ml.postprocessing — ML Postprocessing

The ml.postprocessing module contains classes for postprocessing model output.

class fomo_postprocess – FOMO

Used to post-process FOMO model output.

Constructors

class ml.postprocessing.fomo_postprocess(threshold: float = 0.4) → fomo_postprocess

Create a FOMO postprocessor.

threshold The threshold to use for postprocessing.

This post-processor returns a list of rect [x, y, w, h] and score tuples for each class in the model output. E.g. [[((x, y, w, h), score)]]. Note that empty class list are included in the output to ensure the position of each class list in the output matches the position of the class index in the model output.

class yolo_lc_postprocess – YOLO LC

Used to post-process YOLO LC model output.

Constructors

class ml.postprocessing.yolo_lc_postprocess(threshold: float = 0.6, anchors: List[Tuple[float, float]] = None, nms_threshold: float = 0.1, nms_sigma: float = 0.1) → yolo_lc_postprocess

Create a YOLO LC postprocessor.

threshold The threshold to use for postprocessing.

anchors A list of anchor points (x, y) the model was trained on to use for postprocessing.

This post-processor returns a list of rect [x, y, w, h] and score tuples for each class in the model output. E.g. [[((x, y, w, h), score)]]. Note that empty class list are included in the output to ensure the position of each class list in the output matches the position of the class index in the model output.

class yolo_v2_postprocess – YOLO V2

Used to post-process YOLO V2 model output.

Constructors

class ml.postprocessing.yolo_v2_postprocess(threshold: float = 0.6, anchors: List[Tuple[float, float]] = None, nms_threshold: float = 0.1, nms_sigma: float = 0.1) → yolo_v2_postprocess

Create a YOLO V2 postprocessor.

threshold The threshold to use for postprocessing.

anchors A list of anchor points (x, y) the model was trained on to use for postprocessing.

This post-processor returns a list of rect [x, y, w, h] and score tuples for each class in the model output. E.g. [[((x, y, w, h), score)]]. Note that empty class list are included in the output to ensure the position of each class list in the output matches the position of the class index in the model output.

class yolo_v5_postprocess – YOLO V5

Used to post-process YOLO V5 model output.

Constructors

class ml.postprocessing.yolo_v5_postprocess(threshold: float = 0.6, nms_threshold: float = 0.1, nms_sigma: float = 0.1) → yolo_v5_postprocess

Create a YOLO V5 postprocessor.

threshold The threshold to use for postprocessing.

This post-processor returns a list of rect [x, y, w, h] and score tuples for each class in the model output. E.g. [[((x, y, w, h), score)]]. Note that empty class list are included in the output to ensure the position of each class list in the output matches the position of the class index in the model output.

class yolo_v8_postprocess – YOLO V8

Used to post-process YOLO V8 model output.

Constructors

class ml.postprocessing.yolo_v8_postprocess(threshold: float = 0.6, nms_threshold: float = 0.1, nms_sigma: float = 0.1) → yolo_v8_postprocess

Create a YOLO V8 postprocessor.

threshold The threshold to use for postprocessing.

This post-processor returns a list of rect [x, y, w, h] and score tuples for each class in the model output. E.g. [[((x, y, w, h), score)]]. Note that empty class list are included in the output to ensure the position of each class list in the output matches the position of the class index in the model output.