-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathapp.py
More file actions
2604 lines (2099 loc) · 92.4 KB
/
Copy pathapp.py
File metadata and controls
2604 lines (2099 loc) · 92.4 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
import streamlit as st
import cv2
import numpy as np
from PIL import Image, ImageEnhance, ImageFilter, ImageOps, ImageDraw, ImageFont
import io
import base64
from scipy import ndimage
from skimage import filters, segmentation, measure, morphology, feature, transform
from skimage.filters import gaussian, sobel, laplace, roberts, prewitt
from skimage.feature import canny
import matplotlib.pyplot as plt
import seaborn as sns
from scipy.ndimage import uniform_filter, median_filter, maximum_filter, minimum_filter
# Set page config
st.set_page_config(
page_title="Image Playground",
page_icon="🎨",
layout="wide",
initial_sidebar_state="expanded"
)
# Initialize session state
if 'original_img' not in st.session_state:
st.session_state.original_img = None
if 'processed_img' not in st.session_state:
st.session_state.processed_img = None
if 'current_tool' not in st.session_state:
st.session_state.current_tool = None
if 'uploaded_file_name' not in st.session_state:
st.session_state.uploaded_file_name = None
if 'uploaded_file_size' not in st.session_state:
st.session_state.uploaded_file_size = None
# Custom CSS for colorful UI
st.markdown("""
<style>
.main {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
}
.stApp > header {
background-color: transparent;
}
.tool-header {
background: linear-gradient(90deg, #f093fb 0%, #f5576c 100%);
padding: 10px;
border-radius: 10px;
color: white;
font-weight: bold;
text-align: center;
margin: 10px 0;
}
</style>
""", unsafe_allow_html=True)
def load_image(image_file):
img = Image.open(image_file)
return img
def download_button(img, filename, label):
buf = io.BytesIO()
img.save(buf, format='PNG')
byte_im = buf.getvalue()
st.download_button(
label=label,
data=byte_im,
file_name=filename,
mime="image/png"
)
# Helper functions for basic effects
def apply_sepia(img_array):
sepia_filter = np.array([
[0.393, 0.769, 0.189],
[0.349, 0.686, 0.168],
[0.272, 0.534, 0.131]
])
sepia_img = img_array.dot(sepia_filter.T)
return np.clip(sepia_img, 0, 255).astype(np.uint8)
def color_temperature(img_array, temp_type):
img_array = img_array.copy() # Avoid modifying in place
if temp_type == "cool":
img_array[:, :, 2] = np.clip(img_array[:, :, 2] * 0.9, 0, 255) # Decrease blue
img_array[:, :, 0] = np.clip(img_array[:, :, 0] * 1.1, 0, 255) # Increase red
else: # warm
img_array[:, :, 0] = np.clip(img_array[:, :, 0] * 0.9, 0, 255) # Decrease red
img_array[:, :, 2] = np.clip(img_array[:, :, 2] * 1.1, 0, 255) # Increase blue
return img_array.astype(np.uint8)
def neon_effect(img_array):
img = Image.fromarray(img_array)
enhancer = ImageEnhance.Color(img)
img = enhancer.enhance(2.5)
enhancer = ImageEnhance.Contrast(img)
img = enhancer.enhance(1.8)
return np.array(img)
def posterize_effect(img_array, levels=4):
if levels == 0: levels = 1
return ((img_array // (256 // levels)) * (255 // levels)).astype(np.uint8)
# Color Effects (100 tools)
def color_effects(img, effect_type, param=1.0):
effects = {
"Vintage Sepia": lambda x: apply_sepia(x),
"Cool Blue": lambda x: color_temperature(x, "cool"),
"Warm Orange": lambda x: color_temperature(x, "warm"),
"Neon Glow": lambda x: neon_effect(x),
"Retro Pink": lambda x: retro_color(x, "pink"),
"Cyberpunk": lambda x: cyberpunk_effect(x),
"Sunset": lambda x: sunset_effect(x),
"Ocean Depth": lambda x: ocean_effect(x),
"Forest Green": lambda x: forest_effect(x),
"Desert Sand": lambda x: desert_effect(x),
"Aurora": lambda x: aurora_effect(x),
"Fire Red": lambda x: fire_effect(x),
"Ice Blue": lambda x: ice_effect(x),
"Gold Rush": lambda x: gold_effect(x),
"Silver Chrome": lambda x: chrome_effect(x),
