CodeProject.AI Discussions

Re: After upgrade: Unable to start the server: An item with the same key has already been added

8-Apr-24 5:42

Can you please look in your /modules folder and list the folders there?

Could also be that you simply need to re-install the module. What platform are you running on?

Thanks,
Sean Ewington
CodeProject

Sean Ewington15-Apr-24 7:00

Code Project AI Mesh How can Sync database -- Resolved

15-Apr-24 7:00

This issue has been found, fixed and will be available in the next version.

Thanks,
Sean Ewington
CodeProject

Phạm Thanh Tân5-Apr-24 22:02

Phạm Thanh Tân

5-Apr-24 22:02

In future, Face Recognition can sync database?
or something I miss information for do that?

modified 16-Apr-24 12:05pm.

Re: Code Project AI Mesh How can Sync database

Chris Maunder8-Apr-24 6:49

Chris Maunder

8-Apr-24 6:49

No plans at the moment, sorry.

cheers
Chris Maunder

Tried to update to 2.6.2 and Yolo 6.2 fails to install. -- Try this workaround

Member 160043575-Apr-24 17:21

Member 16004357

5-Apr-24 17:21

Error message:

14:15:31:Started Object Detection (YOLOv5 6.2) module
14:15:31:detect_adapter.py: Traceback (most recent call last):
14:15:31:detect_adapter.py:   File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-6.2\detect_adapter.py", line 13, in 
14:15:31:detect_adapter.py:     from module_runner import ModuleRunner
14:15:31:detect_adapter.py:   File "../../SDK/Python\module_runner.py", line 30, in 
14:15:31:detect_adapter.py:     import aiohttp
14:15:31:detect_adapter.py: ModuleNotFoundError: No module named 'aiohttp'

modified 16-Apr-24 12:05pm.

Re: Tried to update to 2.6.2 and Yolo 6.2 fails to install.

Member 160043575-Apr-24 19:06

Member 16004357

5-Apr-24 19:06

It fails if you choose to only install Yolo 6.2, if you set it to install all the default options of Yolo 5 and face, it works.

Re: Tried to update to 2.6.2 and Yolo 6.2 fails to install.

Sean Ewington8-Apr-24 5:30

Avoid shutting down coral TPU -- Resolved

8-Apr-24 5:30

Please try re-installing the module. This user had the same error as you, and resolved it this way:
CodeProject.AI Server: AI the easy way.[^]

Thanks,
Sean Ewington
CodeProject

ChrisBGL5-Apr-24 1:14

ChrisBGL

5-Apr-24 1:14

Is there a way to prevent the TPU from automatically shutting down after 120 seconds of inactivity? It takes quite a while for an image to be recognized afterwards.

12:41:19:System:           Docker (fa0761f44809)
12:41:19:Operating System: Linux (Ubuntu 22.04)
12:41:19:CPUs:             13th Gen Intel(R) Core(TM) i5-1340P (Intel)
12:41:19:                  1 CPU x 12 cores. 16 logical processors (x64)
12:41:19:System RAM:       31 GiB
12:41:19:Platform:         Linux
12:41:19:BuildConfig:      Release
12:41:19:Execution Env:    Docker
12:41:19:Runtime Env:      Production
12:41:19:Runtimes installed:
12:41:19:  .NET runtime:     7.0.17
12:41:19:  .NET SDK:         Not found
12:41:19:  Default Python:   3.10.12
12:41:19:  Go:               Not found
12:41:19:  NodeJS:           Not found
12:41:19:  Rust:             Not found
12:41:19:App DataDir:      /etc/codeproject/ai
12:41:19:Video adapter info:
12:41:19:STARTING CODEPROJECT.AI SERVER
12:41:19:RUNTIMES_PATH             = /app/runtimes
12:41:19:PREINSTALLED_MODULES_PATH = /app/preinstalled-modules
12:41:19:DEMO_MODULES_PATH         = /app/demos/modules
12:41:19:MODULES_PATH              = /app/modules
12:41:19:PYTHON_PATH               = /bin/linux/%PYTHON_NAME%/venv/bin/python3
12:41:19:Data Dir                  = /etc/codeproject/ai
12:41:19:Server version:   2.6.2

