muqtadar08 / yolo

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  • 59 runs

Run muqtadar08/yolo with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field Type Default value Description
input_image
string
Path to an image
model_name
string (enum)
yolox-s

Options:

yolox-s, yolox-m, yolox-l, yolox-x

Model name
conf
number
0.3

Max: 1

Confidence threshold: Only detections with confidence higher are kept
nms
number
0.3

Max: 1

NMS threshold: NMS removes redundant detections. Detections with overlap percentage (IOU) above this threshold are consider redundant to each other and only one of them will be kept
tsize
integer
640
Resize image to this size
return_json
boolean
False
Return results in json format

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{
  "type": "object",
  "title": "Output",
  "properties": {
    "img": {
      "type": "string",
      "title": "Img",
      "format": "uri"
    },
    "json_str": {
      "type": "string",
      "title": "Json Str"
    }
  }
}