问题描述

创乐博K230开启摄像头后，LCD屏幕上下左右颠倒

复现步骤

import os, gc
from libs.PlatTasks import DetectionApp
from libs.PipeLine import PipeLine
from libs.Utils import *

Set display mode: options are 'hdmi', 'lcd', 'lt9611', 'st7701', 'hx8399'

'hdmi' defaults to 'lt9611' (1920x1080); 'lcd' defaults to 'st7701' (800x480)

display_mode = "lcd"

Define the input size for the RGB888P video frames

rgb888p_size = [1280, 720]

Set root directory path for model and config

root_path = "/sdcard/mp_deployment_source/"

Load deployment configuration

deploy_conf = read_json(root_path + "/deploy_config.json")
kmodel_path = root_path + deploy_conf["kmodel_path"] # KModel path
labels = deploy_conf["categories"] # Label list
confidence_threshold = deploy_conf["confidence_threshold"] # Confidence threshold
nms_threshold = deploy_conf["nms_threshold"] # NMS threshold
model_input_size = deploy_conf["img_size"] # Model input size
nms_option = deploy_conf["nms_option"] # NMS strategy
model_type = deploy_conf["model_type"] # Detection model type
anchors = []
if model_type == "AnchorBaseDet":
anchors = deploy_conf["anchors"][0] + deploy_conf["anchors"][1] + deploy_conf["anchors"][2]

Inference configuration

inference_mode = "video" # Inference mode: 'video'
debug_mode = 0 # Debug mode flag

Create and initialize the video/display pipeline

pl = PipeLine(rgb888p_size=rgb888p_size, display_mode=display_mode)
pl.create()
display_size = pl.get_display_size()

Initialize object detection application

det_app = DetectionApp(inference_mode,kmodel_path,labels,model_input_size,anchors,model_type,confidence_threshold,nms_threshold,rgb888p_size,display_size,debug_mode=debug_mode)

Configure preprocessing for the model

det_app.config_preprocess()

Main loop: capture, run inference, display results

while True:
with ScopedTiming("total", 1):
img = pl.get_frame() # Capture current frame
res = det_app.run(img) # Run inference
det_app.draw_result(pl.osd_img, res) # Draw detection results
pl.show_image() # Show result on display
gc.collect() # Run garbage collection

Cleanup: These lines will only run if the loop is interrupted (e.g., by an IDE break or external interruption)

det_app.deinit() # De-initialize detection app
pl.destroy() # Destroy pipeline instance
模型训练后的代码运行
屏幕是3.5" 800*480 DSI Display V2.0

硬件板卡

canmv-k230-Lp4 V3.0

软件版本

CanMV_K230_V3P0_micropython_v1.8-0-gc2d1f5c_nncase_v2.11.0