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tofu

tofu

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Daniel15 said:
Frigate uses "tiny" models and a lot of people still find value in it. Some even use Frigate and BI concurrently for whatever reason.
Click to expand...

ignorance is bliss, i guess?
 
Mad_Marik

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MikeLud1 said:
It looks like it never download for some reason. Maybe give it a try again.
Click to expand...
No joy, same error, restarted service, and restarted computer. Should try full uninstall and reinstall?

When I tried the restart of the service, it did hang a bit, then failed to restart, so I had to manually start it (which it did fine) but the error was still there.
 
MikeLud1

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Mad_Marik said:
No joy, same error, restarted service, and restarted computer. Should try full uninstall and reinstall?

When I tried the restart of the service, it did hang a bit, then failed to restart, so I had to manually start it (which it did fine) but the error was still there.
Click to expand...
Is the any more errors in the log then Error in Install TrainingYoloV5: Call failed.
 
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wpiman

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Mike...

I pulled the latest docker image on my Orange Pi 5. I can see the RKNN object detection module. However, when I go to start it, I get an error.

Are you running it natively? Have you tried it in docker? I am wondering if I need to pass through any device....

Screenshot 2023-08-06 at 10.07.20 AM.png

10:06:48:Error trying to start Object Detection (YOLOv5 RKNN) (objectdetection_fd_rknn_adapter.py)
10:06:48:An error occurred trying to start process '/app/modules/ObjectDetectionYoloRKNN/bin/linux/python39/venv/bin/python3' with working directory '/app/modules/ObjectDetectionYoloRKNN'. No such file or directory
10:06:48: at System.Diagnostics.Process.ForkAndExecProcess(ProcessStartInfo startInfo, String resolvedFilename, String[] argv, String[] envp, String cwd, Boolean setCredentials, UInt32 userId, UInt32 groupId, UInt32[] groups, Int32& stdinFd, Int32& stdoutFd, Int32& stderrFd, Boolean usesTerminal, Boolean throwOnNoExec)
at System.Diagnostics.Process.StartCore(ProcessStartInfo startInfo)
at CodeProject.AI.API.Server.Frontend.ModuleProcessServices.StartProcess(ModuleConfig module)
10:06:48:please check the CodeProject.AI installation completed successfully
10:06:48:
 
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root@ec1b83340bc4:/app/modules/ObjectDetectionYoloRKNN# cat install.log
2023-08-06 14:01:00: Hi Docker! We will disable shared python installs for downloaded modules
2023-08-06 14:01:00: No schemas installed
2023-08-06 14:01:00: (No schemas means: we can't detect if you're in light or dark mode)
2023-08-06 14:01:00: Setting up CodeProject.AI Development Environment
2023-08-06 14:01:00: ======================================================================
2023-08-06 14:01:00: CodeProject.AI Installer
2023-08-06 14:01:00: ======================================================================
2023-08-06 14:01:00: Checking GPU support
2023-08-06 14:01:00: CUDA Present...No
2023-08-06 14:01:00: Allowing GPU Support: Yes
2023-08-06 14:01:00: Allowing CUDA Support: Yes
2023-08-06 14:01:00: General CodeProject.AI setup
2023-08-06 14:01:00: Creating Directories...Done
2023-08-06 14:01:00: Installing module ObjectDetectionYoloRKNN
2023-08-06 14:01:00: /app/modules/ObjectDetectionYoloRKNN/install.sh: line 22: /sys/firmware/devicetree/base/model: No such file or directory
2023-08-06 14:01:00: ObjectDetection (Fast Deploy RKNN) can only be installed on Orange Pi devices
Installer exited with code 0
root@ec1b83340bc4:/app/modules/ObjectDetectionYoloRKNN# ls /sys/firmware/
root@ec1b83340bc4:/app/modules/ObjectDetectionYoloRKNN#
 
MikeLud1

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wpiman said:
Mike...

I pulled the latest docker image on my Orange Pi 5. I can see the RKNN object detection module. However, when I go to start it, I get an error.

