keremberke commited on
Commit
e1fd295
1 Parent(s): 78f2f16

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README.md CHANGED
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  ---
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- title: Nfl Object Detection
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- emoji: 😻
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- colorFrom: yellow
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- colorTo: pink
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  sdk: gradio
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  sdk_version: 3.15.0
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  app_file: app.py
 
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  ---
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+ title: NFL Object Detection
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+ emoji: 🎮
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+ colorFrom: red
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+ colorTo: gray
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  sdk: gradio
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  sdk_version: 3.15.0
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  app_file: app.py
app.py ADDED
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+
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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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+
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+ app_title = "NFL Object Detection"
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+ models_ids = ['keremberke/yolov5n-nfl', 'keremberke/yolov5s-nfl', 'keremberke/yolov5m-nfl']
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+ article = f"<p style='text-align: center'> <a href='https://huggingface.co/{models_ids[-1]}'>huggingface.co/{models_ids[-1]}</a> | <a href='https://huggingface.co/keremberke/nfl-object-detection'>huggingface.co/keremberke/nfl-object-detection</a> | <a href='https://github.com/keremberke/awesome-yolov5-models'>awesome-yolov5-models</a> </p>"
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+
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+ current_model_id = models_ids[-1]
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+ model = yolov5.load(current_model_id)
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+
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+ examples = [['test_images/57638_001089_Endzone_frame262_jpg.rf.4a34e04af4f7b46c8dd9454e34740317.jpg', 0.25, 'keremberke/yolov5m-nfl'], ['test_images/57660_001234_Endzone_frame0845_jpg.rf.745d52b49774ae36d821d752435c8481.jpg', 0.25, 'keremberke/yolov5m-nfl'], ['test_images/57848_002061_Sideline_frame0529_jpg.rf.3747d55691fd4bd0ca5f26e713531f6e.jpg', 0.25, 'keremberke/yolov5m-nfl'], ['test_images/57873_003005_Endzone_frame356_jpg.rf.5f45decabc82c2f9c102bfe4200ece25.jpg', 0.25, 'keremberke/yolov5m-nfl'], ['test_images/57928_002004_Sideline_frame0820_jpg.rf.31445da39fd67e4455b8107cbe7918f5.jpg', 0.25, 'keremberke/yolov5m-nfl'], ['test_images/58037_001432_Sideline_frame386_jpg.rf.0e72f6bd6a685a8149467eeb50184c56.jpg', 0.25, 'keremberke/yolov5m-nfl']]
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+
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+
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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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+
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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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+
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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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+
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+
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+ gr.Interface(
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+ title=app_title,
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+ description="Created by 'keremberke'",
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+ article=article,
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+ fn=predict,
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+ inputs=[
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+ gr.Image(type="pil"),
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+ gr.Slider(maximum=1, step=0.01, value=0.25),
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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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+ examples=examples,
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+ cache_examples=True if examples else False,
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+ ).launch(enable_queue=True)
requirements.txt ADDED
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+
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+ yolov5==7.0.5
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+ gradio==3.15.0
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+ torch
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+ huggingface-hub
test_images/57638_001089_Endzone_frame262_jpg.rf.4a34e04af4f7b46c8dd9454e34740317.jpg ADDED
test_images/57660_001234_Endzone_frame0845_jpg.rf.745d52b49774ae36d821d752435c8481.jpg ADDED
test_images/57848_002061_Sideline_frame0529_jpg.rf.3747d55691fd4bd0ca5f26e713531f6e.jpg ADDED
test_images/57873_003005_Endzone_frame356_jpg.rf.5f45decabc82c2f9c102bfe4200ece25.jpg ADDED
test_images/57928_002004_Sideline_frame0820_jpg.rf.31445da39fd67e4455b8107cbe7918f5.jpg ADDED
test_images/58037_001432_Sideline_frame386_jpg.rf.0e72f6bd6a685a8149467eeb50184c56.jpg ADDED