ultralytics / yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Unable to Run webcam #11895

Closed elanchezhiyan-official closed 1 year ago

elanchezhiyan-official commented 1 year ago

Search before asking

YOLOv5 Component

No response

Bug

When I try to Run my Yolov5 through my webcam, by the following command

python3 detect.py --source 0

it just gets struck and not even accessing my webcam, image

it gets struck exactly after this point,

Fusing layers... 
YOLOv5s summary: 213 layers, 7225885 parameters, 0 gradients

Environment

No response

Minimal Reproducible Example

No response

Additional

No response

Are you willing to submit a PR?

github-actions[bot] commented 1 year ago

👋 Hello @Mr-Elan, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

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cd yolov5
pip install -r requirements.txt  # install

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Introducing YOLOv8 🚀

We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!

Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.

Check out our YOLOv8 Docs for details and get started with:

pip install ultralytics
glenn-jocher commented 1 year ago

@Mr-Elan hi there! 👋

Thank you for reaching out. To resolve the issue with running YOLOv5 through your webcam, there are a few things you can try:

  1. Make sure you have the necessary permissions to access your webcam.
  2. Check if your webcam is supported by your operating system and check if it is functioning properly.
  3. Verify that you have installed all the required dependencies correctly. You can refer to the YOLOv5 installation documentation for reference.
  4. Ensure that you are using the latest version of YOLOv5 and all its dependencies. You can update by running git pull in the YOLOv5 repository.

If the issue persists, please provide more information about your environment and any error messages you receive, so that we can better assist you in finding a solution.

Thanks for your interest in contributing! If you would like to submit a Pull Request, please follow our contribution guidelines outlined in the CONTRIBUTING.md file.

Let us know if you have any further questions. We're here to help!

elanchezhiyan-official commented 1 year ago

I have tried git pull, yet my yolov5 is not working for my webcam, though i am able to run yolov5 for external pictures and other pictures taken through my webcam. image

glenn-jocher commented 1 year ago

@Mr-Elan thank you for your feedback and providing the additional information. It's great to hear that YOLOv5 is working for external pictures and other images from your webcam.

To troubleshoot the issue with accessing your webcam through YOLOv5, I recommend checking the following:

  1. Verify that your webcam is functioning properly and that you have the necessary permissions to access it.

  2. Ensure that you have the most up-to-date drivers for your webcam and that it is supported by your operating system.

  3. Double-check that the camera index 0 is correct for your webcam. You can try using a different index value, such as 1, to see if that resolves the issue.

If the problem persists, please provide any error messages or log outputs related to the webcam issue, as that will help us further investigate and assist you in resolving it.

Thank you for your patience and understanding. We are here to help you get YOLOv5 working with your webcam successfully!

elanchezhiyan-official commented 1 year ago

Yup i made sure that the necessary permissions are given, am able to run cv2.imshow, also drivers are upto date with permission as am able to run cheese and other opencv commands,

i did double check the other sources and yet it didnt work image

glenn-jocher commented 1 year ago

@Mr-Elan thank you for providing the additional information and checking the necessary permissions and drivers for your webcam. It's good to know that you are able to run cv2.imshow and other OpenCV commands successfully.

Based on the screenshot you shared, it seems that the issue is with YOLOv5 specifically when accessing the webcam. To further investigate and help you resolve the problem, could you please provide any error messages or log outputs related to this issue? This will greatly assist us in identifying the root cause and providing a solution.

We appreciate your patience and collaboration in troubleshooting this issue. Please let us know if there is anything else we can do to assist you.

elanchezhiyan-official commented 1 year ago

Well am not getting any log outputs or any error messages, as you could see above my screen just ceases at this line,

`Fusing layers... 
YOLOv5s summary: 213 layers, 7225885 parameters, 0 gradients`

is there anyway i could recieve any log outputs from this scenario?

elanchezhiyan-official commented 1 year ago

So here i turned on my camera through cheese and tried running yolo, and its showing the same error image

According to my conscience, if yolov5 worked right now, the ylov5 should pop an error stating that camera module is used by someother , but yolov5 did'nt put forward that error as we could see, so can we state that, yolov5 has not even tried to connect to my camera?

glenn-jocher commented 1 year ago

@Mr-Elan based on the screenshot you provided, it appears that YOLOv5 did not output any error message related to the camera connection. This suggests that YOLOv5 might not have attempted to connect to the camera.

To further investigate this issue, you can try the following steps:

  1. Double-check that your camera is functioning properly and accessible by other applications, such as Cheese.

  2. Verify that the correct camera index is being used by YOLOv5. You can try changing the camera index value passed to the cv2.VideoCapture() function to see if it makes a difference.

  3. Ensure that you have the necessary permissions to access the camera. You can try running the script with administrator privileges or using sudo if you are on a Linux system.

If the above steps do not resolve the issue, it could be worth exploring if any environment-specific configurations are causing the problem. Isolating the issue by trying YOLOv5 on a different machine or using a different webcam can also help identify if the problem is specific to your current setup.

