Running workflow on local machine error #690

yeongnamtan · 2024-09-30T07:05:58Z

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Question

I tried running the below workflow on my local machine and get this error.

SAHI PEOPLE DETECTION:
https://app.roboflow.com/workflows/embed/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ3b3JrZmxvd0lkIjoicTdwQWRlb0xXR3Z5ZVo1RGFFaUoiLCJ3b3Jrc3BhY2VJZCI6ImtyT1RBYm5jRmhvUU1DZExPbGU0IiwidXNlcklkIjoiSW1GTElaU2tHYk55OXpiNFV1cWxNelBScHBRMiIsImlhdCI6MTcyNDgwNzA2M30.Ds34vuWm6zS3zHuozZzAGcgoktqHoRjKvC50MSppS0w
UserWarning: Field "model_type" in BlockManifest has conflict with protected namespace "model_".

You may be able to resolve this warning by setting model_config['protected_namespaces'] = ().
UserWarning: Field "model_version" in BlockManifest has conflict with protected namespace "model_".

You may be able to resolve this warning by setting `model_config['protected_namespaces'] = ()`.
UserWarning: Field name "schema" in "WorkflowsBlocksSchemaDescription" shadows an attribute in parent "BaseModel"
UserWarning: Specified provider 'CUDAExecutionProvider' is not in available provider names.Available providers: 'CPUExecutionProvider'
UserWarning: Specified provider 'OpenVINOExecutionProvider' is not in available provider names.Available providers: 'CPUExecutionProvider'

Additional

No response

The text was updated successfully, but these errors were encountered:

PawelPeczek-Roboflow · 2024-09-30T08:39:48Z

Hi there,

This is just warning, for now you may not worry. Good that you are pointing this up, will be fixed soon 👍

yeongnamtan · 2024-09-30T09:27:21Z

I can't run in local machine because of this error.

PawelPeczek-Roboflow · 2024-09-30T09:58:41Z

well, that's strange - I suspect there is other issue - could you elaborate more?

yeongnamtan · 2024-09-30T12:26:32Z

Plse see below. My local computer just hang...

(myenv) PS C:\Users\yeong> python demo_roboflow_workflow.py
SupervisionWarnings: BoundingBoxAnnotator is deprecated: BoundingBoxAnnotator is deprecated and has been renamed to BoxAnnotator. BoundingBoxAnnotator will be removed in supervision-0.26.0.
InferenceExperimentalFeatureWarning: init_with_workflow is experimental: Usage of workflows with InferencePipeline is an experimental feature. Please report any issues here: https://github.com/roboflow/inference/issues
UserWarning: Field "model_type" has conflict with protected namespace "model_".

You may be able to resolve this warning by setting model_config['protected_namespaces'] = ().
UserWarning: Field "model_version" has conflict with protected namespace "model_".

You may be able to resolve this warning by setting model_config['protected_namespaces'] = ().
UserWarning: Field name "schema" in "WorkflowsBlocksSchemaDescription" shadows an attribute in parent "BaseModel"
UserWarning: Specified provider 'CUDAExecutionProvider' is not in available provider names.Available providers: 'CPUExecutionProvider'
UserWarning: Specified provider 'OpenVINOExecutionProvider' is not in available provider names.Available providers: 'CPUExecutionProvider'

PawelPeczek-Roboflow · 2024-09-30T12:31:03Z

Could you verify the content of /tmp/cache and sub-directories named after your model?
It looks like the weights download may be long for some reasons.

