311 lines
11 KiB
Python
311 lines
11 KiB
Python
import sys
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import json
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import threading
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import queue
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import subprocess
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import tkinter as tk
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from pathlib import Path
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from PIL import Image, ImageDraw, ImageFont, ImageTk
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# --- Configuration & Globals ---
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padding = 60
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# Queue payload: (pil_image, json_path, metadata)
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# metadata is a dict: {'copie': str, 'part': int, 'schema': dict}
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image_queue = queue.Queue(maxsize=5)
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try:
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font = ImageFont.truetype("DejaVuSans.ttf", size=30)
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except OSError:
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font = ImageFont.load_default()
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# --- Helper Functions (Shared) ---
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def page_number(b, nb_pages):
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column_width = 1000 // nb_pages
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center_x = (b[1] + b[3]) // 2
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return center_x // column_width
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def convert_box2d(b, pn_ori, npn, tot_ori, tot_dest):
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l = b.copy()
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l[1] = (l[1] - (1000 // tot_ori) * (pn_ori-1)) * tot_ori // tot_dest\
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+ (1000 // tot_dest) * (npn - 1)
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l[3] = (l[3] - (1000 // tot_ori) * (pn_ori-1)) * tot_ori // tot_dest\
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+ (1000 // tot_dest) * (npn - 1)
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return l
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def convert_list(l, group_id, json_schema):
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ll = []
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nb_pages = json_schema["columns_per_file"][group_id-1]
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nb_previous_pages = sum([json_schema["columns_per_file"][i] for i in range(group_id-1)])
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nb_tot_pages = sum([e for e in json_schema["columns_per_file"]])
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for e in l:
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ee = e.copy()
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pn = page_number(e["box_2d"], nb_pages)
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npn = pn + nb_previous_pages
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ee["box_2d"] = convert_box2d(ee["box_2d"], pn, npn, nb_pages, nb_tot_pages)
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ee["part"] = group_id
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ee["pn"] = npn
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ll.append(ee)
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return ll
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def prepare_image(image_path: str, bounding_boxes, all_labels, nb_pages):
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im = Image.open(image_path)
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im.load()
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width, height = im.size
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new_im = Image.new(im.mode, (width + padding, height), "white")
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new_im.paste(im, (0, 0))
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draw = ImageDraw.Draw(new_im)
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bounding_boxes.sort(key=lambda b: (page_number(b["box_2d"], nb_pages), b["box_2d"][0]))
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last_label_index = -1
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for bbox in bounding_boxes:
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raw_y_min = int(bbox["box_2d"][0] * height / 1000)
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raw_x_min = int(bbox["box_2d"][1] * width / 1000)
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raw_y_max = int(bbox["box_2d"][2] * height / 1000)
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raw_x_max = int(bbox["box_2d"][3] * width / 1000)
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abs_y_min = max(0, raw_y_min - 10)
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abs_x_min = max(0, raw_x_min - 10)
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abs_y_max = min(height, raw_y_max + 10)
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abs_x_max = min(width, raw_x_max + 10)
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color = "black"
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label = bbox.get("label")
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if label and label in all_labels:
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current_index = all_labels.index(label)
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if current_index < last_label_index:
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color = "red"
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last_label_index = current_index
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draw.rectangle(((abs_x_min, abs_y_min), (abs_x_max, abs_y_max)), outline=color, width=4)
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if label:
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if abs_y_min > 80:
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draw.text((abs_x_min + 8, abs_y_min - 30), label, fill=color, font=font)
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else:
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draw.text((abs_x_min + 8, abs_y_max + 6), label, fill=color, font=font)
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return new_im
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# --- Processing Logic (Worker Thread) ---
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def worker_thread(base_dir, files_to_process, all_labels):
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"""
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Iterates through files, prepares VISUALS only, and puts metadata in queue.
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Does NOT write final JSON files anymore.
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"""
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for img_path in files_to_process:
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json_path = base_dir / f"{img_path.stem}.json"
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copie_part = int(img_path.stem[-2:])
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copie = img_path.stem[:-3]
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json_schema_path = base_dir / 'Cutleft' / f"{copie}_schema.json"
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try:
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with open(json_schema_path, 'r') as f:
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json_schema = json.load(f)
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except:
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print("No json_schema : ", json_schema_path)
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continue
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nb_pages = json_schema["columns_per_file"][copie_part-1]
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if json_path.exists():
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try:
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# Read strictly for visualization purposes
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with open(json_path, 'r') as f:
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json_result = json.load(f)
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bb_list = json_result.get("list", [])
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print(f"Buffering {img_path.name}...")
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pil_image = prepare_image(str(img_path), bb_list, all_labels, nb_pages)
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# Package metadata needed for final calculation later
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metadata = {
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"copie": copie,
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"part": copie_part,
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"schema": json_schema,
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"name": json_result.get("name", "")
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}
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image_queue.put((pil_image, json_path, metadata))
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except Exception as e:
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print(f"Error processing {img_path.name}: {e}")
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# Sentinel to indicate finished
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image_queue.put((None, None, None))
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# --- GUI Logic (Main Thread) ---
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class ImageViewer:
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def __init__(self, root, base_dir):
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self.root = root
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self.base_dir = base_dir
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self.root.title("Bounding Box Viewer")
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self.label = tk.Label(root, text="Waiting for images...")
