2024-Spring-Digital_Image_Processing_Final_Project/generate_pickle.py at main · LeoHsuProgrammingLab/2024-Spring-Digital_Image_Processing_Final_Project · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
import os
import subprocess
import shutil
import argparse

def process_dataset(dataset_images_dir, dataset_descriptors_dir, dataset_pickle_path):
    # Remove existing directories and files
    if os.path.exists(dataset_descriptors_dir):
        shutil.rmtree(dataset_descriptors_dir)
    if os.path.exists(dataset_pickle_path):
        os.remove(dataset_pickle_path)

    # Generate descriptors for the dataset
    for file in os.listdir(dataset_images_dir):
        if file.endswith(".jpg"):
            file_path = os.path.join(dataset_images_dir, file)
            subprocess.run(["./hesaff", file_path, "20"])

    # Move .hesaff.sift files to the descriptors directory
    os.makedirs(dataset_descriptors_dir, exist_ok=True)
    for file in os.listdir(dataset_images_dir):
        if file.endswith(".hesaff.sift"):
            src_path = os.path.join(dataset_images_dir, file)
            dst_path = os.path.join(dataset_descriptors_dir, file)
            shutil.move(src_path, dst_path)

    # Generate the pickle for the dataset
    subprocess.run(["python3", "get_dataset_all_image.py",
                    "--descriptors_dir_path", dataset_descriptors_dir,
                    "--images_dir_path", dataset_images_dir,
                    "--save_df_path", dataset_pickle_path])

def rename_dir(dataset_images_dir):
    for dir in os.listdir(dataset_images_dir):
        if os.path.isdir(os.path.join(dataset_images_dir, dir)):
            new_dirname = dir.replace(" ", "_")
            os.rename(os.path.join(dataset_images_dir, dir), os.path.join(dataset_images_dir, new_dirname))

def rename_files(dataset_images_dir):
    for dir in os.listdir(dataset_images_dir):
        if os.path.isdir(os.path.join(dataset_images_dir, dir)):
            for file in os.listdir(os.path.join(dataset_images_dir, dir)):
                new_filename = file.replace(" ", "_")
                os.rename(os.path.join(dataset_images_dir, dir, file), os.path.join(dataset_images_dir, dir, new_filename))
        else:
            new_filename = dir.replace(" ", "_")
            os.rename(os.path.join(dataset_images_dir, dir), os.path.join(dataset_images_dir, new_filename))

def process_dataset_with_dir(dataset_images_dir, dataset_descriptors_dir, dataset_pickle_path, max_num_each_dir=7):
    # Remove existing directories and files
    if os.path.exists(dataset_descriptors_dir):
        shutil.rmtree(dataset_descriptors_dir)
    if os.path.exists(dataset_pickle_path):
        os.remove(dataset_pickle_path)

    # Generate descriptors for the dataset
    for dir in os.listdir(dataset_images_dir):
        if os.path.isdir(os.path.join(dataset_images_dir, dir)):
            count = 0
            for file in os.listdir(os.path.join(dataset_images_dir, dir)):
                if file.endswith(".jpg"):
                    file_path = os.path.join(dataset_images_dir, dir, file)
                    subprocess.run(["./hesaff", file_path, "20"])
                    count += 1
                    if count == max_num_each_dir:
                        break

    # Move .hesaff.sift files to the descriptors directory
    os.makedirs(dataset_descriptors_dir, exist_ok=True)
    for dir in os.listdir(dataset_images_dir):
        if os.path.isdir(os.path.join(dataset_images_dir, dir)):
            os.makedirs(os.path.join(dataset_descriptors_dir, dir), exist_ok=True)
            for file in os.listdir(os.path.join(dataset_images_dir, dir)):
                if file.endswith(".hesaff.sift"):
                    src_path = os.path.join(dataset_images_dir, dir, file)
                    dst_path = os.path.join(dataset_descriptors_dir, dir, file)
                    shutil.move(src_path, dst_path)

    # Generate the pickle for the dataset
    subprocess.run(["python3", "get_dataset_all_image.py",
                    "--descriptors_dir_path", dataset_descriptors_dir,
                    "--images_dir_path", dataset_images_dir,
                    "--save_df_path", dataset_pickle_path])


### Function to Process the Target Image
def process_target(target_image_dir, target_descriptor_save_dir, target_pickle_path):
    # Remove existing directories and files
    if os.path.exists(target_pickle_path):
        os.remove(target_pickle_path)

    # Generate descriptors for the target image
    for file in os.listdir(target_image_dir):
        if file.endswith(".jpg"):
            target_image_path = os.path.join(target_image_dir, file)
            subprocess.run(["./hesaff", target_image_path, "10"])

    os.makedirs(target_descriptor_save_dir, exist_ok=True)
    for file in os.listdir(target_image_dir):
        if file.endswith(".hesaff.sift"):
            src = os.path.join(target_image_dir, file)
            dst = os.path.join(target_descriptor_save_dir, file)
            print(src, dst)
            # Move the descriptor file to the target descriptor save directory
            shutil.move(src, dst)

    # Generate the pickle for the target image
    subprocess.run(["python3", "get_dataset_all_image.py",
                    "--descriptors_dir_path", target_descriptor_save_dir,
                    "--images_dir_path", target_image_dir,
                    "--save_df_path", target_pickle_path])

def exists_dir_in_dir(dir_path):
    for file in os.listdir(dir_path):
        if os.path.isdir(os.path.join(dir_path, file)):
            return True
    return False

# Example usage
if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Process input and output paths")
    group = parser.add_mutually_exclusive_group(required=True)
    group.add_argument('--use_directory', type=str, help='Path to the directory')
    group.add_argument('--use_image', type=str, help='Path to the image file')
    parser.add_argument('--output', type=str, required=True, help='Path to the output file or directory')
    args = parser.parse_args()

    # Remove old hesaff executable if it exists
    if os.path.exists("hesaff"):
        os.remove("hesaff")
    if os.path.exists(args.output):
        os.remove(args.output)

    # Compile hesaff feature extractor
    os.chdir("hesaff_c++")
    subprocess.run(["make", "clean"])
    subprocess.run(["make"])
    shutil.move("hesaff", "..")
    subprocess.run(["make", "clean"])
    os.chdir("..")

    # Process dataset and target
    # Set variables
    # dataset_list = ["caltech101", "anime", "holiday"]
    # target_image_dir = "data/imgs"
    # target_descriptor_save_dir = "data/target_desc"
    # target_pickle_path = "data/target_df.pkl"

    if args.use_directory:
        input_path = args.use_directory
        target_descriptor_save_dir = "target_desc"
        output_path = args.output
        process_target(input_path, target_descriptor_save_dir, output_path)
        subprocess.run(['rm', '-rf', target_descriptor_save_dir])
    elif args.use_image:
        input_path = args.use_image
        target_descriptor_save_dir = "target_desc"
        output_path = args.output

        dummy_dir = 'dummy'
        subprocess.run(['mkdir', dummy_dir])
        subprocess.run(['cp', input_path, dummy_dir])
        process_target(dummy_dir, target_descriptor_save_dir, output_path)
        subprocess.run(['rm', '-rf', dummy_dir])
        subprocess.run(['rm', '-rf', target_descriptor_save_dir])

    if os.path.exists("hesaff"):
        os.remove("hesaff")
    print("Finished!")