Additionally could you export LOG_LEVEL=DEBUG to see what is going on under the hood?

yeongnamtan · 2024-10-01T02:02:49Z

I created a virtual env called myenv2 and did a pip install inference there.
'''
PS C:\Users\yeong> .\myenv2\Scripts\Activate
(myenv2) PS C:\Users\yeong> $env:LOG_LEVEL = "DEBUG"
(myenv2) PS C:\Users\yeong> echo $env:LOG_LEVEL
DEBUG
(myenv2) PS C:\Users\yeong> python demo_roboflow_workflow.py
[10/01/24 09:58:31] DEBUG Checking for latest inference release version... init.py:22
[10/01/24 09:58:36] INFO Memory Cache initialised init.py:22
[10/01/24 09:58:41] DEBUG Persistence through SQLiteQueue collector.py:97
DEBUG Cached plan details collector.py:109
SupervisionWarnings: BoundingBoxAnnotator is deprecated: BoundingBoxAnnotator is deprecated and has been renamed to BoxAnnotator. BoundingBoxAnnotator will be removed in supervision-0.26.0.
InferenceExperimentalFeatureWarning: init_with_workflow is experimental: Usage of workflows with InferencePipeline is an experimental feature. Please report any issues here: https://github.com/roboflow/inference/issues
UserWarning: Field "model_type" in BlockManifest has conflict with protected namespace "model_".

You may be able to resolve this warning by setting model_config['protected_namespaces'] = ().
UserWarning: Field "model_version" in BlockManifest has conflict with protected namespace "model_".