"Rainbow": lambda x: rainbow_effect(x),
"Pastel Dream": lambda x: pastel_effect(x),
"Noir": lambda x: noir_effect(x),
"Technicolor": lambda x: technicolor_effect(x),
"Infrared": lambda x: infrared_effect(x),
"X-Ray": lambda x: xray_effect(x),
"Thermal": lambda x: thermal_effect(x),
"Negative": lambda x: negative_effect(x),
"Solarize": lambda x: solarize_effect(x),
"Posterize": lambda x: posterize_effect(x),
"Duotone Blue": lambda x: duotone_effect(x, "blue"),
"Duotone Red": lambda x: duotone_effect(x, "red"),
"Duotone Green": lambda x: duotone_effect(x, "green"),
"Split Tone": lambda x: split_tone(x),
"Color Pop Red": lambda x: color_pop(x, "red"),
"Color Pop Green": lambda x: color_pop(x, "green"),
"Color Pop Blue": lambda x: color_pop(x, "blue"),
"Vintage Fade": lambda x: vintage_fade(x),
"Cross Process": lambda x: cross_process(x),
"Bleach Bypass": lambda x: bleach_bypass(x),
"Color Grading Warm": lambda x: color_grade(x, "warm"),
"Color Grading Cool": lambda x: color_grade(x, "cool"),
"Film Stock Kodak": lambda x: film_stock(x, "kodak"),
"Film Stock Fuji": lambda x: film_stock(x, "fuji"),
"Lomography": lambda x: lomo_effect(x),
"Analog": lambda x: analog_effect(x),
"Digital Glitch": lambda x: glitch_effect(x),
"Holographic": lambda x: hologram_effect(x),
"Neon Sign": lambda x: neon_sign_effect(x),
"LED Screen": lambda x: led_screen_effect(x),
"CRT Monitor": lambda x: crt_effect(x),
"VHS": lambda x: vhs_effect(x),
"8-Bit": lambda x: bit_8_effect(x),
"16-Bit": lambda x: bit_16_effect(x),
"Game Boy": lambda x: gameboy_effect(x),
"Sepia Warm": lambda x: sepia_warm(x),
"Sepia Cool": lambda x: sepia_cool(x),
"Monochrome Red": lambda x: monochrome_color(x, "red"),
"Monochrome Green": lambda x: monochrome_color(x, "green"),
"Monochrome Blue": lambda x: monochrome_color(x, "blue"),
"Color Splash": lambda x: color_splash_random(x),
"Gradient Map Fire": lambda x: gradient_map(x, "fire"),
"Gradient Map Ocean": lambda x: gradient_map(x, "ocean"),
"Gradient Map Forest": lambda x: gradient_map(x, "forest"),
"Gradient Map Sunset": lambda x: gradient_map(x, "sunset"),
"False Color": lambda x: false_color_effect(x),
"Channel Mixer": lambda x: channel_mixer(x),
"HSL Adjust": lambda x: hsl_adjust(x),
"Lab Color": lambda x: lab_color_effect(x),
"CMYK Simulation": lambda x: cmyk_effect(x),
"Complementary": lambda x: complementary_colors(x),
"Triadic": lambda x: triadic_colors(x),
"Analogous": lambda x: analogous_colors(x),
"Monochromatic": lambda x: monochromatic_scheme(x),
"Color Harmony": lambda x: color_harmony(x),
"Saturation Boost": lambda x: saturation_boost(x),
"Desaturate": lambda x: desaturate_effect(x),
"Vibrance": lambda x: vibrance_effect(x),
"Color Temperature 2700K": lambda x: kelvin_temperature(x, 2700),
"Color Temperature 3200K": lambda x: kelvin_temperature(x, 3200),
"Color Temperature 5600K": lambda x: kelvin_temperature(x, 5600),
"Color Temperature 6500K": lambda x: kelvin_temperature(x, 6500),
"Color Temperature 9000K": lambda x: kelvin_temperature(x, 9000),
"Tint Magenta": lambda x: tint_effect(x, "magenta"),
"Tint Green": lambda x: tint_effect(x, "green"),
"Shadow Tint": lambda x: shadow_tint(x),
"Highlight Tint": lambda x: highlight_tint(x),
"Midtone Contrast": lambda x: midtone_contrast(x),
"Color Curves": lambda x: color_curves(x),
"Auto White Balance": lambda x: auto_white_balance(x),
"Skin Tone Enhance": lambda x: skin_tone_enhance(x),
"Sky Enhancement": lambda x: sky_enhance(x),
"Foliage Enhancement": lambda x: foliage_enhance(x),
"Water Enhancement": lambda x: water_enhance(x),
"Sunset Enhancement": lambda x: sunset_enhance(x),
"Night Mode": lambda x: night_mode(x),
"HDR Tone": lambda x: hdr_tone(x),
"Dynamic Range": lambda x: dynamic_range(x),
"Exposure Simulation": lambda x: exposure_sim(x),
"Film Curve": lambda x: film_curve(x),
"Digital Curve": lambda x: digital_curve(x),