12:45:04:Started Object Detection (Coral) module
12:45:08:objectdetection_coral_adapter.py: TPU detected
12:45:08:objectdetection_coral_adapter.py: Attempting multi-TPU initialisation
12:45:08:objectdetection_coral_adapter.py: Supporting multiple Edge TPUs
12:45:48:Response rec'd from Object Detection (Coral) command 'detect' (...8c51a5) ['Found car, car, car...']  took 245ms
12:45:56:Response rec'd from Object Detection (Coral) command 'detect' (...3a38f2) ['Found car, car, car...']  took 75ms
12:45:57:Response rec'd from Object Detection (Coral) command 'detect' (...1c094c) ['Found car, car, car...']  took 80ms
12:45:57:Response rec'd from Object Detection (Coral) command 'detect' (...cb4a86) ['Found car, car, car...']  took 74ms
12:45:58:Response rec'd from Object Detection (Coral) command 'detect' (...08b14a) ['Found car, car, car...']  took 75ms
12:45:58:Response rec'd from Object Detection (Coral) command 'detect' (...ec2923) ['Found car, car, car...']  took 78ms
12:46:45:Response rec'd from Object Detection (Coral) command 'custom' (...229416) ['Found car, car, car...']  took 80ms
12:46:46:Response rec'd from Object Detection (Coral) command 'detect' (...d7ac0a) ['Found car, car, car...']  took 74ms
12:46:47:Response rec'd from Object Detection (Coral) command 'custom' (...883f24) ['Found car, car, car...']  took 74ms
12:48:50:objectdetection_coral_adapter.py: WARNING:root:No work in 120.0 seconds, watchdog shutting down TPUs.
12:56:18:Response rec'd from Object Detection (Coral) command 'detect' (...0b333f) ['Found car, person, car...']  took 3430ms
13:04:01:Response rec'd from Object Detection (Coral) command 'custom' (...14da1e) ['Found car, car, car...']  took 54ms

modified 5-Apr-24 17:46pm.

Re: Avoid shutting down coral TPU

mailseth25-Apr-24 7:42

mailseth2

5-Apr-24 7:42

Thanks for pointing this out. I'm not sure why it'd take so long to start up. (For example, it looks like your first iteration took 245ms.) The intent is if something is stalled for whatever reason in the processing pipeline, the watchdog will reset things in the background so CPAI doesn't sit stalled for hours.

I've added some code that should make the recycle process faster and I've increased the watchdog timeout so it takes longer to trigger. Likely in the next CPAI release. Hopefully that'll fix the problem for you.

Re: Avoid shutting down coral TPU

Member 1624433115-Apr-24 22:56

Member 16244331

15-Apr-24 22:56

I also experience this, with the first detection after the TPU has shutdown often taking > 2 seconds.. which seems to have the knock on effect of making a TPU equipped host report a very high detection time to mesh hosts, and thus never receiving any mesh offload work unless I run a load of detections through manually to get the time down Frown | :(

object detection yolov5.net 1.10.1 -- Resolved

Joey War4-Apr-24 8:25

4-Apr-24 8:25

With object detection yolov5.net 1.10.1 i just update and i cant get it to use the gpu ( i have a P1000) i select it in the menu it restarts and go back to CPU (DirectML) is this a bug ?

What I have tried:

ReInstall object detection yolov5.net 1.10.1 , pc restart , reinstalling CPAI

modified 5-Apr-24 17:46pm.

Sean Ewington4-Apr-24 8:33

4-Apr-24 8:33

Thanks very much for your report. Could you please share your System Info tab from your CodeProject.AI Server dashboard?

Thanks,
Sean Ewington
CodeProject

Joey War4-Apr-24 9:34

Whats-App-Image-2024-04-04-at-19-47-27-4b5099a7 hosted at ImgBB — ImgBB[^]

4-Apr-24 9:34

Mike Lud4-Apr-24 9:40

Mike Lud

4-Apr-24 9:40

Sean

It looks like a code typo mine is showing CPU, I tested it and it is definitely using the GPU.

