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We first need to change current directory to “/text-detection-ctpn/utils/bbox” using following commands: 1 cd text-detection-ctpn/utils/bbox Now run the following commands to …
Our model was implemented in Caffe framework [17]. 4. Experimental Results and Discussions. We evaluate the CTPN on five text detection benchmarks, namely the ICDAR 2011 [21], ICDAR …
The CTPN detects a text line in a sequence of fine-scale text proposals directly in convolutional feature maps. We develop a vertical anchor …
After Caffe is set up, you need to download a trained model (about 78M) from Google Drive or our website, and then populate it into directory models. The model's name should be ctpn_trained_model.caffemodel. Now, be sure you are in the root directory of the codes. Run make to compile some cython files. Run python tools/demo.py for a demo.
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caffe_model_prototxt fpn_faster_rcnn_resnet101. GitHub Gist: instantly share code, notes, and snippets.
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CTPN uses a pretrained VGG16 model shown above. The algorithm takes the output from the last convolutional maps. And the output feature size depends on the size of the input images. Also during the training of the CTPN …
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