xychosk.github.io
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.1%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: xychosk
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 83.7 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
CLI
YOLOv8 may be used directly in the Command Line Interface (CLI) with a yolo command:
bash
yolo predict model=yolov8n.pt source='https://ultralytics.com/images/bus.jpg'
yolo can be used for a variety of tasks and modes and accepts additional arguments, i.e. imgsz=640. See the YOLOv8 CLI Docs for examples.
Python
YOLOv8 may also be used directly in a Python environment, and accepts the same arguments as in the CLI example above:
```python from ultralytics import YOLO
Load a model
model = YOLO("yolov8n.yaml") # build a new model from scratch model = YOLO("yolov8n.pt") # load a pretrained model (recommended for training)
Use the model
model.train(data="coco8.yaml", epochs=3) # train the model metrics = model.val() # evaluate model performance on the validation set results = model("https://ultralytics.com/images/bus.jpg") # predict on an image path = model.export(format="onnx") # export the model to ONNX format ```
dataset
DIOR
It is a large-scale, public remote sensing image object detection dataset. The dataset contains 23,463 images and 192,472 instances, covering 20 different target categories.
[]https://www.bilibili.com/video/BV1FCV7eyE98/?vd_source=e75d1378960dcdbb7d8d1f7a57b39f12 https://github.com/xychosk/xychosk.github.io/blob/main/YOLOv8.gif
See YOLOv8 Python Docs for more examples.
Owner
- Login: xychosk
- Kind: user
- Repositories: 1
- Profile: https://github.com/xychosk
GitHub Events
Total
Last Year
Dependencies
- matplotlib >=3.3.0
- opencv-python >=4.6.0
- pandas >=1.1.4
- pillow >=7.1.2
- psutil *
- py-cpuinfo *
- pyyaml >=5.3.1
- requests >=2.23.0
- scipy >=1.4.1
- seaborn >=0.11.0
- thop >=0.1.1
- torch >=1.8.0
- torchvision >=0.9.0
- tqdm >=4.64.0