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groundtruth_creator.py
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groundtruth_creator.py
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import os
import json
from PIL import Image
def process_txt_files(folder_path_txt, folder_path_img):
data = {'imlist': [], 'qimlist': [], 'gnd': []}
query_info = {}
# Iterate through each file in the directory
for img in sorted(os.listdir(folder_path_img)):
# Check if the file ends with .jpg or .png
# Leave extentions to handle multiple data types
if img.endswith(".jpg") or img.endswith(".png"):
# Add the file to the list
data['imlist'].append(img)#[:-4])
# Iterate over all text files in the directory
for filename in sorted(os.listdir(folder_path_txt)):
if filename.endswith('.txt'):
# Determine the category based on the filename
parts = filename.split('_')
query_name = '_'.join(parts[:-1]) # Extract query name
category = parts[-1][:-4]
# Read the content of the text file
with open(os.path.join(folder_path_txt, filename), 'r') as file:
lines = file.readlines()
# Process each line in the text file
for line in lines:
parts = line.split()
if query_name not in query_info:
query_info[query_name] = {'query': None, 'bbx': None,
'ok': [], 'good': [], 'junk': []}
# Check if the line indicates a query
if category == 'query':
query_info[query_name][category] = parts[0][5:] + '.jpg'
#w, h = Image.open(folder_path_img + query_info[query_name][category]).size
#query_info[query_name]['bbx'] = [0, 0, w, h]
query_info[query_name]['bbx'] = list(map(float, parts[1:]))
data['qimlist'].append(parts[0][5:] + '.jpg')
# Populate data dictionary based on category
if category in ['ok', 'good', 'junk']:
query_info[query_name][category].append(parts[0] + '.jpg')
# Populate 'gnd' based on query info
for query_name, info in query_info.items():
data['gnd'].append(info)
return data
# Specify the folder path containing the text files
folder_path_txt = 'revisitop/roxford5k/groundtruth/'
folder_path_img = 'revisitop/roxford5k/'
# Process the text files and store the result in 'result'
result = process_txt_files(folder_path_txt, folder_path_img)
# Save the result as json
with open('./revisitop/roxford5k/gnd_roxford5k.json', 'w') as json_file:
json.dump(result, json_file, indent=4)