Upload image_crawler.py with huggingface_hub
Browse files- image_crawler.py +525 -0
image_crawler.py
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|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""
|
| 3 |
+
OpenTransformers Image Crawler v1.0
|
| 4 |
+
Grabby hands for multimodal training data.
|
| 5 |
+
|
| 6 |
+
Grabs images + context (alt text, captions, surrounding text)
|
| 7 |
+
Perfect for vision-language model training.
|
| 8 |
+
|
| 9 |
+
Usage:
|
| 10 |
+
python image_crawler.py --seeds seeds.txt --output /workspace/images --max-gb 10
|
| 11 |
+
python image_crawler.py --seed "https://unsplash.com" --min-size 256 --workers 50
|
| 12 |
+
"""
|
| 13 |
+
|
| 14 |
+
import asyncio
|
| 15 |
+
import aiohttp
|
| 16 |
+
import argparse
|
| 17 |
+
import hashlib
|
| 18 |
+
import json
|
| 19 |
+
import os
|
| 20 |
+
import re
|
| 21 |
+
import time
|
| 22 |
+
import random
|
| 23 |
+
import base64
|
| 24 |
+
from dataclasses import dataclass, asdict
|
| 25 |
+
from datetime import datetime
|
| 26 |
+
from pathlib import Path
|
| 27 |
+
from typing import Optional, Set, Dict, List, Tuple
|
| 28 |
+
from urllib.parse import urljoin, urlparse
|
| 29 |
+
from collections import defaultdict
|
| 30 |
+
import struct
|
| 31 |
+
import io
|
| 32 |
+
|
| 33 |
+
# ============= IMAGE UTILITIES =============
|
| 34 |
+
|
| 35 |
+
def get_image_size_from_header(data: bytes) -> Tuple[int, int]:
|
| 36 |
+
"""Get image dimensions without downloading full image"""
|
| 37 |
+
if len(data) < 24:
|
| 38 |
+
return (0, 0)
|
| 39 |
+
|
| 40 |
+
# PNG
|
| 41 |
+
if data[:8] == b'\x89PNG\r\n\x1a\n':
|
| 42 |
+
if data[12:16] == b'IHDR':
|
| 43 |
+
w = struct.unpack('>I', data[16:20])[0]
|
| 44 |
+
h = struct.unpack('>I', data[20:24])[0]
|
| 45 |
+
return (w, h)
|
| 46 |
+
|
| 47 |
+
# JPEG
|
| 48 |
+
if data[:2] == b'\xff\xd8':
|
| 49 |
+
try:
|
| 50 |
+
i = 2
|
| 51 |
+
while i < len(data) - 8:
|
| 52 |
+
if data[i] != 0xff:
|
| 53 |
+
i += 1
|
| 54 |
+
continue
|
| 55 |
+
marker = data[i+1]
|
| 56 |
+
if marker in (0xc0, 0xc1, 0xc2): # SOF markers
|
| 57 |
+
h = struct.unpack('>H', data[i+5:i+7])[0]
|
| 58 |
+
w = struct.unpack('>H', data[i+7:i+9])[0]
|
| 59 |
+
return (w, h)
|
| 60 |
+
elif marker == 0xd9: # EOI
|
| 61 |
+
break
|
| 62 |
+
elif marker in (0xd0, 0xd1, 0xd2, 0xd3, 0xd4, 0xd5, 0xd6, 0xd7, 0xd8, 0x01):
|
| 63 |
+
i += 2
|
| 64 |
+
else:
|
| 65 |
+
length = struct.unpack('>H', data[i+2:i+4])[0]
|
| 66 |
+
i += 2 + length
|
| 67 |
+
except:
|
| 68 |
+
pass
|
| 69 |
+
|
| 70 |
+
# GIF
|
| 71 |
+
if data[:6] in (b'GIF87a', b'GIF89a'):
|
| 72 |
+
w = struct.unpack('<H', data[6:8])[0]
|
| 73 |
+
h = struct.unpack('<H', data[8:10])[0]
|
| 74 |
+
return (w, h)
|
| 75 |
+
|
| 76 |
+
# WebP
|
| 77 |
+
if data[:4] == b'RIFF' and data[8:12] == b'WEBP':
|
| 78 |
+
if data[12:16] == b'VP8 ':
|
| 79 |
+
w = struct.unpack('<H', data[26:28])[0] & 0x3fff
