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Version

13.3.0 Current Version (2021-11-23)

  • New images for digits
  • BMP as input for the rescaling script is now also supported

13.2.0 Current Version (2021-10-29)

  • New images (7-segment LCD, new analog types)
  • Changed convolutional layer 2 & 3 to RELU activation function

13.1.0 Current Version (2021-10-06)

  • New images (minor change)

  • License change (remove MIT license, remark see below)

ATTENTION: LICENSE CHANGE - removal of MIT License.

  • Currently no licence published - copyright belongs to author
  • If you are interested in a commercial usage or dedicated versions please contact the developer

13.0.0 Current Version - (2021-09-12)

  • New type of digits (green LCD)

12.1.0 Current Version - (2021-09-10)

  • Adaption of augmentation range (reduction)
  • Additional images, new type of digits

12.0.0 Current Version - (2021-08-01)

  • Save classification in file name instead of subdirectory
  • Additional images, new type of digits

11.1.0 Current Version - (2021-07-28)

  • Additional images, new type of digits

11.0.0 Current Version - (2021-07-13)

  • Updated quantization implementation (use original images)
  • Internal improvements (speed)

10.3.0 Current Version - (2021-06-29)

  • Update with additional set of digits

10.2.0 Current Version - (2021-06-27)

  • Update with additional set of digits

10.0.0 Current Version - (2021-06-19)

  • Removing of double images
  • Adding of V200 digits

9.0.1 Current Version - (2021-05-29)

  • NEW 9.0.1: Additional digits for the last variant
  • New type of LCD-numbers integrated (white on black)
  • Update with additional set of digits

8.7.0 Current Version - (2021-05-27)

  • Update with additional set of digits

8.6.0 Current Version - (2021-05-18)

  • Update with additional set of digits

8.5.0 Current Version - (2021-05-07)

  • Update with additional set up digits

8.3.1 Current Version - (2021-04-11)

  • Update with additional set up digits

8.2.0 Current Version - (2021-03-25)

  • Update with additional set up digits

  • Change file naming convention (tflite file)

8.1.1 Current Version - (2021-02-27)

  • Update with additional set up digits

7.2.1 Current Version - (2020-12-29)

  • Update with additional set up digits

7.1.0 Current Version - (2020-11-17)

  • Update with additional set up digits

7.0.0 Current Version - (2020-10-31)

  • Included LCD-digits in training

6.5.0 Current Version - (2020-10-24)

  • Update with additional set up digits (gas counter, electric power counter)

6.4.0 Current Version - (2020-09-23)

  • Update with additional set up digits

6.3.0 Current Version - (2020-09-02)

  • Relabeling of training images
    • Take out unambiguous (number or NaN) - criteria for number: complete picture is in the ROI visible Labeling-Criteria.md
    • Remove replicated pictures
  • Implementation of "train all" parameter
  • Experiments with reduces network size for speeding up image recognition ("...-Small-vX.tflite")
  • Training with new picture from iobroker users
  • White on black, white on red digits - additional pictures

6.2.0 Current Version - (2020-07-11)

  • Training with new picture from iobroker users
  • White on black, white on red digits

6.1.2 Version - (2020-06-15)

  • Training with new picture from iobroker users

6.1.1 Version - (2020-05-29)

  • Training with new picture from iobroker users

6.1.0 Version (2020-05-09)

  • Training with new picture from iobroker users
  • For size minimized tflite-File implemented ("_quantized")

6.0.0 Tensorflow 2.1 (2020-04-18)

  • Updated to Tensorflow 2.1
  • additional export to TF-Lite Version (.tflite)
  • Training with new picture from iobroker users

5.0.0 Current Version - Tensorflow 2.0

  • Training with new picture from iobroker users
  • Removal of standalone server - (included in main project)Training of additional digital number (provided from iobroker users)

4.2.0 Current Version - Tensorflow 2.0

  • Training of additional digital number (provided from iobroker users)

4.0.0 Tensorflow 2.0, Pillow

  • Image processing changed to Pillow (remove OpenCV)
  • Usage of Tensorflow 2.0 for training
3.0 Version number skipped due to consistency with other programm part
2.0 Transfer from Node.JS to Python
  • Change Image handling completely to OpenCV-Library
  • Learning with increased ZoomRange (10% --> 40%), learning within one step
1.0 Initial Version