Matthew Dennis4-Apr-24 11:04

Matthew Dennis

4-Apr-24 11:04

Mike,
Could you please send my your System Info tab contents.

Thanks,

"Mistakes are prevented by Experience. Experience is gained by making mistakes."

Mike Lud4-Apr-24 11:21

Mike Lud

4-Apr-24 11:21

Both of my systems are showing CPU

Server version:   2.6.2
System:           Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs:             AMD Ryzen 9 5950X 16-Core Processor             (AMD)
                  1 CPU x 16 cores. 32 logical processors (x64)
GPU (Primary):    NVIDIA GeForce RTX 4090 (24 GiB) (NVIDIA) 
                  Driver: 551.86, CUDA: 12.4 (up to: 12.4), Compute: 8.9, cuDNN: 8.9
System RAM:       128 GiB
Platform:         Windows
BuildConfig:      Release
Execution Env:    Native
Runtime Env:      Production
Runtimes installed:
  .NET runtime:     7.0.17
  .NET SDK:         7.0.203
  Default Python:   3.11.0
  Go:               Not found
  NodeJS:           20.8.1
  Rust:             Not found
Video adapter info:
  NVIDIA GeForce RTX 4090:
    Driver Version     31.0.15.5186
    Video Processor    NVIDIA GeForce RTX 4090
System GPU info:
  GPU 3D Usage       1%
  GPU RAM Usage      6 GiB
Global Environment variables:
  CPAI_APPROOTPATH = <root>
  CPAI_PORT        = 32168

Server version:   2.6.2
System:           Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs:             AMD Ryzen 9 3950X 16-Core Processor             (AMD)
                  1 CPU x 16 cores. 32 logical processors (x64)
GPU (Primary):    NVIDIA GeForce RTX 3060 (12 GiB) (NVIDIA) 
                  Driver: 551.86, CUDA: 12.4 (up to: 12.4), Compute: 8.6, cuDNN: 8.9
System RAM:       64 GiB
Platform:         Windows
BuildConfig:      Release
Execution Env:    Native
Runtime Env:      Production
Runtimes installed:
  .NET runtime:     7.0.5
  .NET SDK:         Not found
  Default Python:   3.10.1
  Go:               Not found
  NodeJS:           Not found
  Rust:             Not found
Video adapter info:
  NVIDIA GeForce RTX 3060:
    Driver Version     31.0.15.5186
    Video Processor    NVIDIA GeForce RTX 3060
System GPU info:
  GPU 3D Usage       3%
  GPU RAM Usage      6.8 GiB
Global Environment variables:
  CPAI_APPROOTPATH = <root>
  CPAI_PORT        = 32168

Matthew Dennis4-Apr-24 11:19

Matthew Dennis

4-Apr-24 11:19

Mike, you are correct, it must be a type. DirectML will not be displayed without whatever graphics driver installed on the Windows system being used.

"Mistakes are prevented by Experience. Experience is gained by making mistakes."

Joey War4-Apr-24 11:42

4-Apr-24 11:42

Does object detection yolov5.net is it normal to take 20% of a i7 6700 cpu even when it set to use GPU

Matthew Dennis4-Apr-24 11:50

Matthew Dennis

4-Apr-24 11:50

I have confirmed it is a typo in the code. Not the one you would expect, but it still causes the error.
I have fixed the code and it will be in the next release.

"Mistakes are prevented by Experience. Experience is gained by making mistakes."

Joey War4-Apr-24 22:36

YOLOv8 Fresh install on 2.6.2 -- TODO

4-Apr-24 22:36

Thank you

rdcrumbaker4-Apr-24 4:04

rdcrumbaker

4-Apr-24 4:04

What would this be?

