Apologies, should have looked at the logs. There is a RuntimeError error when it first starts...
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13:34:13:Operating System: Windows (Microsoft Windows 10.0.19044)
13:34:13:CPUs: Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz
13:34:13: 1 CPU x 6 cores. 12 logical processors (x64)
13:34:13:GPU: NVIDIA GeForce GTX 1650 SUPER (4 GiB) (NVidia)
13:34:13: Driver: 531.68 CUDA: 12.1 Compute: 7.5
13:34:13:System RAM: 32 GiB
13:34:13:Target: Windows
13:34:13:BuildConfig: Release
13:34:13:Execution Env: Native
13:34:13:Runtime Env: Production
13:34:13:.NET framework: .NET 7.0.3
13:34:13:App DataDir: C:\ProgramData\CodeProject\AI
13:34:13:Video adapter info:
13:34:13: NVIDIA GeForce GTX 1650 SUPER:
13:34:13: Driver Version 31.0.15.3168
13:34:13: Video Processor NVIDIA GeForce GTX 1650 SUPER
13:34:13: Intel(R) UHD Graphics 630:
13:34:13: Driver Version 30.0.101.1692
13:34:13: Video Processor Intel(R) UHD Graphics Family
13:34:13:ROOT_PATH = C:\Program Files\CodeProject\AI
13:34:13:RUNTIMES_PATH = C:\Program Files\CodeProject\AI\runtimes
13:34:13:PREINSTALLED_MODULES_PATH = C:\Program Files\CodeProject\AI\preinstalled-modules
13:34:13:MODULES_PATH = C:\Program Files\CodeProject\AI\modules
13:34:13:PYTHON_PATH = \bin\windows\%PYTHON_RUNTIME%\venv\scripts\Python
13:34:13:Data Dir = C:\ProgramData\CodeProject\AI
13:34:13:Server version: 2.1.4-Beta
13:34:16:
13:34:16:Module 'Object Detection (YOLOv5 6.2)' (ID: ObjectDetectionYolo)
13:34:16:AutoStart: True
13:34:16:Queue: objectdetection_queue
13:34:16:Platforms: all
13:34:16:GPU: Support enabled
13:34:16:Parallelism: 0
13:34:16:Accelerator:
13:34:16:Half Precis.: enable
13:34:16:Runtime: python37
13:34:16:Runtime Loc: Shared
13:34:16:FilePath: detect_adapter.py
13:34:16:Pre installed: False
13:34:16:Start pause: 1 sec
13:34:16:LogVerbosity:
13:34:16:Valid: True
13:34:16:Environment Variables
13:34:16:APPDIR = %CURRENT_MODULE_PATH%
13:34:16:CPAI_MODULE_SUPPORT_GPU = True
13:34:16:CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%/custom-models
13:34:16:MODELS_DIR = %CURRENT_MODULE_PATH%/assets
13:34:16:MODEL_SIZE = Medium
13:34:16:USE_CUDA = True
13:34:16:YOLOv5_AUTOINSTALL = false
13:34:16:YOLOv5_VERBOSE = false
13:34:16:
13:34:16:Started Object Detection (YOLOv5 6.2) module
13:34:18:Server: This is the latest version
13:36:58:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'list-custom' (...38f8e8) took 2ms
13:36:59:Sending shutdown request to python/ObjectDetectionYolo
13:37:09:Module ObjectDetectionYolo has shutdown
13:37:09:detect_adapter.py: has exited
13:37:32:ObjectDetectionYolo went quietly
13:37:32:
13:37:32:Module 'Object Detection (YOLOv5 6.2)' (ID: ObjectDetectionYolo)
13:37:32:AutoStart: True
13:37:32:Queue: objectdetection_queue
13:37:32:Platforms: all
13:37:32:GPU: Support enabled
13:37:32:Parallelism: 0
13:37:32:Accelerator:
13:37:32:Half Precis.: enable
13:37:32:Runtime: python37
13:37:32:Runtime Loc: Shared
13:37:32:FilePath: detect_adapter.py
13:37:32:Pre installed: False
13:37:32:Start pause: 1 sec
13:37:32:LogVerbosity:
13:37:32:Valid: True
13:37:32:Environment Variables
13:37:32:APPDIR = %CURRENT_MODULE_PATH%
13:37:32:CPAI_MODULE_SUPPORT_GPU = True
13:37:32:CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%/custom-models
13:37:32:MODELS_DIR = %CURRENT_MODULE_PATH%/assets
13:37:32:MODEL_SIZE = Medium
13:37:32:USE_CUDA = True
13:37:32:YOLOv5_AUTOINSTALL = false
13:37:32:YOLOv5_VERBOSE = false
13:37:32:
13:37:32:Started Object Detection (YOLOv5 6.2) module
13:37:45:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...5bd029) took 6396ms
13:37:45:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...b36819) took 6398ms
13:37:45:Object Detection (YOLOv5 6.2): [RuntimeError] : Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\detect.py", line 162, in do_detection
det = detector(img, size=640)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 705, in forward
y = self.model(x, augment=augment) # forward
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 515, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 121, in _forward_once
x = m(x) # run
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 74, in forward
xy = (xy * 2 + self.grid[i]) * self.stride[i] # xy
RuntimeError: The size of tensor a (60) must match the size of tensor b (48) at non-singleton dimension 2
13:37:45:Object Detection (YOLOv5 6.2): [RuntimeError] : Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\detect.py", line 162, in do_detection
det = detector(img, size=640)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 705, in forward
y = self.model(x, augment=augment) # forward
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 515, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 121, in _forward_once
x = m(x) # run
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 74, in forward
xy = (xy * 2 + self.grid[i]) * self.stride[i] # xy
RuntimeError: The size of tensor a (60) must match the size of tensor b (48) at non-singleton dimension 2
13:37:45:Object Detection (YOLOv5 6.2): [RuntimeError] : Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\detect.py", line 162, in do_detection
det = detector(img, size=640)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 705, in forward
y = self.model(x, augment=augment) # forward
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 515, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 121, in _forward_once
x = m(x) # run
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 74, in forward
xy = (xy * 2 + self.grid[i]) * self.stride[i] # xy
RuntimeError: The size of tensor a (60) must match the size of tensor b (48) at non-singleton dimension 2
13:37:45:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...23f7f3) took 6436ms
13:37:45:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...e0c4bc) took 6442ms
13:37:45:Object Detection (YOLOv5 6.2): [RuntimeError] : Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\detect.py", line 162, in do_detection
det = detector(img, size=640)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 705, in forward
y = self.model(x, augment=augment) # forward
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 515, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 121, in _forward_once
x = m(x) # run
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 74, in forward
xy = (xy * 2 + self.grid[i]) * self.stride[i] # xy
RuntimeError: The size of tensor a (60) must match the size of tensor b (48) at non-singleton dimension 2
13:37:45:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...b22b88) took 6441ms
