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| - 15 September 2022 - Version 1.6.2 | ||
| - Add CPU support for DBnet | ||
| - DBNet will only be compiled when users initialize DBnet detector. | ||
| - Add CPU support for DBnet | ||
| - DBNet will only be compiled when users initialize DBnet detector. | ||
| - 1 September 2022 - Version 1.6.1 | ||
| - Fix DBNet path bug for Windows | ||
| - Add new built-in model `cyrillic_g2`. This model is a new default for Cyrillic script. (partial financial support by Alejandro Cabrerizo) | ||
| - Fix DBNet path bug for Windows | ||
| - Add new built-in model `cyrillic_g2`. This model is a new default for Cyrillic script. (partial financial support by Alejandro Cabrerizo) | ||
| - 24 August 2022 - Version 1.6.0 | ||
| - Restructure code to support alternative text detectors. | ||
| - Add detector `DBNet`, see [paper](https://arxiv.org/abs/2202.10304v1). It can be used by initializing like this `reader = easyocr.Reader(['en'], detect_network = 'dbnet18')`. *Currently, DBNet text detector requires running with GPU.* | ||
| - Restructure code to support alternative text detectors. | ||
| - Add detector `DBNet`, see [paper](https://arxiv.org/abs/2202.10304v1). It can be used by initializing like this `reader = easyocr.Reader(['en'], detect_network = 'dbnet18')`. *Currently, DBNet text detector requires running with GPU.* | ||
| - 2 June 2022 - Version 1.5.0 | ||
| - Add trainer for CRAFT detection model (thanks[@gmuffiness](https://github.com/gmuffiness), see [PR](https://github.com/JaidedAI/EasyOCR/pull/739)) | ||
| - Add trainer for CRAFT detection model (thanks[@gmuffiness](https://github.com/gmuffiness), see [PR](https://github.com/JaidedAI/EasyOCR/pull/739)) | ||
| - 9 April 2022 - Version 1.4.2 | ||
| - Update dependencies (opencv and pillow issues) | ||
| - Update dependencies (opencv and pillow issues) | ||
| - 11 September 2021 - Version 1.4.1 | ||
| - Add trainer folder | ||
| - Add `readtextlang` method (thanks[@arkya-art](https://github.com/arkya-art), see [PR](https://github.com/JaidedAI/EasyOCR/pull/525)) | ||
| - Extend `rotation_info` argument to support all possible angle (thanks[abde0103](https://github.com/abde0103), see [PR](https://github.com/JaidedAI/EasyOCR/pull/515)) | ||
| - Add trainer folder | ||
| - Add `readtextlang` method (thanks[@arkya-art](https://github.com/arkya-art), see [PR](https://github.com/JaidedAI/EasyOCR/pull/525)) | ||
| - Extend `rotation_info` argument to support all possible angle (thanks[abde0103](https://github.com/abde0103), see [PR](https://github.com/JaidedAI/EasyOCR/pull/515)) | ||
| - 29 June 2021 - Version 1.4 | ||
| - [Instruction](https://github.com/JaidedAI/EasyOCR/blob/master/custom_model.md) on training/using custom recognition model | ||
| - [Example dataset](https://www.jaided.ai/easyocr/modelhub) | ||
| - Batched image inference for GPU (thanks [@SamSamhuns](https://github.com/SamSamhuns), see [PR](https://github.com/JaidedAI/EasyOCR/pull/458)) | ||
| - Vertical text support (thanks [@interactivetech](https://github.com/interactivetech)). This is for rotated text, not to be confused with vertical Chinese or Japanese text. (see [PR](https://github.com/JaidedAI/EasyOCR/pull/450)) | ||
| - Output in dictionary format (thanks [@A2va](https://github.com/A2va), see [PR](https://github.com/JaidedAI/EasyOCR/pull/441)) | ||
| - [Instruction](https://github.com/JaidedAI/EasyOCR/blob/master/custom_model.md) on training/using custom recognition model | ||
| - [Example dataset](https://www.jaided.ai/easyocr/modelhub) | ||
| - Batched image inference for GPU (thanks [@SamSamhuns](https://github.com/SamSamhuns), see [PR](https://github.com/JaidedAI/EasyOCR/pull/458)) | ||
| - Vertical text support (thanks [@interactivetech](https://github.com/interactivetech)). This is for rotated text, not to be confused with vertical Chinese or Japanese text. (see [PR](https://github.com/JaidedAI/EasyOCR/pull/450)) | ||
| - Output in dictionary format (thanks [@A2va](https://github.com/A2va), see [PR](https://github.com/JaidedAI/EasyOCR/pull/441)) | ||