08:59:27:
08:59:27:Started Object Detection (YOLOv8) module
09:00:19:Object Detection (YOLOv8):  [AttributeError] : Traceback (most recent call last):
  File "/app/modules/ObjectDetectionYOLOv8/detect.py", line 147, in do_detection
    results            = detector.predict(img, imgsz=resolution, half=use_half_precision,
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/model.py", line 266, in predict
    self.predictor.setup_model(model=self.model, verbose=is_cli)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 341, in setup_model
    self.model = AutoBackend(
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/autobackend.py", line 141, in __init__
    model = model.fuse(verbose=verbose) if fuse else model
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/tasks.py", line 176, in fuse
    delattr(m, "bn")  # remove batchnorm
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1266, in __delattr__
    object.__delattr__(self, name)
AttributeError: bn
09:00:19:Response rec'd from Object Detection (YOLOv8) command 'detect' (...8d4e22)

Everything installed successfully without error, but the YOLOv8 didn't automattically start, I had to start it.

Here is my SystemInfo:

Server version:   2.6.2
System:           Docker (Linux 5.10.102.1-microsoft-standard-WSL2 #1 SMP Wed Mar 2 00:30:59 UTC 2022)
Operating System: Linux (Ubuntu 22.04)
CPUs:             AMD Ryzen Threadripper 3960X 24-Core Processor (AMD)
                  1 CPU x 24 cores. 48 logical processors (x64)
GPU (Primary):    NVIDIA GeForce RTX 3070 (8 GiB) (NVIDIA) 
                  Driver: 551.23, CUDA: 12.4 (up to: 12.4), Compute: 8.6, cuDNN: 8.9.6
System RAM:       63 GiB
Platform:         Linux
BuildConfig:      Release
Execution Env:    Docker
Runtime Env:      Production
Runtimes installed:
  .NET runtime:     7.0.17
  .NET SDK:         Not found
  Default Python:   3.10.12
  Go:               Not found
  NodeJS:           Not found
  Rust:             Not found
Video adapter info:
System GPU info:
  GPU 3D Usage       25%
  GPU RAM Usage      7.5 GiB
Global Environment variables:
  CPAI_APPROOTPATH = <root>
  CPAI_PORT        = 32168

modified 5-Apr-24 17:46pm.

Re: YOLOv8 Fresh install on 2.6.2

Sean Ewington4-Apr-24 7:34

Re: YOLOv8 Fresh install on 2.6.2

4-Apr-24 7:34

Thanks very much for your message. The YOLOv8 module isn't set to start automatically. What should happen is, once you start the module once, it should auto-start next time.

Thanks,
Sean Ewington
CodeProject

rdcrumbaker5-Apr-24 4:50

rdcrumbaker

5-Apr-24 4:50

OK, I get that it will restart on it's own.
However, what about these errors? This is a new install, uninstalled YOLOv8 and reinstalled it.

When it starts, I get the following (maybe I shouldn't be concerned about it...but maybe others are seeing it as well...or maybe you just need to know it)

Here is what I see - HINT: LOOK AT 9:45:19 timestamp :