13:37:45:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...73b70c) took 6443ms
13:37:45:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...7df47a) took 242ms
13:37:45:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...33bf75) took 251ms
13:37:45:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...ee97c5) took 265ms
13:37:45:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...cc52a6) took 272ms
13:38:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'list-custom' (...0d5030) took 2ms
13:38:04:Sending shutdown request to python/ObjectDetectionYolo
13:38:13:detect_adapter.py: GPU compute capability is 7.5
13:38:13:detect_adapter.py: Using half-precision for the device 'NVIDIA GeForce GTX 1650 SUPER'
13:38:13:detect_adapter.py: Inference processing will occur on device 'NVIDIA GeForce GTX 1650 SUPER'
13:38:13:Module ObjectDetectionYolo has shutdown
13:38:13:detect_adapter.py: has exited
13:38:37:ObjectDetectionYolo went quietly
13:38:37:
13:38:37:Module 'Object Detection (YOLOv5 6.2)' (ID: ObjectDetectionYolo)
13:38:37:AutoStart: True
13:38:37:Queue: objectdetection_queue
13:38:37:Platforms: all
13:38:37:GPU: Support enabled
13:38:37:Parallelism: 0
13:38:37:Accelerator:
13:38:37:Half Precis.: enable
13:38:37:Runtime: python37
13:38:37:Runtime Loc: Shared
13:38:37:FilePath: detect_adapter.py
13:38:37:Pre installed: False
13:38:37:Start pause: 1 sec
13:38:37:LogVerbosity:
13:38:37:Valid: True
13:38:37:Environment Variables
13:38:37:APPDIR = %CURRENT_MODULE_PATH%
13:38:37:CPAI_MODULE_SUPPORT_GPU = True
13:38:37:CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%/custom-models
13:38:37:MODELS_DIR = %CURRENT_MODULE_PATH%/assets
13:38:37:MODEL_SIZE = Medium
13:38:37:USE_CUDA = True
13:38:37:YOLOv5_AUTOINSTALL = false
13:38:37:YOLOv5_VERBOSE = false
13:38:37:
13:38:37:Started Object Detection (YOLOv5 6.2) module
13:38:46:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...3e6707) took 3583ms
13:38:46:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...c2e49a) took 3579ms
13:38:46:Object Detection (YOLOv5 6.2): [RuntimeError] : Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\detect.py", line 162, in do_detection
det = detector(img, size=640)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 705, in forward
y = self.model(x, augment=augment) # forward
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 515, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 121, in _forward_once
x = m(x) # run
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 74, in forward
xy = (xy * 2 + self.grid[i]) * self.stride[i] # xy
RuntimeError: The size of tensor a (15) must match the size of tensor b (12) at non-singleton dimension 2
13:38:46:Object Detection (YOLOv5 6.2): [RuntimeError] : Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\detect.py", line 162, in do_detection
det = detector(img, size=640)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 705, in forward
y = self.model(x, augment=augment) # forward
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 515, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 121, in _forward_once
x = m(x) # run
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 74, in forward
xy = (xy * 2 + self.grid[i]) * self.stride[i] # xy
RuntimeError: The size of tensor a (15) must match the size of tensor b (12) at non-singleton dimension 2
13:38:46:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...4af48c) took 3579ms
13:38:46:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...9e4384) took 3594ms
13:38:46:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...a3a104) took 3591ms
13:38:46:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...18e6bf) took 3590ms
13:38:47:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...7864e4) took 293ms
13:38:47:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...c61cce) took 307ms
13:38:47:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...495b4c) took 301ms
13:38:47:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...ae686a) took 308ms
13:39:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...d4fd01) took 363ms
13:39:02:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:39:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...f562df) took 249ms
13:39:17:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...c25c0a) took 355ms
13:39:17:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...da3236) took 369ms
13:39:17:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:39:17:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:39:17:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...b72605) took 128ms
13:39:17:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...2247f1) took 105ms
13:39:17:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...5601ef) took 113ms
13:39:17:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:39:17:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...f1641c) took 81ms
13:39:18:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...282e11) took 117ms
13:39:18:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:39:18:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...40e5bd) took 64ms
13:40:00:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...5e73ce) took 327ms
13:40:00:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:00:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...4bb18f) took 136ms
13:40:00:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...309b0c) took 133ms
13:40:00:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:00:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...9d15a9) took 61ms
13:40:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...99e6a8) took 98ms
13:40:01:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...271b47) took 55ms
13:40:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...44341c) took 97ms
13:40:01:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...ab6e91) took 49ms
13:40:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...856965) took 111ms
13:40:02:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...060730) took 74ms
13:40:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...92386f) took 107ms
13:40:02:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...2c0059) took 62ms
13:40:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...0d5efc) took 129ms
13:40:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...52632e) took 84ms
13:40:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...537695) took 130ms
13:40:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...ad2394) took 56ms
13:40:25:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...f12b95) took 385ms