Are you running it natively? Have you tried it in docker? I am wondering if I need to pass through any device....

View attachment 169447

10:06:48:Error trying to start Object Detection (YOLOv5 RKNN) (objectdetection_fd_rknn_adapter.py)
10:06:48:An error occurred trying to start process '/app/modules/ObjectDetectionYoloRKNN/bin/linux/python39/venv/bin/python3' with working directory '/app/modules/ObjectDetectionYoloRKNN'. No such file or directory
10:06:48: at System.Diagnostics.Process.ForkAndExecProcess(ProcessStartInfo startInfo, String resolvedFilename, String[] argv, String[] envp, String cwd, Boolean setCredentials, UInt32 userId, UInt32 groupId, UInt32[] groups, Int32& stdinFd, Int32& stdoutFd, Int32& stderrFd, Boolean usesTerminal, Boolean throwOnNoExec)
at System.Diagnostics.Process.StartCore(ProcessStartInfo startInfo)
at CodeProject.AI.API.Server.Frontend.ModuleProcessServices.StartProcess(ModuleConfig module)
10:06:48:please check the CodeProject.AI installation completed successfully
10:06:48:
Click to expand...
Below is how I run the docker container. One note you need to create "/etc/codeproject/ai" and "/app/modules" folders under your user folder first before running

Code: 
docker run --restart=always --name CodeProject.AI-Server-arm64-2.1.10 -d -p 32168:32168 \
 -t -i --privileged -v /dev/bus/usb:/dev/bus/usb \
 --mount type=bind,source=./etc/codeproject/ai,target=/etc/codeproject/ai \
 --mount type=bind,source=./opt/codeproject/ai,target=/app/modules \
   codeproject/ai-server:arm64-2.1.10
 
MikeLud1

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wpiman said:
root@ec1b83340bc4:/app/modules/ObjectDetectionYoloRKNN# cat install.log
2023-08-06 14:01:00: Hi Docker! We will disable shared python installs for downloaded modules
2023-08-06 14:01:00: No schemas installed
2023-08-06 14:01:00: (No schemas means: we can't detect if you're in light or dark mode)
2023-08-06 14:01:00: Setting up CodeProject.AI Development Environment
2023-08-06 14:01:00: ======================================================================
2023-08-06 14:01:00: CodeProject.AI Installer
2023-08-06 14:01:00: ======================================================================
2023-08-06 14:01:00: Checking GPU support
2023-08-06 14:01:00: CUDA Present...No
2023-08-06 14:01:00: Allowing GPU Support: Yes
2023-08-06 14:01:00: Allowing CUDA Support: Yes
2023-08-06 14:01:00: General CodeProject.AI setup
2023-08-06 14:01:00: Creating Directories...Done
2023-08-06 14:01:00: Installing module ObjectDetectionYoloRKNN
2023-08-06 14:01:00: /app/modules/ObjectDetectionYoloRKNN/install.sh: line 22: /sys/firmware/devicetree/base/model: No such file or directory
2023-08-06 14:01:00: ObjectDetection (Fast Deploy RKNN) can only be installed on Orange Pi devices
Installer exited with code 0
root@ec1b83340bc4:/app/modules/ObjectDetectionYoloRKNN# ls /sys/firmware/
root@ec1b83340bc4:/app/modules/ObjectDetectionYoloRKNN#
Click to expand...
Also what image did you use for the OS, I am using Armbian 23.5 Jammy Gnome

www.armbian.com

Orange Pi 5 / 5B / 5 Plus

Enable 3D Acceleration (Ubuntu Gnome Jammy variant only): sudo add-apt-repository ppa:liujianfeng1994/panfork-mesa sudo add-apt-repository ppa:liujianfeng1994/rockchip-multimedia sudo apt update sudo apt dist-upgrade sudo apt install mali-g610-firmware rockchip-multimedia-config Additional...
www.armbian.com www.armbian.com
 
