Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
WARNING: Logging before InitGoogleLogging() is written to STDERR
W0805 10:26:38.720525 3101 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface
W0805 10:26:38.720546 3101 _caffe.cpp:140] Use this instead (with the named "weights" parameter):
W0805 10:26:38.720549 3101 _caffe.cpp:142] Net('/home/xuy/桌面/code/python/caffe/Bag_gender_hair_classification/DenseNet_deploy_161.prot
If some the text in an image is to small, it is excluded from the training by this piece of code: if min(poly_h, poly_w) < FLAGS.min_text_size: cv2.fillPoly(overly_small_text_region_training_mask, poly.astype(np.int32)[np.newaxis, :, :], 0)
However, the same text is excluded also if "tag" is true. WHY?
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if tag:
cv2.fillPoly(overly_small_text_region_trainin
This is a c++ project deploying a deep scene text reading pipeline with tensorflow. It reads text from natural scene images. It uses frozen tensorflow graphs. The detector detect scene text locations. The recognizer reads word from each detected bounding box.
This repository contains the codes and instructions to use the trained models for all the four datasets described in the paper : 'Script Identification in Natural Scene Image and Video Frame using Attention based Convolutional-LSTM Network'
Code for generating synthetic text images in Indic languages. Based on "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
WARNING: Logging before InitGoogleLogging() is written to STDERR
W0805 10:26:38.720525 3101 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface
W0805 10:26:38.720546 3101 _caffe.cpp:140] Use this instead (with the named "weights" parameter):
W0805 10:26:38.720549 3101 _caffe.cpp:142] Net('/home/xuy/桌面/code/python/caffe/Bag_gender_hair_classification/DenseNet_deploy_161.prot