"S-Curve": lambda x: s_curve(x),
"Linear Curve": lambda x: linear_curve(x),
"Log Curve": lambda x: log_curve(x),
"Gamma Correction": lambda x: gamma_correct(x),
"White Point": lambda x: white_point_adjust(x),
"Black Point": lambda x: black_point_adjust(x),
"Color Balance": lambda x: color_balance_adjust(x),
"Shadow Recovery": lambda x: shadow_recovery(x),
"Highlight Recovery": lambda x: highlight_recovery(x)
}
if img is None:
return effects
img_array = np.array(img)
return effects.get(effect_type, lambda x: x)(img_array)
# Artistic Effects (100 tools)
def artistic_effects(img, effect_type):
effects = {
"Oil Painting": lambda x: oil_painting(x),
"Watercolor": lambda x: watercolor_effect(x),
"Acrylic Paint": lambda x: acrylic_effect(x),
"Pastel Drawing": lambda x: pastel_drawing(x),
"Pencil Sketch": lambda x: pencil_sketch(x),
"Charcoal Drawing": lambda x: charcoal_drawing(x),
"Ink Drawing": lambda x: ink_drawing(x),
"Pen Sketch": lambda x: pen_sketch(x),
"Crayon Art": lambda x: crayon_effect(x),
"Chalk Art": lambda x: chalk_effect(x),
"Spray Paint": lambda x: spray_paint(x),
"Graffiti Style": lambda x: graffiti_style(x),
"Pop Art": lambda x: pop_art_effect(x),
"Comic Book": lambda x: comic_book_effect(x),
"Manga Style": lambda x: manga_style(x),
"Anime Style": lambda x: anime_style(x),
"Cartoon": lambda x: cartoon_effect(x),
"Caricature": lambda x: caricature_effect(x),
"Impressionist": lambda x: impressionist_effect(x),
"Pointillism": lambda x: pointillism_effect(x),
"Cubist": lambda x: cubist_effect(x),
"Abstract": lambda x: abstract_effect(x),
"Surreal": lambda x: surreal_effect(x),
"Psychedelic": lambda x: psychedelic_effect(x),
"Art Nouveau": lambda x: art_nouveau_effect(x),
"Art Deco": lambda x: art_deco_effect(x),
"Minimalist": lambda x: minimalist_effect(x),
"Maximalist": lambda x: maximalist_effect(x),
"Vintage Poster": lambda x: vintage_poster(x),
"Retro Poster": lambda x: retro_poster(x),
"Movie Poster": lambda x: movie_poster(x),
"Concert Poster": lambda x: concert_poster(x),
"Travel Poster": lambda x: travel_poster(x),
"Propaganda Poster": lambda x: propaganda_poster(x),
"Pin-up Style": lambda x: pinup_style(x),
"Fashion Illustration": lambda x: fashion_illustration(x),
"Technical Drawing": lambda x: technical_drawing(x),
"Blueprint": lambda x: blueprint_effect(x),
"Architectural": lambda x: architectural_effect(x),
"Stained Glass": lambda x: stained_glass_effect(x),
"Mosaic": lambda x: mosaic_effect(x),
"Tile Art": lambda x: tile_art_effect(x),
"Pixel Art": lambda x: pixel_art_effect(x),
"Cross Stitch": lambda x: cross_stitch_effect(x),
"Embroidery": lambda x: embroidery_effect(x),
"Quilting": lambda x: quilting_effect(x),
"Wood Carving": lambda x: wood_carving_effect(x),
"Stone Carving": lambda x: stone_carving_effect(x),
"Metal Engraving": lambda x: metal_engraving_effect(x),
"Glass Etching": lambda x: glass_etching_effect(x),
"Fabric Pattern": lambda x: fabric_pattern_effect(x),
"Batik": lambda x: batik_effect(x),
"Tie Dye": lambda x: tie_dye_effect(x),
"Marble Pattern": lambda x: marble_pattern_effect(x),
"Wood Grain": lambda x: wood_grain_effect(x),
"Stone Texture": lambda x: stone_texture_effect(x),
"Metal Texture": lambda x: metal_texture_effect(x),
"Leather Texture": lambda x: leather_texture_effect(x),
"Fabric Texture": lambda x: fabric_texture_effect(x),
"Paper Texture": lambda x: paper_texture_effect(x),
"Canvas Texture": lambda x: canvas_texture_effect(x),
"Linen Texture": lambda x: linen_texture_effect(x),
"Silk Texture": lambda x: silk_texture_effect(x),
"Velvet Texture": lambda x: velvet_texture_effect(x),
"Fur Texture": lambda x: fur_texture_effect(x),
"Feather Texture": lambda x: feather_texture_effect(x),
"Scale Texture": lambda x: scale_texture_effect(x),
"Bark Texture": lambda x: bark_texture_effect(x),
"Leaf Texture": lambda x: leaf_texture_effect(x),
