Did you use https://github.com/clovaai/synthtiger before?

[nissansz]

I tested performance for single line and single image generation, 20 lines, result as before, pure pillow, about 2s synthtiger: 40s

I wonder how to improve speed for synthtiger, not considering worker number.

[nissansz]

    6090675 function calls (6043707 primitive calls) in 72.690 seconds

Ordered by: internal time

ncalls tottime percall cumtime percall filename:lineno(function) 2892831 34.393 0.000 34.393 0.000 {floodFill} 104 10.388 0.100 46.299 0.445 template_cnjpkr_str.py:295(_check_visibility) 2284 2.987 0.001 2.987 0.001 {method 'getsize' of 'FontFamily' objects} 17726 2.218 0.000 2.218 0.000 {method 'astype' of 'numpy.ndarray' objects} 115572/77434 1.928 0.000 5.748 0.000 {built-in method numpy.core._multiarray_umath.implement_array_function} 150664 1.924 0.000 2.687 0.000 {built-in method numpy.array} 181 1.322 0.007 1.322 0.007 {method 'round' of 'numpy.ndarray' objects} 4434 0.745 0.000 0.745 0.000 {built-in method PIL._imaging.alpha_composite} 6 0.618 0.103 0.789 0.132 blending_functions.py:518(hard_light) 4118 0.557 0.000 4.356 0.001 image_util.py:32(paste_image) 286 0.534 0.002 0.534 0.002 {method 'decode' of 'ImagingDecoder' objects} 1910 0.500 0.000 0.500 0.000 {built-in method PIL._imagingft.getfont} 13686 0.490 0.000 0.491 0.000 {built-in method builtins.max} 4475 0.484 0.000 0.484 0.000 {built-in method builtins.min} 9 0.456 0.051 0.634 0.070 blending_functions.py:139(soft_light) 9 0.451 0.050 0.587 0.065 blending_functions.py:839(overlay) 1329 0.449 0.000 0.449 0.000 {method 'render' of 'FontFamily' objects} 955 0.419 0.000 0.419 0.000 {built-in method PIL._imagingft.getfamily} 141 0.413 0.003 0.413 0.003 {method 'repeat' of 'numpy.ndarray' objects} 54 0.385 0.007 1.911 0.035 arithmetic.py:264(_add_elementwise_to_uint8) 1974 0.378 0.000 0.378 0.000 {warpPerspective} 95 0.358 0.004 0.360 0.004 blending_functions.py:61(_compose_alpha) 16109 0.333 0.000 0.333 0.000 {method 'encode' of 'ImagingEncoder' objects} 54 0.324 0.006 0.324 0.006 {method 'normal' of 'numpy.random._generator.Generator' objects} 41720 0.321 0.000 0.321 0.000 {method 'reduce' of 'numpy.ufunc' objects} 4529 0.320 0.000 8.439 0.002 image_util.py:126(blend_image) 108 0.306 0.003 0.601 0.006 image_util.py:262(to_rgb) 10 0.259 0.026 0.405 0.040 blending_functions.py:786(divide) 95 0.218 0.002 0.218 0.002 ufunclike.py:127(isposinf) 43 0.214 0.005 1.001 0.023 gray.py:38(apply) 151 0.210 0.001 0.211 0.001 {method 'permutation' of 'numpy.random.mtrand.RandomState' objects} 16614 0.210 0.000 0.210 0.000 _methods.py:106(_clip_dep_invoke_with_casting) 9 0.208 0.023 0.359 0.040 blending_functions.py:306(dodge) 16 0.207 0.013 0.207 0.013 {method 'convert' of 'ImagingCore' objects} 11 0.206 0.019 0.418 0.038 blending_functions.py:412(darken_only) 5417 0.206 0.000 0.206 0.000 {method 'join' of 'bytes' objects} 955 0.184 0.000 0.184 0.000 {remap} 6 0.182 0.030 0.300 0.050 blending_functions.py:253(screen) 95 0.173 0.002 0.173 0.002 ufunclike.py:199(isneginf) 1952 0.166 0.000 0.166 0.000 {GaussianBlur} 11 0.161 0.015 0.362 0.033 blending_functions.py:359(addition) 8 0.156 0.020 0.339 0.042 blending_functions.py:465(multiply) 7 0.149 0.021 0.300 0.043 blending_functions.py:575(difference) 9 0.148 0.016 0.302 0.034 blending_functions.py:200(lighten_only) 207 0.136 0.001 8.625 0.042 switch.py:38(apply) 23 0.125 0.005 4.905 0.213 template_cnjpkr_str.py:228() 1979 