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ModelMeter

ModelMeter

Unrestricted class structure compatibility and focused throughput assessment for your model's performance evaluation

Requirements

Python 3.8+

Installation

pip install model-meter

---> 100%

Example

Create it

  • Create a file main.py with:
from model_meter import ModelMeter
from ultralytics import YOLO

# Load the model
model = YOLO()

# Create the meter
meter = ModelMeter(model)

# Run the meter
throughput, avg_time_per_call = meter.measure(
    params=('./contents/dog.jpg',), 
    method_name="__call__",
)

print(f'Throughput: {throughput} images/second')
print(f'Avg time per call: {avg_time_per_call} seconds')

Run it

Run the script with:

$ python main.py

...

Throughput: 14.794271662158552 images/second
Avg time per call: 0.0675937297107937 seconds

License

This project is licensed under the terms of the MIT license.

Metadata

Release files for model-meter 0.2.1

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Source distribution for model-meter 0.2.1
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Built distribution (wheel)

Table of built distributions (wheels) for model-meter 0.2.1
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model_meter-0.2.1-py3-none-any.whl Python 3 none any Details for model_meter-0.2.1-py3-none-any.whl

Total release size: 6.8 kB

Release files / model_meter-0.2.1.tar.gz

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Security for model-meter 0.2.1

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