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what is the change of dnn module in opencv4.1?

asked 2019-04-17 00:34:31 -0600

lunasdejavu gravatar image

updated 2019-04-19 00:53:38 -0600

dkurt gravatar image

the changlog of opencv 4.1 : New networks from TensorFlow Object Detection API: Faster-RCNNs, SSDs and Mask-RCNN with dilated convolutions, FPN SSD but I remember opencv 4.0.0 can use these models since I have tried faster-RCNNs and Mask-RCNN so what is the difference?

The second question is that is any other way to read the model is not from tensorflow-object detection api now? like this custom MaskRCNN?

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answered 2019-04-17 01:29:42 -0600

dkurt gravatar image

updated 2019-04-17 01:30:13 -0600

with dilated convolutions

So the models are

faster_rcnn_inception_resnet_v2_atrous_coco
mask_rcnn_resnet101_atrous_coco
mask_rcnn_resnet50_atrous_coco

and other models with atrous prefix.

The second question is that is any other way to read the model is not from tensorflow-object detection api now? like this custom MaskRCNN(https://github.com/matterpor...

Only Mask R-CNN from TensorFlow Object Detection API is supported for now (according https://github.com/opencv/opencv/wiki...). But we're welcome for contribution if you can find a way to properly import this model (perhaps using the same text graphs representation approach).

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thanks a lot! May ask you how cv:dnn to read the model from text graphs? I know how to use it but I don't know where can I find the whole source code.

lunasdejavu gravatar imagelunasdejavu ( 2019-04-17 05:13:08 -0600 )edit

@lunasdejavu, It's a text version of binary .pb files. They are serialized with protobuf. I think you can use existing .pbtxt files for reference.

dkurt gravatar imagedkurt ( 2019-04-17 06:27:40 -0600 )edit

I know I have used it several times. Since I need to read the custom model, I have to write the readNetfromTensorflow() on my own, can you tell me how to do it?

lunasdejavu gravatar imagelunasdejavu ( 2019-04-18 20:22:40 -0600 )edit

@lunasdejavu, feel free to open a feature request at https://github.com/opencv/opencv/issues. It might be a complicated task due TensorFlow represents graphs using low-level nodes such Add, Mul etc. And it's required to apply some graph transformations depends on it's type (for now we can process SSDs, Faster R-CNNs and Mask R-CNNs from TF OD API but there are different scripts for each of them).

dkurt gravatar imagedkurt ( 2019-04-19 01:00:15 -0600 )edit

@dkurt what if I use pytorch instead of tensorflow? I thought readNetfromTorch only need the model file so that I can just use any customized model I want?

lunasdejavu gravatar imagelunasdejavu ( 2019-05-07 20:48:05 -0600 )edit

PyTorch model should be converted to ONNX. Use cv::dnn::readNet or readNetFromONNX

dkurt gravatar imagedkurt ( 2019-05-07 23:15:11 -0600 )edit

@dkurt then what is cv.dnn.readNetFromTorch for? what kind of models can be read by it?

lunasdejavu gravatar imagelunasdejavu ( 2019-05-08 00:09:03 -0600 )edit
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Please use a documentation: https://docs.opencv.org/master/d6/d0f...

dkurt gravatar imagedkurt ( 2019-05-08 23:01:04 -0600 )edit

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Asked: 2019-04-17 00:34:31 -0600

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Last updated: Apr 19 '19