0.124 0.000 0.124 0.000 {method 'nonzero' of 'numpy.ndarray' objects} 20 0.106 0.005 72.551 3.628 template_cnjpkr_str.py:108(generate) 1956 0.097 0.000 1.285 0.001 image_util.py:149(fit_image) 39820 0.096 0.000 0.450 0.000 fromnumeric.py:69(_wrapreduction) 8922 0.088 0.000 0.317 0.000 Image.py:3030(fromarray) 272030 0.088 0.000 0.088 0.000 {built-in method builtins.round} 16 0.081 0.005 1.793 0.112 base_texture.py:75(data) 2448 0.078 0.000 0.098 0.000 image_util.py:13(create_image) 33228 0.077 0.000 0.220 0.000 _methods.py:91(_clip_dep_is_scalar_nan) 16 0.075 0.005 1.712 0.107 base_texture.py:97(_read_texture) 16 0.074 0.005 0.074 0.005 {method 'copy' of 'ImagingCore' objects} 955 0.073 0.000 0.416 0.000 geometric.py:4556(_map_coordinates) 23 0.067 0.003 3.271 0.142 fit.py:16(apply) 27298 0.067 0.000 0.206 0.000 _dtype.py:328(_name_get) 9362 0.065 0.000 0.275 0.000 image_util.py:223(to_bbox) 6081 0.063 0.000 0.063 0.000 {method 'random' of 'numpy.random._generator.Generator' objects} 1955 0.062 0.000 0.442 0.000 blur.py:30(blurgaussian) 5405 0.062 0.000 0.756 0.000 Image.py:687(array_interface) 2105 0.062 0.000 3.458 0.002 layer.py:50(output) 16614 0.055 0.000 0.515 0.000 _methods.py:125(_clip) 955 0.053 0.000 0.529 0.001 geometric.py:4524(_generate_shift_maps) 23 0.052 0.002 51.403 2.235 template_cnjpkr_str.py:282(_blend_images) 955 0.051 0.000 4.780 0.005 text_layer.py:15(init) 185802/185200 0.051 0.000 0.083 0.000 {built-in method builtins.isinstance} 47 0.050 0.001 0.050 0.001 {resize} 23247 0.050 0.000 0.074 0.000 Image.py:543(_new) 11206 0.049 0.000 0.049 0.000 {built-in method PIL._imaging.fill} 127 0.049 0.000 0.051 0.000 arraypad.py:86(_pad_simple) 5405 0.049 0.000 0.657 0.000 Image.py:729(tobytes) 95 0.047 0.000 0.629 0.007 type_check.py:404(nan_to_num) 33251 0.047 0.000 0.087 0.000 fromnumeric.py:3164(ndim) 34469 0.042 0.000 0.042 0.000 {built-in method numpy.asarray} 6357 0.042 0.000 0.059 0.000 image_util.py:208(to_quad) 18 0.041 0.002 2.829 0.157 additive_gaussian_noise.py:33(apply) 1329 0.041 0.000 0.041 0.000 {method 'draw_bitmap' of 'ImagingDraw' objects} 8922 0.039 0.000 0.225 0.000 Image.py:2973(frombuffer) 2907 0.039 0.000 0.044 0.000 blur.py:370(_compute_gaussian_blur_ksize) 18 0.037 0.002 0.312 0.017 median_blur.py:30(apply) 9877 0.037 0.000 0.146 0.000 Image.py:2896(new) 1135/1117 0.037 0.000 4.062 0.004 meta.py:553(augmentbatch) 1 0.036 0.036 72.690 72.690 text2png_synthtiger_1line_horizontal_20230814_cprofile.py:229(test) 15 0.036 0.002 0.298 0.020 gussian_blur.py:30(apply) 27573 0.035 0.000 0.085 0.000 numerictypes.py:356(issubdtype) 2979 0.034 0.000 0.089 0.000 dtypes.py:285(gate_dtypes) 19276 0.033 0.000 0.222 0.000 fromnumeric.py:2800(amin) 54 0.032 0.001 0.032 0.001 {medianBlur} 33172 0.032 0.000 0.032 0.000 Image.py:512(init_) 55146 0.031 0.000 0.046 0.000 numerictypes.py:282(issubclass) 19277 0.028 0.000 0.184 0.000 fromnumeric.py:2675(amax) 27298 0.028 0.000 0.111 0.000 _dtype.py:314(_name_includes_bit_suffix) 275 0.028 0.000 0.041 0.000 {method 'choice' of 'numpy.random.mtrand.RandomState' objects} 1933 0.027 0.000 0.035 0.000 stride_tricks.py:339(_broadcast_to) 33251 0.027 0.000 0.143 0.000 <array_function internals>:177(ndim) 320 0.027 0.000 1.054 0.003 layer.py:289(output) 337 0.027 0.000 0.027 0.000 {built-in method nt.stat} 39820 0.026 0.000 0.026 0.000 fromnumeric.py:70() 1117 0.026 0.000 4.099 0.004 meta.py:1689(augment) 16614 0.025 0.000 0.581 0.000 