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43 views

i have an idea about an optimization method that i think if it is done right, it could result for an extremely light model. The Method evolves around a multi-step methodology that either reduce the ...
Bendouba Abdessalem's user avatar
Advice
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0 replies
37 views

I am trying to train a YOLOv11 model (Ultralytics) on a custom dataset that uses 4-channel inputs (RGB + a custom metadata channel). I’ve modified my architecture YAML to set ch: 4, and I’m ...
beinando's user avatar
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Advice
0 votes
1 replies
80 views

I'm tracking a target from an UAV using a thermal camera. Detection is YOLOv8n running every N frames on an NPU, and I need something to hold the track between detections. What I've tried: Template ...
Klim's user avatar
  • 1
Advice
2 votes
3 replies
128 views

I am trying to build a computer vision system to analyze classroom behavior from surveillance cameras. The goal is to automatically detect several behavioral indicators such as: - student attention - ...
AI助教_曾子昕's user avatar
0 votes
1 answer
3k views

I am getting the following error when trying to use PyTorch-based libraries (YOLO / ultralytics) on Windows. The error occurs on import torch, so any torch-based library fails. System information OS: ...
Imasha Nilupul's user avatar
0 votes
1 answer
147 views

I created a YOLO v11 DL model using a given dataset and both the train and prediction modules work fine in PyCharm. However, after exporting the model file to ONNX format and running the prediction ...
Carlos Ni's user avatar
1 vote
0 answers
42 views

I’m testing YOLOv8n-pose models that share the exact same architecture, input size, hardware (GPU), framework, batch size, and precision settings. The only difference between them is the trained ...
Hạnh Nhi Đỗ's user avatar
0 votes
1 answer
109 views

I am trying to calculate the confusion matrix for my yolov8 (or yolov11) model utilizing supervision from roboflow. I found some instructions but they do not seem to be crystal clear. For example ...
Eypros's user avatar
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0 answers
63 views

I’m applying QAT to YOLOv8n model with the following configuration: QConfig( activation=FakeQuantize.with_args( observer=MovingAverageMinMaxObserver, quant_min=0, quant_max=...
Matteo's user avatar
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0 answers
17 views

I am doing a yolov8 instance segmentation project. I creates a dataset with a few images using roboflow When I run it on my windows pc, it keeps saying the images are corrupted. But I have no issue ...
yeong nam tan's user avatar
0 votes
1 answer
134 views

class_id x_center y_center width height behavior_id eg.txt file data 6 0.260313 0.739167 0.131875 0.038333 1 6 0.580313 0.821250 0.290625 0.245834 0 6 0.821562 0.775416 0.230625 0.179167 0 6 0.914062 ...
himanshu's user avatar
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0 answers
62 views

I'm trying to run a YOLO-World V2 demo script inside a Docker/Buildah container, but I’m getting an import error related to a custom module: ImportError: Failed to import custom modules from {'imports'...
Rima's user avatar
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-1 votes
2 answers
169 views

I’m working on a card verification system where the goal is to detect fixed visual elements on a card (e.g., logo, photo, chip, signature) using computer vision. Given a photo of a card, I want to ...
Hakan Or's user avatar
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0 answers
197 views

I'm trying to use CVAT locally with Docker for image bounding box labeling. To save time, I'd like to use auto-annotation with a partially trained model. However, when I try to deploy the model from ...
SpicyCurry's user avatar
1 vote
0 answers
264 views

When using the Ultralytics library to perform model inference directly on an image, the model correctly predicts the bounding box positions and class identities: !pip install ultralytics opencv-python ...
dom's user avatar
  • 39

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