|
| 80 |
+
h = struct.unpack('<H', data[28:30])[0] & 0x3fff
|
| 81 |
+
return (w, h)
|
| 82 |
+
elif data[12:16] == b'VP8L':
|
| 83 |
+
bits = struct.unpack('<I', data[21:25])[0]
|
| 84 |
+
w = (bits & 0x3fff) + 1
|
| 85 |
+
h = ((bits >> 14) & 0x3fff) + 1
|
| 86 |
+
return (w, h)
|
| 87 |
+
|
| 88 |
+
return (0, 0)
|
| 89 |
+
|
| 90 |
+
|
| 91 |
+
def extract_images_from_html(html: str, base_url: str) -> List[Dict]:
|
| 92 |
+
"""Extract all images with context from HTML"""
|
| 93 |
+
images = []
|
| 94 |
+
|
| 95 |
+
# Standard img tags
|
| 96 |
+
for match in re.finditer(
|
| 97 |
+
r'<img[^>]+src=["\']([^"\']+)["\'][^>]*>',
|
| 98 |
+
html, re.I | re.DOTALL
|
| 99 |
+
):
|
| 100 |
+
full_tag = match.group(0)
|
| 101 |
+
src = match.group(1)
|
| 102 |
+
|
| 103 |
+
if src.startswith('data:'):
|
| 104 |
+
continue
|
| 105 |
+
|
| 106 |
+
# Get alt text
|
| 107 |
+
alt_match = re.search(r'alt=["\']([^"\']*)["\']', full_tag, re.I)
|
| 108 |
+
alt = alt_match.group(1) if alt_match else ""
|
| 109 |
+
|
| 110 |
+
# Get title
|
| 111 |
+
title_match = re.search(r'title=["\']([^"\']*)["\']', full_tag, re.I)
|
| 112 |
+
title = title_match.group(1) if title_match else ""
|
| 113 |
+
|
| 114 |
+
# Get srcset for higher res
|
| 115 |
+
srcset_match = re.search(r'srcset=["\']([^"\']+)["\']', full_tag, re.I)
|
| 116 |
+
srcset = srcset_match.group(1) if srcset_match else ""
|
| 117 |
+
|
| 118 |
+
# Parse srcset for best resolution
|
| 119 |
+
best_src = src
|
| 120 |
+
if srcset:
|
| 121 |
+
best_width = 0
|
| 122 |
+
for item in srcset.split(','):
|
| 123 |
+
parts = item.strip().split()
|
| 124 |
+
if len(parts) >= 2:
|
| 125 |
+
url = parts[0]
|
| 126 |
+
descriptor = parts[1]
|
| 127 |
+
if descriptor.endswith('w'):
|
| 128 |
+
try:
|
| 129 |
+
width = int(descriptor[:-1])
|
| 130 |
+
if width > best_width:
|
| 131 |
+
best_width = width
|
| 132 |
+
best_src = url
|
| 133 |
+
except:
|
| 134 |
+
pass
|
| 135 |
+
|
| 136 |
+
# Get surrounding text (50 chars before/after)
|
| 137 |
+
start = max(0, match.start() - 200)
|
| 138 |
+
end = min(len(html), match.end() + 200)
|
| 139 |
+
context = re.sub(r'<[^>]+>', ' ', html[start:end])
|
| 140 |
+
context = re.sub(r'\s+', ' ', context).strip()
|
| 141 |
+
|
| 142 |
+
try:
|
| 143 |
+
absolute_url = urljoin(base_url, best_src)
|
| 144 |
+
if absolute_url.startswith(('http://', 'https://')):
|
| 145 |
+
images.append({
|
| 146 |
+
'url': absolute_url,
|
| 147 |
+
'alt': alt,
|
| 148 |
+
'title': title,
|
| 149 |
+
'context': context[:500]
|
| 150 |
+
})
|
| 151 |
+
except:
|
| 152 |
+
pass
|
| 153 |
+
|
| 154 |
+
# Also grab og:image and twitter:image
|
| 155 |
+
for meta_prop in ['og:image', 'twitter:image']:
|
| 156 |
+
match = re.search(
|
| 157 |
+
f'<meta[^>]+(?:property|name)=["\'{meta_prop}["\'][^>]+content=["\']([^"\']+)["\']',
|
| 158 |
+
html, re.I
|
| 159 |
