from libs.PipeLine import PipeLine, ScopedTiming
from libs.YOLO import YOLOv8
import os,sys,gc
import ulab.numpy as np
import image
if __name__=="__main__":
# 显示模式,默认"hdmi",可以选择"hdmi"和"lcd"
display_mode="lcd"
rgb888p_size=[1280,720]
if display_mode=="hdmi":
display_size=[1920,1080]
else:
display_size=[800,480]
kmodel_path="/sdcard/examples/kmodel/best.kmodel"
labels = ["redball", "blueball","blackball","yellowball","redsection","bluesection","redboard","blueboard","shizi"]
# 其它参数设置
confidence_threshold = 0.25
nms_threshold=0.45
model_input_size=[320,320]
# 初始化PipeLine
pl=PipeLine(rgb888p_size=rgb888p_size,display_size=display_size,display_mode=display_mode)
pl.create()
# 初始化YOLOv8实例
yolo=YOLOv8(task_type="detect",mode="video",kmodel_path=kmodel_path,labels=labels,rgb888p_size=rgb888p_size,model_input_size=model_input_size,display_size=display_size,conf_thresh=confidence_threshold,nms_thresh=nms_threshold,max_boxes_num=50,debug_mode=0)
yolo.config_preprocess()
try:
while True:
os.exitpoint()
with ScopedTiming("total",1):
# 逐帧推理
img=pl.get_frame()
res=yolo.run(img)
yolo.draw_result(res,pl.osd_img)
print(res)
pl.show_image()
gc.collect()
except Exception as e:
sys.print_exception(e)
finally:
yolo.deinit()
pl.destroy()