Closed jaskiratsingh2000 closed 3 years ago
@jaskiratsingh2000 it appears you may have environment problems. Please ensure you meet all dependency requirements if you are attempting to run YOLOv5 locally. If in doubt, create a new virtual Python 3.8 environment, clone the latest repo (code changes daily), and pip install -r requirements.txt
again. We also highly recommend using one of our verified environments below.
Python 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7
. To install run:
$ pip install -r requirements.txt
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are passing. These tests evaluate proper operation of basic YOLOv5 functionality, including training (train.py), testing (test.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu.
@glenn-jocher I am meeting all the requirements.
Also, I just checked that a similar kind of issue was referred here but not sure that commenting or uncommenting anything can solve this purpose. I am using Python 3.8.5 with Pytorch 0.7.0 and torchvision 0.8.1
Can you suggest edits like commenting or uncommenting whatever needed because everything seems to be okay in terms of requirements at my end.
Please let me know if there is any other possibility? @glenn-jocher
@glenn-jocher please let me know if possible that would be of great help
@jaskiratsingh2000 use a verified environment:
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
@glenn-jocher I totally understands that but my issue is that I don't want to run in verified environments but want to run on Rasoberry Pi.
Its quite sad for me to see that being a repo problem, there is to solution to that. Not even getting better response π
Till when would that be possible?
Is this problem solved nowοΌI face the same question and all the requirements are satisfied!
@Stepend it appears you may have environment problems. Please ensure you meet all dependency requirements if you are attempting to run YOLOv5 locally. If in doubt, create a new virtual Python 3.8 environment, clone the latest repo (code changes daily), and pip install -r requirements.txt
again. We also highly recommend using one of our verified environments below.
Python 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7
. To install run:
$ pip install -r requirements.txt
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are passing. These tests evaluate proper operation of basic YOLOv5 functionality, including training (train.py), testing (test.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu.
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@glenn-jocher please please need your help here as I was not able to run the yolov5 due to errors but I see the same in yolofv3 as well. Can you please help me resolve these errors?
Command ran: python3 train.py --img 416 --batch 10 --epochs 100 --data ./data.yaml --cfg ./models/yolov3.yaml --weights yolov3.pt
I am running this on my local and I have already ran on your environerments as well so please consider taking a look here that how can I resolve this error.