+
)
|
| 160 |
+
if not match:
|
| 161 |
+
match = re.search(
|
| 162 |
+
f'<meta[^>]+content=["\']([^"\']+)["\'][^>]+(?:property|name)=["\'{meta_prop}["\']',
|
| 163 |
+
html, re.I
|
| 164 |
+
)
|
| 165 |
+
if match:
|
| 166 |
+
src = match.group(1)
|
| 167 |
+
try:
|
| 168 |
+
absolute_url = urljoin(base_url, src)
|
| 169 |
+
if absolute_url.startswith(('http://', 'https://')):
|
| 170 |
+
images.append({
|
| 171 |
+
'url': absolute_url,
|
| 172 |
+
'alt': f'[{meta_prop}]',
|
| 173 |
+
'title': '',
|
| 174 |
+
'context': ''
|
| 175 |
+
})
|
| 176 |
+
except:
|
| 177 |
+
pass
|
| 178 |
+
|
| 179 |
+
return images
|
| 180 |
+
|
| 181 |
+
|
| 182 |
+
def extract_links(html: str, base_url: str) -> Set[str]:
|
| 183 |
+
"""Extract page links for crawling"""
|
| 184 |
+
links = set()
|
| 185 |
+
for match in re.finditer(r'href=["\']([^"\']+)["\']', html, re.I):
|
| 186 |
+
href = match.group(1)
|
| 187 |
+
if href.startswith(('#', 'javascript:', 'mailto:', 'tel:', 'data:')):
|
| 188 |
+
continue
|
| 189 |
+
try:
|
| 190 |
+
absolute = urljoin(base_url, href)
|
| 191 |
+
if absolute.startswith(('http://', 'https://')):
|
| 192 |
+
absolute = absolute.split('#')[0]
|
| 193 |
+
if len(absolute) < 500:
|
| 194 |
+
links.add(absolute)
|
| 195 |
+
except:
|
| 196 |
+
pass
|
| 197 |
+
return links
|
| 198 |
+
|
| 199 |
+
|
| 200 |
+
def get_domain(url: str) -> str:
|
| 201 |
+
try:
|
| 202 |
+
return urlparse(url).netloc.lower()
|
| 203 |
+
except:
|
| 204 |
+
return ""
|
| 205 |
+
|
| 206 |
+
|
| 207 |
+
# ============= DATA STRUCTURES =============
|
| 208 |
+
|
| 209 |
+
@dataclass
|
| 210 |
+
class CrawledImage:
|
| 211 |
+
url: str
|
| 212 |
+
source_page: str
|
| 213 |
+
domain: str
|
| 214 |
+
timestamp: str
|
| 215 |
+
alt: str
|
| 216 |
+
title: str
|
| 217 |
+
context: str
|
| 218 |
+
width: int
|
| 219 |
+
height: int
|
| 220 |
+
format: str
|
| 221 |
+
size_bytes: int
|
| 222 |
+
hash: str
|
| 223 |
+
# base64 data stored separately or inline depending on config
|
| 224 |
+
|
| 225 |
+
|
| 226 |
+
class Stats:
|
| 227 |
+
def __init__(self):
|
| 228 |
+
self.pages = 0
|
| 229 |
+
self.images = 0
|
| 230 |
+
self.bytes = 0
|
| 231 |
+
self.skipped_small = 0
|
| 232 |
+
self.skipped_dupe = 0
|
| 233 |
+
self.errors = 0
|
| 234 |
+
self.start = time.time()
|
| 235 |
+
self.by_domain: Dict[str, int] = defaultdict(int)
|
| 236 |
+
|
| 237 |
+
def report(self) -> str:
|
| 238 |
+
elapsed = time.time() - self.start
|
| 239 |
+
rate = self.images / elapsed if elapsed > 0 else 0
|
| 240 |
+
mb = self.bytes / (1024 * 1024)
|
| 241 |
+
return f"Pages: {self.pages} | Imgs: {self.images} | {mb:.1f} MB | {rate:.1f} img/s | Skip: {self.skipped_small}s/{self.skipped_dupe}d | Err: {self.errors}"
|
| 242 |
+
|
| 243 |
+
|
| 244 |
+
# ============= CRAWLER =============
|
| 245 |
+
|
| 246 |
+
class ImageCrawler:
|
| 247 |
+
USER_AGENTS = [
|
