Upload 5 files

app.py

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+# Description: This is the main file to run the Gradio interface for the object detection model.
+from ultralytics import YOLO
+from PIL import Image
+import gradio as gr
+from huggingface_hub import snapshot_download
+import os
+
+model_path = "best_int8_openvino_model"
+
+
+# Load the model    
+def load_model(repo_id):
+    download_dir = snapshot_download(repo_id) # download the model from the Hugging Face Hub
+    print(download_dir)
+    path  = os.path.join(download_dir, "best_int8_openvino_model") # path to the model
+    print(path)
+    detection_model = YOLO(path, task='classify') # load the model
+    return detection_model
+
+# Predict the image
+def predict(pilimg):
+    source = pilimg
+    # x = np.asarray(pilimg)
+    # print(x.shape)
+    result = detection_model.predict(source, conf=0.5) # confidence threshold, intersection over union threshold
+    
+    #print("Result: ", result)
+    if not result or len(result[0].boxes) == 0: # if no object detected
+        gr.Warning("Image not recognized for classfication!")
+    else:
+        img_bgr = result[0].plot() # plot the image
+        out_pilimg = Image.fromarray(img_bgr[..., ::-1])  # RGB-order PIL image
+    
+        return out_pilimg
+
+REPO_ID = "best_int8_openvino_model"  # The repo ID of the model
+
+detection_model = load_model(model_path)
+
+title = "Classify whether the image is Defective or Good"
+interface = gr.Interface(
+                fn=predict,
+                inputs=gr.Image(type="pil", label="Input Image"),
+                outputs=gr.Image(type="pil", label="Classified Imamge"),
+                title=title,
+             )
+
+# Launch the interface
+interface.launch(share=True)

best_int8_openvino_model/best.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ce4c0c2066e9d667e75619de15e56c37adc58d74ea82896384ce4ec4203378cf
+size 5116820

best_int8_openvino_model/metadata.yaml

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+description: Ultralytics YOLOv8s-cls model trained on datasets
+author: Ultralytics
+date: '2025-01-22T14:57:03.572451'
+version: 8.3.62
+license: AGPL-3.0 License (https://ultralytics.com/license)
+docs: https://docs.ultralytics.com
+stride: 1
+task: classify
+batch: 1
+imgsz:
+- 224
+- 224
+names:
+  0: Defective
+  1: Good
+args:
+  batch: 1
+  half: false
+  int8: true
+  dynamic: false

requirements.txt

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+ultralytics
+gradio
+huggingface_hub
+pillow
+ffmpeg-python