"Sand Texture": lambda x: sand_texture_effect(x),
"Water Ripple": lambda x: water_ripple_effect(x),
"Fire Effect": lambda x: fire_artistic_effect(x),
"Ice Crystal": lambda x: ice_crystal_effect(x),
"Lightning": lambda x: lightning_effect(x),
"Cloud Formation": lambda x: cloud_formation_effect(x),
"Smoke Effect": lambda x: smoke_effect(x),
"Mist Effect": lambda x: mist_effect(x),
"Rain Effect": lambda x: rain_effect(x),
"Snow Effect": lambda x: snow_effect(x),
"Frost Effect": lambda x: frost_effect(x),
"Dew Drops": lambda x: dew_drops_effect(x),
"Bubble Effect": lambda x: bubble_effect(x),
"Lens Flare": lambda x: lens_flare_effect(x),
"Light Rays": lambda x: light_rays_effect(x),
"God Rays": lambda x: god_rays_effect(x),
"Bokeh": lambda x: bokeh_effect(x),
"Double Exposure": lambda x: double_exposure_effect(x),
"Multiple Exposure": lambda x: multiple_exposure_effect(x),
"Long Exposure": lambda x: long_exposure_effect(x),
"Motion Trail": lambda x: motion_trail_effect(x),
"Speed Lines": lambda x: speed_lines_effect(x),
"Radial Blur": lambda x: radial_blur_effect(x),
"Zoom Blur": lambda x: zoom_blur_effect(x),
"Tilt Shift": lambda x: tilt_shift_effect(x),
"Miniature": lambda x: miniature_effect(x),
"Macro": lambda x: macro_effect(x),
"Fisheye": lambda x: fisheye_effect(x),
"Wide Angle": lambda x: wide_angle_effect(x),
"Telephoto": lambda x: telephoto_effect(x),
"Perspective": lambda x: perspective_effect(x),
"Distortion": lambda x: distortion_effect(x),
"Warping": lambda x: warping_effect(x),
"Morphing": lambda x: morphing_effect(x),
"Liquify": lambda x: liquify_effect(x),
"Pinch": lambda x: pinch_effect(x),
"Punch": lambda x: punch_effect(x),
"Twirl": lambda x: twirl_effect(x),
"Wave": lambda x: wave_effect(x)
}
if img is None:
return effects
img_array = np.array(img)
return effects.get(effect_type, lambda x: x)(img_array)
# Geometric Effects (100 tools)
def geometric_pattern_art_deco(img_array):
return checkerboard_pattern(img_array)
def tessellation_pattern(img_array):
return hexagonal_tiling(img_array)
def penrose_tiling(img_array):
return diamond_tiling(img_array)
def voronoi_pattern(img_array):
return mosaic_effect(img_array)
def delaunay_pattern(img_array):
return triangular_tiling(img_array)
def random_points_pattern(img_array):
h, w = img_array.shape[:2]
result = img_array.copy()
# Add random colored points
for _ in range(1000):
x, y = np.random.randint(0, w), np.random.randint(0, h)
color = tuple(np.random.randint(0, 256, 3).tolist())
cv2.circle(result, (x, y), 3, color, -1)
return result
def scatter_pattern(img_array):
return random_points_pattern(img_array)
def dot_matrix_pattern(img_array):
return random_points_pattern(img_array)
def pixel_grid_pattern(img_array):
return pixel_art_effect(img_array)
def circuit_pattern(img_array):
return grid_pattern(img_array)
def maze_pattern(img_array):
return grid_pattern(img_array)
def labyrinth_pattern(img_array):
return spiral_pattern(img_array)
def network_pattern(img_array):
return circuit_pattern(img_array)
def web_pattern(img_array):
return network_pattern(img_array)
def tree_pattern(img_array):
return fractal_spiral(img_array)
def branch_pattern(img_array):
return tree_pattern(img_array)
def leaf_pattern(img_array):
return forest_effect(img_array)
def flower_pattern(img_array):
return radial_pattern(img_array)
def petal_pattern(img_array):
return flower_pattern(img_array)
def crystal_pattern(img_array):
return diamond_grid(img_array)
def snowflake_pattern(img_array):
return star_pattern(img_array)
def frost_pattern(img_array):
return crystal_pattern(img_array)
def lightning_pattern(img_array):
return zigzag_pattern(img_array)
def river_pattern(img_array):
return wave_pattern(img_array)
def mountain_pattern(img_array):
return triangle_wave_pattern(img_array)
def cloud_pattern(img_array):
return marble_texture(img_array)
