由于屏幕较大首先精简系统内存，关闭DSP核心，并将 RV 核心移到 HSPSRAM 上提高带宽。配置 LV_COLOR_DEPTH 16 提高帧率降低内存占用

patch 如下，增加了新方案r128-devkit-rgb：161ca91b-f759-4108-8bfc-85114394da0c-r128-devkit-rgb.tar.gz

编译打包即可

700ms启动 LVGL：

@willok 发表一个回复就是LV2了

@luminous

@yinjc

@hctdqz 然后你LV3了

回复2条帖子就是LV2了，发一个贴直接LV2

@woxow 把你的proxy代理关了

Linux都没启动，先检查为什么Linux没启动

目前板子处于烧录下载模式，显示 USB Device (VID_xxxx_PID_xxxx)，需要进入系统后才是adb模式，显示 Tina ADB

参照opencv的编写使用cmake的makefile

include $(TOPDIR)/rules.mk

PKG_NAME:=opencv
PKG_VERSION:=4.1.1
PKG_RELEASE:=1

PKG_SOURCE_PROTO:=git
PKG_SOURCE_URL:=https://github.com/opencv/opencv
PKG_SOURCE_VERSION:=$(PKG_VERSION)
PKG_MIRROR_HASH:=c8587820421d2f22acdafe4712d068ae490897dc445bdb4aa128ecaa8e65d3a1

PKG_MAINTAINER:=
PKG_LICENSE:=BSD-3-Clause
PKG_LICENSE_FILES:=LICENSE

CMAKE_INSTALL:=1
CMAKE_BINARY_SUBDIR:=build
PKG_BUILD_PARALLEL:=1
PKG_USE_MIPS16:=0

include $(INCLUDE_DIR)/package.mk
include $(INCLUDE_DIR)/cmake.mk

define Package/opencv/Default/description
 OpenCV (Open Source Computer Vision Library) is an open source computer
 vision and machine learning software library. OpenCV was built to provide
 a common infrastructure for computer vision applications and to accelerate
 the use of machine perception in the commercial products. Being a
 BSD-licensed product, OpenCV makes it easy for businesses to utilize
 and modify the code.
endef

define Package/opencv
  SECTION:=libs
  CATEGORY:=Libraries
  TITLE:=OpenCV
  URL:=https://opencv.org/
  DEPENDS:=+libpthread +librt +libatomic +libstdcpp +zlib +libjpeg +python3 +python3-numpy
endef

CMAKE_OPTIONS += \
	-DBUILD_opencv_gpu:BOOL=OFF \
	-DWITH_1394:BOOL=OFF -DBUILD_opencv_stitching:BOOL=OFF \
	-DBUILD_opencv_superres:BOOL=OFF -DBUILD_opencv_ts:BOOL=OFF \
	-DBUILD_opencv_highgui:BOOL=ON \
	-DBUILD_opencv_videostab:BOOL=OFF \
	-DWITH_FFMPEG:BOOL=OFF \
	-DWITH_GSTREAMER:BOOL=OFF \
	-DWITH_LIBV4L:BOOL=ON \
	-DWITH_PNG:BOOL=OFF \
	-DWITH_GTK:BOOL=OFF \
	-DWITH_TIFF:BOOL=OFF \
	-DCMAKE_VERBOSE:BOOL=OFF \
	-DENABLE_PRECOMPILED_HEADERS=OFF \
	-DPYTHON3_INCLUDE_PATH=$(STAGING_DIR)/usr/include/python3.9 \
	-DPYTHON3_LIBRARIES=$(STAGING_DIR)/usr/lib/libpython3.9.so \
	-DPYTHON3_NUMPY_INCLUDE_DIRS=$(TARGET_ROOTFS_DIR)/pypi/numpy-1.20.1/ipkg-install/usr/lib/python3.9/site-packages/numpy/core/include \
	-DBUILD_OPENCV_PYTHON3:BOOL=ON

TARGET_LDFLAGS += -latomic

define Package/opencv/install
	$(INSTALL_DIR) $(1)/usr/lib
	$(CP) $(PKG_INSTALL_DIR)/usr/lib/* $(1)/usr/lib/
endef

$(eval $(call BuildPackage,opencv))

UDISK属性写错了

屏参改一下

lcd_driver_name     = "default_lcd"
lcd_backlight       = 150
lcd_if              = 0
lcd_x               = 1024
lcd_y               = 600
lcd_width           = 150
lcd_height          = 94
lcd_rb_swap         = 0
lcd_dclk_freq       = 48
lcd_pwm_used        = 1
lcd_pwm_ch          = 7
lcd_pwm_freq        = 500000
lcd_pwm_pol         = 1
lcd_hbp             = 160
lcd_ht              = 1344
lcd_hspw            = 20
lcd_vbp             = 20
lcd_vt              = 635
lcd_vspw            = 3
lcd_lvds_if         = 0
lcd_lvds_colordepth = 1
lcd_lvds_mode       = 0
lcd_frm             = 0
lcd_io_phase        = 0x0000
lcd_gamma_en        = 0
lcd_bright_curve_en = 0
lcd_cmap_en         = 0

@masterlu 64G内存，本地磁盘500G

@masterlu
测试复现过程：
出现错误

重开终端清除编译环境和之前编译输出后重新编译正常

感觉是环境配置有问题
试试：

1. 重开一个终端
2. 重新 source build/envsetup.sh
3. 重新 ./longan/build.sh config
4. ./longan/build.sh distclean
5. make installclean
6. lunch

@huangyuhan 没有配置默认保存用户名密码，需要多次输入

@zhouyuan369 删除文件夹内的.repo隐藏文件夹重新拉取

@sunxi source后 mkmpp，你的环境变量没有导入，不能直接make mk文件

@zhouyuan369 网盘要怎么接收后续更新呢，重新下载25G的压缩包吗？

可以看 《Linux_Display_开发指南.pdf》 不过这个也没有设备树的配置描述，更多是源码描述

由于屏幕较大首先精简系统内存，关闭DSP核心，并将 RV 核心移到 HSPSRAM 上提高带宽。配置 LV_COLOR_DEPTH 16 提高帧率降低内存占用

patch 如下，增加了新方案r128-devkit-rgb：161ca91b-f759-4108-8bfc-85114394da0c-r128-devkit-rgb.tar.gz

编译打包即可

700ms启动 LVGL：