Duplicate from kadirnar/yolov6

Co-authored-by: Kadir Nar <[email protected]>

.gitattributes

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README.md

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+---
+title: Yolov6
+emoji: 📈
+colorFrom: gray
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.14.0
+app_file: app.py
+pinned: false
+license: gpl-3.0
+duplicated_from: kadirnar/yolov6
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import torch
+from yolov6 import YOLOV6
+
+# Images
+torch.hub.download_url_to_file('https://raw.githubusercontent.com/kadirnar/dethub/main/data/images/highway.jpg', 'highway.jpg')
+torch.hub.download_url_to_file('https://user-images.githubusercontent.com/34196005/142742872-1fefcc4d-d7e6-4c43-bbb7-6b5982f7e4ba.jpg', 'highway1.jpg')
+    
+
+def yolov6_inference(
+    image: gr.inputs.Image = None,
+    model_path: gr.inputs.Dropdown = None,
+    image_size: gr.inputs.Slider = 640,
+    conf_threshold: gr.inputs.Slider = 0.25,
+    iou_threshold: gr.inputs.Slider = 0.45,
+):
+    """
+    YOLOv6 inference function
+    Args:
+        image: Input image
+        model_path: Path to the model
+        image_size: Image size
+        conf_threshold: Confidence threshold
+        iou_threshold: IOU threshold
+    Returns:
+        Rendered image
+    """
+
+    model = YOLOV6(model_path, device="cpu", hf_model=True)
+    model.conf_thres = conf_threshold
+    model.iou_thresh = iou_threshold
+    model.save_img = True
+    model.font_path = "Arial.ttf"
+    pred = model.predict(source=image, img_size=image_size, yaml="coco.yaml")
+    return pred
+        
+
+inputs = [
+    gr.inputs.Image(type="filepath", label="Input Image"),
+    gr.inputs.Dropdown(
+        label="Model",
+        choices=[
+            "kadirnar/yolov6n-v3.0",
+            "kadirnar/yolov6s-v3.0",
+            "kadirnar/yolov6m-v3.0",
+            "kadirnar/yolov6l-v3.0",
+            "kadirnar/yolov6s6-v3.0",
+            "kadirnar/yolov6m6-v3.0",
+            "kadirnar/yolov6l6-v3.0",
+        ],
+        default="kadirnar/yolov6s-v3.0",
+    ),
+    gr.inputs.Slider(minimum=320, maximum=1280, default=1280, step=32, label="Image Size"),
+    gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.25, step=0.05, label="Confidence Threshold"),
+    gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.45, step=0.05, label="IOU Threshold"),
+]
+
+outputs = gr.outputs.Image(type="filepath", label="Output Image")
+title = "YOLOv6: a single-stage object detection framework dedicated to industrial applications."
+
+examples = [['highway1.jpg', 'kadirnar/yolov6m6-v3.0', 1280, 0.25, 0.45],['highway.jpg', 'kadirnar/yolov6s6-v3.0', 1280, 0.25, 0.45]]
+
+demo_app = gr.Interface(
+    fn=yolov6_inference,
+    inputs=inputs,
+    outputs=outputs,
+    title=title,
+    examples=examples,
+    cache_examples=True,
+    theme='huggingface',
+)
+demo_app.launch(debug=True, enable_queue=True)

coco.yaml

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+# COCO 2017 dataset http://cocodataset.org
+train: ../coco/images/train2017 # 118287 images
+val: ../coco/images/val2017  # 5000 images
+test: ../coco/images/test2017
+anno_path: ../coco/annotations/instances_val2017.json
+# number of classes
+nc: 80
+# whether it is coco dataset, only coco dataset should be set to True.
+is_coco: True
+
+# class names
+names: [ 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light',
+         'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow',
+         'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee',
+         'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard',
+         'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple',
+         'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch',
+         'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone',
+         'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear',
+         'hair drier', 'toothbrush' ]

requirements.txt

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+torch
+yolov6detect==0.2.3