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Line 146: − + − − + + Line 188:
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Line 260: − + − For Jetpack5.1.1:+ Line 359:
Line 361: − prebuilt Image on github:https://github.com/veyeimaging/nvidia_jetson_veye_bsp/tree/master/kernel_image+
→Overview
*Jetpack4.6.2,L4T r32.7.2
*Jetpack4.6.2,L4T r32.7.2
*Jetpack4.6.3,L4T r32.7.3
*Jetpack4.6.3,L4T r32.7.3
*Jetpack4.6.4,L4T r32.7.4
*Jetpack5.0.1DP, L4T r34.1.1
*Jetpack5.0.1DP, L4T r34.1.1
*Jetpack5.0.2, L4T r35.1
*Jetpack5.0.2, L4T r35.1
*Jetpack5.1,L4T r35.2.1
*Jetpack5.1,L4T r35.2.1
*Jetpack5.1.1,L4T r35.3.1
*Jetpack5.1.1,L4T r35.3.1
*Jetpack5.1.2,L4T r35.4.1
We provide two ways to do so: '''Prebuilt Binaries''' or '''Source Code. Yes, It's Open Source!'''
We provide two ways to do so: '''Prebuilt Binaries''' or '''Source Code. Yes, It's Open Source!'''
=====Nano A02=====
=====Nano A02=====
<code>tegra210-p3448-0000-p3449-0000-a02.dtb</code>
<code>tegra210-p3448-0000-p3449-0000-a02.dtb</code>
=====Nano B01 Devkit=====
===== Nano B01 =====
<code>tegra210-p3448-0000-p3449-0000-b00.dtb</code>
<code>tegra210-p3448-0000-p3449-0000-b00.dtb</code>
=====Nano B01 4G emmc=====
<code>tegra210-p3448-0002-p3449-0000-b00.dtb</code>
===== Nano 2GB =====
===== Nano 2GB =====
<code>tegra210-p3448-0003-p3542-0000.dtb</code>
<code>tegra210-p3448-0003-p3542-0000.dtb</code>
<code>tegra234-p3767-0003-p3768-0000-a0.dtb</code>
<code>tegra234-p3767-0003-p3768-0000-a0.dtb</code>
*Jetson Xavier Nano 4G (P3767-0004):
*Jetson Orin Nano 4G (P3767-0004):
<code>tegra234-p3767-0004-p3768-0000-a0.dtb</code>
<code>tegra234-p3767-0004-p3768-0000-a0.dtb</code>
2, The ones with fpdlink as suffix correspond to fpdlink coaxial model module.
2, The ones with fpdlink as suffix correspond to fpdlink coaxial model module.
3，MV-MIPI-MVCAM is the common dtb for all MV series and RAW series cameras.
3，MV-MIPI-MVCAM is the common dtb for all MV series and RAW series cameras, excluding RAW-MIPI-AR0234M and RAW-MIPI-IMX462M..
====Upgrade directly on the jetson board====
====Upgrade directly on the jetson board====
<code>sudo cp nvidia_jetson_veye_bsp/ko/$(uname -r)/* /lib/modules/$(uname -r)/kernel/drivers/media/i2c/ -f</code>
<code>sudo cp nvidia_jetson_veye_bsp/ko/$(uname -r)/* /lib/modules/$(uname -r)/kernel/drivers/media/i2c/ -f</code>
Specially，for Jetpack5.1:
'''Specially，for Jetpack5.1 version''':
<code>sudo cp nvidia_jetson_veye_bsp/ko/5.10.104-tegra-l4t35.2.1/* /lib/modules/$(uname -r)/kernel/drivers/media/i2c/ -f</code>
<code>sudo cp nvidia_jetson_veye_bsp/ko/5.10.104-tegra-l4t35.2.1/* /lib/modules/$(uname -r)/kernel/drivers/media/i2c/ -f</code>
'''Specially，for Jetpack5.1.1 version''':
<code>sudo cp nvidia_jetson_veye_bsp/ko/5.10.104-tegra-l4t35.3.1/* /lib/modules/$(uname -r)/kernel/drivers/media/i2c/ -f</code>
<code>sudo cp nvidia_jetson_veye_bsp/ko/5.10.104-tegra-l4t35.3.1/* /lib/modules/$(uname -r)/kernel/drivers/media/i2c/ -f</code>
<code>export RELEASE_PACK_DIR=$L4T_DIR/nvidia_jetson_veye_bsp</code>
<code>export RELEASE_PACK_DIR=$L4T_DIR/nvidia_jetson_veye_bsp</code>
=====Upgrade Image and DTB=====
=====Upgrade Image and DTB=====
Extract the downloaded `nvidia_jetson_veye_bsp.tar.gz`, and locate the Image corresponding to the specific version.
*Installing the Kernel
*Installing the Kernel