| 248 |
+
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 Chrome/120.0.0.0 Safari/537.36',
|
| 249 |
+
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 Chrome/120.0.0.0 Safari/537.36',
|
| 250 |
+
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 Chrome/120.0.0.0 Safari/537.36',
|
| 251 |
+
]
|
| 252 |
+
|
| 253 |
+
IMAGE_EXTENSIONS = {'.jpg', '.jpeg', '.png', '.gif', '.webp', '.bmp'}
|
| 254 |
+
|
| 255 |
+
def __init__(
|
| 256 |
+
self,
|
| 257 |
+
output_dir: str = 'image_data',
|
| 258 |
+
max_workers: int = 50,
|
| 259 |
+
max_pages: int = 100000,
|
| 260 |
+
max_bytes: int = 10 * 1024**3,
|
| 261 |
+
timeout: int = 30,
|
| 262 |
+
min_size: int = 256, # Minimum dimension
|
| 263 |
+
max_size: int = 8192, # Maximum dimension
|
| 264 |
+
min_bytes: int = 10000, # 10KB minimum
|
| 265 |
+
max_bytes_per_image: int = 20 * 1024**2, # 20MB max per image
|
| 266 |
+
save_inline: bool = False, # Save base64 in JSONL vs separate files
|
| 267 |
+
):
|
| 268 |
+
self.output_dir = Path(output_dir)
|
| 269 |
+
self.output_dir.mkdir(parents=True, exist_ok=True)
|
| 270 |
+
(self.output_dir / 'images').mkdir(exist_ok=True)
|
| 271 |
+
|
| 272 |
+
self.max_workers = max_workers
|
| 273 |
+
self.max_pages = max_pages
|
| 274 |
+
self.max_bytes = max_bytes
|
| 275 |
+
self.timeout = timeout
|
| 276 |
+
self.min_size = min_size
|
| 277 |
+
self.max_size = max_size
|
| 278 |
+
self.min_bytes = min_bytes
|
| 279 |
+
self.max_bytes_per_image = max_bytes_per_image
|
| 280 |
+
self.save_inline = save_inline
|
| 281 |
+
|
| 282 |
+
self.page_queue: asyncio.Queue = asyncio.Queue()
|
| 283 |
+
self.seen_pages: Set[str] = set()
|
| 284 |
+
self.seen_images: Set[str] = set()
|
| 285 |
+
self.seen_hashes: Set[str] = set()
|
| 286 |
+
self.stats = Stats()
|
| 287 |
+
self.running = True
|
| 288 |
+
|
| 289 |
+
self.output_file = None
|
| 290 |
+
self.output_lock = asyncio.Lock()
|
| 291 |
+
|
| 292 |
+
def _should_crawl_page(self, url: str) -> bool:
|
| 293 |
+
if url in self.seen_pages:
|
| 294 |
+
return False
|
| 295 |
+
skip_ext = {'.jpg', '.jpeg', '.png', '.gif', '.pdf', '.zip', '.mp3', '.mp4',
|
| 296 |
+
'.avi', '.mov', '.exe', '.css', '.js', '.ico', '.svg'}
|
| 297 |
+
lower = url.lower()
|
| 298 |
+
if any(lower.endswith(ext) for ext in skip_ext):
|
| 299 |
+
return False
|
| 300 |
+
return True
|
| 301 |
+
|
| 302 |
+
async def _fetch_page(self, session: aiohttp.ClientSession, url: str) -> Tuple[Optional[str], Set[str]]:
|
| 303 |
+
"""Fetch a page and extract images + links"""
|
| 304 |
+
try:
|
| 305 |
+
headers = {'User-Agent': random.choice(self.USER_AGENTS)}
|
| 306 |
+
async with session.get(url, headers=headers, timeout=self.timeout,
|
| 307 |
+
ssl=False, allow_redirects=True) as resp:
|
| 308 |
+
ct = resp.headers.get('content-type', '').lower()
|
| 309 |
+
if 'text/html' not in ct:
|
| 310 |
+
return None, set()
|
