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Updated GSoC_2018 (markdown)
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@ -206,7 +206,8 @@ Improving [DNN module](https://github.com/opencv/opencv_contrib/tree/master/modu
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#### 2c. Reading ONNX
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- Implement ONNX format parser. We already support Caffe 1 (with various extensions), TF, Torch and part of Darknet. Adding yet another parser is time-consuming but quite straight-forward thing.
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We have found a good reference [starting point for this project here](https://github.com/lcskrishna/onnx-parser). Basically, we need to parse this network structure and fill out the DNN data structures that come with a download of OpenCV. There are several people working on DNN right now, so one of them will mentor this through to finish.
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- We have found a good reference [starting point for this project here](https://github.com/lcskrishna/onnx-parser).
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- Basically, we need to parse this network structure and fill out the DNN data structures that come with a download of OpenCV. There are several people working on DNN right now, so one of them will mentor this through to finish.
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### 3a. Add April Tags to OpenCV, show examples of calibration using them
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[April Tags](http://people.csail.mit.edu/kaess/apriltags/)
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