| - 30 May 2021 - Version 1.3.2 | ||
| - Faster greedy decoder (thanks [@samayala22](https://github.com/samayala22)) | ||
| - Fix bug when text box's aspect ratio is disproportional (thanks [iQuartic](https://iquartic.com/) for bug report) | ||
| - Faster greedy decoder (thanks [@samayala22](https://github.com/samayala22)) | ||
| - Fix bug when text box's aspect ratio is disproportional (thanks [iQuartic](https://iquartic.com/) for bug report) | ||
| - 20 April 2021 - Version 1.3.1 | ||
| - Add support for PIL image (thanks [@prays](https://github.com/prays)) | ||
| - Add Tajik language (tjk) | ||
| - Update argument setting for command line | ||
| - Add `x_ths` and `y_ths` to control merging behavior when `paragraph=True` | ||
| - Add support for PIL image (thanks [@prays](https://github.com/prays)) | ||
| - Add Tajik language (tjk) | ||
| - Update argument setting for command line | ||
| - Add `x_ths` and `y_ths` to control merging behavior when `paragraph=True` | ||
| - 21 March 2021 - Version 1.3 | ||
| - Second-generation models: multiple times smaller size, multiple times faster inference, additional characters, comparable accuracy to the first generation models. | ||
| - Second-generation models: multiple times smaller size, multiple times faster inference, additional characters, comparable accuracy to the first generation models. | ||
| EasyOCR will choose the latest model by default but you can also specify which model to use by passing `recog_network` argument when creating `Reader` instance. | ||
| For example, `reader = easyocr.Reader(['en','fr'], recog_network = 'latin_g1')` will use the 1st generation Latin model. | ||
| - List of all models: [Model hub](https://www.jaided.ai/easyocr/modelhub) | ||
| - List of all models: [Model hub](https://www.jaided.ai/easyocr/modelhub) | ||
| - 22 February 2021 - Version 1.2.5 | ||
| - Add dynamic quantization for faster CPU inference (it is enabled by default for CPU mode) | ||
| - More sensible confident score | ||
| - Add dynamic quantization for faster CPU inference (it is enabled by default for CPU mode) | ||
| - More sensible confident score | ||
| - 7 February 2021 - Version 1.2.4 | ||
| - Faster CPU inference speed by using dynamic input shape (recognition rate increases by around 100% for images with a lot of text) | ||
| - Faster CPU inference speed by using dynamic input shape (recognition rate increases by around 100% for images with a lot of text) | ||
| - 1 February 2021 - Version 1.2.3 | ||
| - Add `setLanguageList` method to `Reader` class. This is a convenient api for changing languages (within the same model) after creating class instance. | ||
| - Small change on text box merging. (thanks [z-pc](https://github.com/z-pc), see [PR](https://github.com/JaidedAI/EasyOCR/pull/338)) | ||
| - [Basic Demo on website](https://www.jaided.ai/easyocr) | ||
| - Add `setLanguageList` method to `Reader` class. This is a convenient api for changing languages (within the same model) after creating class instance. | ||
| - Small change on text box merging. (thanks [z-pc](https://github.com/z-pc), see [PR](https://github.com/JaidedAI/EasyOCR/pull/338)) | ||
| - [Basic Demo on website](https://www.jaided.ai/easyocr) | ||
| - 5 January 2021 - Version 1.2.2 | ||
| - Add `optimal_num_chars` to `detect` method. If specified, bounding boxes with estimated number of characters near this value are returned first. (thanks [@adamfrees](https://github.com/adamfrees)) | ||
| - Add `rotation_info` to `readtext` method. Allow EasyOCR to rotate each text box and return the one with the best confident score. Eligible values are 90, 180 and 270. For example, try [90, 180 ,270] for all possible text orientations. (thanks [@mijoo308](https://github.com/mijoo308)) | ||
| - Update [documentation](https://www.jaided.ai/easyocr/documentation). | ||
| - Add `optimal_num_chars` to `detect` method. If specified, bounding boxes with estimated number of characters near this value are returned first. (thanks [@adamfrees](https://github.com/adamfrees)) | ||