fromnumeric.py:2083(clip) 114571 0.025 0.000 0.027 0.000 {built-in method builtins.issubclass} 20 0.025 0.001 1.335 0.067 template_cnjpkr_str.py:259(_generate_background) 190 0.025 0.000 0.416 0.002 ufunclike.py:48(func) 2013 0.024 0.000 0.024 0.000 {getPerspectiveTransform} 51310 0.024 0.000 0.024 0.000 {built-in method builtins.getattr} 19276 0.024 0.000 0.276 0.000 <array_function internals>:177(amin) 56121 0.024 0.000 0.078 0.000 layer.py:72(quad) 3424 0.024 0.000 0.024 0.000 {built-in method numpy.zeros} 5126 0.023 0.000 0.023 0.000 random.py:1379(_set_generator_statenp117) 33228 0.022 0.000 0.030 0.000 _methods.py:101(_clip_dep_is_byte_swapped) 2823 0.022 0.000 0.121 0.000 layer.py:152(topleft) 5405 0.022 0.000 0.038 0.000 Image.py:248(_conv_type_shape) 13478/6739 0.021 0.000 0.077 0.000 configparser.py:765(get) 8904 0.021 0.000 0.021 0.000 {built-in method PIL._imaging.map_buffer} 5405 0.021 0.000 0.035 0.000 Image.py:417(_getencoder) 212 0.021 0.000 0.111 0.001 rgb.py:43(apply) 18817 0.021 0.000 0.029 0.000 Image.py:2875(_check_size) 19161 0.020 0.000 2.422 0.000 fromnumeric.py:51(_wrapfunc) 1329 0.020 0.000 0.919 0.001 ImageDraw.py:453(draw_text) 19277 0.019 0.000 0.229 0.000 <__array_function internals>:177(amax) 116521/116483 0.019 0.000 0.019 0.000 {built-in method builtins.len} 9362 0.019 0.000 0.307 0.000 layer.py:76(quad) 16614 0.019 0.000 0.534 0.000 {method 'clip' of 'numpy.ndarray' objects} 15276 0.019 0.000 0.026 0.000 Image.py:835(load) 23 0.019 0.001 0.263 0.011 pad.py:57(apply) 1877 0.019 0.000 0.039 0.000 _methods.py:162(_mean) 16614 0.018 0.000 0.622 0.000 <__array_function__ internals>:177(clip) 1910 0.018 0.000 0.524 0.000 ImageFont.py:217(init) 955 0.018 0.000 0.473 0.000 geometric.py:4361(_augment_image_by_samples) 23 0.018 0.001 15.046 0.654 template_cnjpkr_str.py:217(_generate_text) 5126 0.017 0.000 0.017 0.000 random.py:1351(_get_generator_state_np117) 5126/5018 0.017 0.000 0.570 0.000 parameters.py:389(draw_samples) 1329 0.016 0.000 0.856 0.001 ImageFont.py:1059(getmask2) 1117 0.016 0.000 0.125 0.000 batches.py:170(to_normalized_batch) 16 0.016 0.001 2.045 0.128 base_texture.py:64(apply) 2 0.016 0.008 0.608 0.304 text_extrusion.py:60(apply) 22 0.016 0.001 0.365 0.017 flow_layout.py:70(apply) 955 0.015 0.000 1.279 0.001 geometric.py:4308(_augmentbatch) 2118 0.015 0.000 0.015 0.000 {method 'copy' of 'numpy.ndarray' objects} 54 0.015 0.000 0.376 0.007 parameters.py:1074(_draw_samples) 54 0.015 0.000 1.930 0.036 arithmetic.py:207(add_elementwise) 27418 0.015 0.000 0.015 0.000 {method 'format' of 'str' objects} 6357 0.014 0.000 0.087 0.000 layer.py:85(bbox) 5054 0.014 0.000 0.082 0.000 parameters.py:666(_draw_samples) 3097 0.014 0.000 0.285 0.000 layer.py:16(init) 955 0.014 0.000 0.014 0.000 {convertMaps} 955 0.014 0.000 3.694 0.004 text_layer.py:160(_get_image) 13404 0.014 0.000 0.036 0.000 normalization.py:1186(estimate_normalization_type) 107 0.013 0.000 0.013 0.000 {dilate} 986 0.013 0.000 0.064 0.000 layer.py:305() 45 0.013 0.000 0.057 0.001 blur.py:459(_augmentbatch) 18992 0.013 0.000 0.021 0.000 {built-in method _abc._abc_instancecheck} 13404 0.013 0.000 0.018 0.000 normalization.py:1257(_nonempty_info_to_type_str) 7208 0.013 0.000 0.014 0.000 {built-in method builtins.any} 46 0.013 0.000 0.057 0.001 configparser.py:725(read_dict) 686 0.013 0.000 0.040 0.000 image_util.py:248(merge_bbox) 1500 0.012 0.000 0.012 0.000 {method 'randint' of 'numpy.random.mtrand.RandomState' objects} 