Add crop preprocessing script

preprocess.py

@@ -0,0 +1,37 @@
+import os
+from PIL import Image
+import random
+
+# Define the source and destination directories
+src_dir = Path('dataset4/bboxes')
+dst_dir = Path('dataset4/crops3')
+dst_dir.mkdir(parents=True, exist_ok=True)
+
+# Define the scale
+scale = (0.5, 0.8)
+
+# Loop over all images in the source directory
+for img_file in src_dir.glob('*.jpg'):
+    # Open the image
+    img = Image.open(img_file)
+    width, height = img.size
+
+    # Apply the transform 10 times to get 10 random crops
+    for i in range(3):
+        # Calculate random width and height
+        new_width = random.randint(int(width * scale[0]), int(width * scale[1]))
+        new_height = random.randint(int(height * scale[0]), int(height * scale[1]))
+
+        # Calculate random position for the crop
+        left = random.randint(0, width - new_width)
+        top = random.randint(0, height - new_height)
+
+        # Perform the crop
+        cropped_img = img.crop((left, top, left + new_width, top + new_height))
+
+        # Resize the cropped image to 224x224
+        resized_img = cropped_img.resize((224, 224))
+
+        # Save the resized image with coordinates in the filename
+        resized_img_file = dst_dir / f'{img_file.stem}_crop{i+1}_{left}_{top}_{left+new_width}_{top+new_height}.jpg'
+        resized_img.save(resized_img_file)