Tlosa li-watermark ho tloha ho setšoantšo sefe kapa sefe

curl -X POST https://api.watermarkremoverai.com/v1/watermark/remove-image/ \
  -H "Authorization: YOUR_API_TOKEN" \
  -F "files=@photo.jpg" \
  -F "auto_detect=true"
# => {"uuid": "..."}

# Poll for the result
curl -X POST https://api.watermarkremoverai.com/v1/watermark/results/ \
  -d "uuid=..."

import requests

API = "https://api.watermarkremoverai.com/v1/watermark"
headers = {"Authorization": "YOUR_API_TOKEN"}

with open("photo.jpg", "rb") as f:
    job = requests.post(API + "/remove-image/",
                        headers=headers,
                        files={"files": f},
                        data={"auto_detect": "true"}).json()

result = requests.post(API + "/results/",
                       data={"uuid": job["uuid"]}).json()
print(result)

Na u batla ho sebelisa mask ka letsoho? Tlosa mask=@mask.png e le hore u sebelise auto_detect, kapa u fane ka mask_x / mask_y / mask_width / mask_height (e eketsa mask_is_percentage=true bakeng sa liperesente). Dilation=5 e ka etsoang e hōla sebaka se masked.