4434 0.012 0.000 0.785 0.000 Image.py:3296(alpha_composite) 955 0.012 0.000 0.431 0.000 ImageFont.py:893(init) 23388 0.012 0.000 0.033 0.000 layer.py:81(bbox) 913 0.012 0.000 0.068 0.000 layer.py:238(centery) 6702 0.012 0.000 0.020 0.000 normalization.py:12(_preprocess_shapes) 320 0.011 0.000 1.127 0.004 layer.py:298(merge) 6739 0.011 0.000 0.039 0.000 configparser.py:406(_interpolate_some) 20 0.011 0.001 72.654 3.633 text2png_synthtiger_1line_horizontal_20230814_cprofile.py:59(text2png) 4468 0.011 0.000 0.022 0.000 normalization.py:1152(_estimate_polygons_and_line_segments_norm_type) 2099 0.011 0.000 0.017 0.000 batches.py:29(_get_columns) 13478 0.011 0.000 0.016 0.000 configparser.py:1139(_unify_values) 8490 0.010 0.000 0.010 0.000 {built-in method numpy.empty} 955 0.010 0.000 0.192 0.000 geometric.py:4297(_draw_samples) 13478 0.010 0.000 0.010 0.000 init.py:892(getitem) 1944 0.010 0.000 0.010 0.000 {method 'read' of '_io.BufferedReader' objects} 5054 0.010 0.000 0.040 0.000 numeric.py:289(full) 49784 0.010 0.000 0.010 0.000 {method 'append' of 'list' objects} 1117 0.010 0.000 0.071 0.000 batches.py:218(fill_from_augmented_normalizedbatch) 27048 0.010 0.000 0.016 0.000 configparser.py:874(optionxform) 27298 0.009 0.000 0.009 0.000 _dtype.py:24(_kind_name) 986 0.009 0.000 0.070 0.000 image_util.py:231(merge_quad) 5802 0.009 0.000 0.023 0.000 layer.py:148(topleft) 8214 0.009 0.000 0.080 0.000 <__array_function__ internals>:177(copyto) 25 0.009 0.000 0.061 0.002 layer.py:307(quad) 2234 0.009 0.000 0.028 0.000 normalization.py:415(_normalize_polygons_and_line_strings) 6716 0.009 0.000 0.102 0.000 configparser.py:805(_get_conv) 16077 0.009 0.000 0.012 0.000 imgaug.py:201(is_np_array) 6716 0.009 0.000 0.094 0.000 configparser.py:802(_get) 41041 0.009 0.000 0.009 0.000 {method 'items' of 'dict' objects} 955 0.009 0.000 0.041 0.000 batches.py:753(get_rowwise_shapes) 6785 0.008 0.000 0.021 0.000 configparser.py:891(set) 955 0.008 0.000 0.973 0.001 text_layer.py:33(_read_font) 6785 0.008 0.000 0.037 0.000 configparser.py:1197(set) 6716 0.008 0.000 0.111 0.000 configparser.py:826(getboolean) 2961 0.008 0.000 0.026 0.000 imgaug.py:2147(_normalize_cv2_inputarr) 40493 0.008 0.000 0.008 0.000 {method 'lower' of 'str' objects} 6739 0.008 0.000 0.119 0.000 configparser.py:1291(get) 5209 0.008 0.000 0.010 0.000 random.py:150(init) 18992 0.008 0.000 0.028 0.000 abc.py:96(instancecheck) 48 0.007 0.000 0.007 0.000 {built-in method io.open} 6413 0.007 0.000 0.007 0.000 Image.py:525(getattr) 1877 0.007 0.000 0.009 0.000 _methods.py:66(_count_reduce_items) 5126 0.007 0.000 0.066 0.000 random.py:1471(_advance_generatornp117) 12860 0.007 0.000 0.031 0.000 imgaug.py:242(is_single_integer) 1117 0.007 0.000 0.016 0.000 normalization.py:159(normalize_heatmaps) 23 0.007 0.000 1.568 0.068 elastic_distortion.py:33(apply) 2234 0.007 0.000 0.021 0.000 normalization.py:882(_invert_normalize_polygons_and_line_strings) 23 0.007 0.000 0.124 0.005 arabic_reshaper.py:74(_ligatures_re) 3 0.007 0.002 0.085 0.028 resample.py:30(apply) 5126 0.007 0.000 0.048 0.000 random.py:1223(_reset_generator_cachenp117) 955 0.007 0.000 0.081 0.000 function_base.py:4805(meshgrid) 5405 0.007 0.000 0.007 0.000 {built-in method PIL._imaging.raw_encoder} 15260 0.007 0.000 0.007 0.000 {method 'pixel_access' of 'ImagingCore' objects} 2872 0.007 0.000 0.007 0.000 {method 'dot' of 'numpy.ndarray' objects} 986 0.007 0.000 0.141 0.000 layer.py:303(quad) 5405 