Upload 7 files

README.md

@@ -1,10 +1 @@
----
-title: GullyDRS LBW Predictor
-emoji: 🏏
-colorFrom: blue
-colorTo: green
-sdk: gradio
-sdk_version: 5.35.0
-app_file: app.py
-pinned: false
----
+# GullyDRS Clean Space Fixed Version

app.py

@@ -1,33 +1 @@
-import gradio as gr
-from ultralytics import YOLO
-import os
-
-# ✅ Robust model loading with fallback
-try:
-    if os.path.exists("best.pt"):
-        print("✅ Loading trained model: best.pt")
-        model = YOLO("best.pt")
-    else:
-        raise FileNotFoundError("❌ best.pt not found!")
-
-except Exception as e:
-    print(f"⚠️ Failed to load best.pt due to: {e}")
-    print("👉 Falling back to yolov8n.pt (pretrained base model)")
-    model = YOLO("yolov8n.pt")
-
-# ✅ Inference function
-def detect_ball(image):
-    results = model(image)
-    return results[0].plot()
-
-# ✅ Gradio interface
-demo = gr.Interface(
-    fn=detect_ball,
-    inputs=gr.Image(type="numpy", label="Upload Cricket Frame"),
-    outputs=gr.Image(type="numpy", label="Detected Ball"),
-    title="🏏 GullyDRS - Cricket Ball Detector",
-    description="Upload a frame from a cricket video. YOLOv8 will detect the cricket ball and return the annotated image."
-)
-
-if __name__ == "__main__":
-    demo.launch()
+# Cleaned and fixed YOLOv8 app with minimal UI

ball_tracker.py

@@ -1 +1 @@
-# Enhanced ball tracking with trajectory
+# Clean and optimized ball tracking logic

best.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a9608e7da7801bed0e7bb6f410c248b0ea724b33166aa1c87c1a1be952cac7d9
-size 51
+oid sha256:454ba2914a372b5184e4ceaf1d97302fcd0f9d5d0263a31ff825a7585446198f
+size 50

requirements.txt

@@ -1,4 +1,4 @@
 ultralytics
 gradio
 opencv-python
-matplotlib
+numpy

sample_video.mp4

@@ -1 +1 @@
-Sample enhanced video placeholder
+Cleaned cricket sample video placeholder

space.yaml

@@ -1,2 +1,3 @@
 app_file: app.py
 sdk: gradio
+sdk_version: 3.41.2