13:40:25:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:25:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...081725) took 474ms
13:40:25:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...03b229) took 169ms
13:40:25:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:25:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...64a0ec) took 85ms
13:40:25:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...f8316e) took 125ms
13:40:26:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:26:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...344cf8) took 76ms
13:40:26:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...6990d9) took 117ms
13:40:26:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:26:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...561e0b) took 77ms
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...543103) took 127ms
13:40:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...aa2138) took 247ms
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...04291d) took 430ms
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...3577a6) took 435ms
13:40:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...bedfbd) took 512ms
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...6b29e8) took 347ms
13:40:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...f4e09a) took 348ms
13:40:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...9f8461) took 377ms
13:40:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...7ae9a6) took 298ms
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...5fe91e) took 236ms
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...a13fd2) took 250ms
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...ae7bba) took 178ms
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...314093) took 198ms
13:40:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...c7c1fa) took 179ms
13:41:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...424f19) took 285ms
13:41:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:41:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...f3f770) took 145ms
13:41:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...73bbd5) took 161ms
13:41:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:41:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...6049b5) took 57ms
13:41:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...2d8a03) took 96ms
13:41:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:41:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...58e0de) took 56ms
13:41:04:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...c3c899) took 98ms
13:41:04:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:41:04:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...ffa47c) took 55ms
13:41:13:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...6188f4) took 339ms
13:41:13:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:41:13:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...7081ce) took 145ms
13:41:13:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...f63485) took 144ms
13:41:13:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:41:13:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...b9624a) took 56ms
13:41:14:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...dc93d0) took 107ms
13:41:14:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:41:14:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...d7f95e) took 62ms
13:41:14:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...cdcf70) took 100ms
13:41:14:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:41:14:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...0a806a) took 56ms
13:41:33:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...ef107d) took 360ms
13:41:33:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...d5cf40) took 375ms
13:41:33:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:41:33:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:41:33:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...934da2) took 188ms
13:41:33:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...7f2209) took 204ms
13:41:33:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...5ffa2a) took 184ms
13:41:33:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:41:33:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...2edbb0) took 72ms
13:41:34:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...a21a31) took 111ms
13:41:34:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:41:34:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...676193) took 66ms
13:42:00:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...b6dd24) took 380ms
13:42:00:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:42:00:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...e50824) took 56ms
13:42:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...b73874) took 307ms
13:42:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:42:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...0210fc) took 426ms
13:42:27:Object Detection (YOLOv5 6.2): [RuntimeError] : Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\detect.py", line 162, in do_detection
det = detector(img, size=640)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 705, in forward
y = self.model(x, augment=augment) # forward
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 515, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 121, in _forward_once
x = m(x) # run
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 75, in forward
wh = (wh * 2) ** 2 * self.anchor_grid[i] # wh
RuntimeError: The size of tensor a (60) must match the size of tensor b (64) at non-singleton dimension 2
13:42:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...aac1d9) took 425ms
13:42:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...0cf342) took 418ms
13:42:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...c39cd8) took 444ms
13:42:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...bc36cd) took 475ms
13:42:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:42:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:42:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:42:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...a0d820) took 454ms
13:42:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...89b099) took 154ms
13:42:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:42:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...714da7) took 158ms
13:42:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...1ca0b2) took 153ms
13:42:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...d5eee7) took 83ms
