ファインチューニング済みモデルを使用する

ビデオのフレームでファインチューニング済みモデルを実行します。

You can use models you have trained or uploaded to Roboflow with the video inference API.

Use a Fine-Tuned Model with the Video Inference API

First, install the Roboflow Python package:

pip install roboflow

Next, create a new Python file and add the following code:

from roboflow import Roboflow

rf = Roboflow(api_key="API_KEY")
project = rf.workspace().project("PROJECT_NAME")
model = project.version(MODEL_ID).model

job_id, signed_url, expire_time = model.predict_video(
    "football-video.mp4",
    fps=5,
    prediction_type="batch-video",
)

results = model.poll_until_video_results(job_id)

print(results)

Above, replace:

• API_KEY: with your Roboflow API key

• PROJECT_NAME: with your Roboflow project ID.

• MODEL_ID: with your Roboflow model ID.

Important note: Currently Roboflow's video inference only supports models trained within Roboflow after June 30th, 2023. We are working toward including older models.

Learn how to retrieve your API key.

Learn how to retrieve a model ID.