You may be able to resolve this warning by setting model_config['protected_namespaces'] = ().
UserWarning: Field name "schema" in "WorkflowsBlocksSchemaDescription" shadows an attribute in parent "BaseModel"
[10/01/24 09:58:45] DEBUG For step: $steps.image_slicer, detected the following input dimensionalities: graph_constructor.py:594
defaultdict(<class 'set'>, {'image': {1}, 'slice_width': {0}, 'slice_height':
{0}, 'overlap_ratio_width': {0}, 'overlap_ratio_height': {0}})
DEBUG For step: $steps.sahi_model, detected the following input dimensionalities: graph_constructor.py:594
defaultdict(<class 'set'>, {'images': {2}, 'model_id': {0}, 'class_agnostic_nms':
{0}, 'class_filter': {0}, 'confidence': {0}, 'iou_threshold': {0},
'max_detections': {0}, 'max_candidates': {0}, 'disable_active_learning': {0},
'active_learning_target_dataset': {0}})
[10/01/24 09:58:46] DEBUG For step: $steps.combined_predictions, detected the following input graph_constructor.py:594
dimensionalities: defaultdict(<class 'set'>, {'reference_image': {1},
'predictions': {2}, 'overlap_filtering_strategy': {0}, 'iou_threshold': {0}})
DEBUG For step: $steps.bounding_box_visualization, detected the following input graph_constructor.py:594
dimensionalities: defaultdict(<class 'set'>, {'image': {1}, 'copy_image': {0},
'predictions': {1}, 'color_palette': {0}, 'palette_size': {0}, 'custom_colors':
{0}, 'color_axis': {0}, 'thickness': {0}, 'roundness': {0}})
DEBUG For step: $steps.person_count, detected the following input dimensionalities: graph_constructor.py:594
defaultdict(<class 'set'>, {'data': {1}, 'operations': {0}})
DEBUG For step: $steps.label_visualization, detected the following input graph_constructor.py:594
dimensionalities: defaultdict(<class 'set'>, {'image': {1}, 'copy_image': {0},
'predictions': {1}, 'color_palette': {0}, 'palette_size': {0}, 'custom_colors':
{0}, 'color_axis': {0}, 'text': {0}, 'text_position': {0}, 'text_color': {0},
'text_scale': {0}, 'text_thickness': {0}, 'text_padding': {0}, 'border_radius':
{0}})
INFO Inference thread started inference_pipeline.py:807
[10/01/24 09:58:51] DEBUG Cannot obtain plan details, api key hash cannot be resolved collector.py:442
DEBUG Sending usage payload {'820b2': {'model:people-detection-o4rdr/7': {'timestamp_start': collector.py:456
1727747912538052200, 'timestamp_stop': 1727747922492632200, 'exec_session_id':
'1727747589359273000_c674', 'ip_address_hash': 'ec541', 'processed_frames': 70, 'fps': 0,
'source_duration': 0, 'category': 'model', 'resource_id': 'people-detection-o4rdr/7',
'resource_details': '{"source": "workflow-execution", "task_type": "object-detection"}',
'hosted': False, 'api_key_hash': '820b2', 'is_gpu_available': False, 'python_version':
'3.10.11', 'inference_version': '0.21.1', 'enterprise': False}}}
DEBUG Failed to send usage following usage payloads: {'820b2'} collector.py:464
DEBUG Enqueuing back unsent payload collector.py:472
DEBUG Enqueuing usage payload {'820b2': {'model:people-detection-o4rdr/7': {'timestamp_start': collector.py:193
1727747912538052200, 'timestamp_stop': 1727747922492632200, 'exec_session_id':
'1727747589359273000_c674', 'ip_address_hash': 'ec541', 'processed_frames': 70, 'fps': 0,
'source_duration': 0, 'category': 'model', 'resource_id': 'people-detection-o4rdr/7',
'resource_details': '{"source": "workflow-execution", "task_type": "object-detection"}',
'hosted': False, 'is_gpu_available': False, 'python_version': '3.10.11',
'inference_version': '0.21.1', 'enterprise': False, 'api_key': '820b2'}}}
DEBUG Cannot obtain plan details, api key hash cannot be resolved collector.py:442
DEBUG Sending usage payload {'820b2': {'workflows:sahi-people-detection': {'timestamp_start': collector.py:456
1727747912995564800, 'timestamp_stop': 1727747922174710400, 'exec_session_id':
'1727747589359273000_c674', 'ip_address_hash': 'ec541', 'processed_frames': 17, 'fps':
30.0, 'source_duration': 0.5666666666666667, 'category': 'workflows', 'resource_id':
'sahi-people-detection', 'resource_details': '{"steps":
["roboflow_core/roboflow_object_detection_model@v1:sahi_model",
"roboflow_core/bounding_box_visualization@v1:bounding_box_visualization",
"roboflow_core/label_visualization@v1:label_visualization",
"roboflow_core/property_definition@v1:person_count",
"roboflow_core/image_slicer@v1:image_slicer",
"roboflow_core/detections_stitch@v1:combined_predictions"], "is_preview": false}',
'hosted': False, 'api_key_hash': '820b2', 'is_gpu_available': False, 'python_version':
'3.10.11', 'inference_version': '0.21.1', 'enterprise': False}}}
[10/01/24 09:58:52] INFO Video consumption started video_source.py:649