| 311 |
+
html = await resp.text(errors='ignore')
|
| 312 |
+
links = extract_links(html, url)
|
| 313 |
+
return html, links
|
| 314 |
+
except:
|
| 315 |
+
return None, set()
|
| 316 |
+
|
| 317 |
+
async def _fetch_image(self, session: aiohttp.ClientSession, img_info: Dict, source_page: str) -> Optional[Dict]:
|
| 318 |
+
"""Fetch and validate a single image"""
|
| 319 |
+
url = img_info['url']
|
| 320 |
+
|
| 321 |
+
if url in self.seen_images:
|
| 322 |
+
return None
|
| 323 |
+
self.seen_images.add(url)
|
| 324 |
+
|
| 325 |
+
try:
|
| 326 |
+
headers = {'User-Agent': random.choice(self.USER_AGENTS)}
|
| 327 |
+
async with session.get(url, headers=headers, timeout=self.timeout,
|
| 328 |
+
ssl=False, allow_redirects=True) as resp:
|
| 329 |
+
|
| 330 |
+
ct = resp.headers.get('content-type', '').lower()
|
| 331 |
+
if not any(t in ct for t in ['image/jpeg', 'image/png', 'image/gif', 'image/webp']):
|
| 332 |
+
return None
|
| 333 |
+
|
| 334 |
+
# Check content-length first
|
| 335 |
+
cl = resp.headers.get('content-length')
|
| 336 |
+
if cl:
|
| 337 |
+
size = int(cl)
|
| 338 |
+
if size < self.min_bytes or size > self.max_bytes_per_image:
|
| 339 |
+
self.stats.skipped_small += 1
|
| 340 |
+
return None
|
| 341 |
+
|
| 342 |
+
data = await resp.read()
|
| 343 |
+
|
| 344 |
+
if len(data) < self.min_bytes:
|
| 345 |
+
self.stats.skipped_small += 1
|
| 346 |
+
return None
|
| 347 |
+
|
| 348 |
+
# Get dimensions
|
| 349 |
+
width, height = get_image_size_from_header(data)
|
| 350 |
+
if width < self.min_size or height < self.min_size:
|
| 351 |
+
self.stats.skipped_small += 1
|
| 352 |
+
return None
|
| 353 |
+
if width > self.max_size or height > self.max_size:
|
| 354 |
+
self.stats.skipped_small += 1
|
| 355 |
+
return None
|
| 356 |
+
|
| 357 |
+
# Dedupe by hash
|
| 358 |
+
img_hash = hashlib.md5(data).hexdigest()
|
| 359 |
+
if img_hash in self.seen_hashes:
|
| 360 |
+
self.stats.skipped_dupe += 1
|
| 361 |
+
return None
|
| 362 |
+
self.seen_hashes.add(img_hash)
|
| 363 |
+
|
| 364 |
+
# Determine format
|
| 365 |
+
fmt = 'unknown'
|
| 366 |
+
if data[:8] == b'\x89PNG\r\n\x1a\n':
|
| 367 |
+
fmt = 'png'
|
| 368 |
+
elif data[:2] == b'\xff\xd8':
|
| 369 |
+
fmt = 'jpeg'
|
| 370 |
+
elif data[:6] in (b'GIF87a', b'GIF89a'):
|
| 371 |
+
fmt = 'gif'
|
| 372 |
+
elif data[:4] == b'RIFF' and data[8:12] == b'WEBP':
|
| 373 |
+
fmt = 'webp'
|
| 374 |
+
|
| 375 |
+
result = {
|
| 376 |
+
'url': url,
|
| 377 |
+
'source_page': source_page,
|
| 378 |
+
'domain': get_domain(url),
|
| 379 |
+
'timestamp': datetime.utcnow().isoformat(),
|
| 380 |
+
'alt': img_info.get('alt', ''),
|
| 381 |
+
'title': img_info.get('title', ''),
|
| 382 |
+
'context': img_info.get('context', ''),
|
| 383 |
+
'width': width,
|
| 384 |
+
'height': height,
|
| 385 |
+
'format': fmt,
|
| 386 |
+
'size_bytes': len(data),
|
| 387 |
+
'hash': img_hash,
|
