WebSep 3, 2015 · String image2Text (String imagePath) { dataPath= Environment.getExternalStorageDirectory ().toString () + "/Android/data/" + appContext.getPackageName () + "/"; File tessdata = new File (dataPath); if (!tessdata.exists () !tessdata.isDirectory ()) { throw new IllegalArgumentException … WebJul 1, 2016 · 1 Answer Sorted by: 3 The problem is that android.resource:// is not a valid way to access resources in your app's res/raw/ folder, so the error message you see is being caused by the invalid path. Try moving your files to assets/ and using AssetManager to copy the files to your device instead. Share Improve this answer Follow
ocr - Get path of data directory(android) - Stack Overflow
WebJun 6, 2024 · liyujiang-gzu changed the title getSDPath方法是有问题的,奔溃 奔溃:java.lang.IllegalArgumentException: Data path must contain subfolder tessdata! Jun 7, 2024. Copy link Author. liyujiang-gzu commented Jun 7, 2024. WebMar 16, 2024 · 简单的用法其实就几行代码:. TessBaseAPI tessBaseAPI = new TessBaseAPI(); tessBaseAPI.init(DATAPATH, DEFAULT_LANGUAGE); tessBaseAPI.setImage(bitmap); String text = tessBaseAPI.getUTF8Text(); 就这样简单的把一个bitmap设置进去,就能识别到里面的文字并输出了。. 但是真正用的时候还是遇到了 … in a candle songs
android - ".SO" file for Tesseract OCR - Stack Overflow
WebDec 21, 2014 · public class TessOCR { private TessBaseAPI mTess; public TessOCR() { // TODO Auto-generated constructor stub mTess = new TessBaseAPI(); String datapath = … WebApr 4, 2012 · Worked for me when I removed "tessdata" from the path. Before (fail): path = "/mnt/sdcard/tesseract/tessdata"; After (success): path = "/mnt/sdcard/tesseract/"; Then, baseApi.init (path, "eng") worked with no exceptions. Of course, tessdata folder should be in the path with the desired.traineddata file. Share Improve this answer Follow WebMay 17, 2024 · I am using a fine-tuned traineddata file (from tessdata_best). But its' speed is lot slower than tessdata (legacy+LSTM) or tessdata_fast. Now, is there any way to make the fine-tuned traineddata file faster, by sacrificing slight accuracy? Can we possibly reduce some of the layers of LSTM model? Any suggestions would be great. in a can drink