0.007 0.000 0.007 0.000 {method 'setimage' of 'ImagingEncoder' objects} 33251 0.007 0.000 0.007 0.000 fromnumeric.py:3160(_ndim_dispatcher) 5892/5294 0.006 0.000 0.007 0.000 {built-in method _abc._abc_subclasscheck} 10810 0.006 0.000 0.009 0.000 Image.py:535(height) 913 0.006 0.000 0.009 0.000 layer.py:156(topright) 22609 0.006 0.000 0.006 0.000 {method 'get' of 'dict' objects} 7 0.006 0.001 0.042 0.006 skew.py:38(apply) 5126 0.006 0.000 0.073 0.000 random.py:1447(advancegenerator) 6716 0.006 0.000 0.008 0.000 configparser.py:1159(_convert_to_boolean) 955 0.006 0.000 0.053 0.000 stride_tricks.py:479(broadcast_arrays) 6739 0.006 0.000 0.046 0.000 configparser.py:393(before_get) 955 0.006 0.000 0.006 0.000 stride_tricks.py:415(_broadcast_shape) 3934 0.006 0.000 0.011 0.000 dtypes.py:23(normalize_dtype) 749 0.006 0.000 0.006 0.000 {method 'uniform' of 'numpy.random.mtrand.RandomState' objects} 955 0.006 0.000 0.930 0.001 ImageDraw.py:405(text) 3991 0.006 0.000 0.100 0.000 <__array_function__ internals>:177(copy) 1117 0.006 0.000 0.011 0.000 batches.py:186() 27265 0.006 0.000 0.006 0.000 Image.py:539(size) 3 0.006 0.002 0.256 0.085 text_shadow.py:59(apply) 1910 0.006 0.000 0.530 0.000 ImageFont.py:1308(freetype) 955 0.006 0.000 0.016 0.000 dtypes.py:192(get_value_range_of_dtype) 1117 0.006 0.000 0.012 0.000 normalization.py:525(invert_normalize_images) 1117 0.006 0.000 0.089 0.000 batches.py:433(to_batch_in_augmentation) 13478 0.006 0.000 0.006 0.000 init.py:882(init) 1910 0.005 0.000 0.005 0.000 {built-in method numpy.arange} 955 0.005 0.000 0.009 0.000 ImageDraw.py:51(init) 6831 0.005 0.000 0.008 0.000 configparser.py:1166(_validate_value_types) 10810 0.005 0.000 0.008 0.000 Image.py:531(width) 5405 0.005 0.000 0.005 0.000 ImageMode.py:36(getmode) 18 0.005 0.000 0.026 0.001 imgaug.py:1310(imresize_many_images) 955 0.005 0.000 2.622 0.003 text_layer.py:180(_get_bbox) 955 0.005 0.000 0.016 0.000 ImageDraw.py:849(Draw) 16765 0.005 0.000 0.005 0.000 {method 'endswith' of 'str' objects} 23247 0.005 0.000 0.005 0.000 {method 'copy' of 'dict' objects} 6785 0.005 0.000 0.009 0.000 configparser.py:398(before_set) 19276 0.005 0.000 0.005 0.000 fromnumeric.py:2795(_amin_dispatcher) 277 0.005 0.000 0.005 0.000 arraypad.py:129(_set_pad_area) 1877 0.004 0.000 0.043 0.000 fromnumeric.py:3356(mean) 13404 0.004 0.000 0.004 0.000 normalization.py:1214(find_first_nonempty) 3987 0.004 0.000 0.007 0.000 ImageFont.py:1151() 1117 0.004 0.000 0.079 0.000 utils.py:10(copy_augmentables) 2875 0.004 0.000 0.018 0.000 numeric.py:149(ones) 955 0.004 0.000 0.007 0.000 function_base.py:4936() 19277 0.004 0.000 0.004 0.000 fromnumeric.py:2670(_amax_dispatcher) 16614 0.004 0.000 0.004 0.000 fromnumeric.py:2079(_clip_dispatcher) 1739 0.004 0.000 0.144 0.000 layer.py:45(copy) 1117 0.004 0.000 0.012 0.000 normalization.py:306(normalize_bounding_boxes) 1117 0.004 0.000 0.019 0.000 normalization.py:389(normalize_polygons) 955 0.004 0.000 0.004 0.000 getlimits.py:647(init) 1117 0.004 0.000 0.012 0.000 normalization.py:190(normalize_segmentation_maps) 955 0.004 0.000 2.615 0.003 ImageFont.py:995(getbbox) 127 0.004 0.000 0.069 0.001 arraypad.py:529(pad) 1117 0.004 0.000 4.103 0.004 meta.py:2006(call) 1117 0.004 0.000 0.011 0.000 normalization.py:233(normalize_keypoints) 6260 0.004 0.000 0.005 0.000 {built-in method builtins.all} 6013 0.004 0.000 0.005 0.000 imgaug.py:316(isstring) 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[radarhere]

