[](https://discord.gg/qUtxnK2NMf)
# Odin
Super Fast and super cheap object detection at massive scale in less than 10 lines of code!
# Appreciation
* Lucidrains
* Agorians
# Install
`pip install vodin`
# Usage
Here are three examples demonstrating the usage of the `Odin` class from your provided code:
**Example 1: Basic Usage**
```python
# Import the necessary modules and classes
from odin import Odin
# Initialize the Odin object with paths and thresholds
odin = Odin(
source_weights_path="yolo.weights",
source_video_path="input_video.mp4",
target_video_path="output_video.mp4",
confidence_threshold=0.3,
iou_threshold=0.7
)
# Run the object to process the video
odin.run()
```
**Example 2: Custom Parameters**
```python
# Import the necessary modules and classes
from odin import Odin
# Initialize the Odin object with custom parameters
odin = Odin(
source_weights_path="custom_yolo.weights",
source_video_path="input_video.mp4",
target_video_path="output_video.mp4",
confidence_threshold=0.5,
iou_threshold=0.6
)
# Run the object to process the video
odin.run()
```
**Example 3: Advanced Usage**
```python
# Import the necessary modules and classes
from odin import Odin
# Initialize the Odin object with paths and thresholds
odin = Odin(
source_weights_path="yolo.weights",
source_video_path="input_video.mp4",
target_video_path="output_video.mp4",
confidence_threshold=0.3,
iou_threshold=0.7
)
# Customize further configurations if needed
odin.tracker.set_max_distance(50)
odin.box_annotator.set_box_color((0, 255, 0))
odin.model.set_device("cuda")
# Run the object to process the video
odin.run()
```
# Architecture
* [Odin utilizes YoloV7, weights can be downloaded here](https://drive.google.com/file/d/1yEYFq1jCIpklofMMhuqQKwyTfvj1hLQ1/view)
# License
MIT
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"description": "[](https://discord.gg/qUtxnK2NMf)\n\n# Odin\nSuper Fast and super cheap object detection at massive scale in less than 10 lines of code!\n\n# Appreciation\n* Lucidrains\n* Agorians\n\n\n# Install\n`pip install vodin`\n\n# Usage\n\nHere are three examples demonstrating the usage of the `Odin` class from your provided code:\n\n**Example 1: Basic Usage**\n\n```python\n# Import the necessary modules and classes\nfrom odin import Odin\n\n# Initialize the Odin object with paths and thresholds\nodin = Odin(\n source_weights_path=\"yolo.weights\",\n source_video_path=\"input_video.mp4\",\n target_video_path=\"output_video.mp4\",\n confidence_threshold=0.3,\n iou_threshold=0.7\n)\n\n# Run the object to process the video\nodin.run()\n```\n\n**Example 2: Custom Parameters**\n\n```python\n# Import the necessary modules and classes\nfrom odin import Odin\n\n# Initialize the Odin object with custom parameters\nodin = Odin(\n source_weights_path=\"custom_yolo.weights\",\n source_video_path=\"input_video.mp4\",\n target_video_path=\"output_video.mp4\",\n confidence_threshold=0.5,\n iou_threshold=0.6\n)\n\n# Run the object to process the video\nodin.run()\n```\n\n**Example 3: Advanced Usage**\n\n```python\n# Import the necessary modules and classes\nfrom odin import Odin\n\n# Initialize the Odin object with paths and thresholds\nodin = Odin(\n source_weights_path=\"yolo.weights\",\n source_video_path=\"input_video.mp4\",\n target_video_path=\"output_video.mp4\",\n confidence_threshold=0.3,\n iou_threshold=0.7\n)\n\n# Customize further configurations if needed\nodin.tracker.set_max_distance(50)\nodin.box_annotator.set_box_color((0, 255, 0))\nodin.model.set_device(\"cuda\")\n\n# Run the object to process the video\nodin.run()\n```\n\n# Architecture\n* [Odin utilizes YoloV7, weights can be downloaded here](https://drive.google.com/file/d/1yEYFq1jCIpklofMMhuqQKwyTfvj1hLQ1/view)\n\n# License\nMIT\n",
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