 | 1 | initial version |
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(https://github.com/matterport/Mask_RCNN)?
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(https://github.com/matterport/Mask_RCNN)?MaskRCNN?