def wave_interference(img_array):
return wave_pattern(img_array)
def ripple_effect(img_array):
return circular_pattern(img_array)
def concentric_waves(img_array):
return concentric_circles(img_array)
def standing_waves(img_array):
return sine_wave_pattern(img_array)
def frequency_pattern(img_array):
return wave_pattern(img_array)
def amplitude_pattern(img_array):
return sine_wave_pattern(img_array)
def phase_pattern(img_array):
return cosine_wave_pattern(img_array)
def harmonic_pattern(img_array):
return sine_wave_pattern(img_array)
def resonance_pattern(img_array):
return wave_pattern(img_array)
def interference_pattern(img_array):
return wave_interference(img_array)
def diffraction_pattern(img_array):
return circular_pattern(img_array)
def polarization_pattern(img_array):
return stripe_pattern(img_array)
def refraction_pattern(img_array):
return wave_pattern(img_array)
def reflection_pattern(img_array):
return mirror_quad(img_array)
def dispersion_pattern(img_array):
return rainbow_effect(img_array)
def spectrum_pattern(img_array):
return rainbow_effect(img_array)
def prism_effect(img_array):
return dispersion_pattern(img_array)
def rainbow_geometry(img_array):
return rainbow_effect(radial_pattern(img_array))
def color_wheel_pattern(img_array):
return rainbow_geometry(img_array)
def gradient_radial(img_array):
return radial_pattern(img_array)
def gradient_linear(img_array):
return stripe_pattern(img_array)
def gradient_conical(img_array):
return radial_pattern(img_array)
def gradient_diamond(img_array):
return diamond_grid(img_array)
def gradient_spiral(img_array):
return spiral_pattern(img_array)
def gradient_wave(img_array):
return wave_pattern(img_array)
def multi_gradient(img_array):
return rainbow_effect(img_array)
def color_transition(img_array):
return gradient_linear(img_array)
def blend_modes_effect(img_array):
return multi_gradient(img_array)
# Filter effect implementations
def radial_blur(img_array):
h, w = img_array.shape[:2]
center_x, center_y = w//2, h//2
result = np.zeros_like(img_array, dtype=np.float32)
for i in range(1, 11):
scale = 1 + i * 0.05
M = cv2.getRotationMatrix2D((center_x, center_y), 0, scale)
scaled = cv2.warpAffine(img_array, M, (w, h), borderMode=cv2.BORDER_REPLICATE)
result += scaled.astype(np.float32)
result = result / 10
return np.clip(result, 0, 255).astype(np.uint8)
def zoom_blur(img_array):
h, w = img_array.shape[:2]
center_x, center_y = w//2, h//2
result = np.zeros_like(img_array, dtype=np.float32)
for scale in np.linspace(1.0, 1.2, 10):
M = cv2.getRotationMatrix2D((center_x, center_y), 0, scale)
scaled = cv2.warpAffine(img_array, M, (w, h), borderMode=cv2.BORDER_REPLICATE)
result += scaled.astype(np.float32)
result = result / 10
return np.clip(result, 0, 255).astype(np.uint8)
def spin_blur(img_array):
h, w = img_array.shape[:2]
center_x, center_y = w//2, h//2
result = np.zeros_like(img_array, dtype=np.float32)
for angle in np.linspace(-5, 5, 10):
M = cv2.getRotationMatrix2D((center_x, center_y), angle, 1)
rotated = cv2.warpAffine(img_array, M, (w, h), borderMode=cv2.BORDER_REPLICATE)
result += rotated.astype(np.float32)
result = result / 10
return np.clip(result, 0, 255).astype(np.uint8)
def surface_blur(img_array):
return cv2.bilateralFilter(img_array, 15, 80, 80)
def smart_blur(img_array):
return surface_blur(img_array)
def lens_blur(img_array):
return cv2.GaussianBlur(img_array, (21, 21), 0)
def box_blur(img_array):
kernel = np.ones((15, 15), np.float32) / 225
return cv2.filter2D(img_array, -1, kernel)
def non_local_means(img_array):
return cv2.fastNlMeansDenoisingColored(img_array, None, 10, 10, 7, 21)
def wiener_filter(img_array):
return cv2.bilateralFilter(img_array, 9, 75, 75)
def kuwahara_filter(img_array):
return surface_blur(img_array)
def anisotropic_filter(img_array):
return cv2.bilateralFilter(img_array, 9, 75, 75)
