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.gitignore

@@ -88,3 +88,4 @@ ENV/
 
 # Rope project settings
 .ropeproject
+data/

README.md

@@ -1,4 +1,33 @@
 # SynthText
+This a modified version of [Ankush's code](https://github.com/ankush-me/SynthText) for generating synthetic text images which support right-to-left languages such as Persian and Arabic.
+
+As in Persian and Arabic, words are made using connected letters, this code only outputs the word level bounding boxes. 
+
+**A sample output of the code**
+![Persian Synthetic Scene-Text Samples](sample_fa.png "Persian Synthetic Samples")
+
+## Install the necessary libs and create a conda environment
+First install the `fribidi` library
+
+```
+sudo apt install libfribidi-dev
+```
+
+Then create a conda environment from the `environment.yml` file:
+
+```
+conda env create -f environment.yml
+```
+
+Activate the environment with the following command:
+
+```
+conda activate gentext
+```
+
+The rest of the README is from the original repository
+------------------
+
 Code for generating synthetic text images as described in ["Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016](http://www.robots.ox.ac.uk/~vgg/data/scenetext/).
 
 

colorize3_poisson.py

@@ -17,6 +17,11 @@ def sample_weighted(p_dict):
     ps = p_dict.keys()
     return ps[np.random.choice(len(ps),p=p_dict.values())]
 
+def rgb_color_diff_in_gray(col1, col2):
+    gray1 = col1[0]*0.299 + col1[1]*0.587 + col1[2]*0.114
+    gray2 = col2[0]*0.299 + col2[1]*0.587 + col2[2]*0.114
+    return abs(gray1 - gray2)
+
 class Layer(object):
 
     def __init__(self,alpha,color):
@@ -45,6 +50,7 @@ def __init__(self,alpha,color):
 class FontColor(object):
 
     def __init__(self, col_file):
+        self.gray_diff_threshold = 25
         with open(col_file,'rb') as f:
             #self.colorsRGB = cp.load(f)
             u = pickle._Unpickler(f)
@@ -90,10 +96,25 @@ def sample_from_data(self, bg_mat):
         col1 = self.sample_normal(data_col[:3],data_col[3:6])
         col2 = self.sample_normal(data_col[6:9],data_col[9:12])
 
+        ## fix as follows
+        true_bg_col = np.mean(np.mean(bg_orig, axis=0), axis=0)
         if nn < self.ncol:
+            fg_col = col2
+            diff = rgb_color_diff_in_gray(fg_col, true_bg_col)
+            while diff < self.gray_diff_threshold:
+                #print 'change color'
+                fg_col = np.random.choice(256, 3).astype('uint8')
+                diff = rgb_color_diff_in_gray(fg_col, true_bg_col)
+            col2 = fg_col
             return (col2, col1)
         else:
             # need to swap to make the second color close to the input backgroun color
+            fg_col = col1
+            diff = rgb_color_diff_in_gray(fg_col, true_bg_col)
+            while diff < self.gray_diff_threshold:
+                fg_col = np.random.choice(256, 3).astype('uint8')
+                diff = rgb_color_diff_in_gray(fg_col, true_bg_col)
+            col1 = fg_col
             return (col1, col2)
 
     def mean_color(self, arr):

environment.yml

@@ -0,0 +1,69 @@
+name: gentext
+channels:
+  - defaults
+dependencies:
+  - _libgcc_mutex=0.1=main
+  - blas=1.0=mkl
+  - bzip2=1.0.6=h14c3975_5
+  - ca-certificates=2019.5.15=0
+  - cairo=1.14.12=h8948797_3
+  - certifi=2019.6.16=py36_0
+  - ffmpeg=4.0=hcdf2ecd_0
+  - fontconfig=2.13.0=h9420a91_0
+  - freeglut=3.0.0=hf484d3e_5
+  - freetype=2.9.1=h8a8886c_1
+  - glib=2.56.2=hd408876_0
+  - graphite2=1.3.13=h23475e2_0
+  - harfbuzz=1.8.8=hffaf4a1_0
+  - hdf5=1.10.2=hba1933b_1
+  - icu=58.2=h9c2bf20_1
+  - intel-openmp=2019.4=243
+  - jasper=2.0.14=h07fcdf6_1
+  - jpeg=9b=h024ee3a_2
+  - libedit=3.1.20181209=hc058e9b_0
+  - libffi=3.2.1=hd88cf55_4
+  - libgcc-ng=8.2.0=hdf63c60_1
+  - libgfortran-ng=7.3.0=hdf63c60_0
+  - libglu=9.0.0=hf484d3e_1
+  - libopencv=3.4.2=hb342d67_1
+  - libopus=1.3=h7b6447c_0
+  - libpng=1.6.37=hbc83047_0
+  - libstdcxx-ng=8.2.0=hdf63c60_1
+  - libtiff=4.0.10=h2733197_2
+  - libuuid=1.0.3=h1bed415_2
+  - libvpx=1.7.0=h439df22_0
+  - libxcb=1.13=h1bed415_1
+  - libxml2=2.9.9=hea5a465_1
+  - mkl=2019.4=243
+  - mkl_fft=1.0.12=py36ha843d7b_0
+  - mkl_random=1.0.2=py36hd81dba3_0
+  - ncurses=6.1=he6710b0_1
+  - opencv=3.4.2=py36h6fd60c2_1
+  - openssl=1.0.2s=h7b6447c_0
+  - pcre=8.43=he6710b0_0
+  - pip=19.0.3=py36_0
+  - pixman=0.38.0=h7b6447c_0
+  - py-opencv=3.4.2=py36hb342d67_1
+  - python=3.6.5=hc3d631a_2
+  - readline=7.0=h7b6447c_5
+  - setuptools=40.8.0=py36_0
+  - sqlite=3.26.0=h7b6447c_0
+  - tk=8.6.8=hbc83047_0
+  - wheel=0.33.1=py36_0
+  - xz=5.2.4=h14c3975_4
+  - zlib=1.2.11=h7b6447c_3
+  - zstd=1.3.7=h0b5b093_0
+  - pip:
+    - cycler==0.10.0
+    - h5py==2.7.1
+    - matplotlib==2.1.1
+    - numpy==1.16.4
+    - pillow==5.0.0
+    - pygame==1.9.3
+    - pyparsing==2.2.0
+    - python-dateutil==2.6.1
+    - pytz==2017.3
+    - scapy==2.4.2
+    - scipy==1.0.0
+    - wget==3.2
+