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self.label.pack(expand=True, fill="both")
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# Display State
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self.current_image = None
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self.current_json_path = None
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self.current_meta = None # Stores schema/copie info
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self.is_viewing = False
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self.scale_factor = 1.0
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self.orig_size = (1, 1)
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# Data Aggregation State
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self.active_copie_name = None
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self.accumulated_results = None # Dict with "name" and "list"
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# Bindings
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self.root.bind('<Return>', self.on_enter)
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self.root.bind('e', self.on_edit)
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self.root.bind('o', self.on_open_pdf)
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self.root.bind('<Escape>', lambda e: self.root.quit())
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self.label.bind('<Button-1>', self.on_click)
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self.poll_queue()
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def poll_queue(self):
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if not self.is_viewing:
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try:
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pil_image, json_path, metadata = image_queue.get_nowait()
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# Handle End of Stream
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if pil_image is None:
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self.save_current_batch() # Save any remaining data
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print("All images processed.")
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self.root.quit()
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return
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# Check if we switched to a new "Copie" group
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if self.active_copie_name != metadata["copie"]:
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self.save_current_batch() # Write previous group to disk
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# Start new batch
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self.active_copie_name = metadata["copie"]
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self.accumulated_results = {"name": metadata["name"], "list": []}
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self.display_image(pil_image, json_path, metadata)
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except queue.Empty:
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pass
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self.root.after(100, self.poll_queue)
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def save_current_batch(self):
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"""Writes the accumulated data to the main JSON file."""
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if self.active_copie_name and self.accumulated_results:
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main_json_path = self.base_dir / f"{self.active_copie_name}.json"
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print(f"Writing aggregated result to {main_json_path}")
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with open(main_json_path, 'w') as f:
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json.dump(self.accumulated_results, f)
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self.accumulated_results = None
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def display_image(self, pil_image, json_path, metadata):
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self.orig_size = pil_image.size
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self.scale_factor = 1.0
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screen_h = self.root.winfo_screenheight() - 100
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if pil_image.height > screen_h:
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self.scale_factor = screen_h / pil_image.height
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pil_image = pil_image.resize((int(pil_image.width * self.scale_factor),
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int(pil_image.height * self.scale_factor)))
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self.tk_image = ImageTk.PhotoImage(pil_image)
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self.label.config(image=self.tk_image, text=f"Processing: {json_path.name}")
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self.current_json_path = json_path
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self.current_meta = metadata
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self.is_viewing = True
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self.root.lift()
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def on_enter(self, event):
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if self.is_viewing:
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print(f"Committing data for {self.current_json_path.name}...")
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# --- CRITICAL CHANGE: Re-read JSON here to capture user edits ---
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try:
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with open(self.current_json_path, 'r') as f:
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current_data = json.load(f)
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# Perform the conversion now, post-edit
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converted_items = convert_list(
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current_data["list"],
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self.current_meta["part"],
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self.current_meta["schema"]
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)
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# Add to accumulator
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if self.accumulated_results:
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self.accumulated_results["list"].extend(converted_items)
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# Update name just in case (though usually consistent per group)
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self.accumulated_results["name"] = current_data.get("name", self.accumulated_results["name"])
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except Exception as e:
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print(f"Error re-reading/saving {self.current_json_path}: {e}")
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# Advance UI
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self.is_viewing = False
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self.label.config(image="", text="Loading next...")
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def on_open_pdf(self, event):
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if self.is_viewing and self.current_json_path:
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pdf_path = self.current_json_path.with_suffix(".pdf")
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print(f"Opening {pdf_path}")
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subprocess.Popen(['xdg-open', str(pdf_path)])
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def on_edit(self, event):
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if self.is_viewing and self.current_json_path:
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print(f"Opening {self.current_json_path}")
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subprocess.Popen(['xdg-open', str(self.current_json_path)])
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def on_click(self, event):
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if not self.is_viewing: return
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x = int(event.x / self.scale_factor)
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y = int(event.y / self.scale_factor)
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w, h = self.orig_size
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box = [
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int(max(0, y - 5) / h * 1000),
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int(max(0, x - 5) / (w- padding) * 1000),
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int(min(h, y + 5) / h * 1000),
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int(min(w, x + 5) / (w - padding) * 1000),
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]
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box_str = "{ \"box_2d\": " + str(box) + ", \"label\": \"\" },"
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print(f"Copied box at ({x},{y}): {box_str}")
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self.root.clipboard_clear()
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self.root.clipboard_append(box_str)
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if __name__ == "__main__":
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if len(sys.argv) < 2:
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print("Usage: python plotting.py <directory_or_file>")
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sys.exit(1)
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input_path = Path(sys.argv[1])
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files_to_process = []
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if input_path.is_file():
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base_dir = input_path.parent
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stem = input_path.stem
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img_path = base_dir / "Cutleft" / f"{stem}.jpg"
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if not img_path.exists() and input_path.parent.name == "Cutleft":
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base_dir = input_path.parent.parent
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img_path = input_path
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if not img_path.exists():
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print(f"Error: Could not find image at {img_path}")
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sys.exit(1)
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files_to_process = [img_path]
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else:
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base_dir = input_path
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cutleft_dir = base_dir / "Cutleft"
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if not cutleft_dir.exists():
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print(f"Error: {cutleft_dir} does not exist.")
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sys.exit(1)
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files_to_process = sorted(cutleft_dir.glob("*.jpg"))
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try:
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all_labels = list(filter(None, (base_dir / "labels").read_text().splitlines()))
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except FileNotFoundError:
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all_labels = []
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t = threading.Thread(target=worker_thread, args=(base_dir, files_to_process, all_labels))
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t.daemon = True
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t.start()
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root = tk.Tk()
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app = ImageViewer(root, base_dir)
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root.mainloop()
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