TDA4VM: error while loading shared libraries: libdlr.so

maiunlei

Part Number: TDA4VM

Hi experts,

My version is ti-processor-sdk-rtos-j721e-evm-08_05_00_11-prebulid. I want to do image classification by "./bin/Release/app_edgeai ../configs/object_detection.yaml". There is a bug,

I found a similar problem. e2e.ti.com/.../4456201

but, I don 't know where to copy "libdlr.so" ?

There is a bug, how to solve this bug ?

Thank you

Looking forward to reply

over 3 years ago

+1 Pratik Kedar over 2 years ago

TI__Mastermind 24041 points

Hi,

maiunlei said:
but, I don 't know where to copy "libdlr.so" ?

These are part of targetfs directory, which is part of linux sdk package.

The libdlr.so file is located in targetNFS/usr/lib/python3.8/site-packages/dlr/libdlr.so.

Please make sure you run setup.sh this will generate targetNFS.

Regards,

Pratik

0 maiunlei over 2 years ago in reply to Pratik Kedar

Intellectual 332 points

Hi Pratik,

My version is RTOS-prebuild. So, i didn't find setup.sh in "opt/edge_ai_apps", as shown below.

Now, i run setup_script.sh, but there is a bug.

My network is no problem, as shown below.

I find install_dl_inferer.sh in"./scripts".

But, i can't find setup_script.sh in /opt/edgeai-dl-inferer.

how to solve this bug ?

Thank you

Looking forward to reply

0 maiunlei over 2 years ago in reply to Pratik Kedar

Intellectual 332 points

Hi Pratik,

My version is RTOS-prebuild. So, i didn't find setup.sh in "opt/edge_ai_apps", as shown below.

Now, i run setup_script.sh, but there is a bug.

My network is no problem, as shown below.

I find install_dl_inferer.sh in"./scripts".

But, i can't find setup_script.sh in /opt/edgeai-dl-inferer.

how to solve this bug ?

Thank you

Looking forward to reply

0 Pratik Kedar over 2 years ago in reply to maiunlei

TI__Mastermind 24041 points

Hi,

The binaries comes with rtos sdk are not compatible to run edge-ai-apps demos.

edge-ai-apps are supported on TDA4VM SK not EVM.

Please consider downloading PROCESSOR-SDK-LINUX-SK-TDA4VM available here : https://www.ti.com/tool/PROCESSOR-SDK-J721E

Please follow these documentations to prepare SD card, https://software-dl.ti.com/jacinto7/esd/processor-sdk-linux-edgeai/TDA4VM/08_06_00/exports/docs/devices/TDA4VM/linux/getting_started.html#preparing-sd-card-image

To run demos you can refer this documentation, https://software-dl.ti.com/jacinto7/esd/processor-sdk-linux-edgeai/TDA4VM/08_06_00/exports/docs/common/sample_apps.html

Regards,

Pratik

0 maiunlei over 2 years ago in reply to Pratik Kedar

Intellectual 332 points

Hi，

I don't understand why there are edge-ai-apps demos in the SDK since rtos sdk are not compatible to run edge-ai-apps demos ?

Regards,

maiunlei

0 Pratik Kedar over 2 years ago in reply to maiunlei

TI__Mastermind 24041 points

Hi,

We understand your concerns, however edge-ai-apps directory is not part RTOS package you have mentioned above.

For more clarification we have listed rootfs/opt/ directory modules list below.

drwxrwxr-x 3 4096 Dec 20 05:54 edgeai-tiovx-modules
drwxr-xr-x 6 4096 Dec 20 05:51 imaging
drwxrwxr-x 3 4096 Dec 20 05:51 tidl_test
drwxrwxr-x 3 4096 Dec 20 05:51 vision_apps
-rwxrwxr-x 1 14384 Dec 20 05:54 vx_app_arm_remote_log.out

In order to run edgeai demos we highly recommend to use below mentioned approach, which has rich amount of documentation available.

Pratik Kedar said:
Hi,

The binaries comes with rtos sdk are not compatible to run edge-ai-apps demos.

edge-ai-apps are supported on TDA4VM SK not EVM.

Please consider downloading PROCESSOR-SDK-LINUX-SK-TDA4VM available here : https://www.ti.com/tool/PROCESSOR-SDK-J721E

Please follow these documentations to prepare SD card, https://software-dl.ti.com/jacinto7/esd/processor-sdk-linux-edgeai/TDA4VM/08_06_00/exports/docs/devices/TDA4VM/linux/getting_started.html#preparing-sd-card-image

To run demos you can refer this documentation, https://software-dl.ti.com/jacinto7/esd/processor-sdk-linux-edgeai/TDA4VM/08_06_00/exports/docs/common/sample_apps.html

Regards,

Pratik

Thank you.

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TDA4VM: error while loading shared libraries: libdlr.so