[ WARN:0@19.379] global cap_msmf.cpp:476 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): OnReadSample() is called with error status: -1072875772 [ WARN:0@19.391] global cap_msmf.cpp:488 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): async ReadSample() call is failed with error status: -1072875772
[ WARN:1@19.409] global cap_msmf.cpp:1769 CvCapture_MSMF::grabFrame videoio(MSMF): can't grab frame. Error: -1072875772
INFO Video consumption finished video_source.py:680
DEBUG Failed to send usage following usage payloads: {'820b2'} collector.py:464
[10/01/24 09:58:53] DEBUG Enqueuing back unsent payload collector.py:472
DEBUG Enqueuing usage payload {'820b2': {'workflows:sahi-people-detection': {'timestamp_start': collector.py:193
1727747912995564800, 'timestamp_stop': 1727747922174710400, 'exec_session_id':
'1727747589359273000_c674', 'ip_address_hash': 'ec541', 'processed_frames': 17, 'fps':
30.0, 'source_duration': 0.5666666666666667, 'category': 'workflows', 'resource_id':
'sahi-people-detection', 'resource_details': '{"steps":
["roboflow_core/roboflow_object_detection_model@v1:sahi_model",
"roboflow_core/bounding_box_visualization@v1:bounding_box_visualization",
"roboflow_core/label_visualization@v1:label_visualization",
"roboflow_core/property_definition@v1:person_count",
"roboflow_core/image_slicer@v1:image_slicer",
"roboflow_core/detections_stitch@v1:combined_predictions"], "is_preview": false}',
'hosted': False, 'is_gpu_available': False, 'python_version': '3.10.11',
'inference_version': '0.21.1', 'enterprise': False, 'api_key': '820b2'}}}
[10/01/24 09:58:59] INFO Video consumption started video_source.py:649
[ WARN:0@26.892] global cap_msmf.cpp:476 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): OnReadSample() is called with error status: -1072875772 [ WARN:0@26.903] global cap_msmf.cpp:488 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): async ReadSample() call is failed with error status: -1072875772
[ WARN:2@26.917] global cap_msmf.cpp:1769 CvCapture_MSMF::grabFrame videoio(MSMF): can't grab frame. Error: -1072875772
INFO Video consumption finished video_source.py:680
[10/01/24 09:59:06] INFO Video consumption started video_source.py:649
[ WARN:3@33.935] global cap_msmf.cpp:476 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): OnReadSample() is called with error status: -1072875772 [ WARN:3@33.946] global cap_msmf.cpp:488 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): async ReadSample() call is failed with error status: -1072875772
[ WARN:4@33.965] global cap_msmf.cpp:1769 CvCapture_MSMF::grabFrame videoio(MSMF): can't grab frame. Error: -1072875772
INFO Video consumption finished video_source.py:680
[10/01/24 09:59:12] INFO Video consumption started video_source.py:649
[ WARN:3@39.657] global cap_msmf.cpp:476 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): OnReadSample() is called with error status: -1072875772 [ WARN:3@39.667] global cap_msmf.cpp:488 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): async ReadSample() call is failed with error status: -1072875772
[ WARN:5@39.678] global cap_msmf.cpp:1769 CvCapture_MSMF::grabFrame videoio(MSMF): can't grab frame. Error: -1072875772
INFO Video consumption finished video_source.py:680
[10/01/24 09:59:18] INFO Video consumption started video_source.py:649
[ WARN:6@45.761] global cap_msmf.cpp:476 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): OnReadSample() is called with error status: -1072875772 [ WARN:6@45.775] global cap_msmf.cpp:488 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): async ReadSample() call is failed with error status: -1072875772
[ WARN:7@45.785] global cap_msmf.cpp:1769 CvCapture_MSMF::grabFrame videoio(MSMF): can't grab frame. Error: -1072875772
INFO Video consumption finished video_source.py:680
[10/01/24 09:59:24] INFO Video consumption started video_source.py:649
[ WARN:3@51.981] global cap_msmf.cpp:476 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): OnReadSample() is called with error status: -1072875772 [ WARN:3@51.992] global cap_msmf.cpp:488 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): async ReadSample() call is failed with error status: -1072875772
[ WARN:8@52.004] global cap_msmf.cpp:1769 CvCapture_MSMF::grabFrame videoio(MSMF): can't grab frame. Error: -1072875772
INFO Video consumption finished video_source.py:680
[10/01/24 09:59:31] INFO Video consumption started video_source.py:649
[ WARN:3@58.763] global cap_msmf.cpp:476 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): OnReadSample() is called with error status: -1072875772 [ WARN:3@58.776] global cap_msmf.cpp:488 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): async ReadSample() call is failed with error status: -1072875772

