Paddle OCR Parser #64
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…r characters. This PR adds a classification_sequence_message that returns a sequence of charecters corresponding to maximum probability in the sequence. The message has optional parameters to remove duplicates and ignore background class indexes. In addition this PR also adds a PaddleOCR Parser, which utilizes the classification_sequence message.
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Sep 11, 2024
Test Results140 tests 140 ✅ 1s ⏱️ Results for commit 245145a. |
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Paddle OCR model outputs a sequence of classification probabilities for each possible character at each sequence step.
This PR adds a general postprocessing function,
classification_sequence_message, that can be used for this model and similar ones. Theclassification_sequence_messagefinds the class (in the case of OCR: characters) with the maximum probability at each sequence step. It can optionally remove unwanted classes (such as padding, background, or blank characters) from the sequence, as well as concatenate them into words in the case of characters or into sentences in the case of complete words. The return type is adepthai_nodes.Classificationmessage. Unit tests have also been added.ppocr.PaddleOCRParserutilizes this message for the PaddleOCR model.