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Runtime error
Runtime error
| import gradio as gr | |
| import torch | |
| from PIL import Image | |
| # Images | |
| torch.hub.download_url_to_file('https://storage.googleapis.com/kili-datasets-public/plastic-in-river/samples/ckze0btj10ejf0lyy1imtdy7o.jpg', 'bottles1.jpg') | |
| torch.hub.download_url_to_file('https://storage.googleapis.com/kili-datasets-public/plastic-in-river/samples/ckze0btj10ejd0lyyfzm85k9u.jpg', 'bottles2.jpg') | |
| # Model | |
| model = torch.hub.load('PierreLeveau/yolov5', 'custom', 'https://storage.googleapis.com/kili-datasets-public/plastic-in-river/model/v3/best.pt') # force_reload=True to update | |
| def yolo(im, size=640): | |
| g = (size / max(im.size)) # gain | |
| im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS) # resize | |
| results = model(im) # inference | |
| results.render() # updates results.imgs with boxes and labels | |
| return Image.fromarray(results.imgs[0]) | |
| inputs = gr.inputs.Image(type='pil', label="Original Image") | |
| outputs = gr.outputs.Image(type="pil", label="Output Image") | |
| title = "YOLOv5 - Plastic in river detection" | |
| description = "This space demontrates a YOLOv5 model fine-tuned on a dataset of annotated photos of plastic waste in rivers. Upload an image or click an example image to use." | |
| article = "<p style='text-align: center'>YOLOv5 is a family of compound-scaled object detection models trained on the COCO dataset. We performed fine-tuning of models trained by Ultralytics with the help of their awesome <a href='https://github.com/ultralytics/yolov5'>code repository</a>. The data comes from a community challenge organized by [Kili](https://kili-technology.com/blog/kili-s-community-challenge-plastic-in-river-dataset), and the demo site is heavily inspired from the original [YoloV5 space](https://huggingface.co/spaces/akhaliq/YOLOv5). We will update the model during the challenge." | |
| examples = [['bottles1.jpg'], ['bottles2.jpg']] | |
| gr.Interface(yolo, inputs, outputs, title=title, description=description, article=article, examples=examples, theme="huggingface").launch( | |
| debug=True) | |