synthtiger has only ever had commits from one GitHub user, who hasn't made any GitHub contributions in 8 months, and hasn't responded to any synthtiger issues since January.

So I'm not convinced that this library is maintained - meaning that even if we were to figure out how to improve speed for it, it seems entirely possible that such a suggestion would never be merged.

[nissansz]

Don't know whether this is pillow or cv2 function: 2892831 34.393 0.000 34.393 0.000 {floodFill}

When I turn off visibility check, time is shortened half, but it may lead to image without text visible, any fast function to check text visibility? 104 10.388 0.100 46.299 0.445 template_cnjpkr_str.py:295(_check_visibility)

[radarhere]

The fact that it has a capital F would lead me to conclude that floodFill is cv2 - https://docs.opencv.org/3.4/d7/d1b/group__imgproc__misc.html#gaf1f55a048f8a45bc3383586e80b1f0d0

Would you be able to post a copy of your code?

[radarhere]

To connect the two issues, https://github.com/clovaai/synthtiger/issues/62 has been created as a synthtiger issue to ask their community about a speed increase.

[nissansz]

Would you be able to post a copy of your code?

template_cnjpkr_str code as follows.

"""
SynthTIGER
Copyright (c) 2021-present NAVER Corp.
MIT license
"""

import os

import cv2
import numpy as np
from PIL import Image

from synthtiger import components, layers, templates, utils

BLEND_MODES = [
    "normal",
    "multiply",
    "screen",
    "overlay",
    "hard_light",
    "soft_light",
    "dodge",
    "divide",
    "addition",
    "difference",
    "darken_only",
    "lighten_only",
]

class SynthTiger(templates.Template):
    def __init__(self, config=None):
        if config is None:
            config = {}

        self.coord_output = config.get("coord_output", True)
        self.mask_output = config.get("mask_output", True)
        self.glyph_coord_output = config.get("glyph_coord_output", True)
        self.glyph_mask_output = config.get("glyph_mask_output", True)
        self.vertical = config.get("vertical", False)
        self.quality = config.get("quality", [95, 95])
        # self.visibility_check = config.get("visibility_check", False)
        self.visibility_check = False
        self.midground = config.get("midground", 0)
        self.midground_offset = components.Translate(
            **config.get("midground_offset", {})
        )
        self.foreground_mask_pad = config.get("foreground_mask_pad", 0)
        self.corpus = components.Selector(
            [
                components.LengthAugmentableCorpus(),
                components.CharAugmentableCorpus(),
            ],
            **config.get("corpus", {}),
        )
        self.font = components.BaseFont(**config.get("font", {}))
        self.texture = components.Switch(
            components.BaseTexture(), **config.get("texture", {})
        )
        self.colormap2 = components.GrayMap(**config.get("colormap2", {}))
        self.colormap3 = components.GrayMap(**config.get("colormap3", {}))
        self.color = components.Gray(**config.get("color", {}))
        self.shape = components.Switch(
            components.Selector(
                [components.ElasticDistortion(), components.ElasticDistortion()]
            ),
            **config.get("shape", {}),
        )
        self.layout = components.Selector(
            [components.FlowLayout(), components.CurveLayout()],
            **config.get("layout", {}),
        )
        self.style = components.Switch(
            components.Selector(
                [
                    components.TextBorder(),
                    components.TextShadow(),
                    components.TextExtrusion(),
                ]
            ),
            **config.get("style", {}),
        )
        self.transform = components.Switch(
            components.Selector(
                [
                    components.Perspective(),
                    components.Perspective(),
                    components.Trapezoidate(),
                    components.Trapezoidate(),
                    components.Skew(),
                    components.Skew(),
                    components.Rotate(),
                ]
            ),
            **config.get("transform", {}),
        )
        self.fit = components.Fit()
        self.pad = components.Switch(components.Pad(), **config.get("pad", {}))
        self.postprocess = components.Iterator(
            [
                components.Switch(components.AdditiveGaussianNoise()),
                components.Switch(components.GaussianBlur()),
                components.Switch(components.Resample()),
                components.Switch(components.MedianBlur()),
            ],
            **config.get("postprocess", {}),
        )