| 388 |
+
}
|
| 389 |
+
|
| 390 |
+
if self.save_inline:
|
| 391 |
+
result['data'] = base64.b64encode(data).decode('ascii')
|
| 392 |
+
else:
|
| 393 |
+
# Save to file
|
| 394 |
+
ext = {'jpeg': 'jpg', 'png': 'png', 'gif': 'gif', 'webp': 'webp'}.get(fmt, 'bin')
|
| 395 |
+
fname = f"{img_hash}.{ext}"
|
| 396 |
+
fpath = self.output_dir / 'images' / fname
|
| 397 |
+
with open(fpath, 'wb') as f:
|
| 398 |
+
f.write(data)
|
| 399 |
+
result['file'] = fname
|
| 400 |
+
|
| 401 |
+
return result
|
| 402 |
+
|
| 403 |
+
except Exception as e:
|
| 404 |
+
self.stats.errors += 1
|
| 405 |
+
return None
|
| 406 |
+
|
| 407 |
+
async def _worker(self, session: aiohttp.ClientSession, worker_id: int):
|
| 408 |
+
"""Worker processes pages and their images"""
|
| 409 |
+
while self.running:
|
| 410 |
+
try:
|
| 411 |
+
page_url = await asyncio.wait_for(self.page_queue.get(), timeout=10.0)
|
| 412 |
+
except asyncio.TimeoutError:
|
| 413 |
+
if self.page_queue.empty():
|
| 414 |
+
break
|
| 415 |
+
continue
|
| 416 |
+
|
| 417 |
+
if self.stats.bytes >= self.max_bytes or self.stats.pages >= self.max_pages:
|
| 418 |
+
self.running = False
|
| 419 |
+
break
|
| 420 |
+
|
| 421 |
+
html, links = await self._fetch_page(session, page_url)
|
| 422 |
+
|
| 423 |
+
if html:
|
| 424 |
+
self.stats.pages += 1
|
| 425 |
+
|
| 426 |
+
# Extract and fetch images
|
| 427 |
+
images = extract_images_from_html(html, page_url)
|
| 428 |
+
for img_info in images:
|
| 429 |
+
if not self.running:
|
| 430 |
+
break
|
| 431 |
+
|
| 432 |
+
result = await self._fetch_image(session, img_info, page_url)
|
| 433 |
+
if result:
|
| 434 |
+
self.stats.images += 1
|
| 435 |
+
self.stats.bytes += result['size_bytes']
|
| 436 |
+
self.stats.by_domain[result['domain']] += 1
|
| 437 |
+
|
| 438 |
+
async with self.output_lock:
|
| 439 |
+
self.output_file.write(json.dumps(result) + '\n')
|
| 440 |
+
|
| 441 |
+
# Queue new pages
|
| 442 |
+
for link in links:
|
| 443 |
+
if self._should_crawl_page(link) and self.stats.pages < self.max_pages:
|
| 444 |
+
self.seen_pages.add(link)
|
| 445 |
+
await self.page_queue.put(link)
|
| 446 |
+
|
| 447 |
+
if self.stats.pages % 50 == 0:
|
| 448 |
+
print(f"[{datetime.now().strftime('%H:%M:%S')}] {self.stats.report()}")
|
| 449 |
+
|
| 450 |
+
self.page_queue.task_done()
|
| 451 |
+
|
| 452 |
+
async def crawl(self, seeds: List[str]):
|
| 453 |
+
print(f"OpenTransformers Image Crawler starting")
|
| 454 |
+
print(f"Seeds: {len(seeds)} | Workers: {self.max_workers} | Min size: {self.min_size}px")
|
| 455 |
+
print(f"Target: {self.max_pages} pages / {self.max_bytes/1024**3:.1f} GB")
|
| 456 |
+
print("-" * 60)
|
| 457 |
+
|
| 458 |
+
for seed in seeds:
|
| 459 |
+
self.seen_pages.add(seed)
|
| 460 |
+
await self.page_queue.put(seed)
|
| 461 |
+
|
| 462 |
+
timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
|
| 463 |
+
