really dumb ui for looking at grounding files from kosmos2

scripts/grounding_ui.py

@@ -0,0 +1,98 @@
+import tkinter as tk
+from tkinter import filedialog, Listbox
+from PIL import Image, ImageTk
+import cv2
+import numpy as np
+import json
+import os
+import ast
+
+class ImageBoundingBoxApp:
+    def __init__(self, root, folder_path):
+        self.root = root
+        self.folder_path = folder_path
+        self.images = self.load_images(folder_path)
+        self.setup_ui()
+
+    def load_images(self, folder_path):
+        images = [f for f in os.listdir(folder_path) if f.endswith(('.jpg', '.png', '.webp'))]
+        return images
+
+    def setup_ui(self):
+        self.listbox = Listbox(self.root)
+        self.listbox.pack(side="left", fill="y")
+
+        self.canvas = tk.Canvas(self.root, bg='white')
+        self.canvas.pack(side="right", expand=True, fill="both")
+
+        for image in self.images:
+            self.listbox.insert(tk.END, image)
+
+        self.listbox.bind("<<ListboxSelect>>", self.on_select)
+
+    def on_select(self, event):
+        w = event.widget
+        index = int(w.curselection()[0])
+        image_name = w.get(index)
+        self.display_image_with_bboxes(image_name)
+
+    def display_image_with_bboxes(self, image_name):
+        img_path = os.path.join(self.folder_path, image_name)
+        ent_path = img_path.rsplit('.', 1)[0] + '.ent'
+
+        # Load image
+        image = cv2.imread(img_path)
+        image_h, image_w, _ = image.shape
+        font_scale = 0.5 * (image_h + image_w) / 1000
+        thickness = max(int(0.5 * (image_h + image_w) / 500),1)
+        print(f"Font Scale: {font_scale}, Thickness: {thickness}")
+
+        # Read .ent file
+        if os.path.exists(ent_path):
+            with open(ent_path, 'r') as f:
+                entities = ast.literal_eval(f.read())
+
+            for entity_name, _, bboxes in entities:
+                for (x1_norm, y1_norm, x2_norm, y2_norm) in bboxes:
+                    orig_x1, orig_y1, orig_x2, orig_y2 = int(x1_norm * image_w), int(y1_norm * image_h), int(x2_norm * image_w), int(y2_norm * image_h)
+                    color = (0, 255, 0)  # Green color for bounding box
+                    cv2.rectangle(image, (orig_x1, orig_y1), (orig_x2, orig_y2), color, 2)
+                    cv2.putText(image, entity_name, (orig_x1, orig_y1 + int(30*font_scale)), cv2.FONT_HERSHEY_SIMPLEX, font_scale, color, thickness)
+
+        # Convert to PIL Image to display in Tkinter
+        image_pil = Image.fromarray(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
+
+        # Resize image to fit the canvas size while maintaining aspect ratio
+        canvas_width = self.canvas.winfo_width()
+        canvas_height = self.canvas.winfo_height()
+        img_width, img_height = image_pil.size
+
+        # Calculate the proper scaling factor
+        scale_w = canvas_width / img_width
+        scale_h = canvas_height / img_height
+        scale = min(scale_w, scale_h)
+
+        # Calculate new image size
+        new_width = int(img_width * scale)
+        new_height = int(img_height * scale)
+
+        # Resize the image with new dimensions
+        image_resized = image_pil.resize((new_width, new_height), Image.Resampling.LANCZOS)
+        image_tk = ImageTk.PhotoImage(image_resized)
+
+        # Clear the canvas and display the resized image
+        self.canvas.delete("all")  # Clear previous image/text
+        self.canvas.create_image((canvas_width - new_width) // 2, (canvas_height - new_height) // 2, anchor="nw", image=image_tk)
+        self.canvas.image = image_tk  # Keep a reference!
+
+def main():
+    root = tk.Tk()
+    root.title("Image Bounding Box Viewer")
+
+    folder_path = filedialog.askdirectory(title="Select Folder with Images")
+    app = ImageBoundingBoxApp(root, folder_path)
+
+    root.mainloop()
+
+if __name__ == "__main__":
+    main()