    def generate(self,  line):
        quality = np.random.randint(self.quality[0], self.quality[1] + 1)
        midground = np.random.rand() < self.midground
        fg_color, fg_style, mg_color, mg_style, bg_color = self._generate_color()

        fg_image, label, bboxes, glyph_fg_image, glyph_bboxes = self._generate_text(
            fg_color, fg_style, line
        )
        bg_image = self._generate_background(fg_image.shape[:2][::-1], bg_color)

        if midground:
            mg_image, _, _, _, _ = self._generate_text(mg_color, mg_style, line)
            mg_image = self._erase_image(mg_image, fg_image)
            bg_image = _blend_images(mg_image, bg_image, self.visibility_check)

        image = _blend_images(fg_image, bg_image, self.visibility_check)
        image, fg_image, glyph_fg_image = self._postprocess_images(
            [image, fg_image, glyph_fg_image]
        )

        data = {
            "image": image,
            "label": label,
            "quality": quality,
            "mask": fg_image[..., 3],
            "bboxes": bboxes,
            "glyph_mask": glyph_fg_image[..., 3],
            "glyph_bboxes": glyph_bboxes,
        }

        return data

    def init_save(self, root):
        os.makedirs(root, exist_ok=True)

        gt_path = os.path.join(root, "gt.txt")
        coords_path = os.path.join(root, "coords.txt")
        glyph_coords_path = os.path.join(root, "glyph_coords.txt")

        self.gt_file = open(gt_path, "w", encoding="utf-8")
        if self.coord_output:
            self.coords_file = open(coords_path, "w", encoding="utf-8")
        if self.glyph_coord_output:
            self.glyph_coords_file = open(glyph_coords_path, "w", encoding="utf-8")

    def save(self, root, data, idx):
        image = data["image"]
        label = data["label"]
        quality = data["quality"]
        mask = data["mask"]
        bboxes = data["bboxes"]
        glyph_mask = data["glyph_mask"]
        glyph_bboxes = data["glyph_bboxes"]

        image = Image.fromarray(image[..., :3].astype(np.uint8))
        mask = Image.fromarray(mask.astype(np.uint8))
        glyph_mask = Image.fromarray(glyph_mask.astype(np.uint8))

        coords = [[x, y, x + w, y + h] for x, y, w, h in bboxes]
        coords = "\t".join([",".join(map(str, map(int, coord))) for coord in coords])
        glyph_coords = [[x, y, x + w, y + h] for x, y, w, h in glyph_bboxes]
        glyph_coords = "\t".join(
            [",".join(map(str, map(int, coord))) for coord in glyph_coords]
        )

        shard = str(idx // 10000)
        image_key = os.path.join("images", shard, f"{idx}.jpg")
        mask_key = os.path.join("masks", shard, f"{idx}.png")
        glyph_mask_key = os.path.join("glyph_masks", shard, f"{idx}.png")
        image_path = os.path.join(root, image_key)
        mask_path = os.path.join(root, mask_key)
        glyph_mask_path = os.path.join(root, glyph_mask_key)

        os.makedirs(os.path.dirname(image_path), exist_ok=True)
        image.save(image_path, quality=quality)
        if self.mask_output:
            os.makedirs(os.path.dirname(mask_path), exist_ok=True)
            mask.save(mask_path)
        if self.glyph_mask_output:
            os.makedirs(os.path.dirname(glyph_mask_path), exist_ok=True)
            glyph_mask.save(glyph_mask_path)

        self.gt_file.write(f"{image_key}\t{label}\n")
        if self.coord_output:
            self.coords_file.write(f"{image_key}\t{coords}\n")
        if self.glyph_coord_output:
            self.glyph_coords_file.write(f"{image_key}\t{glyph_coords}\n")

    def end_save(self, root):
        self.gt_file.close()
        if self.coord_output:
            self.coords_file.close()
        if self.glyph_coord_output:
            self.glyph_coords_file.close()

    def _generate_color(self):
        mg_color = self.color.sample()
        fg_style = self.style.sample()
        mg_style = self.style.sample()

        if fg_style["state"]:
            fg_color, bg_color, style_color = self.colormap3.sample()
            fg_style["meta"]["meta"]["rgb"] = style_color["rgb"]
        else:
            fg_color, bg_color = self.colormap2.sample()

        return fg_color, fg_style, mg_color, mg_style, bg_color

    # def _generate_text(self, color, style):
    def _generate_text(self, color, style, line):
        # label = self.corpus.data(self.corpus.sample())
        # label = r'我们大家二ホンてする사이드바 we are. 、'
        label = line