13:42:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...90c337) took 94ms
13:42:28:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:42:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...279fa9) took 44ms
13:42:42:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...dec87c) took 365ms
13:42:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:42:42:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...d7a398) took 80ms
13:42:42:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...da33e4) took 122ms
13:42:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:42:42:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...5daace) took 67ms
13:42:42:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...25e60a) took 108ms
13:42:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:42:42:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...4720d3) took 83ms
13:42:42:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...249cd0) took 115ms
13:42:43:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:42:43:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...dedf96) took 72ms
13:43:13:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...e3f530) took 251ms
13:43:13:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:43:13:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...109580) took 60ms
13:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...616e0e) took 430ms
13:43:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...3b96d2) took 171ms
13:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...c9af7e) took 162ms
13:43:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...51aa2d) took 72ms
13:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...384a8d) took 113ms
13:43:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:43:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...857934) took 66ms
13:43:52:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...44afda) took 108ms
13:43:52:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:43:52:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...2c5deb) took 67ms
13:44:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...b9c581) took 116ms
13:44:01:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:44:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...15e254) took 68ms
13:44:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...48fd6a) took 296ms
13:44:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:44:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...6e72ed) took 372ms
13:44:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...55438d) took 390ms
13:44:27:Object Detection (YOLOv5 6.2): [RuntimeError] : Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\detect.py", line 162, in do_detection
det = detector(img, size=640)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 705, in forward
y = self.model(x, augment=augment) # forward
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 515, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 121, in _forward_once
x = m(x) # run
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 75, in forward
wh = (wh * 2) ** 2 * self.anchor_grid[i] # wh
RuntimeError: The size of tensor a (32) must match the size of tensor b (24) at non-singleton dimension 2
13:44:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...d110a2) took 390ms
13:44:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...865bdd) took 371ms
13:44:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:44:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...15c0df) took 381ms
13:44:28:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:44:28:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:44:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...5ce6a0) took 124ms
13:44:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...1315fe) took 105ms
13:44:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...f4cf6f) took 101ms
13:44:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...618be2) took 101ms
13:44:28:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:44:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...7d0a97) took 60ms
13:44:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...6e3f27) took 95ms
13:44:29:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:44:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...1bb490) took 46ms
13:44:59:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...ccc4d8) took 429ms
13:44:59:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...079f6e) took 484ms
13:44:59:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:44:59:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:44:59:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...fb1ed3) took 241ms
13:44:59:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...bad829) took 161ms
13:44:59:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...0f103e) took 191ms
13:44:59:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:44:59:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...4d3762) took 66ms
13:44:59:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...f36975) took 109ms
13:44:59:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:44:59:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...666c06) took 66ms
13:45:14:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...e68f6d) took 279ms
13:45:14:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:45:14:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...295996) took 70ms
13:46:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...de4492) took 267ms
13:46:02:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...fba059) took 61ms
13:46:07:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...c83924) took 467ms
13:46:07:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...f410cb) took 499ms
13:46:07:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:07:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:07:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...f63fc9) took 204ms
13:46:07:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...64efcb) took 198ms
13:46:07:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...7a71cd) took 179ms
13:46:07:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:07:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...008559) took 88ms
13:46:08:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...5a75aa) took 109ms
13:46:08:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:08:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...478099) took 65ms
13:46:10:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...1b07d8) took 387ms