'''

PawelPeczek-Roboflow · 2024-10-01T08:48:24Z

ok, so this lines:

[ WARN:0@26.892] global cap_msmf.cpp:476 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): OnReadSample() is called with error status: -1072875772 [ WARN:0@26.903] global cap_msmf.cpp:488 anonymous-namespace'::SourceReaderCB::OnReadSample videoio(MSMF): async ReadSample() call is failed with error status: -1072875772
[ WARN:2@26.917] global cap_msmf.cpp:1769 CvCapture_MSMF::grabFrame videoio(MSMF): can't grab frame. Error: -1072875772

indicate issue with camera source. What is the setup you run the processing?

yeongnamtan · 2024-10-01T10:13:19Z

I use my computer webcam

PawelPeczek-Roboflow · 2024-10-01T10:36:59Z

Ok,

From the error I get that you are running on Windows, right? Are you able to consume the camera feed using Opencv?
this may be used to confirm: https://www.geeksforgeeks.org/python-opencv-capture-video-from-camera/

yeongnamtan · 2024-10-02T02:15:27Z

i am running on windows. I can consume the camera feed using OpenCV.

PawelPeczek-Roboflow · 2024-10-02T07:33:40Z

could you please show the script you use to start inference pipeline?

yeongnamtan · 2024-10-02T08:13:52Z

Import the InferencePipeline object

from inference import InferencePipeline
import cv2

def my_sink(result, video_frame):
if result.get("output_image"): # Display an image from the workflow response
cv2.imshow("Workflow Image", result["output_image"].numpy_image)
cv2.waitKey(1)
#print(result) # do something with the predictions of each frame

https://app.roboflow.com/fish-laucn/workflows/edit/sahi-people-detection

initialize a pipeline object

pipeline = InferencePipeline.init_with_workflow(
api_key="xxx",
workspace_name="fish-laucn",
workflow_id="sahi-people-detection",
video_reference=0, # Path to video, device id (int, usually 0 for built in webcams), or RTSP stream url
max_fps=30,
on_prediction=my_sink
)
pipeline.start() #start the pipeline
pipeline.join() #wait for the pipeline thread to finish

PawelPeczek-Roboflow · 2024-10-02T08:29:55Z

masked your API key, but since you revealed it I strongly recommend rotating

PawelPeczek-Roboflow · 2024-10-02T08:30:16Z

well - looks good here - are you sure the camera is under device 0?

PawelPeczek-Roboflow · 2024-10-02T08:31:16Z

I mean does:

import cv2

# Open the default camera
cam = cv2.VideoCapture(0)

print(cam.isOpened())

says true?

yeongnamtan · 2024-10-03T01:36:39Z

(newenv) PS C:\Users\yeong> python
Python 3.9.12 (main, Apr 4 2022, 05:22:27) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.

import cv2
cam = cv2.VideoCapture(0)
print(cam.isOpened())
True

I had rotated my API key

PawelPeczek-Roboflow · 2024-10-03T07:48:16Z

Ok, honestly I do not know why you cannot grab the video frames in inference pipeline.
I have a feeling that adding this to inference pipeline may solve the problem.

You can try to override video consumer for inference pipeline with this code:

from typing import Any, Callable, Dict, List, Optional, Protocol, Tuple, Union

from inference.core.interfaces.camera.video_source import CV2VideoFrameProducer

class WindowsCV2VideoFrameProducer(CV2VideoFrameProducer):
    def __init__(self, video: Union[str, int]):
        if isinstance(video, int):
            self.stream = cv2.VideoCapture(video, cv2.CAP_DSHOW)
        else:
            super().__init__(video)

and then kick of inference pipeline with

from functools import partial 


pipeline = InferencePipeline.init_with_workflow(
    api_key="xxx",
    workspace_name="fish-laucn",
    workflow_id="sahi-people-detection",
    video_reference=partial(WindowsCV2VideoFrameProducer, video=0), # Path to video, device id (int, usually 0 for built in webcams), or RTSP stream url
    max_fps=30,
    on_prediction=my_sink
)

yeongnamtan added the question Further information is requested label Sep 30, 2024

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Running workflow on local machine error #690

Running workflow on local machine error #690

yeongnamtan commented Sep 30, 2024

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yeongnamtan commented Oct 2, 2024 •

edited by PawelPeczek-Roboflow

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Running workflow on local machine error #690

Running workflow on local machine error #690

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yeongnamtan commented Sep 30, 2024

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yeongnamtan commented Oct 2, 2024 • edited by PawelPeczek-Roboflow Loading

Import the InferencePipeline object

initialize a pipeline object

PawelPeczek-Roboflow commented Oct 2, 2024

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yeongnamtan commented Oct 2, 2024 •

edited by PawelPeczek-Roboflow

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