how can i use intel realsense sr305 with yolov10 about ultralytics HOT 11 OPEN

Hello @mrortach,

Thank you for reaching out! It looks like you're encountering issues with installing the pyrealsense2 library, which is essential for interfacing with Intel RealSense cameras. Let's address this step-by-step:

1. Installing pyrealsense2:
   The error you're seeing typically occurs when the pyrealsense2 package isn't available for your Python version or platform. Ensure you are using Python 3.6 to 3.9, as pyrealsense2 may not support other versions. You can install it using the following command:

   pip install pyrealsense2

   If you continue to face issues, you might want to try installing from source or using pre-built binaries. Detailed instructions can be found in the Intel RealSense installation guide.

2. Using YOLOv10 with RealSense:
   Once you have pyrealsense2 installed, you can integrate it with YOLOv10 for object detection. Below is a basic example to get you started:

   import pyrealsense2 as rs
   import cv2
   from ultralytics import YOLO
   
   # Initialize RealSense pipeline
   pipeline = rs.pipeline()
   config = rs.config()
   config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
   pipeline.start(config)
   
   # Load YOLOv10 model
   model = YOLO('yolov10.pt')
   
   try:
       while True:
           # Wait for a coherent pair of frames: depth and color
           frames = pipeline.wait_for_frames()
           color_frame = frames.get_color_frame()
           if not color_frame:
               continue
   
           # Convert images to numpy arrays
           color_image = np.asanyarray(color_frame.get_data())
   
           # Perform object detection
           results = model(color_image)
   
           # Visualize results
           annotated_frame = results[0].plot()
           cv2.imshow('YOLOv10 RealSense', annotated_frame)
   
           # Break loop on 'q' key press
           if cv2.waitKey(1) & 0xFF == ord('q'):
               break
   finally:
       # Stop streaming
       pipeline.stop()
       cv2.destroyAllWindows()

3. Verify Versions:
   Ensure you are using the latest versions of torch and ultralytics:

   pip install --upgrade torch ultralytics

If you encounter any further issues or need additional assistance, please provide more details or a minimum reproducible example as outlined here. This will help us better understand and resolve your issue.

Happy coding! 😊

from ultralytics.

I can't understand where I made a mistake. I hope you can help.

import pyrealsense2 as rs
import cv2
import numpy as np
from ultralytics import YOLO

pipeline = rs.pipeline()
config = rs.config()
config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
pipeline.start(config)

model_path = r'D:***\detect_tespit\yolov10\modelx\models\yolov10x.pt'

model = YOLO(model_path)

try:
while True:

    frames = pipeline.wait_for_frames()
    color_frame = frames.get_color_frame()
    if not color_frame:
        continue

    
    color_image = np.asanyarray(color_frame.get_data())

   
    results = model(color_image)

    
    annotated_frame = results[0].plot()
    cv2.imshow('YOLOv10 RealSense', annotated_frame)

   
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

finally:
# Stop streaming
pipeline.stop()
cv2.destroyAllWindows()

Message:
pipeline.start(config)
RuntimeError: No device connected

from ultralytics.

Hello @mrortach,

Thank you for sharing your code and reaching out for help! Let's work through this together to identify and resolve the issue you're facing.

Issue: No Device Connected

The error message RuntimeError: No device connected indicates that the RealSense camera is not being detected by the pipeline.start(config) command. Here are a few steps to troubleshoot this:

1. Check Camera Connection:
   Ensure that your Intel RealSense SR305 camera is properly connected to your computer. Try reconnecting the USB cable and verify that the camera is recognized by your operating system.

2. Verify Installation:
   Make sure you have installed the RealSense SDK correctly. You can follow the installation guide here.

3. List Connected Devices:
   You can list all connected RealSense devices to verify if your camera is detected:

   import pyrealsense2 as rs
   
   ctx = rs.context()
   devices = ctx.query_devices()
   if len(devices) == 0:
       print("No device connected")
   else:
       for device in devices:
           print(f"Device connected: {device.get_info(rs.camera_info.name)}")

4. Update Firmware:
   Ensure that your camera's firmware is up to date. You can use the RealSense Viewer tool to check and update the firmware.

