Upload 26 files

.gitattributes

@@ -0,0 +1,19 @@
+bike[[:space:]]video.mp4 filter=lfs diff=lfs merge=lfs -text
+bus.jpg filter=lfs diff=lfs merge=lfs -text
+San[[:space:]]Diego[[:space:]]Airport.jpg filter=lfs diff=lfs merge=lfs -text
+tcganadolu.jpg filter=lfs diff=lfs merge=lfs -text
+Theodore_Roosevelt.png filter=lfs diff=lfs merge=lfs -text
+Tricycle.jpg filter=lfs diff=lfs merge=lfs -text
+yolo_vision.jpg filter=lfs diff=lfs merge=lfs -text
+yolo11l-pose.pt filter=lfs diff=lfs merge=lfs -text
+yolo11m-cls.pt filter=lfs diff=lfs merge=lfs -text
+yolo11m-obb.pt filter=lfs diff=lfs merge=lfs -text
+yolo11m-pose.pt filter=lfs diff=lfs merge=lfs -text
+yolo11m.pt filter=lfs diff=lfs merge=lfs -text
+yolo11n.pt filter=lfs diff=lfs merge=lfs -text
+yolo11s-seg.pt filter=lfs diff=lfs merge=lfs -text
+yolo11s.pt filter=lfs diff=lfs merge=lfs -text
+yolo11x-cls.pt filter=lfs diff=lfs merge=lfs -text
+yolo11x-seg.pt filter=lfs diff=lfs merge=lfs -text
+yolo11x.pt filter=lfs diff=lfs merge=lfs -text
+zidane.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,19 @@
+---
+title: Yolo11
+emoji: 👁
+colorFrom: indigo
+colorTo: purple
+sdk: gradio
+sdk_version: 5.38.0
+app_file: app.py
+pinned: false
+tags:
+- Object Detection
+- Instance Segmentation
+- Pose/Keypoints
+- Oriented Detection
+- Image Classification
+short_description: Detect, segment, classify objects in images and videos
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,112 @@
+import spaces
+import gradio as gr
+from PIL import Image, ImageDraw, ImageFont
+from ultralytics import YOLO
+
+@spaces.GPU
+def yolo_inference(input_type, image, model_id, conf_threshold, iou_threshold, max_detection):
+    """
+    Performs object detection, instance segmentation, pose estimation,
+    oriented object detection, or classification using a YOLOv11 model
+    on an image.
+    """
+    model = YOLO(model_id)
+
+    if input_type == "Image":
+        if image is None:
+            width, height = 640, 480
+            blank_image = Image.new("RGB", (width, height), color="white")
+            draw = ImageDraw.Draw(blank_image)
+            message = "No image provided"
+            font = ImageFont.load_default()
+            bbox = draw.textbbox((0, 0), message, font=font)
+            text_x = (width - (bbox[2] - bbox[0])) / 2
+            text_y = (height - (bbox[3] - bbox[1])) / 2
+            draw.text((text_x, text_y), message, fill="black", font=font)
+            return blank_image
+
+        results = model.predict(
+            source=image,
+            conf=conf_threshold,
+            iou=iou_threshold,
+            imgsz=640,
+            max_det=max_detection,
+            show_labels=True,
+            show_conf=True,
+        )
+
+        for r in results:
+            image_array = r.plot()
+            annotated_image = Image.fromarray(image_array[..., ::-1])
+        return annotated_image
+    else:
+        return None
+
+def yolo_inference_for_examples(image, model_id, conf_threshold, iou_threshold, max_detection):
+    """Wrapper for Gradio examples (image-only)."""
+    return yolo_inference(
+        input_type="Image",
+        image=image,
+        model_id=model_id,
+        conf_threshold=conf_threshold,
+        iou_threshold=iou_threshold,
+        max_detection=max_detection
+    )
+
+with gr.Blocks() as app:
+    gr.Markdown("# YOLOv11: Image Inference")
+    gr.Markdown("Upload image(s) for object detection, segmentation, pose, OBB, or classification using YOLOv11 models.")
+
+    with gr.Row():
+        with gr.Column():
+            image = gr.Image(type="pil", label="Input Image")
+            input_type = gr.Radio(
+                choices=["Image"],
+                value="Image",
+                label="Input Type",
+            )
+            model_id = gr.Dropdown(
+                label="Model Name",
+                choices=[
+                    'yolo11n.pt', 'yolo11s.pt', 'yolo11m.pt', 'yolo11l.pt', 'yolo11x.pt', 
+                    'yolo11n-seg.pt', 'yolo11s-seg.pt', 'yolo11m-seg.pt', 'yolo11l-seg.pt', 'yolo11x-seg.pt',
+                    'yolo11n-pose.pt', 'yolo11s-pose.pt', 'yolo11m-pose.pt', 'yolo11l-pose.pt', 'yolo11x-pose.pt',
+                    'yolo11n-obb.pt', 'yolo11s-obb.pt', 'yolo11m-obb.pt', 'yolo11l-obb.pt', 'yolo11x-obb.pt',
+                    'yolo11n-cls.pt', 'yolo11s-cls.pt', 'yolo11m-cls.pt', 'yolo11l-cls.pt', 'yolo11x-cls.pt'
+                ],
+                value="yolo11n.pt",
+            )
+            conf_threshold = gr.Slider(minimum=0, maximum=1, value=0.25, label="Confidence Threshold")
+            iou_threshold = gr.Slider(minimum=0, maximum=1, value=0.45, label="IoU Threshold")
+            max_detection = gr.Slider(minimum=1, maximum=300, step=1, value=300, label="Max Detections")
+            infer_button = gr.Button("Run Detection")
+        with gr.Column():
+            output_image = gr.Image(type="pil", label="Output", show_share_button=False)
+
+    # Main inference
+    infer_button.click(
+        fn=yolo_inference,
+        inputs=[input_type, image, model_id, conf_threshold, iou_threshold, max_detection],
+        outputs=[output_image],
+    )
+
+    # Examples
+    gr.Examples(
+        examples=[
+            ["zidane.jpg", "yolo11s.pt", 0.25, 0.45, 300],
+            ["bus.jpg", "yolo11m.pt", 0.25, 0.45, 300],
+            ["yolo_vision.jpg", "yolo11x.pt", 0.25, 0.45, 300],
+            ["Tricycle.jpg", "yolo11x-cls.pt", 0.25, 0.45, 300],
+            ["tcganadolu.jpg", "yolo11m-obb.pt", 0.25, 0.45, 300],
+            ["San Diego Airport.jpg", "yolo11x-seg.pt", 0.25, 0.45, 300],
+            ["Theodore_Roosevelt.png", "yolo11l-pose.pt", 0.25, 0.45, 300],
+            ["bike and car.jpg", "yolo11s.pt", 0.25, 0.45, 300],
+        ],
+        fn=yolo_inference_for_examples,
+        inputs=[image, model_id, conf_threshold, iou_threshold, max_detection],
+        outputs=[output_image],
+        label="Examples",
+    )
+
+if __name__ == '__main__':
+    app.launch(mcp_server=True)