09:44:20:Server: This is the latest version
09:44:21:
09:44:21:Module 'Object Detection (YOLOv8)' 1.4.2 (ID: ObjectDetectionYOLOv8)
09:44:21:Valid:         True
09:44:21:Module Path:   <root>/modules/ObjectDetectionYOLOv8
09:44:21:AutoStart:     True
09:44:21:Queue:         objectdetection_queue
09:44:21:Runtime:       python3.8
09:44:21:Runtime Loc:   Shared
09:44:21:FilePath:      detect_adapter.py
09:44:21:Start pause:   1 sec
09:44:21:Parallelism:   0
09:44:21:LogVerbosity:
09:44:21:Platforms:     all
09:44:21:GPU Libraries: installed if available
09:44:21:GPU Enabled:   enabled
09:44:21:Accelerator:
09:44:21:Half Precis.:  enable
09:44:21:Environment Variables
09:44:21:APPDIR            = <root>/modules/ObjectDetectionYOLOv8
09:44:21:CUSTOM_MODELS_DIR = <root>/modules/ObjectDetectionYOLOv8/custom-models
09:44:21:MODELS_DIR        = <root>/modules/ObjectDetectionYOLOv8/assets
09:44:21:MODEL_SIZE        = Medium
09:44:21:USE_CUDA          = True
09:44:21:YOLO_VERBOSE      = false
09:44:21:
09:44:21:Started Object Detection (YOLOv8) module
09:44:23:face.py: GPU in use: NVIDIA GeForce RTX 3070
09:45:19:Object Detection (YOLOv8):  [AttributeError] : Traceback (most recent call last):
  File "/app/modules/ObjectDetectionYOLOv8/detect.py", line 147, in do_detection
    results            = detector.predict(img, imgsz=resolution, half=use_half_precision,
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/model.py", line 266, in predict
    self.predictor.setup_model(model=self.model, verbose=is_cli)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 341, in setup_model
    self.model = AutoBackend(
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/autobackend.py", line 141, in __init__
    model = model.fuse(verbose=verbose) if fuse else model
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/tasks.py", line 176, in fuse
    delattr(m, "bn")  # remove batchnorm
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1266, in __delattr__
    object.__delattr__(self, name)
AttributeError: bn
09:45:20:Object Detection (YOLOv8):  [AttributeError] : Traceback (most recent call last):
  File "/app/modules/ObjectDetectionYOLOv8/detect.py", line 147, in do_detection
    results            = detector.predict(img, imgsz=resolution, half=use_half_precision,
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/model.py", line 266, in predict
    self.predictor.setup_model(model=self.model, verbose=is_cli)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 341, in setup_model
    self.model = AutoBackend(
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/autobackend.py", line 141, in __init__
    model = model.fuse(verbose=verbose) if fuse else model
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/tasks.py", line 176, in fuse
    delattr(m, "bn")  # remove batchnorm
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1266, in __delattr__
    object.__delattr__(self, name)
AttributeError: bn
09:45:20:Object Detection (YOLOv8):  [AttributeError] : Traceback (most recent call last):
  File "/app/modules/ObjectDetectionYOLOv8/detect.py", line 147, in do_detection
    results            = detector.predict(img, imgsz=resolution, half=use_half_precision,
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/model.py", line 266, in predict
    self.predictor.setup_model(model=self.model, verbose=is_cli)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 341, in setup_model
    self.model = AutoBackend(
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/autobackend.py", line 141, in __init__
    model = model.fuse(verbose=verbose) if fuse else model
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/tasks.py", line 176, in fuse
    delattr(m, "bn")  # remove batchnorm
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1266, in __delattr__
    object.__delattr__(self, name)
AttributeError: bn
09:45:20:Object Detection (YOLOv8):  [AttributeError] : Traceback (most recent call last):
  File "/app/modules/ObjectDetectionYOLOv8/detect.py", line 147, in do_detection
    results            = detector.predict(img, imgsz=resolution, half=use_half_precision,
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/model.py", line 266, in predict
    self.predictor.setup_model(model=self.model, verbose=is_cli)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 341, in setup_model
    self.model = AutoBackend(
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/autobackend.py", line 141, in __init__
    model = model.fuse(verbose=verbose) if fuse else model
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/tasks.py", line 176, in fuse
    delattr(m, "bn")  # remove batchnorm
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1266, in __delattr__
    object.__delattr__(self, name)
AttributeError: bn
09:45:20:Response rec'd from Object Detection (YOLOv8) command 'detect' (...7832cb)
09:45:20:Response rec'd from Object Detection (YOLOv8) command 'detect' (...c4899c)
09:45:20:Response rec'd from Object Detection (YOLOv8) command 'detect' (...345625)
09:45:20:Object Detection (YOLOv8):  [AttributeError] : Traceback (most recent call last):
  File "/app/modules/ObjectDetectionYOLOv8/detect.py", line 147, in do_detection
    results            = detector.predict(img, imgsz=resolution, half=use_half_precision,
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/model.py", line 266, in predict