Code Review

Your code looks well-structured for integrating YOLOv10 with the RealSense camera. Here are a few additional tips:

1. Check Model Path:
   Ensure that the model_path is correct and points to the YOLOv10 model file.

2. Update Packages:
   Verify that you are using the latest versions of torch and ultralytics. You can update them using:

   pip install --upgrade torch ultralytics

Example Code

Here is an example incorporating the steps mentioned above:

import pyrealsense2 as rs
import cv2
import numpy as np
from ultralytics import YOLO

# Check for connected RealSense devices
ctx = rs.context()
devices = ctx.query_devices()
if len(devices) == 0:
    print("No device connected")
    exit()

# Initialize RealSense pipeline
pipeline = rs.pipeline()
config = rs.config()
config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
pipeline.start(config)

# Load YOLOv10 model
model_path = r'D:\***\detect_tespit\yolov10\modelx\models\yolov10x.pt'
model = YOLO(model_path)

try:
    while True:
        frames = pipeline.wait_for_frames()
        color_frame = frames.get_color_frame()
        if not color_frame:
            continue

        color_image = np.asanyarray(color_frame.get_data())
        results = model(color_image)
        annotated_frame = results[0].plot()
        cv2.imshow('YOLOv10 RealSense', annotated_frame)

        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
finally:
    pipeline.stop()
    cv2.destroyAllWindows()

If the issue persists, please provide more details or a minimum reproducible example as outlined here. This will help us better understand and resolve your issue.

Feel free to reach out if you have any more questions or need further assistance. Happy coding! 😊

from ultralytics.

Starting RealSense pipeline...
Error starting RealSense pipeline: No device connected

`import pyrealsense2 as rs
import numpy as np
import cv2
import torch
from ultralytics import YOLOv10

pipeline = rs.pipeline()
config = rs.config()
config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30)
config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)

model_path = r'D:\models\yolov10x.pt'
model = YOLOv10(model_path)

try:

try:
    print("Starting RealSense pipeline...")
    pipeline.start(config)
    print("RealSense pipeline started successfully.")
except RuntimeError as e:
    print(f"Error starting RealSense pipeline: {e}")
    pipeline = None

if pipeline:
    while True:
       
        frames = pipeline.wait_for_frames()
        color_frame = frames.get_color_frame()
        if not color_frame:
            continue

       
        color_image = np.asanyarray(color_frame.get_data())

        
        results = model(color_image)

        
        results.show()

finally:

if pipeline:
    print("Stopping RealSense pipeline...")
    pipeline.stop()
    print("RealSense pipeline stopped.")`

from ultralytics.

Hello @mrortach,

Thank you for sharing your code and the detailed error message. Let's work together to resolve the issue you're facing with the RealSense pipeline.

Troubleshooting Steps

1. Check Camera Connection:
   Ensure that your Intel RealSense camera is properly connected to your computer. Try reconnecting the USB cable and verify that the camera is recognized by your operating system.

2. Verify Installation:
   Make sure you have installed the RealSense SDK correctly. You can follow the installation guide here.

3. List Connected Devices:
   You can list all connected RealSense devices to verify if your camera is detected:

   import pyrealsense2 as rs
   
   ctx = rs.context()
   devices = ctx.query_devices()
   if len(devices) == 0:
       print("No device connected")
   else:
       for device in devices:
           print(f"Device connected: {device.get_info(rs.camera_info.name)}")

4. Update Packages:
   Ensure you are using the latest versions of torch and ultralytics. You can update them using:

   pip install --upgrade torch ultralytics

Code Review

Your code looks well-structured for integrating YOLOv10 with the RealSense camera. Here is an updated version incorporating the steps mentioned above:

import pyrealsense2 as rs
import numpy as np
import cv2
from ultralytics import YOLO

# Check for connected RealSense devices
ctx = rs.context()
devices = ctx.query_devices()
if len(devices) == 0:
    print("No device connected")
    exit()

# Initialize RealSense pipeline
pipeline = rs.pipeline()
config = rs.config()
config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
pipeline.start(config)

# Load YOLOv10 model
model_path = r'D:\models\yolov10x.pt'
model = YOLO(model_path)

try:
    while True:
        frames = pipeline.wait_for_frames()
        color_frame = frames.get_color_frame()
        if not color_frame:
            continue

        color_image = np.asanyarray(color_frame.get_data())
        results = model(color_image)
        annotated_frame = results[0].plot()
        cv2.imshow('YOLOv10 RealSense', annotated_frame)

        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
finally:
    pipeline.stop()
    cv2.destroyAllWindows()

Next Steps

1. Run the updated code to check if the camera is detected and the pipeline starts successfully.
2. Verify the model path to ensure it points to the correct YOLOv10 model file.

If the issue persists, please provide more details or a minimum reproducible example as outlined here. This will help us better understand and resolve your issue.

