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Update image0001.json

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  1. image0001.json +199 -3536
image0001.json CHANGED
@@ -1,3536 +1,199 @@
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1
+ from pathlib import Path as pth
2
+ import json
3
+ import tempfile
4
+ from shutil import rmtree
5
+ from typing import Union, Optional
6
+ from tqdm import tqdm
7
+
8
+ import fire
9
+
10
+ from prepare_data import (
11
+ get_text_dataset,
12
+ gdrive_download_and_extract,
13
+ mega_download_and_extract,
14
+ get_hdris,
15
+ get_materials,
16
+ get_fonts,
17
+ DownloadError
18
+ )
19
+ from generate_samples_2d import generate_samples
20
+ from blender_render_samples_3d import run_blender_command
21
+ from postprocess import postprocess_samples
22
+
23
+
24
+ def download_from_grdrive_or_mega(
25
+ path: Union[str, pth],
26
+ gdrive_file_id: str,
27
+ mega_file_id_and_key: str,
28
+ desc: Optional[str]=None,
29
+ ) -> pth:
30
+ path = pth(path)
31
+ if desc is None:
32
+ desc = str(path.stem)
33
+
34
+ print(f"Downloading {desc}...")
35
+
36
+ # download from google drive, if failed, download from mega
37
+ try:
38
+ download_path = gdrive_download_and_extract(path, gdrive_file_id)
39
+ if not download_path.is_dir():
40
+ raise DownloadError(f"{desc} from Google Drive")
41
+ except Exception as e:
42
+ print(e)
43
+ print(f"Attempting to download {desc} from Mega.nz")
44
+
45
+ download_path = mega_download_and_extract(path, mega_file_id_and_key)
46
+ if not download_path.is_dir():
47
+ raise DownloadError(f"{desc} from Mega.nz")
48
+
49
+ return download_path
50
+
51
+
52
+ def download_and_prepare_data():
53
+ download_path = pth("../assets/").resolve()
54
+ if not download_path.is_dir():
55
+ download_path.mkdir(parents=True, exist_ok=True)
56
+
57
+ print("Preparing text dataset...")
58
+ _, texts_iter = get_text_dataset()
59
+
60
+ fonts_path = download_from_grdrive_or_mega(
61
+ download_path / "fonts",
62
+ "1-K8EE0QsXfxaAV-5uOE6lhTLGicRZbW2",
63
+ "itg2TKoJ#UCOEQqX7pPwAf9pguWVUuksX7orWtzK5n4SdI6CQqGc"
64
+ )
65
+
66
+ hdris_path = download_from_grdrive_or_mega(
67
+ download_path / "hdris",
68
+ "1BNCTqw5fenCK-D48-a7VQ234Aq3k45hu",
69
+ "D5YWQKgR#fFRHe-HpbCc7-yAm3h5zxbR905o1hkrxKJDvQOsGOKk"
70
+ )
71
+
72
+ materials_path = download_from_grdrive_or_mega(
73
+ download_path / "materials",
74
+ "1-5dz5DMce-braCrhVIsqB58PvcyB6qyy",
75
+ "W0hGyCzB#-Gldvyt6uGt9D6iT8kDL-T4CKGNwIKD0Yc4jR2MAgxo"
76
+ )
77
+
78
+ fonts_iter = get_fonts(fonts_path)
79
+ hdris_iter = get_hdris(hdris_path)
80
+ materials_iter = get_materials(materials_path)
81
+
82
+ return texts_iter, fonts_iter, hdris_iter, materials_iter
83
+
84
+
85
+ def main(
86
+ n_samples: int,
87
+ blender_path: str,
88
+ output_dir: str,
89
+ device: str,
90
+ resolution_x: int = 512,
91
+ resolution_y: int = 512,
92
+ compression_level: int = 9,
93
+ ):
94
+ """
95
+ Runs the main pipeline for rendering handwritten text on a virtual piece of paper using Blender.
96
+ It downloads and prepares data for rendering 3D documents using Blender.
97
+ It generates samples, renders them using Blender, and post-processes them.
98
+ The generated samples are saved in the specified output directory.
