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fb9bd11
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Parent(s):
91c3034
Update app.py
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app.py
CHANGED
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import json
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import gradio as gr
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import yolov5
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from PIL import Image
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from huggingface_hub import hf_hub_download
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app_title = "Object Detection"
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models_ids = ['StarAtNyte1/yolov7_custom']
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current_model_id = models_ids[-1]
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model = yolov5.load(current_model_id)
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def predict(image, threshold=0.25, model_id=None):
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# update model if required
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global current_model_id
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global model
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if model_id != current_model_id:
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model = yolov5.load(model_id)
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current_model_id = model_id
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# get model input size
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config_path = hf_hub_download(repo_id=model_id, filename="config.json")
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with open(config_path, "r") as f:
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config = json.load(f)
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input_size = config["input_size"]
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# perform inference
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model.conf = threshold
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results = model(image, size=input_size)
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numpy_image = results.render()[0]
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output_image = Image.fromarray(numpy_image)
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return output_image
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gr.Interface(
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title=app_title,
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description="Created by ",
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fn=predict,
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inputs=[
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gr.Image(type="pil"),
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gr.Dropdown(models_ids, value=models_ids[-1]),
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],
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outputs=gr.Image(type="pil"),
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cache_examples=True if examples else False,
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).launch(enable_queue=True)
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