Cannot install -r requirements.txt (line 16) because these package versions have conflicting dependencies.

[hellocrystal]

Search before asking

• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

No response

Bug

1

Environment

No response

Minimal Reproducible Example

Cannot install -r requirements.txt (line 16) because these package versions have conflicting dependencies.

Additional

1

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

👋 Hello @hellocrystal, 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.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

Requirements

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

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

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]

Hello @hellocrystal, thank you for reaching out to us regarding installation issues with YOLOv5 🚀.

It seems that you might have some conflicting dependencies. One suggestion is to create a new virtual environment and install the required dependencies into it. Here are a few examples of commands that may work on your system.

Option 1: Install in a new virtual environment

# clone the repository
git clone https://github.com/ultralytics/yolov5.git
cd yolov5
# create a new virtual environment
python3 -m venv env
source env/bin/activate
# install dependencies
pip install -U pip
pip install wheel
pip install -r requirements.txt

Option 2: Install specific versions of conflicting packages

# clone the repository
git clone https://github.com/ultralytics/yolov5.git
cd yolov5
# install specific versions of conflicting packages
pip install 'numpy==1.17'
pip install 'Pillow<7.0.0'
# install remaining dependencies
pip install -r requirements.txt

Please give these suggestions a try and let us know if they help resolve the issue. Thanks!

[hellocrystal]

thank you so much. first, i cd d second,conda create --name yolov5 python=3.7 then,activate tolov5 then,cd D:\python\ml\design\19420202蔡诗乐选题2基于SVM+朴素贝叶斯+Adaboost的微博文本情感分析\yolov5-6.1 then ,pip install -r requirements.txt then that`s why i feel confused. Another question is  仙仙不庶爱paper ***@***.*** it doesnot chose one but all vision that above the vision in requirement? At last,that`s the situation now.   that`s all.3Q

…

------------------ 原始邮件 ------------------ 发件人: "ultralytics/yolov5" ***@***.***>; 发送时间: 2023年4月25日(星期二) 中午11:10 ***@***.***>; ***@***.******@***.***>; 主题: Re: [ultralytics/yolov5] Cannot install -r requirements.txt (line 16) because these package versions have conflicting dependencies. (Issue #11433) 👋 Hello @hellocrystal, 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. If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it. If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results. Requirements Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started: git clone https://github.com/ultralytics/yolov5 # clone cd yolov5 pip install -r requirements.txt # install Environments YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled): Notebooks with free GPU: Google Cloud Deep Learning VM. See GCP Quickstart Guide Amazon Deep Learning AMI. See AWS Quickstart Guide Docker Image. See Docker Quickstart Guide Status If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit. 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 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: ***@***.***>

[hellocrystal]

after i cd virtual environment,err apprear as follows. HELP HELP 3Q my god 仙仙不庶爱paper ***@***.***  

…

------------------&nbsp;原始邮件&nbsp;------------------ 发件人: "ultralytics/yolov5" ***@***.***&gt;; 发送时间:&nbsp;2023年4月25日(星期二) 下午4:48 ***@***.***&gt;; ***@***.******@***.***&gt;; 主题:&nbsp;Re: [ultralytics/yolov5] Cannot install -r requirements.txt (line 16) because these package versions have conflicting dependencies. (Issue #11433) Hello @hellocrystal, thank you for reaching out to us regarding installation issues with YOLOv5 🚀. It seems that you might have some conflicting dependencies. One suggestion is to create a new virtual environment and install the required dependencies into it. Here are a few examples of commands that may work on your system. Option 1: Install in a new virtual environment # clone the repository git clone https://github.com/ultralytics/yolov5.git cd yolov5 # create a new virtual environment python3 -m venv env source env/bin/activate # install dependencies pip install -U pip pip install wheel pip install -r requirements.txt Option 2: Install specific versions of conflicting packages # clone the repository git clone https://github.com/ultralytics/yolov5.git cd yolov5 # install specific versions of conflicting packages pip install 'numpy==1.17' pip install 'Pillow<7.0.0' # install remaining dependencies pip install -r requirements.txt Please give these suggestions a try and let us know if they help resolve the issue. Thanks! — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: ***@***.***&gt;

[github-actions]

👋 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.

For additional resources and information, please see the links below:

• Docs: https://docs.ultralytics.com
• HUB: https://hub.ultralytics.com
• Community: https://community.ultralytics.com

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

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

[glenn-jocher]

Hello again @hellocrystal! I'm sorry to hear you're still encountering issues. Let's try to resolve this step by step.

1. Ensure you have activated your conda environment with conda activate yolov5.
2. Once activated, try clearing any existing installations that might conflict with:

   pip uninstall -y -r requirements.txt

3. Then, attempt to reinstall the requirements:

   pip install -r requirements.txt

If you still encounter errors, please copy and paste the error message here so we can better understand the issue.

Regarding your question about package versions, pip will attempt to install versions that satisfy the requirements specified in requirements.txt. If there's a version conflict, it may be due to previously installed packages in your environment or sub-dependencies that have their own version requirements.

If you're willing to submit a PR and have identified a fix for the conflicting dependencies, we'd certainly welcome your contribution to the YOLOv5 project!

Thank you for your patience and for being part of the YOLOv5 community. 🌟