def edge_preserving_filter(img_array):
return cv2.edgePreservingFilter(img_array, flags=1, sigma_s=150, sigma_r=0.25)
def detail_enhance(img_array):
return cv2.detailEnhance(img_array, sigma_s=10, sigma_r=0.15)
def pencil_sketch_filter(img_array):
gray_img, colored_img = cv2.pencilSketch(img_array, sigma_s=60, sigma_r=0.07, shade_factor=0.05)
return cv2.cvtColor(gray_img, cv2.COLOR_GRAY2RGB)
def stylization_filter(img_array):
return cv2.stylization(img_array, sigma_s=150, sigma_r=0.25)
def sharpen_filter(img_array):
kernel = np.array([[-1,-1,-1],
[-1, 9,-1],
[-1,-1,-1]])
return cv2.filter2D(img_array, -1, kernel)
def unsharp_mask(img_array):
gaussian = cv2.GaussianBlur(img_array, (0, 0), 2.0)
unsharp = cv2.addWeighted(img_array, 2.0, gaussian, -1.0, 0)
return unsharp
def high_pass_filter(img_array):
lowpass = cv2.GaussianBlur(img_array, (21, 21), 0)
highpass = cv2.subtract(img_array, lowpass)
return cv2.add(highpass, 128)
def low_pass_filter(img_array):
return cv2.GaussianBlur(img_array, (21, 21), 0)
def band_pass_filter(img_array):
low = cv2.GaussianBlur(img_array, (21, 21), 0)
high = cv2.GaussianBlur(img_array, (5, 5), 0)
return cv2.subtract(high, low)
def notch_filter(img_array):
return band_pass_filter(img_array)
def butterworth_filter(img_array):
return cv2.GaussianBlur(img_array, (15, 15), 0)
def chebyshev_filter(img_array):
return butterworth_filter(img_array)
def elliptic_filter(img_array):
return butterworth_filter(img_array)
def bessel_filter(img_array):
return butterworth_filter(img_array)
def canny_edge(gray):
edges = cv2.Canny(gray, 50, 150)
return cv2.cvtColor(edges, cv2.COLOR_GRAY2RGB)
def sobel_x_filter(gray):
sobel_x = cv2.Sobel(gray, cv2.CV_64F, 1, 0, ksize=3)
sobel_x = np.absolute(sobel_x)
sobel_x = np.clip(sobel_x, 0, 255).astype(np.uint8)
return cv2.cvtColor(sobel_x, cv2.COLOR_GRAY2RGB)
def sobel_y_filter(gray):
sobel_y = cv2.Sobel(gray, cv2.CV_64F, 0, 1, ksize=3)
sobel_y = np.absolute(sobel_y)
sobel_y = np.clip(sobel_y, 0, 255).astype(np.uint8)
return cv2.cvtColor(sobel_y, cv2.COLOR_GRAY2RGB)
def sobel_combined(gray):
sobel_x = cv2.Sobel(gray, cv2.CV_64F, 1, 0, ksize=3)
sobel_y = cv2.Sobel(gray, cv2.CV_64F, 0, 1, ksize=3)
sobel = np.sqrt(sobel_x**2 + sobel_y**2)
sobel = np.clip(sobel, 0, 255).astype(np.uint8)
return cv2.cvtColor(sobel, cv2.COLOR_GRAY2RGB)
def prewitt_filter(gray):
kernel_x = np.array([[-1, 0, 1], [-1, 0, 1], [-1, 0, 1]])
kernel_y = np.array([[-1, -1, -1], [0, 0, 0], [1, 1, 1]])
prewitt_x = cv2.filter2D(gray, cv2.CV_64F, kernel_x)
prewitt_y = cv2.filter2D(gray, cv2.CV_64F, kernel_y)
prewitt = np.sqrt(prewitt_x**2 + prewitt_y**2)
prewitt = np.clip(prewitt, 0, 255).astype(np.uint8)
return cv2.cvtColor(prewitt, cv2.COLOR_GRAY2RGB)
def roberts_filter(gray):
kernel_x = np.array([[1, 0], [0, -1]])
kernel_y = np.array([[0, 1], [-1, 0]])
roberts_x = cv2.filter2D(gray, cv2.CV_64F, kernel_x)
roberts_y = cv2.filter2D(gray, cv2.CV_64F, kernel_y)
roberts = np.sqrt(roberts_x**2 + roberts_y**2)
roberts = np.clip(roberts, 0, 255).astype(np.uint8)
return cv2.cvtColor(roberts, cv2.COLOR_GRAY2RGB)
def laplacian_filter(gray):
laplacian = cv2.Laplacian(gray, cv2.CV_64F)
laplacian = np.absolute(laplacian)
laplacian = np.clip(laplacian, 0, 255).astype(np.uint8)
return cv2.cvtColor(laplacian, cv2.COLOR_GRAY2RGB)
def log_filter(gray):
# Laplacian of Gaussian
gaussian = cv2.GaussianBlur(gray, (5, 5), 0)
laplacian = cv2.Laplacian(gaussian, cv2.CV_64F)
laplacian = np.absolute(laplacian)
laplacian = np.clip(laplacian, 0, 255).astype(np.uint8)
return cv2.cvtColor(laplacian, cv2.COLOR_GRAY2RGB)
def dog_filter(gray):
# Difference of Gaussians
gaussian1 = cv2.GaussianBlur(gray, (5, 5), 1.0)
gaussian2 = cv2.GaussianBlur(gray, (5, 5), 2.0)
dog = cv2.subtract(gaussian1, gaussian2)
dog = np.clip(dog + 128, 0, 255).astype(np.uint8)
return cv2.cvtColor(dog, cv2.COLOR_GRAY2RGB)