99
+
100
+ Args:
101
+ n_samples (int): The number of sample images to generate.
102
+ blender_path (str): The path to the Blender executable.
103
+ output_dir (str): The path to the directory where the rendered images will be saved.
104
+ device (str): The device to use for rendering ('cpu', 'cuda' or 'optix').
105
+ output_image_resolution (Tuple[int, int], optional): The resolution of the output images. Defaults to (512, 512).
106
+ compression_level (int, optional): The png compression level to use when saving the output images.
107
+ Must be between 0 and 9, with 0 being no compression and 9 being maximum compression.
108
+ Defaults to 9.
109
+
110
+ Raises:
111
+ ValueError: If the output directory is not empty.
112
+
113
+ Returns:
114
+ None
115
+ """
116
+
117
+ device = device.upper()
118
+
119
+ blender_path: pth = pth(blender_path)
120
+ output_dir: pth = pth(output_dir)
121
+
122
+ if device not in ["CPU", "CUDA", "OPTIX"]:
123
+ raise ValueError(f"Invalid device: {device}")
124
+
125
+ if not blender_path.is_file():
126
+ raise ValueError(f"Blender path {blender_path} is not a valid file")
127
+
128
+ if not output_dir.is_dir():
129
+ output_dir.mkdir(parents=True, exist_ok=True)
130
+
131
+ blender_path = blender_path.resolve()
132
+ output_dir = output_dir.resolve()
133
+
134
+ # Check if the output directory is empty
135
+ if output_dir.is_dir() and list(output_dir.iterdir()):
136
+ raise ValueError(f"Output directory {output_dir} is not empty")
137
+
138
+ resolution = resolution_x, resolution_y
139
+
140
+ texts, fonts, hdris, materials = download_and_prepare_data()
141
+
142
+ root_dir = pth.cwd() / "Blender_3D_document_rendering_pipeline"
143
+
144
+ temp_dir = pth(tempfile.mkdtemp())
145
+ print(f"Saving temporary files to: {temp_dir}")
146
+
147
+ config_dir = temp_dir / "configs"
148
+ image_dir = temp_dir / "images"
149
+ config_dir.mkdir()
150
+ image_dir.mkdir()
151
+
152
+ print("Generating samples...")
153
+ generated_samples = generate_samples(
154
+ n_samples=n_samples,
155
+ device=device,
156
+ output_image_resolution=resolution,
157
+ compression_level=compression_level,
158
+ root_dir=root_dir,
159
+ output_dir=output_dir,
160
+ config_dir=config_dir,
161
+ image_dir=image_dir,
162
+ random_font_iter=fonts,
163
+ random_hdri_iter=hdris,
164
+ random_material_iter=materials,
165
+ shuffled_dataset_iter=texts,
166
+ )
167
+
168
+ print("Rendering samples using Blender...")
169
+ output_dir.mkdir(parents=True, exist_ok=True)
170
+ run_blender_command(blender_path, config_dir, output_dir, device)
171
+
172
+ postprocess_samples(generated_samples)
173
+
174
+ for k in tqdm(generated_samples, desc="Processing samples"):
175
+ output_dict = {
176
+ "text": k.text,
177
+ "bboxes": k.bounding_boxes,
178
+ "font_path": str(k.font_path),
179
+ "font_color": k.font_color.tolist(),
180
+ "text_rotation_angle": k.text_rotation_angle,
181
+ "resolution": k.output_image_resolution,
182
+ }
183
+
184
+ if k.bounding_boxes is None:
185
+ print(f"Failed to calculate bounding boxes for {k.text}! Skipping")
186
+ print(json.dumps(output_dict, indent=4))
187
+ sample_output_dir = k.output_image_path.parent
188
+ rmtree(sample_output_dir)
189
+ continue
190
+
191
+ with open(k.output_image_path.with_suffix(".json"), "w") as f:
192
+ json.dump(output_dict, f, indent=4)
193
+
194
+ print("Cleaning up temporary files...")
195
+ rmtree(temp_dir)
196
+
197
+
198
+ if __name__ == "__main__":
199
+ fire.Fire(main)</document_content>