Reading meters with tensorflow
1
$begingroup$
I'm new to ML world and been reading about ML and TensorFlow.
My goal is to read the following example in real time with Android phone:
So I tried firebase ML OCR and it works really good, it reads the complete value but it does not read the decimal point and also reads a lot of the surrounding text.
So my idea is that I should first detect black and red bounding boxes and then detect individual numbers inside
- is this the right way to go? How would I accomplish this?
- Also how do you use two kinds of a model, one to extract a part of the image (black and red bounding areas) and then pass them to OCR model?
- What about last digit which can always be in between two numbers (example: 1 and 2)?
machine-learning tensorflow ocr
asked yesterday
dfilkovidfilkovi
1061
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dfilkovi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
1
$begingroup$
I'm new to ML world and been reading about ML and TensorFlow.
My goal is to read the following example in real time with Android phone:
So I tried firebase ML OCR and it works really good, it reads the complete value but it does not read the decimal point and also reads a lot of the surrounding text.
So my idea is that I should first detect black and red bounding boxes and then detect individual numbers inside
- is this the right way to go? How would I accomplish this?
- Also how do you use two kinds of a model, one to extract a part of the image (black and red bounding areas) and then pass them to OCR model?
- What about last digit which can always be in between two numbers (example: 1 and 2)?
machine-learning tensorflow ocr
asked yesterday
dfilkovidfilkovi
1061
New contributor
dfilkovi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
1
1
1
$begingroup$
I'm new to ML world and been reading about ML and TensorFlow.
My goal is to read the following example in real time with Android phone:
So I tried firebase ML OCR and it works really good, it reads the complete value but it does not read the decimal point and also reads a lot of the surrounding text.
So my idea is that I should first detect black and red bounding boxes and then detect individual numbers inside
- is this the right way to go? How would I accomplish this?
- Also how do you use two kinds of a model, one to extract a part of the image (black and red bounding areas) and then pass them to OCR model?
- What about last digit which can always be in between two numbers (example: 1 and 2)?
machine-learning tensorflow ocr
asked yesterday
dfilkovidfilkovi
1061
New contributor
dfilkovi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I'm new to ML world and been reading about ML and TensorFlow.
My goal is to read the following example in real time with Android phone:
So I tried firebase ML OCR and it works really good, it reads the complete value but it does not read the decimal point and also reads a lot of the surrounding text.
So my idea is that I should first detect black and red bounding boxes and then detect individual numbers inside
- is this the right way to go? How would I accomplish this?
- Also how do you use two kinds of a model, one to extract a part of the image (black and red bounding areas) and then pass them to OCR model?
- What about last digit which can always be in between two numbers (example: 1 and 2)?
machine-learning tensorflow ocr
machine-learning tensorflow ocr
asked yesterday
dfilkovidfilkovi
1061
New contributor
dfilkovi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
dfilkovidfilkovi
1061
New contributor
dfilkovi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
dfilkovidfilkovi
1061
New contributor
dfilkovi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
dfilkovidfilkovi
1061
asked yesterday
dfilkovidfilkovi
1061
1061
New contributor
dfilkovi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
dfilkovi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
dfilkovi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
1 Answer
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$begingroup$
Two options :
- Use pre-built libraries for OCR + Bounding Box detection (E.g.: https://www.pyimagesearch.com/2018/08/20/opencv-text-detection-east-text-detector/ for Bouding Box detection and then OpenCV / Tessract for OCR)
- Train a Deep learning model for Text Detection in scene . Examples : https://github.com/qjadud1994/CRNN-Keras and https://github.com/mvoelk/ssd_detectors
answered 20 hours ago
Shamit VermaShamit Verma
65016
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1 Answer
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1 Answer
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votes
0
$begingroup$
Two options :
- Use pre-built libraries for OCR + Bounding Box detection (E.g.: https://www.pyimagesearch.com/2018/08/20/opencv-text-detection-east-text-detector/ for Bouding Box detection and then OpenCV / Tessract for OCR)
- Train a Deep learning model for Text Detection in scene . Examples : https://github.com/qjadud1994/CRNN-Keras and https://github.com/mvoelk/ssd_detectors
answered 20 hours ago
Shamit VermaShamit Verma
65016
$endgroup$
add a comment |
0
$begingroup$
Two options :
- Use pre-built libraries for OCR + Bounding Box detection (E.g.: https://www.pyimagesearch.com/2018/08/20/opencv-text-detection-east-text-detector/ for Bouding Box detection and then OpenCV / Tessract for OCR)
- Train a Deep learning model for Text Detection in scene . Examples : https://github.com/qjadud1994/CRNN-Keras and https://github.com/mvoelk/ssd_detectors
answered 20 hours ago
Shamit VermaShamit Verma
65016
$endgroup$
add a comment |
0
0
0
$begingroup$
Two options :
- Use pre-built libraries for OCR + Bounding Box detection (E.g.: https://www.pyimagesearch.com/2018/08/20/opencv-text-detection-east-text-detector/ for Bouding Box detection and then OpenCV / Tessract for OCR)
- Train a Deep learning model for Text Detection in scene . Examples : https://github.com/qjadud1994/CRNN-Keras and https://github.com/mvoelk/ssd_detectors
answered 20 hours ago
Shamit VermaShamit Verma
65016
$endgroup$
Two options :
- Use pre-built libraries for OCR + Bounding Box detection (E.g.: https://www.pyimagesearch.com/2018/08/20/opencv-text-detection-east-text-detector/ for Bouding Box detection and then OpenCV / Tessract for OCR)
- Train a Deep learning model for Text Detection in scene . Examples : https://github.com/qjadud1994/CRNN-Keras and https://github.com/mvoelk/ssd_detectors
answered 20 hours ago
Shamit VermaShamit Verma
65016
answered 20 hours ago
Shamit VermaShamit Verma
65016
answered 20 hours ago
Shamit VermaShamit Verma
65016
answered 20 hours ago
Shamit VermaShamit Verma
65016
65016
add a comment |
add a comment |
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