「白嫖」一个商业去水印站：139 张图的两轮解剖

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# 直接抓 → 403
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urllib.request.urlopen("https://magiceraser.org/_nuxt/CIv10V-Y.js")
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# HTTPError: 403

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common/upload/upload-image      → 拿 OSS 直传槽位
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common/sign-object              → 把私有地址签成可访问地址
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runtime/jobs/create-job         → 提交消除任务
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runtime/jobs/get-job/{id}       → 轮询结果

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import requests
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API = "https://api-v2.imgupscaler.ai/api/"
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s = requests.Session()
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s.trust_env = False          # 别让系统代理干扰
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r = s.post(f"{API}common/upload/upload-image",
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           data={"file_name": "a.jpg"}, timeout=30)
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print(r.json())
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# {"code":100000,"result":{"object_name":"...","url":"https://...oss..."}}

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files = {
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    "original_image_file": ("src.png",  img_bytes,  "image/png"),
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    "mask_image_file":     ("mask.png", mask_bytes, "image/png"),
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}
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data = {"auto_quality_mode": "fast"}

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import cv2, numpy as np
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def build_mask(size, boxes, dilate=5, feather=2.0):
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    m = np.zeros((size[1], size[0]), np.uint8)
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    for (x, y, w, h) in boxes:
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        m[y:y+h, x:x+w] = 255
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    if dilate:
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        m = cv2.dilate(m, np.ones((dilate*2+1,)*2, np.uint8))
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    if feather:
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        k = int(feather*2*2+1)
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        m = cv2.GaussianBlur(m, (k, k), feather)
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    return m

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{"code":100000,"result":{"job_id":"...","status":0,"credits_cost":3,
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 "free_credits_info":{"no_login_free_credits":10}}}

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headers = {"Product-Serial": str(uuid.uuid4()), "Product-Code": "magiceraser"}

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{"code":300017,"message":"免费使用次数不足。请登录后选择套餐继续使用"}

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# proxy_pool2.py 核心：多源合并 + 并发探活
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SOURCES = [
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    "https://api.proxyscrape.com/v4/free-proxy-list/get?request=display_proxies&protocol=http&proxy_format=protocolipport&format=text",
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    "https://raw.githubusercontent.com/TheSpeedX/PROXY-List/master/http.txt",
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]

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✗ 002 create ProxyError
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✗ 005 create SSLError
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✗ 011 poll 400201

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create-job   → 走代理（换 IP，骗过额度检查）
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get-job 轮询 → 走直连（稳定，不会断）
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下载结果     → 走直连

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# me_stable.py 的关键
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job = create_via_proxy(img, mask, proxy)     # 只有这一步需要换 IP
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while True:                                   # 后面全直连
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    r = s.get(f"{API}runtime/jobs/get-job/{job_id}", timeout=60)
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    if r.json()["result"].get("output_url"):
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        break
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    time.sleep(2)
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data = s.get(output_url, timeout=120).content

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from PIL import Image
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out = Image.open(io.BytesIO(data)).convert("RGB")
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if out.size != orig_size:
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    out = out.crop((0, 0, orig_size[0], orig_size[1]))

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hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
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mask = cv2.inRange(hsv, np.array([0,120,120]), np.array([10,255,255])) | \
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       cv2.inRange(hsv, np.array([170,120,120]), np.array([180,255,255]))
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n, lab, stats, cents = cv2.connectedComponentsWithStats(mask, 8)
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# 面积 800~2500 的连通块 = 红点

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boxes = [(int(W*0.405), int(H*0.948), int(W*0.195), int(H*0.028))]

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r = s.post(f"{API}pai-login/v1/user/get-userinfo",
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           headers={"Product-Serial": "x"}, timeout=20)
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# {"free_credits_info":{"day_credits_is_refreshed": True,
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#   "no_login_free_credits": 10, "day_free_credits": 10}}

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不带 p 参数    → 原图（已替换成处理后的）
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按 B → 1/3    → stroke（本地笔画修补）
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按 B → 2/3    → sd   （开源模型）
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按 B → 3/3    → me   （本次 magiceraser 结果）

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shutil.copy2(src, backup_dir / rel)

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第一轮  111 / 111   左上角竖排水印
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第二轮   28 / 28    底部 SOURCE MUSIC + 红点
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耗时    约 4 小时（分 4 批，含代理探活）
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成本    0
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尺寸    全部与原图一致