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Google's TensorFlow Object Detection API for Text localisation\n2. CRNN for text Recognition\n3. 2-layered Neural Network for language classification\n*Location is determined by predicted text using Geotext*\n\n### Starting Application\n- *Edit the Image path in main.py*\n```sh\n#Image-Location-Detector/\npython3 main.py\n```\n### Requirements\n-  [Python 3.6]\n-  [TensorFlow 1.2]\n-  [PyTorch]\n-  [OpenCv] - *Either build from source or*\n```sh\nsudo apt-get install python-opencv\n```\n* [Geotext]\n```sh\npip3 install geotext\n```\n### Downloads\n    wget https://www.dropbox.com/s/l0vo83hmvv2aipn/crnn.pth\n\n### Notes\n - Currently `ssd_mobilenet_v1_coco_11_06_2017` model is being used - *boundry box prediction for text detection will be poor*\n - Try to build your own custom dataset using `labelImg`\n\n### Todos \n - Train custom dataset for Text detection \n - [Notes on generating custom dataset](http://androidkt.com/train-object-detection/)\n\n### Refrences\n - https://github.com/AKSHAYUBHAT/DeepVideoAnalytics/tree/master/notebooks/OCR\n - https://github.com/datitran/object_detector_app\n\n![alt text](https://raw.githubusercontent.com/manish7294/Image-Location-Detector/master/Screenshot%20from%202017-10-28%2010-37-42.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmanish7294%2Fregional-language-detector","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmanish7294%2Fregional-language-detector","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmanish7294%2Fregional-language-detector/lists"}