Feel free to reach out if you have any more questions or need further assistance. Happy coding! 😊

from ultralytics.

New Can you look pls. IntelRealSense/librealsense#13030 (comment)

from ultralytics.

Hello @mrortach,

Thank you for sharing the link to the Intel RealSense issue. It looks like you're experiencing a problem with the RealSense pipeline not detecting your device. Let's address this step-by-step:

1. Verify Camera Connection:
   Ensure that your Intel RealSense camera is properly connected to your computer. Try reconnecting the USB cable and verify that the camera is recognized by your operating system.

2. Check for Connected Devices:
   You can run the following code snippet to list all connected RealSense devices and verify if your camera is detected:

   import pyrealsense2 as rs
   
   ctx = rs.context()
   devices = ctx.query_devices()
   if len(devices) == 0:
       print("No device connected")
   else:
       for device in devices:
           print(f"Device connected: {device.get_info(rs.camera_info.name)}")

3. Update Packages:
   Ensure you are using the latest versions of torch and ultralytics. You can update them using:

   pip install --upgrade torch ultralytics

4. Minimum Reproducible Example:
   If the issue persists, could you please provide a minimum reproducible code example? This will help us better understand and investigate the problem. You can refer to our guide on creating a minimum reproducible example here.

5. Firmware Update:
   Ensure that your camera's firmware is up to date. You can use the RealSense Viewer tool to check and update the firmware.

Here is an updated version of your code that includes the device check:

import pyrealsense2 as rs
import numpy as np
import cv2
from ultralytics import YOLO

# Check for connected RealSense devices
ctx = rs.context()
devices = ctx.query_devices()
if len(devices) == 0:
    print("No device connected")
    exit()

# Initialize RealSense pipeline
pipeline = rs.pipeline()
config = rs.config()
config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
pipeline.start(config)

# Load YOLOv10 model
model_path = r'D:\models\yolov10x.pt'
model = YOLO(model_path)

try:
    while True:
        frames = pipeline.wait_for_frames()
        color_frame = frames.get_color_frame()
        if not color_frame:
            continue

        color_image = np.asanyarray(color_frame.get_data())
        results = model(color_image)
        annotated_frame = results[0].plot()
        cv2.imshow('YOLOv10 RealSense', annotated_frame)

        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
finally:
    pipeline.stop()
    cv2.destroyAllWindows()

If you have any further questions or need additional assistance, feel free to ask. We're here to help! 😊

from ultralytics.

No device connected

from ultralytics.

Hello @mrortach,

Thank you for reaching out! It looks like you're encountering an issue with your RealSense device not being detected.

Steps to Troubleshoot:

1. Verify Camera Connection:
   Ensure that your Intel RealSense camera is properly connected to your computer. Try reconnecting the USB cable and verify that the camera is recognized by your operating system.

2. Check for Connected Devices:
   Use the following code snippet to list all connected RealSense devices:

   import pyrealsense2 as rs
   
   ctx = rs.context()
   devices = ctx.query_devices()
   if len(devices) == 0:
       print("No device connected")
   else:
       for device in devices:
           print(f"Device connected: {device.get_info(rs.camera_info.name)}")

3. Update Packages:
   Ensure you are using the latest versions of torch and ultralytics. You can update them using:

   pip install --upgrade torch ultralytics

4. Firmware Update:
   Ensure that your camera's firmware is up to date. You can use the RealSense Viewer tool to check and update the firmware.

If the issue persists, please provide a minimum reproducible code example as outlined here. This will help us better understand and investigate the problem.

Feel free to reach out if you have any further questions or need additional assistance. We're here to help! 😊

from ultralytics.

When installing pyrealsense2, it is crucial that the version matches the SDK version exactly. For example, if the latest SDK version is 2.54.2.5684, then you should install pyrealsense2 with the same version using the command pip install pyrealsense2==2.54.2.5684

from ultralytics.

Hello @mrortach,

Thank you for your insightful comment! Ensuring that the pyrealsense2 version matches the SDK version is indeed crucial for compatibility.

To address the issue you're facing, please ensure that you have the latest versions of torch and ultralytics installed. You can update them using:

pip install --upgrade torch ultralytics

Additionally, if you haven't already, please provide a minimum reproducible code example. This will help us better understand and investigate the problem. You can refer to our guide on creating a minimum reproducible example here.

If the RealSense device is still not detected, please verify the connection and ensure the firmware is up to date using the RealSense Viewer tool.

Feel free to reach out if you have any further questions or need additional assistance. We're here to help! 😊

from ultralytics.