Cropper
The Python SDK supports the Mindee V1 Cropper API.
Product Specifications
Endpoint Name
cropper
Recommended Version
v1.1
Supports Polling/Webhooks
❌ No
Support Synchronous HTTP Calls
✔️ Yes
Geography
🌐 Global
Quick-Start
Using the sample below, we are going to illustrate how to extract the data that we want using the SDK.

Sample Code
#
# Install the Python client library by running:
# pip install mindee
#
from mindee import Client, PredictResponse, product
# Init a new client
mindee_client = Client(api_key="my-api-key")
# Load a file from disk
input_doc = mindee_client.source_from_path("/path/to/the/file.ext")
# Load a file from disk and parse it.
result: PredictResponse = mindee_client.parse(
product.CropperV1,
input_doc,
)
# Print a summary of the API result
print(result.document)
# Print the document-level summary
# print(result.document.inference.prediction)
Sample Output (rST)
########
Document
########
:Mindee ID: 149ce775-8302-4798-8649-7eda9fb84a1a
:Filename: default_sample.jpg
Inference
#########
:Product: mindee/cropper v1.0
:Rotation applied: No
Prediction
==========
Page Predictions
================
Page 0
------
:Document Cropper: Polygon with 26 points.
Polygon with 25 points.Standard Fields
These fields are generic and used in several products.
BaseField
Each prediction object contains a set of fields that inherit from the generic BaseField class. A typical BaseField object will have the following attributes:
value (
Union[float, str]): corresponds to the field value. Can beNoneif no value was extracted.confidence (
float): the confidence score of the field prediction.bounding_box (
[Point, Point, Point, Point]): contains exactly 4 relative vertices (points) coordinates of a right rectangle containing the field in the document.polygon (
List[Point]): contains the relative vertices coordinates (Point) of a polygon containing the field in the image.page_id (
int): the ID of the page, alwaysNonewhen at document-level.reconstructed (
bool): indicates whether an object was reconstructed (not extracted as the API gave it).
Aside from the previous attributes, all basic fields have access to a custom __str__ method that can be used to print their value as a string.
PositionField
The position field PositionField does not implement all the basic BaseField attributes, only bounding_box, polygon and page_id.
On top of these, it has access to:
rectangle (
[Point, Point, Point, Point]): a Polygon with four points that may be oriented (even beyond canvas).quadrangle (
[Point, Point, Point, Point]): a free polygon made up of four points.
Page-Level Fields
Some fields are constrained to the page level, and so will not be retrievable at document level.
Attributes
The following fields are extracted for Cropper V1:
Document Cropper
📄cropping (List[PositionField]): List of documents found in the image.
for page in result.document.inference.pages:
for cropping_elem in page.prediction.cropping):
print(cropping_elem.polygon)Last updated
Was this helpful?

