Remove OpenCV dependency entirely, replace with PIL for image resizing

Dockerfile

@@ -11,9 +11,6 @@ ENV PYTHONPATH="/app"
 ENV PYTHONDONTWRITEBYTECODE=1
 ENV PYTHONUNBUFFERED=1
 ENV MPLCONFIGDIR=/app/matplotlib_cache
-ENV QT_QPA_PLATFORM=offscreen
-ENV OPENCV_IO_ENABLE_JASPER=0
-ENV OPENCV_IO_ENABLE_OPENEXR=0
 
 # Install minimal system dependencies for headless OpenCV
 RUN apt-get update && apt-get install -y \

app.py

@@ -26,7 +26,6 @@ import matplotlib
 matplotlib.use('Agg')
 import matplotlib.pyplot as plt
 
-import cv2
 import base64
 from datetime import datetime
 import time

requirements.txt

@@ -11,7 +11,6 @@ uvicorn[standard]
 python-multipart
 # Image processing
 Pillow
-opencv-python-headless==4.8.1.78
 # Grad-CAM visualization
 grad-cam
 

src/explain.py

@@ -134,7 +134,7 @@ class CropDiseaseExplainer:
         # Generate Grad-CAM
         try:
             # Resize original image for overlay
-            original_resized = cv2.resize(np.array(original_image), (224, 224))
+            original_resized = np.array(original_image.resize((224, 224)))
             original_resized = original_resized / 255.0
             
             print(f"Input tensor shape: {input_tensor.shape}")