The API integration needs to follow the followingStandardized processes::
- Service deployment
- Start command:
python dam_server.py --model-path nvidia/DAM-3B --conv-mode v1 - Recommended to use non-standard ports such as 8001 to avoid conflicts
- Start command:
- request construction (math.)
- Images need to be converted to Base64 encoding, it is recommended to use the
base64.b64encode(open("image.png","rb").read()) - Video needs to be processed in frames, with 3-5 keyframes extracted per second
- Images need to be converted to Base64 encoding, it is recommended to use the
- response parsing
- Successful responses contain confidence scores (0-1 range)
- Error codes: 4001 (invalid mask), 5003 (model overload)
Typical Integration Example:
In the urban planning system, the response time is controlled within 1.2 seconds by sending an aerial photograph through a POST request to obtain structured descriptions such as "6-meter wide motorway + 2-meter wide green belt".
This answer comes from the articleDescribe Anything: Open source tool for generating detailed descriptions of images and video regionsThe
May not be reproduced without permission:AI productivity tools " How to integrate Describe Anything into a custom app via API?