bike video.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f33bec98f2d0c8c3ff1ff9c3a0c49a400b20b1b7fbc0a5967dc0d5672545b5a
+size 5482932

docker.py

@@ -0,0 +1,32 @@
+name: ci
+
+on:
+  push:
+    branches:
+      - "main"
+
+jobs:
+  docker:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+      - name: Log in to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ vars.DOCKER_USER }}
+          password: ${{ secrets.DOCKER_PAT }}
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+        with:
+          driver: cloud
+          endpoint: "sanjay2198/yolo"
+          install: true
+      - name: Build and push
+        uses: docker/build-push-action@v6
+        with:
+          tags: "${{ vars.DOCKER_USER }}/docker-build-cloud-demo:latest"
+          # For pull requests, export results to the build cache.
+          # Otherwise, push to a registry.
+          outputs: ${{ github.event_name == 'pull_request' && 'type=cacheonly' || 'type=registry' }}
+  

gitattributes

@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+Theodore_Roosevelt.png filter=lfs diff=lfs merge=lfs -text

render.yaml

@@ -0,0 +1,12 @@
+# Exported from Render on 2025-08-22T12:11:47Z
+services:
+- type: web
+  name: YOLO11
+  runtime: python
+  repo: https://github.com/Sanjay2198/YOLO11
+  plan: free
+  region: oregon
+  buildCommand: pip install -r requirements.txt
+  startCommand: python app.py
+  autoDeployTrigger: commit
+version: "1"

requirements.txt

@@ -0,0 +1,5 @@
+spaces
+torch
+torchvision
+ultralytics
+Pillow

yolo11l-pose.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61921abe1f2ed930bf28328a16b3162278cdb239a1e8280b6ac827119f13cee0
+size 53164402

yolo11m-cls.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:80583b974e44292d56fc5ba4d26cd0bb04e77edc8bbf4317f7ce678147156dd5
+size 23487128

yolo11m-obb.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:41832a4349c08190335bbc11a8e64726750702eb49cf09abb262bc394a13498c
+size 42415346

yolo11m-pose.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29b17eaf3a3117cbea906090dbedf9159f7c6a49db58ec8b99ed2dfde1cf6eb2
+size 42459307

yolo11m.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5ffc1a674953a08e11a8d21e022781b1b23a19b730afc309290bd9fb5305b95
+size 40684120

yolo11n.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ebbc80d4a7680d14987a577cd21342b65ecfd94632bd9a8da63ae6417644ee1
+size 5613764

yolo11s-seg.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1caa81c0195412efa411b632bcfb8c184939dddb6ae41f6a80c41b211ff257c3
+size 20669228

yolo11s.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85a76fe86dd8afe384648546b56a7a78580c7cb7b404fc595f97969322d502d5
+size 19313732

yolo11x-cls.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b99af0f075efcd88349746fad4ff0a88cd591712b578a887286790544bd449c
+size 59624868

yolo11x-seg.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e53a5f5fd3ee2ae3361c62169c6bb3ed4ae251dd0e57606e230955aa52d919c
+size 125090821

yolo11x.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7bc158aa95c0ebfdd87f70f01653c1131b93e92522dbe15c228bcd742e773a24
+size 114636239