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wpiman

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MikeLud1 said:
Also what image did you use for the OS, I am using Armbian 23.5 Jammy Gnome

www.armbian.com

Orange Pi 5 / 5B / 5 Plus

Enable 3D Acceleration (Ubuntu Gnome Jammy variant only): sudo add-apt-repository ppa:liujianfeng1994/panfork-mesa sudo add-apt-repository ppa:liujianfeng1994/rockchip-multimedia sudo apt update sudo apt dist-upgrade sudo apt install mali-g610-firmware rockchip-multimedia-config Additional...
www.armbian.com www.armbian.com
Click to expand...
Ubuntu...

mike@orangepi5:/dev$ cat /etc/os-release
PRETTY_NAME="Orange Pi 1.1.4 Jammy"
NAME="Ubuntu"
VERSION_ID="22.04"
VERSION="22.04.2 LTS (Jammy Jellyfish)"
VERSION_CODENAME=jammy
ID=ubuntu
ID_LIKE=debian
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
UBUNTU_CODENAME=jammy

Here is my docker-compose file.... I am not passing the USB on through. Is that for RKNN or for something else (CoralTPu?). I'll give that a shot...

I have those directories mounted...

services:
codeprojetai:
container_name: ai-server
build: .
image: codeproject/ai-server:arm64-2.1.10
volumes:
- ./data:/etc/codeproject/ai
- ./modules:/app/modules
ports:
- 32168:32168
restart: unless-stopped
 
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wpiman

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Ok...

I passed that through. I see it in the container...

root@dffc6542bc73:/dev/bus/usb# ls
001 002 003 004 005 006 007 008
root@dffc6542bc73:/dev/bus/usb#


Latest YAML...

mike@orangepi5:~/Docker/aiServer$ cat docker-compose.yml

services:
codeprojetai:
container_name: ai-server
build: .
image: codeproject/ai-server:arm64-2.1.10
volumes:
- ./data:/etc/codeproject/ai
- ./modules:/app/modules
ports:
- 32168:32168
devices:
- /dev/bus/usb:/dev/bus/usb
privileged: true
restart: unless-stopped

Still having some issues. Going to blow away my directories and try from scratch....
 
MikeLud1

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wpiman said:
Ubuntu...

mike@orangepi5:/dev$ cat /etc/os-release
PRETTY_NAME="Orange Pi 1.1.4 Jammy"
NAME="Ubuntu"
VERSION_ID="22.04"
VERSION="22.04.2 LTS (Jammy Jellyfish)"
VERSION_CODENAME=jammy
ID=ubuntu
ID_LIKE=debian
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
UBUNTU_CODENAME=jammy

Here is my docker-compose file.... I am not passing the USB on through. Is that for RKNN or for something else (CoralTPu?). I'll give that a shot...

I have those directories mounted...

services:
codeprojetai:
container_name: ai-server
build: .
image: codeproject/ai-server:arm64-2.1.10
volumes:
- ./data:/etc/codeproject/ai
- ./modules:/app/modules
ports:
- 32168:32168
restart: unless-stopped
Click to expand...
Also make sure you are installing V1.1 not V1.0 there was an install issue with V1.0.

1691336024313.png
 
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Ok, so I went back to 2.1.9-- installed version 1.1 of the RKNN successfully... Then I moved to 2.1.10 and I ran the object detection.

Very fast.... Very nice! Not sure why I don't see version numbers in 2.1.10??!!
 
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direkt

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Is there a way to load custom models with the RPI docker image while using the Coral or TF-Lite option? I only have one in the drop down.

1691343271423.png
 
MikeLud1

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wpiman said:
Ok, so I went back to 2.1.9-- installed version 1.1 of the RKNN successfully... Then I moved to 2.1.10 and I ran the object detection.

Very fast.... Very nice! Not sure why I don't see version numbers in 2.1.10??!!
Click to expand...
Try refreshing the page by doing a Ctrl+F5, I think it might fix it.
 
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