我rgb888p_size参数在[1280,720]时只有4~6 FPS，调成[640,640]大概也只有10FPS左右，我是用官方yoolo大作战上的示例代码看的，用的是yolov8s.pt训的，我想到27、28帧左右，请问大佬们还有没有其他方法可以提高帧率。
附上代码：
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=[640,640]
display_size=[800,480]
# if display_mode=="hdmi":
# display_size=[1920,1080]
# else:
# display_size=[800,480]
# 可以根据您的模型自行修改路径参数
kmodel_path="/data/yolo_kmodels/jiuyuan14.kmodel"
labels = ["red",
"blue",
"black",
"yellow",
"hong",
"lan",
"bai"]
confidence_threshold = 0.65
model_input_size=[640,640]
# 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,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)
pl.show_image()
gc.collect()
except Exception as e:
sys.print_exception(e)
finally:
yolo.deinit()
pl.destroy()