output_path = self.output_dir / f'images_{timestamp}.jsonl'
|
| 464 |
+
self.output_file = open(output_path, 'w', buffering=1)
|
| 465 |
+
|
| 466 |
+
connector = aiohttp.TCPConnector(limit=self.max_workers, ssl=False)
|
| 467 |
+
async with aiohttp.ClientSession(connector=connector) as session:
|
| 468 |
+
workers = [asyncio.create_task(self._worker(session, i)) for i in range(self.max_workers)]
|
| 469 |
+
await asyncio.gather(*workers)
|
| 470 |
+
|
| 471 |
+
self.output_file.close()
|
| 472 |
+
|
| 473 |
+
print("-" * 60)
|
| 474 |
+
print(f"DONE! {self.stats.report()}")
|
| 475 |
+
print(f"Metadata: {output_path}")
|
| 476 |
+
if not self.save_inline:
|
| 477 |
+
img_dir = self.output_dir / 'images'
|
| 478 |
+
img_count = len(list(img_dir.glob('*')))
|
| 479 |
+
img_size = sum(f.stat().st_size for f in img_dir.glob('*')) / (1024**2)
|
| 480 |
+
print(f"Images: {img_dir} ({img_count} files, {img_size:.1f} MB)")
|
| 481 |
+
|
| 482 |
+
|
| 483 |
+
def main():
|
| 484 |
+
p = argparse.ArgumentParser(description='OpenTransformers Image Crawler')
|
| 485 |
+
p.add_argument('--seeds', type=str, help='File with seed URLs')
|
| 486 |
+
p.add_argument('--seed', type=str, action='append', help='Single seed URL')
|
| 487 |
+
p.add_argument('--output', type=str, default='image_data')
|
| 488 |
+
p.add_argument('--workers', type=int, default=50)
|
| 489 |
+
p.add_argument('--max-pages', type=int, default=100000)
|
| 490 |
+
p.add_argument('--max-gb', type=float, default=10.0)
|
| 491 |
+
p.add_argument('--timeout', type=int, default=30)
|
| 492 |
+
p.add_argument('--min-size', type=int, default=256, help='Min image dimension (px)')
|
| 493 |
+
p.add_argument('--max-size', type=int, default=8192, help='Max image dimension (px)')
|
| 494 |
+
p.add_argument('--min-kb', type=int, default=10, help='Min image size (KB)')
|
| 495 |
+
p.add_argument('--inline', action='store_true', help='Save base64 in JSONL instead of files')
|
| 496 |
+
|
| 497 |
+
args = p.parse_args()
|
| 498 |
+
|
| 499 |
+
seeds = []
|
| 500 |
+
if args.seeds:
|
| 501 |
+
with open(args.seeds) as f:
|
| 502 |
+
seeds.extend(line.strip() for line in f if line.strip())
|
| 503 |
+
if args.seed:
|
| 504 |
+
seeds.extend(args.seed)
|
| 505 |
+
if not seeds:
|
| 506 |
+
print("ERROR: Provide --seeds file or --seed URLs")
|
| 507 |
+
return
|
| 508 |
+
|
| 509 |
+
crawler = ImageCrawler(
|
| 510 |
+
output_dir=args.output,
|
| 511 |
+
max_workers=args.workers,
|
| 512 |
+
max_pages=args.max_pages,
|
| 513 |
+
max_bytes=int(args.max_gb * 1024**3),
|
| 514 |
+
timeout=args.timeout,
|
| 515 |
+
min_size=args.min_size,
|
| 516 |
+
max_size=args.max_size,
|
| 517 |
+
min_bytes=args.min_kb * 1024,
|
| 518 |
+
save_inline=args.inline,
|
| 519 |
+
)
|
| 520 |
+
|
| 521 |
+
asyncio.run(crawler.crawl(seeds))
|
| 522 |
+
|
| 523 |
+
|
| 524 |
+
if __name__ == '__main__':
|
| 525 |
+
main()
|