I hope this information helps you in troubleshooting the camera connection issue with YOLOv5. Let us know if you have any further questions or if there is anything else we can do to assist you.

elanchezhiyan-official commented 1 year ago

hey buddy, I tried running it with sudo, it said that pytorch is missing, image

so i re installed a new enviroinment and downloaded pytorch and now its working good, Thank you so much buddy,

Actually I am working on a project now, that i need to find the centre of bounding boxes, could you recommend me any recources to learn about it and work with it?

glenn-jocher commented 1 year ago

@Mr-Elan hey there,

I'm glad to hear that re-installing a new environment and downloading PyTorch resolved the issue for you. Great job troubleshooting!

Regarding your project and finding the center of bounding boxes, there are several resources available that can help you learn and work with this task. Here are a few recommendations:

  1. The YOLOv5 documentation provides a good starting point for understanding bounding boxes and their coordinates. You can refer to the YOLOv5 documentation for more details.

  2. The PyTorch documentation offers comprehensive information about working with PyTorch tensors and manipulating bounding box coordinates. You can explore the PyTorch documentation to learn more about tensor operations and coordinate transformations.

  3. The OpenCV library also provides valuable resources for working with bounding boxes. OpenCV has various functions to calculate the center of a bounding box and perform related operations. You can refer to the OpenCV documentation for detailed information and examples.

I hope these resources help you in your project. Feel free to ask if you have any further questions or need more specific guidance. Good luck with your project!

github-actions[bot] commented 1 year ago

👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

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Thank you for your contributions to YOLO 🚀 and Vision AI ⭐

soumyajit451 commented 8 months ago

hey buddy, I tried running it with sudo, it said that pytorch is missing, image

so i re installed a new enviroinment and downloaded pytorch and now its working good, Thank you so much buddy,

Actually I am working on a project now, that i need to find the centre of bounding boxes, could you recommend me any recources to learn about it and work with it?

Do you solve this problem

glenn-jocher commented 8 months ago

@soumyajit451, I'm thrilled to hear that setting up a new environment and installing PyTorch got everything working smoothly for you! 😄

For your project on finding the center of bounding boxes, here's a simple approach you can use:

  1. Understanding Bounding Box Representation: Typically, a bounding box is represented by [x1, y1, x2, y2], where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner. Alternatively, YOLO format uses the center coordinates and width and height of the box [cx, cy, w, h].

  2. Calculating the Center: If you have the top-left and bottom-right coordinates, the center (cx, cy) can be calculated as:

    cx = (x1 + x2) / 2
    cy = (y1 + y2) / 2

    If you're working with YOLO format, you already have the center coordinates.

  3. Learning Resources: The Ultralytics documentation is a great place to start, as it will give you insights into how YOLOv5 handles bounding boxes. For more hands-on coding, you might want to explore tutorials on PyTorch and OpenCV, as they often include examples of working with bounding boxes in images and video streams.

Remember, practice is key. Experiment with drawing bounding boxes and calculating their centers on a set of images to get a good grasp of the concepts.

Keep up the great work on your project, and don't hesitate to reach out if you have more questions or need further assistance! 🚀

soumyajit451 commented 8 months ago

@glenn-jocher
image

But manually I don't have any problem for opening my camera even it is opening in other webapp (webcam) So how can I resolve this ?

elanchezhiyan-official commented 8 months ago

hey buddy, I tried running it with sudo, it said that pytorch is missing, image so i re installed a new enviroinment and downloaded pytorch and now its working good, Thank you so much buddy, Actually I am working on a project now, that i need to find the centre of bounding boxes, could you recommend me any recources to learn about it and work with it?

Do you solve this problem

Yeahh it's sorted ,Thanks buddy

elanchezhiyan-official commented 8 months ago

@glenn-jocher image

But manually I don't have any problem for opening my camera even it is opening in other webapp (webcam) So how can I resolve this ?

Check which port value your camera opens up, Usually for your webcam its 0, For external cam it's 1 or 2,

Try to change the arguments(source) accordingly and then run the yolo model .

glenn-jocher commented 8 months ago

It's great to hear that you've resolved the issue with PyTorch and your environment, @elanchezhiyan-official!

Regarding the webcam access, if you're able to open your camera manually and with other applications, but YOLOv5 is not accessing it, here are a few troubleshooting steps:

  1. Check Camera Permissions: Ensure that the terminal or the environment from which you're running YOLOv5 has the necessary permissions to access the webcam.

  2. Verify Camera Index: The default camera index is 0, but if you have multiple camera devices, your webcam might be under a different index. Try incrementing the index to 1, 2, etc., by running python3 detect.py --source 1 and so on.

  3. Camera Drivers: Ensure that your camera drivers are up to date and properly installed.

  4. Reboot: Sometimes, a simple system reboot can resolve resource conflicts with the camera.

  5. Check for Errors: Run the script in verbose mode or check the logs for any errors that might give you more information about the issue.

If you continue to experience issues, please provide more details about your environment and any error messages you're seeing, and we'll be happy to help further. Keep up the good work! 👍