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README.md

@@ -1,13 +1,14 @@
 ---
-title: 1995149W
+title: balloon-od
 emoji: 🐢
-colorFrom: gray
-colorTo: pink
+colorFrom: indigo
+colorTo: red
+python_version: 3.8
 sdk: gradio
-sdk_version: 5.7.0
+sdk_version: 4.0.2
 app_file: app.py
 pinned: false
-short_description: Kalaivani
+license: apache-2.0
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,37 +1,36 @@
-from ultralytics import YOLO
-from PIL import Image
-import gradio as gr
-from huggingface_hub import snapshot_download
-import os
-
-model_path = "/Users/markk/Downloads/best_int8_openvino_model"
-
-def load_model(repo_id):
-    download_dir = snapshot_download(repo_id)
-    print(download_dir)
-    path  = os.path.join(download_dir, "best_int8_openvino_model")
-    print(path)
-    detection_model = YOLO(path, task='detect')
-    return detection_model
-
-
-def predict(pilimg):
-
-    source = pilimg
-    # x = np.asarray(pilimg)
-    # print(x.shape)
-    result = detection_model.predict(source, conf=0.5, iou=0.6)
-    img_bgr = result[0].plot()
-    out_pilimg = Image.fromarray(img_bgr[..., ::-1])  # RGB-order PIL image
-    
-    return out_pilimg
-
-
-REPO_ID = "ramkalaivani/1995149W"
-detection_model = load_model(REPO_ID)
-
-gr.Interface(fn=predict,
-             inputs=gr.Image(type="pil"),
-             outputs=gr.Image(type="pil")
-             ).launch(share=True)
-
+from ultralytics import YOLO
+from PIL import Image
+import gradio as gr
+from huggingface_hub import snapshot_download
+import os
+
+model_path = "/Users/markk/Downloads/best_int8_openvino_model"
+
+def load_model(repo_id):
+    download_dir = snapshot_download(repo_id)
+    print(download_dir)
+    path  = os.path.join(download_dir, "best_int8_openvino_model")
+    print(path)
+    detection_model = YOLO(path, task='detect')
+    return detection_model
+
+
+def predict(pilimg):
+
+    source = pilimg
+    # x = np.asarray(pilimg)
+    # print(x.shape)
+    result = detection_model.predict(source, conf=0.5, iou=0.6)
+    img_bgr = result[0].plot()
+    out_pilimg = Image.fromarray(img_bgr[..., ::-1])  # RGB-order PIL image
+    
+    return out_pilimg
+
+
+REPO_ID = "ramkalaivani/1995149W"
+detection_model = load_model(REPO_ID)
+
+gr.Interface(fn=predict,
+             inputs=gr.Image(type="pil"),
+             outputs=gr.Image(type="pil")
+             ).launch(share=True)

gitattributes

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+*.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
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requirements.txt

@@ -1,2 +1,2 @@
-ultralytics
-huggingface_hub
+ultralytics
+huggingface_hub