Hello,
For information we have released
UltimateALPR v3.3. We highly recommend updating your code
Fix issue #132, #127, #126, #124, #123, #122, #118 and #61
+ We have improved the accuracy for the
detector.
- Now we detect motorcycles in
addition to cars
- You'll have fewer false positives on cars without plates.
- The bounding boxes on overlapping
cars are more accurate.
+ We have improved the OCR models.
+ We have improved the accuracy for the Pyramidal search. The bounding boxes on far away or small cars and plates are tighter.
+ We have improved the accuracy for Vehicle Body Style Recognition (VBSR) and added 'motorcycle' to the classes.
+ We have improved
the accuracy for Vehicle
Color Recognition (VCR).
+ Completely redesigned License
Plate Country Identification (LPCI) to improve the
accuracy.
+ Return "frame_id" in every callback when
parallel
mode is enabled to ease matching the input to the result.
+ Now it's possible to attach the license to a Microsoft Azure VM instead of hardware to avoid requiring a dedicated server. More info at https://github.com/DoubangoTelecom/ultimateALPR-SDK/blob/master/AWS.md#azure
+ Now we return the OCR score for each character/digit in the license plate number. More info about the JSON 'confidences' field at https://www.doubango.org/SDKs/anpr/docs/Frequently_Asked_Questions_(FAQ).html#could-you-explain-what-each-field-in-the-json-result-mean. This is backward compatible, no change needed in your code.
Regards,