| - Add `rotation_info` to `readtext` method. Allow EasyOCR to rotate each text box and return the one with the best confident score. Eligible values are 90, 180 and 270. For example, try [90, 180 ,270] for all possible text orientations. (thanks [@mijoo308](https://github.com/mijoo308)) | ||
| - Update [documentation](https://www.jaided.ai/easyocr/documentation). | ||
| - 24 November 2020 - Version 1.2.1 | ||
| - Preparation for user-created models | ||
| - Preparation for user-created models | ||
| - 17 November 2020 - Version 1.2 | ||
| - New language supports for Telugu and Kannada. These are experimental lite recognition models. Their file sizes are only around 7% of other models and they are ~6x faster at inference with CPU. | ||
| - New language supports for Telugu and Kannada. These are experimental lite recognition models. Their file sizes are only around 7% of other models and they are ~6x faster at inference with CPU. | ||
| - 12 October 2020 - Version 1.1.10 | ||
| - Faster beamsearch decoder (thanks @amitbcp) | ||
| - Better code structure (thanks @susmith98) | ||
| - New language supports for Haryanvi, Sanskrit (Devanagari Script) and Manipuri (Bengari script) | ||
| - Faster beamsearch decoder (thanks @amitbcp) | ||
| - Better code structure (thanks @susmith98) | ||
| - New language supports for Haryanvi, Sanskrit (Devanagari Script) and Manipuri (Bengari script) | ||
| - 31 August 2020 - Version 1.1.9 | ||
| - Add `detect` and `recognize` method for performing text detection and recognition separately | ||
| - Add `detect` and `recognize` method for performing text detection and recognition separately | ||
| - 23 August 2020 - Version 1.1.8 | ||
| - 20 new language supports for Bengali, Assamese, Abaza, Adyghe, Kabardian, Avar, | ||
| - 20 new language supports for Bengali, Assamese, Abaza, Adyghe, Kabardian, Avar, | ||
| Dargwa, Ingush, Chechen, Lak, Lezgian, Tabassaran, Bihari, Maithili, Angika, | ||
| Bhojpuri, Magahi, Nagpuri, Newari, Goan Konkani | ||
| - Support RGBA input format | ||
| - Add `min_size` argument for `readtext`: for filtering out small text box | ||
| - Support RGBA input format | ||
| - Add `min_size` argument for `readtext`: for filtering out small text box | ||
| - 10 August 2020 - Version 1.1.7 | ||
| - New language support for Tamil | ||
| - Temporary fix for memory leakage on CPU mode | ||
| - New language support for Tamil | ||
| - Temporary fix for memory leakage on CPU mode | ||
| - 4 August 2020 - Version 1.1.6 | ||
| - New language support for Russian, Serbian, Belarusian, Bulgarian, Mongolian, Ukranian (Cyrillic Script) and Arabic, Persian(Farsi), Urdu, Uyghur (Arabic Script) | ||
| - Docker file and Ainize demo (thanks @ghandic and @Wook-2) | ||
| - Better production friendly with Logger and custom model folder location (By setting ` model_storage_directory` when create `Reader` instance) (thanks @jpotter) | ||
| - Model files are now downloaded from github's releases | ||
| - readtext can now accept grayscale image | ||
| - New language support for Russian, Serbian, Belarusian, Bulgarian, Mongolian, Ukranian (Cyrillic Script) and Arabic, Persian(Farsi), Urdu, Uyghur (Arabic Script) | ||
| - Docker file and Ainize demo (thanks @ghandic and @Wook-2) | ||
| - Better production friendly with Logger and custom model folder location (By setting `model_storage_directory` when create `Reader` instance) (thanks @jpotter) | ||
| - Model files are now downloaded from github's releases | ||
| - readtext can now accept grayscale image | ||
| - 24 July 2020 - Version 1.1.5 | ||
| - New language support for Hindi, Marathi, Nepali (Devanagari Script) | ||
| - Automatic word merging into paragraph (Use this feature by setting `readtext`'s parameter `'paragraph' = True`) | ||
| - New language support for Hindi, Marathi, Nepali (Devanagari Script) | ||
| - Automatic word merging into paragraph (Use this feature by setting `readtext`'s parameter `'paragraph' = True`) |