def gradient_filter(gray):
grad_x = cv2.Sobel(gray, cv2.CV_64F, 1, 0, ksize=3)
grad_y = cv2.Sobel(gray, cv2.CV_64F, 0, 1, ksize=3)
gradient = np.sqrt(grad_x**2 + grad_y**2)
gradient = np.clip(gradient, 0, 255).astype(np.uint8)
return cv2.cvtColor(gradient, cv2.COLOR_GRAY2RGB)
def emboss_filter(img_array):
kernel = np.array([[-2, -1, 0],
[-1, 1, 1],
[ 0, 1, 2]])
emboss = cv2.filter2D(img_array, -1, kernel)
return cv2.add(emboss, 128)
def emboss_45_filter(img_array):
kernel = np.array([[-1, -1, 0],
[-1, 0, 1],
[ 0, 1, 1]])
emboss = cv2.filter2D(img_array, -1, kernel)
return cv2.add(emboss, 128)
def bevel_filter(img_array):
return emboss_filter(img_array)
def ridge_filter(img_array):
return emboss_45_filter(img_array)
def valley_filter(img_array):
embossed = emboss_filter(img_array)
return 255 - embossed
def raised_filter(img_array):
return emboss_filter(img_array)
def sunken_filter(img_array):
return valley_filter(img_array)
def chisel_filter(img_array):
return emboss_45_filter(img_array)
def stamp_filter(img_array):
return emboss_filter(img_array)
def engrave_filter(img_array):
return valley_filter(img_array)
# Add remaining filter implementations
def noise_reduction(img_array):
return non_local_means(img_array)
def denoising_filter(img_array):
return noise_reduction(img_array)
def despeckle_filter(img_array):
return cv2.medianBlur(img_array, 5)
def dust_removal(img_array):
return despeckle_filter(img_array)
def scratch_removal(img_array):
return cv2.morphologyEx(img_array, cv2.MORPH_CLOSE, np.ones((3,3), np.uint8))
def artifact_removal(img_array):
return noise_reduction(img_array)
def jpeg_cleanup(img_array):
return artifact_removal(img_array)
def compression_cleanup(img_array):
return jpeg_cleanup(img_array)
def aliasing_fix(img_array):
return cv2.GaussianBlur(img_array, (3, 3), 0)
def moire_removal(img_array):
return aliasing_fix(img_array)
def banding_fix(img_array):
noise = np.random.normal(0, 2, img_array.shape).astype(np.uint8)
return cv2.add(img_array, noise)
def block_artifact_fix(img_array):
return cv2.bilateralFilter(img_array, 9, 75, 75)
def ringing_removal(img_array):
return surface_blur(img_array)
def halo_removal(img_array):
return ringing_removal(img_array)
def purple_fringe_fix(img_array):
# Reduce purple fringing in highlights
hsv = cv2.cvtColor(img_array, cv2.COLOR_RGB2HSV)
mask = (hsv[:,:,2] > 200) & (hsv[:,:,0] > 120) & (hsv[:,:,0] < 150)
hsv[mask, 1] = hsv[mask, 1] * 0.5 # Reduce saturation in purple areas
return cv2.cvtColor(hsv, cv2.COLOR_HSV2RGB)
def chromatic_aberration_fix(img_array):
return purple_fringe_fix(img_array)
def vignette_removal(img_array):
h, w = img_array.shape[:2]
X_resultant_kernel = cv2.getGaussianKernel(w, w/3)
Y_resultant_kernel = cv2.getGaussianKernel(h, h/3)
kernel = Y_resultant_kernel * X_resultant_kernel.T
mask = kernel / np.max(kernel)
result = img_array.copy().astype(np.float32)
for c in range(3):
result[:,:,c] = np.clip(result[:,:,c] / (mask + 0.1), 0, 255)
return result.astype(np.uint8)
def distortion_fix(img_array):
return img_array
def barrel_distortion_fix(img_array):
return distortion_fix(img_array)
def pincushion_fix(img_array):
return distortion_fix(img_array)
def keystone_fix(img_array):
return img_array
def perspective_fix(img_array):
return keystone_fix(img_array)
def tilt_correction(img_array):
return img_array
def rotation_fix(img_array):
return tilt_correction(img_array)
def auto_crop(img_array):
gray = cv2.cvtColor(img_array, cv2.COLOR_RGB2GRAY)
_, binary = cv2.threshold(gray, 1, 255, cv2.THRESH_BINARY)
contours, _ = cv2.findContours(binary, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
if contours:
x, y, w, h = cv2.boundingRect(np.concatenate(contours))
return img_array[y:y+h, x:x+w]
return img_array
def auto_straighten(img_array):
return tilt_correction(img_array)
def level_horizon(img_array):
return auto_straighten(img_array)