        # for script using diacritic, ligature and RTL
        chars = utils.split_text(label, reorder=True)

        text = "".join(chars)
        font = self.font.sample({"text": text, "vertical": self.vertical})

        char_layers = [layers.TextLayer(char, **font) for char in chars]
        self.shape.apply(char_layers)
        self.layout.apply(char_layers, {"meta": {"vertical": self.vertical}})
        char_glyph_layers = [char_layer.copy() for char_layer in char_layers]

        text_layer = layers.Group(char_layers).merge()
        text_glyph_layer = text_layer.copy()

        transform = self.transform.sample()
        self.color.apply([text_layer, text_glyph_layer], color)
        self.texture.apply([text_layer, text_glyph_layer])
        self.style.apply([text_layer, *char_layers], style)
        self.transform.apply(
            [text_layer, text_glyph_layer, *char_layers, *char_glyph_layers], transform
        )
        self.fit.apply([text_layer, text_glyph_layer, *char_layers, *char_glyph_layers])
        self.pad.apply([text_layer])

        for char_layer in char_layers:
            char_layer.topleft -= text_layer.topleft
        for char_glyph_layer in char_glyph_layers:
            char_glyph_layer.topleft -= text_layer.topleft

        out = text_layer.output()
        bboxes = [char_layer.bbox for char_layer in char_layers]

        glyph_out = text_glyph_layer.output(bbox=text_layer.bbox)
        glyph_bboxes = [char_glyph_layer.bbox for char_glyph_layer in char_glyph_layers]

        return out, label, bboxes, glyph_out, glyph_bboxes

    def _generate_background(self, size, color):
        layer = layers.RectLayer(size)
        self.color.apply([layer], color)
        self.texture.apply([layer])
        out = layer.output()
        return out

    def _erase_image(self, image, mask):
        mask = _create_poly_mask(mask, self.foreground_mask_pad)
        mask_layer = layers.Layer(mask)
        image_layer = layers.Layer(image)
        image_layer.bbox = mask_layer.bbox
        self.midground_offset.apply([image_layer])
        out = image_layer.erase(mask_layer).output(bbox=mask_layer.bbox)
        return out

    def _postprocess_images(self, images):
        image_layers = [layers.Layer(image) for image in images]
        self.postprocess.apply(image_layers)
        outs = [image_layer.output() for image_layer in image_layers]
        return outs

def _blend_images(src, dst, visibility_check=False):
    blend_modes = np.random.permutation(BLEND_MODES)

    for blend_mode in blend_modes:
        out = utils.blend_image(src, dst, mode=blend_mode)
        if not visibility_check or _check_visibility(out, src[..., 3]):
            break
    else:
        raise RuntimeError("Text is not visible")

    return out

def _check_visibility(image, mask):
    gray = utils.to_gray(image[..., :3]).astype(np.uint8)
    mask = mask.astype(np.uint8)
    height, width = mask.shape

    peak = (mask > 127).astype(np.uint8)

    kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (3, 3))
    bound = (mask > 0).astype(np.uint8)
    bound = cv2.dilate(bound, kernel, iterations=1)

    visit = bound.copy()
    visit ^= 1
    visit = np.pad(visit, 1, constant_values=1)

    border = bound.copy()
    border[mask > 0] = 0

    flag = 4 | cv2.FLOODFILL_FIXED_RANGE | cv2.FLOODFILL_MASK_ONLY

    for y in range(height):
        for x in range(width):
            if peak[y][x]:
                cv2.floodFill(gray, visit, (x, y), 1, 16, 16, flag)

    visit = visit[1:-1, 1:-1]
    count = np.sum(visit & border)
    total = np.sum(border)
    return total > 0 and count <= total * 0.1

def _create_poly_mask(image, pad=0):
    height, width = image.shape[:2]
    alpha = image[..., 3].astype(np.uint8)
    mask = np.zeros((height, width), dtype=np.float32)

    cts, _ = cv2.findContours(alpha, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    cts = sorted(cts, key=lambda ct: sum(cv2.boundingRect(ct)[:2]))

    if len(cts) == 1:
        hull = cv2.convexHull(cts[0])
        cv2.fillConvexPoly(mask, hull, 255)

    for idx in range(len(cts) - 1):
        pts = np.concatenate((cts[idx], cts[idx + 1]), axis=0)
        hull = cv2.convexHull(pts)
        cv2.fillConvexPoly(mask, hull, 255)

    mask = utils.dilate_image(mask, pad)
    out = utils.create_image((width, height))
    out[..., 3] = mask
    return out

[radarhere]

The code you've pasted is a slightly modified version of https://github.com/clovaai/synthtiger/blob/master/examples/synthtiger/template.py

In that code, Pillow is only used in save(). The rest of the time, it is synthtiger, cv2 and a bit of NumPy.

I think this is primarily a question for synthtiger. If you think floodFill is the main problem, then you can ask the cv2 community instead.

[nissansz]

Thank you.

The profile shows 2892831 times of floodfill calls, too many times, not sure why synthtiger needs so many calls.