RK3399pro debian10 系统下安装rknn-toolkit 1.7.0
本次安装方法是基于RK3399pro 官方开发板（RK_EVB_RK3399PRO_LP3S178P332SD8_V14_20191108_LINT)
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首先要安装镜像，将镜像root分区3GB变大，
方法如下：下载镜像链接：链接：百度网盘 请输入提取码
提取码：ubls
root@linaro-alip:/#
root@linaro-alip:/# fdisk -l
Disk /dev/ram0: 4 MiB, 4194304 bytes, 8192 sectors
Units: sectors of 1 * 512 = 512 bytes
Sector size (logical/physical): 512 bytes / 4096 bytes
I/O size (minimum/optimal): 4096 bytes / 4096 bytes
Disk /dev/mmcblk0: 14.6 GiB, 15634268160 bytes, 30535680 sectors
Units: sectors of 1 * 512 = 512 bytes
Sector size (logical/physical): 512 bytes / 512 bytes
I/O size (minimum/optimal): 512 bytes / 512 bytes
Disklabel type: gpt
Disk identifier: F90D0000-0000-4A02-8000-41A5000019ED
Device Start End Sectors Size Type
/dev/mmcblk0p1 16384 24575 8192 4M unknown
/dev/mmcblk0p2 24576 32767 8192 4M unknown
/dev/mmcblk0p3 32768 40959 8192 4M unknown
/dev/mmcblk0p4 40960 106495 65536 32M unknown
/dev/mmcblk0p5 106496 303103 196608 96M unknown
/dev/mmcblk0p6 303104 368639 65536 32M unknown
/dev/mmcblk0p7 368640 499711 131072 64M unknown
/dev/mmcblk0p8 499712 1548287 1048576 512M unknown
/dev/mmcblk0p9 1548288 30535646 28987359 13.8G unknown
Disk /dev/mmcblk0boot1: 4 MiB, 4194304 bytes, 8192 sectors
Units: sectors of 1 * 512 = 512 bytes
Sector size (logical/physical): 512 bytes / 512 bytes
I/O size (minimum/optimal): 512 bytes / 512 bytes
Disk /dev/mmcblk0boot0: 4 MiB, 4194304 bytes, 8192 sectors
Units: sectors of 1 * 512 = 512 bytes
Sector size (logical/physical): 512 bytes / 512 bytes
I/O size (minimum/optimal): 512 bytes / 512 bytes
root@linaro-alip:/# resize2fs /dev/mmcblk0p9
resize2fs 1.44.5 (15-Dec-2018)
Filesystem at /dev/mmcblk0p9 is mounted on /; on-line resizing required
old_desc_blocks = 1, new_desc_blocks = 2
[ 202.156834] EXT4-fs (mmcblk0p9): resizing filesystem from 912107 to 3623419 blocks
[ 202.372105] EXT4-fs (mmcblk0p9): resized filesystem to 3623419
The filesystem on /dev/mmcblk0p9 is now 3623419 (4k) blocks long.
root@linaro-alip:/# [ 223.159444] wl_run_escan: LEGACY_SCAN sync ID: 6, bssidx: 0
root@linaro-alip:/#
root@linaro-alip:/# ls
bin dev home lost+found media opt root sbin sys tmp var
boot etc lib md5sum.txt mnt proc run srv system usr
root@linaro-alip:/# df -
df: -: No such file or directory
root@linaro-alip:/# df -h
Filesystem Size Used Avail Use% Mounted on
/dev/root 14G 2.4G 11G 18% /
devtmpfs 1.9G 8.0K 1.9G 1% /dev
tmpfs 1.9G 0 1.9G 0% /dev/shm
tmpfs 1.9G 17M 1.9G 1% /run
tmpfs 5.0M 4.0K 5.0M 1% /run/lock
tmpfs 1.9G 0 1.9G 0% /sys/fs/cgroup
tmpfs 379M 8.0K 379M 1% /run/user/1000
/dev/mmcblk0p8 504M 2.3M 502M 1% /media/linaro/a4a71807-5b42-4064-a1e4-4faaa29191ca
/dev/mmcblk0p7 63M 13M 48M 21% /media/linaro/b3115340-7e34-4fd5-894e-5766b617b5b9
tmpfs 379M 0 379M 0% /run/user/0
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安装必要的软件：
由于rknn-toolkit 中tensorflow 依赖python 3.6的版本，而SDK默认提供的是Python 3.7 的版本，默认使用pip 进行安装会提示如下错误：
(venv) root@linaro-alip:/venv# ls
venv
(venv) root@linaro-alip:/venv# pip install --upgrade tensorflow
[24666.992199] wl_run_escan: LEGACY_SCAN sync ID: 394, bssidx: 0
ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
ERROR: No matching distribution found for tensorflow
(venv) root@linaro-alip:/venv#
需要单独下载arm tensorflow 进行安装。
报错解决方法：
下载tensorflow-1.15.5-cp37-cp37m-linux_aarch64.whl， 用adb push到板端，执行 pip install tensorflow-1.15.5-cp37-cp37m-linux_aarch64.whl
下载链接：https://tf.kmtea.eu/whl/stable.html 或者百度网盘：
2.1
sudo apt-get update
sudo apt-get install cmake gcc g++ libprotobuf-dev protobuf-compiler
sudo apt-get install liblapack-dev libjpeg-dev zlib1g-dev
sudo apt-get install python3-dev python3-pip python3-scipy
执行以下命令更新 pip
pip3 install --upgrade pip
安装 Python 打包工具
pip3 install wheel setuptools
安装依赖包 h5py/gluoncv
sudo apt-get build-dep python3-h5py && \
pip3 install h5py
pip3 install gluoncv
安装 TensorFlow
pip install /rknn-toolkit/packages/tensorflow-1.15.5-cp37-cp37m-linux_aarch64.whl
安装 torch 和 torchvision
暂时先用不着，先不安装
安装 opencv-python
pip3 install opencv-python==4.3.0.38 -i Simple Index --default-timeout=200
安装 RKNN-Toolkit
首先：将rknn-toolkit github demo 下载下来：
git clone https://github.com/rockchip-linux/rknn-toolkit
然后：下载rknn-toolkit 1.7.1 adb push 到板端
下载链接：https://github.com/rockchip-linux/rknn-toolkit 或者百度网盘：链接：百度网盘 请输入提取码提取码：6jp9
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