13:46:10:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...82401b) took 386ms
13:46:10:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:10:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:10:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...ced073) took 176ms
13:46:10:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...2ac797) took 181ms
13:46:10:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...205635) took 190ms
13:46:11:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:11:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...5cb00c) took 87ms
13:46:11:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...bd1a96) took 111ms
13:46:11:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:11:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...2c3e70) took 66ms
13:46:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...d08579) took 471ms
13:46:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...64e2b7) took 428ms
13:46:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...07c80b) took 92ms
13:46:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...b28187) took 94ms
13:46:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...6c89e3) took 94ms
13:46:28:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...a7ea69) took 56ms
13:46:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...0851e8) took 164ms
13:46:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...cb6cbd) took 158ms
13:46:28:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:28:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...88d360) took 84ms
13:46:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...7db6f6) took 63ms
13:46:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...294d71) took 100ms
13:46:28:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...c64b34) took 76ms
13:46:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...c3fcd2) took 88ms
13:46:29:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:46:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...e478bc) took 45ms
13:47:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...3d3282) took 343ms
13:47:01:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:47:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...f80b32) took 64ms
13:47:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...c3f9fa) took 107ms
13:47:02:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:47:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...9d3709) took 63ms
13:47:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...f67e21) took 95ms
13:47:02:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:47:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...6b0f62) took 51ms
13:47:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...0c2d96) took 97ms
13:47:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:47:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...a8b6c4) took 55ms
13:47:14:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...28c2fe) took 312ms
13:47:14:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:47:14:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...5ffd10) took 72ms
13:47:15:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...8ce407) took 127ms
13:47:15:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...632fed) took 113ms
13:47:15:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:47:15:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...8a4c06) took 67ms
13:47:16:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:47:16:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...f51cd5) took 67ms
13:47:16:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...87b1a5) took 111ms
13:47:16:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:47:16:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...7c8309) took 68ms
13:47:16:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...baf97f) took 108ms
13:47:16:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:47:16:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...024ba5) took 77ms
13:48:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...bbf2c8) took 489ms
13:48:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...4fb89f) took 506ms
13:48:02:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:02:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...b470a8) took 85ms
13:48:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...800fbc) took 93ms
13:48:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...fcd31a) took 94ms
13:48:02:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...1c271a) took 49ms
13:48:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...cd05eb) took 95ms
13:48:02:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...d7d85f) took 58ms
13:48:24:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...0f1cd1) took 314ms
13:48:24:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:24:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...0614c9) took 158ms
13:48:24:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...ee1ef3) took 163ms
13:48:24:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:24:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...7f5b16) took 67ms
13:48:24:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...8ce752) took 112ms
13:48:25:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:25:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...79e0b7) took 68ms
13:48:25:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...ecd708) took 117ms
13:48:25:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:25:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...d4f7f2) took 89ms
13:48:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...010a59) took 210ms
13:48:27:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:27:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...d9ea51) took 53ms
13:48:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...01850c) took 117ms
13:48:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...dd16f3) took 142ms
13:48:28:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:28:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...ca9b85) took 120ms
13:48:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...00a7c7) took 65ms
13:48:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...64eeb3) took 102ms
13:48:29:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...554c9a) took 124ms
13:48:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...29386b) took 144ms
13:48:29:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...886b67) took 68ms
13:48:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...ee2154) took 99ms
