quickstart/ #8126
Replies: 15 comments 37 replies
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Can you add this commands to relevant files import os to work around this error OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized. To Reproduce |
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Hello, I'm using yolov8 on NVIDIA Jetson Nano. I executed objecdetection prediction on native, docker(Dockerfile-jetson), docker(Dockerfile-arm64). Can you explain about this? Thanks. |
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hi, im using yolov8 and i have some problems... |
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How can I implement the detection and segmentation model? I find that I can implement the detection model but not the segmentation model |
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Hi, I am using YOLOv8 and I am facing problem. Error message: There is no error whenever I commented out YOLO command. /object_detection2.py******/ def init(): def detect(): /c++ function******/ |
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Hi all, Has anybody tried building a conda environment? I tried it by installing the latest PyTorch (CPU) for conda and then by installing Ultralytics for conda. I got a lot of conflict errors. However, installing ultralytics from PyPI inside the conda environment works fine. I think there should be recommended versions for both PyTorch and Ultralytics. |
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Please be specific on the conflict errors. It will be helpful to post the errors.
On Thursday 11 July 2024 at 05:42:24 pm GMT+8, Adeel Akram ***@***.***> wrote:
Hi all,
Does anybody tried building a conda envirionment? I tried it by first installing latest PyTorch (CPU) for conda and then by installing Ultralytics for conda. I got a lot of conflict errors. However, installing ultralytics from PyPI inside conda environemnt works fine. I think there should be recommended versions for both PyTorch and Ultralytics.
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Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you were mentioned.Message ID: ***@***.***>
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Thank you for this great application! It has been amazing detecting objects with high occlusion successfully although I am a real Python beginner. I successfully trained a model myself using Spyder in Anaconda navigator after setting everything myself. I also successfully predicted objects in my own dataset until my Anaconda navigator stopped working when I tried to install an application at certain point. So, now I have uninstalled everything and reinstalled Python this time without Anaconda: Python and Spyder connected with kernels. Before, I did not like that I could not use pip due to Anaconda. I installed Ultralytics and PyTorch following the instruction. However, the prediction is completely wrong although the console does not show any error message. I have no clue what I should troubleshoot. What do you think is wrong? |
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I tried the basic install using 'pip install ultralytics' on computer with only CPU. Any idea? Thanks! |
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Hey, here are some issues while using I change settings, though it does not affect training process: runs are still go into "runs" under current directory, not under '/yolo_training/my_runs' working_dir = Path('/yolo_training')
ultralytics.settings.update({
'runs_dir': str(working_dir/'my_runs'),
'weights_dir': str(working_dir/'my_weights'),
'datasets_dir': str(working_dir/'my_datasets')
}) I am trying to train Yolov10 as following model = YOLO(model='yolov10l.pt', task='detect')
train_results = model.train(
data=str(dataset_cfg_path),
val=True,
epochs=1,
batch=16,
cache=False,
workers=32,
patience=3,
verbose=True,
device='0'
) and here is another issue: |
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Hi! How can I plot some samples of the dataset with the bounding box for object detection before training with ultralytics? With the goal to check qualitatively the dataset is okay |
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I have my setting file: Initialize model and specify the checkpoint#model = YOLO('yolo11n.pt') # Use a pretrained YOLO model Train the model with custom datasetmodel.train( ) metrics = model.val(data='stream1.yaml', imgsz=640) |
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ProblemI am getting the following message:
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quickstart/
Explore various methods to install Ultralytics using pip, conda, git and Docker. Learn how to use Ultralytics with command line interface or within your Python projects.
https://docs.ultralytics.com/quickstart/
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