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greeneryscenery /chronocrop:2eec8aa5
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 |
|---|---|---|---|
| ZIP_IMAGES |
string
|
Zipped images in the format of (0.jpg, 1.jpg, 2.jpg, ...)
|
|
| ARUCO_PX |
integer
|
100
|
ArUco pixel size in maximum width / height 1500px image
|
| ARUCO_CM |
integer
|
7
|
ArUco size in cm
|
| TARGET |
integer
|
150
|
Target area in cm^2
|
| DAYS |
integer
|
35
|
Optimal duration in days
|
| DISTANCE |
integer
|
100
|
Separating distance in px
|
| WRITE |
boolean
|
True
|
Write?
|
| READ |
boolean
|
True
|
Read?
|
| CONTINUE |
boolean
|
False
|
Continue?
|
| WRITE_IMAGE |
boolean
|
False
|
Output images for write?
|
| READ_IMAGE |
boolean
|
True
|
Output images for read?
|
| FAST |
boolean
|
False
|
Use FastSAM?
|
| TEXT_PROMPT |
string
|
Text prompt for Grounding DINO
|
|
| DATES_PATH |
string
|
Upload dates.csv, defaults to daily from today
|
|
| READ_ONLY_PATH |
string
|
Upload read_outputs.json
|
|
| CONTINUE_WRITE_PATH |
string
|
Upload write_outputs.json
|
|
| CONTINUE_READ_PATH |
string
|
Upload read_outputs.json
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array',
'x-cog-array-type': 'iterator'}