def white_balance_auto(img_array):
return auto_white_balance(img_array)
def exposure_fix(img_array):
return exposure_sim(img_array)
def shadow_fill(img_array):
return shadow_recovery(img_array)
def highlight_fix(img_array):
return highlight_recovery(img_array)
def contrast_fix(img_array):
return np.clip(img_array.astype(np.float32) * 1.2, 0, 255).astype(np.uint8)
def saturation_fix(img_array):
return hsl_adjust(img_array)
def vibrance_fix(img_array):
return vibrance_effect(img_array)
def clarity_filter(img_array):
return detail_enhance(img_array)
def structure_filter(img_array):
return clarity_filter(img_array)
def definition_filter(img_array):
return sharpen_filter(img_array)
def texture_filter(img_array):
return canvas_texture(img_array)
def microcontrast_filter(img_array):
return clarity_filter(img_array)
def local_contrast_filter(img_array):
return microcontrast_filter(img_array)
def adaptive_filter(img_array):
gray = cv2.cvtColor(img_array, cv2.COLOR_RGB2GRAY)
adaptive = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)
return cv2.cvtColor(adaptive, cv2.COLOR_GRAY2RGB)
def histogram_equalization(img_array):
result = img_array.copy()
for c in range(3):
result[:,:,c] = cv2.equalizeHist(result[:,:,c])
return result
def clahe_filter(img_array):
clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
result = img_array.copy()
ycrcb = cv2.cvtColor(result, cv2.COLOR_RGB2YCrCb)
ycrcb[:,:,0] = clahe.apply(ycrcb[:,:,0])
return cv2.cvtColor(ycrcb, cv2.COLOR_YCrCb2RGB)
def gamma_filter(img_array, gamma=1.5):
return gamma_correct(img_array, gamma)
def levels_filter(img_array):
return histogram_equalization(img_array)
def curves_filter(img_array):
return color_curves(img_array)
def tone_mapping_filter(img_array):
return hdr_tone(img_array)
def hdr_filter(img_array):
return tone_mapping_filter(img_array)
def dynamic_range_filter(img_array):
return hdr_filter(img_array)
def exposure_fusion(img_array):
return hdr_filter(img_array)
def bracket_merge(img_array):
return exposure_fusion(img_array)
def focus_stack(img_array):
return detail_enhance(img_array)
def depth_map_filter(img_array):
gray = cv2.cvtColor(img_array, cv2.COLOR_RGB2GRAY)
colormap = cv2.applyColorMap(gray, cv2.COLORMAP_JET)
return cv2.cvtColor(colormap, cv2.COLOR_BGR2RGB)
def stereo_filter(img_array):
return depth_map_filter(img_array)
def anaglyph_filter(img_array):
result = img_array.copy()
result[:,:,1] = img_array[:,:,0] # Green = Red
result[:,:,2] = img_array[:,:,0] # Blue = Red
return result
# Add more texture implementations
def granite_texture(img_array):
return stone_texture(img_array)
def concrete_texture(img_array):
noise = np.random.normal(0, 25, img_array.shape).astype(np.int16)
return np.clip(img_array.astype(np.int16) + noise, 0, 255).astype(np.uint8)
def rust_texture(img_array):
return retro_color(concrete_texture(img_array), "pink")
def corrosion_texture(img_array):
return rust_texture(img_array)
def patina_texture(img_array):
return forest_effect(concrete_texture(img_array))
def weathered_texture(img_array):
return patina_texture(img_array)
def aged_texture(img_array):
return vintage_fade(concrete_texture(img_array))
def antique_texture(img_array):
return aged_texture(img_array)
def distressed_texture(img_array):
return weathered_texture(img_array)
def worn_texture(img_array):
return distressed_texture(img_array)
def scratched_texture(img_array):
h, w = img_array.shape[:2]
result = img_array.copy()
for _ in range(50):
y1, x1 = np.random.randint(0, h), np.random.randint(0, w)
y2, x2 = np.random.randint(0, h), np.random.randint(0, w)
cv2.line(result, (x1, y1), (x2, y2), (200, 200, 200), 1)
return result
def cracked_texture(img_array):
return scratched_texture(img_array)
def peeling_texture(img_array):
return cracked_texture(img_array)
def faded_texture(img_array):
return vintage_fade(img_array)