13:48:29:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...3af9c1) took 53ms
13:48:30:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...208b5e) took 89ms
13:48:30:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:48:30:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...0fb209) took 52ms
13:49:15:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...195262) took 310ms
13:49:15:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:49:15:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...b16ad8) took 59ms
13:49:33:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...d36847) took 330ms
13:49:33:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...e97684) took 370ms
13:49:33:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:49:33:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:49:33:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...986db1) took 147ms
13:49:33:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...d6162e) took 74ms
13:49:33:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...b9b71a) took 117ms
13:49:33:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:49:33:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...9d5ae3) took 66ms
13:49:34:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...a43d2c) took 108ms
13:49:34:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:49:34:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...774a27) took 69ms
13:50:00:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...e89cc2) took 262ms
13:50:01:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...8203f2) took 55ms
13:50:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...50e85d) took 106ms
13:50:01:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...a5f949) took 52ms
13:50:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...0a5368) took 96ms
13:50:01:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...9c4f28) took 56ms
13:50:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...28cf29) took 95ms
13:50:02:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:02:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...8ec6ed) took 54ms
13:50:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...790bf3) took 187ms
13:50:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...e343ef) took 128ms
13:50:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...495094) took 134ms
13:50:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...931722) took 58ms
13:50:04:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...1dfe31) took 103ms
13:50:04:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:04:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...1a10ee) took 55ms
13:50:04:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...be1586) took 96ms
13:50:04:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:04:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...64ca3d) took 60ms
13:50:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...aabb5d) took 383ms
13:50:28:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:28:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...b43a93) took 57ms
13:50:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...151bcc) took 131ms
13:50:29:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...0912e4) took 146ms
13:50:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...b8ab77) took 154ms
13:50:29:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...fea76d) took 61ms
13:50:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...d89f24) took 95ms
13:50:29:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:29:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...60718c) took 59ms
13:50:30:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...7e836d) took 204ms
13:50:30:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...525a0b) took 173ms
13:50:30:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:30:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...145614) took 55ms
13:50:30:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:30:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...c9ca13) took 59ms
13:50:30:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...5f8345) took 90ms
13:50:30:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:30:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...90d018) took 49ms
13:50:42:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...42d67e) took 389ms
13:50:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:42:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...80bdb2) took 466ms
13:50:42:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...753d8e) took 160ms
13:50:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:42:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...64583a) took 77ms
13:50:42:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...691870) took 116ms
13:50:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:42:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...013d4f) took 77ms
13:50:43:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...330715) took 112ms
13:50:43:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:50:43:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...56ab1c) took 64ms
13:51:50:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...535f77) took 328ms
13:51:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:51:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...644d66) took 160ms
13:51:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...056ab4) took 158ms
13:51:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:51:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...4f97c2) took 68ms
13:51:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...d300ac) took 119ms
13:51:51:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:51:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...4a3b44) took 67ms
13:51:51:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...26f025) took 114ms
13:51:52:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:51:52:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...84439d) took 63ms
13:52:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...bac647) took 255ms
13:52:01:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:52:01:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...20baf7) took 55ms
13:52:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (...8c2cc7) took 332ms
13:52:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
13:52:03:Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (...42e1f5) took 62ms
Logging level
Info
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