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Hi, I want to use the `EigenCAM` technique on `my YOLOv8n model`, preaddestred for a detection task.
Once i declare my YOLO .pt weights and I create my tensor image, I try to call the EigenCAM metho…
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```python
import cv2
from ultralytics import YOLO
# Load a pretrained YOLOv8n model
model = YOLO('yolov8n.pt')
# Read an image using OpenCV
source = cv2.imread('path/to/image.jpg')
# Run …
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D:\anaconda\envs\chat\python.exe D:/biyesheji/yolov10/yolov10/yolov10/yolov10-main/train.py
New https://pypi.org/project/ultralytics/8.2.66 available 😃 Update with 'pip install -U ultralytics'
Ultra…
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(yolov8) D:\code\Yolov7-tracker-2>python tracker/track_demo.py --obj ../123.mp4 --detector yolov8 --tracker deepsort --kalman_format byte --detector_model_path ../yolov8n.pt --save_images
2024-10-27 …
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Насколько точно выставляет маску на животное?
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no download link for the yolov8n_layout_report model
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I used the yolov8n model and it took 30 minutes per epoch. However, yolov10n takes 90 minutes per epoch. Why is the difference so big?