    self.predictor.setup_model(model=self.model, verbose=is_cli)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 341, in setup_model
    self.model = AutoBackend(
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/autobackend.py", line 141, in __init__
    model = model.fuse(verbose=verbose) if fuse else model
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/tasks.py", line 176, in fuse
    delattr(m, "bn")  # remove batchnorm
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1266, in __delattr__
    object.__delattr__(self, name)
AttributeError: bn
09:45:20:Object Detection (YOLOv8):  [AttributeError] : Traceback (most recent call last):
  File "/app/modules/ObjectDetectionYOLOv8/detect.py", line 147, in do_detection
    results            = detector.predict(img, imgsz=resolution, half=use_half_precision,
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/model.py", line 266, in predict
    self.predictor.setup_model(model=self.model, verbose=is_cli)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 341, in setup_model
    self.model = AutoBackend(
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/autobackend.py", line 141, in __init__
    model = model.fuse(verbose=verbose) if fuse else model
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/tasks.py", line 176, in fuse
    delattr(m, "bn")  # remove batchnorm
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1266, in __delattr__
    object.__delattr__(self, name)
AttributeError: bn
09:45:20:Object Detection (YOLOv8):  [AttributeError] : Traceback (most recent call last):
  File "/app/modules/ObjectDetectionYOLOv8/detect.py", line 147, in do_detection
    results            = detector.predict(img, imgsz=resolution, half=use_half_precision,
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/model.py", line 266, in predict
    self.predictor.setup_model(model=self.model, verbose=is_cli)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 341, in setup_model
    self.model = AutoBackend(
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/autobackend.py", line 141, in __init__
    model = model.fuse(verbose=verbose) if fuse else model
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/tasks.py", line 176, in fuse
    delattr(m, "bn")  # remove batchnorm
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1266, in __delattr__
    object.__delattr__(self, name)
AttributeError: bn
09:45:20:Object Detection (YOLOv8):  [AttributeError] : Traceback (most recent call last):
  File "/app/modules/ObjectDetectionYOLOv8/detect.py", line 147, in do_detection
    results            = detector.predict(img, imgsz=resolution, half=use_half_precision,
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/model.py", line 266, in predict
    self.predictor.setup_model(model=self.model, verbose=is_cli)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 341, in setup_model
    self.model = AutoBackend(
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/autobackend.py", line 141, in __init__
    model = model.fuse(verbose=verbose) if fuse else model
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/tasks.py", line 176, in fuse
    delattr(m, "bn")  # remove batchnorm
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1266, in __delattr__
    object.__delattr__(self, name)
AttributeError: bn
09:45:20:Object Detection (YOLOv8):  [AttributeError] : Traceback (most recent call last):
  File "/app/modules/ObjectDetectionYOLOv8/detect.py", line 147, in do_detection
    results            = detector.predict(img, imgsz=resolution, half=use_half_precision,
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/model.py", line 266, in predict
    self.predictor.setup_model(model=self.model, verbose=is_cli)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 341, in setup_model
    self.model = AutoBackend(
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/autobackend.py", line 141, in __init__
    model = model.fuse(verbose=verbose) if fuse else model
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/tasks.py", line 176, in fuse
    delattr(m, "bn")  # remove batchnorm
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1266, in __delattr__
    object.__delattr__(self, name)
AttributeError: bn
09:45:20:Object Detection (YOLOv8):  [AttributeError] : Traceback (most recent call last):
  File "/app/modules/ObjectDetectionYOLOv8/detect.py", line 147, in do_detection
    results            = detector.predict(img, imgsz=resolution, half=use_half_precision,
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/model.py", line 266, in predict
    self.predictor.setup_model(model=self.model, verbose=is_cli)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 341, in setup_model
    self.model = AutoBackend(
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/autobackend.py", line 141, in __init__
    model = model.fuse(verbose=verbose) if fuse else model
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/ultralytics/nn/tasks.py", line 176, in fuse
    delattr(m, "bn")  # remove batchnorm
  File "/app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1266, in __delattr__
    object.__delattr__(self, name)
AttributeError: bn
09:45:36:Response rec'd from Object Detection (YOLOv8) command 'detect' (...226f6d) ['Found chair, chair, tv']  took 13376ms

Re: YOLOv8 Fresh install on 2.6.2

Sean Ewington5-Apr-24 5:32