models/yolo-world/ #8224
Replies: 19 comments 57 replies
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Authors of yolo world released instructions to fine tune their models, would that be supported by ultralytics? if so id like to contribute - https://github.com/AILab-CVC/YOLO-World/blob/master/docs/finetuning.md |
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im having trouble understanding what this is exactly, |
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I am getting different results for YOLOv8l-world compared to what I am trying on Yolo-World hugging face demo page, Any idea why this could be happening? |
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i tried this code to detect car and it's number plate. but i am not getting any results for number plate. car is working fine. what to do? |
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Nice job. I am very glad that ultralytics have already support yolo-world. And I found that you are already support the coreml export. This works. from ultralytics import YOLOWorld
model = YOLOWorld('yolov8s-world.pt')
model.export(format='coreml') But when I want to set the classes, it does not work. from ultralytics import YOLOWorld
model = YOLOWorld('yolov8s-world.pt')
model.set_classes(["colorchecker", "ball", "object", "painting", "flower", "vase", "lavander", "rabbit"])
model.export(format='coreml') The error is: Ultralytics YOLOv8.1.17 🚀 Python-3.10.12 torch-2.1.0+cu121 CPU (Intel Xeon 2.00GHz)
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RuntimeError Traceback (most recent call last)
<ipython-input-67-a013544c0706> in <cell line: 1>()
----> 1 model.export(format='coreml')
8 frames
/usr/local/lib/python3.10/dist-packages/torch/_tensor.py in __deepcopy__(self, memo)
84 return handle_torch_function(Tensor.__deepcopy__, (self,), self, memo)
85 if not self.is_leaf:
---> 86 raise RuntimeError(
87 "Only Tensors created explicitly by the user "
88 "(graph leaves) support the deepcopy protocol at the moment. "
RuntimeError: Only Tensors created explicitly by the user (graph leaves) support the deepcopy protocol at the moment. If you were attempting to deepcopy a module, this may be because of a torch.nn.utils.weight_norm usage, see https://github.com/pytorch/pytorch/pull/103001 |
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is there a away to fine tune the model if you manage to get fairly close to accurate to what you want to box bound but just need to focused on your particular application once you've set the model? |
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How can we run 'videos' with custom classes defined? |
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when the yolo world support "Training"? |
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are there plans to implement it to the export method? |
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Can we run inference with multiple images or batch of images for reducing overall computation time? |
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The model performance of the Yolo World Hugging Face model (https://huggingface.co/spaces/stevengrove/YOLO-World) is better for my purpose than the standard inference one "YOLOv8x-worldv2" for example. Because my lack of domain knowledge regarding this topics I can't make the HF model work on my Mac (not an M processor) so I would like to be able to use the model weights with the abstraction from the ultralytics library. Is there any way to use the author's provided weights together with the inference library? From the author's instruction on how to run the model on an image one needs the configuration file and the weights: https://github.com/AILab-CVC/YOLO-World The conf file I want to use and the weights are available here: Thank you in advance :) |
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Hello There, CODE: class WebcamApp:
Create a Tkinter windowroot = tk.Tk() Create the WebcamApp objectapp = WebcamApp(root, "Webcam Application")ERRORS: |
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How can I combine YOLO-World with SAHI to process satellite images? |
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I finetuned a yolo world model for a different classes which was not detectable using the original weights Now I have a weights for for detection of that classes. I also get another weight for class which are present in the original weight from ultralytics import YOLOWorld How can I combine both weights so that i can detect all required classes?? |
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I am trying to get the tracking id from image using below code img=cv2.imread('WA0004_444.jpg') when i check the results of tracking it is showing false id: None |
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Is the pre-trained weight file of YOLO-world currently provided by Ultralytics trained with Objects365v1, GQA, and Flickr30k, or was a different dataset used? Despite no difference in hyperparameters, why is there a performance difference between the versions from Hugging Face and Ultralytics? |
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Doesn't work for a simple class that is not included in coco classes. Original model works for all vocabulary. |
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Hello! I'm getting this error only when running
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Thanks for the great work! I'm wondering which training data has been used for yolov8x-worldv2 model? |
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models/yolo-world/
Discover YOLO-World, a YOLOv8-based framework for real-time open-vocabulary object detection in images. It enhances user interaction, boosts computational efficiency, and adapts across various vision tasks.
https://docs.ultralytics.com/models/yolo-world/
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