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:
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:
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))
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
感觉是环境配置有问题
试试:
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: