

The model used in this example come from the following open source projects:
https://pjreddie.com/darknet/yolo/
The 'yolov3.cfg' changed the width & height from 608 to 416 on the basis of https://github.com/pjreddie/darknet/blob/master/cfg/yolov3.cfg

Script Usage

Usage:

python test.py

Description:

  • The default target platform in script is 'rk3566', please modify the 'target_platform' parameter of 'rknn.config' according to the actual platform.
  • If connecting board is required, please add the 'target' parameter in 'rknn.init_runtime'.

Expected Results

This example will save the result of object detection to the 'result.jpg', as follows:
result

  • Note: Different platforms, different versions of tools and drivers may have slightly different results.