From bf94fead2823989a77795f07cea534d49c210edc Mon Sep 17 00:00:00 2001 From: Thijs Masmeijer Date: Sun, 15 Oct 2023 13:33:47 -0700 Subject: [PATCH 1/3] paap --- stringart/__main__.py | 22 ++++++++++++---------- stringart/stringart.py | 3 ++- 2 files changed, 14 insertions(+), 11 deletions(-) diff --git a/stringart/__main__.py b/stringart/__main__.py index d248240..66db426 100644 --- a/stringart/__main__.py +++ b/stringart/__main__.py @@ -1,23 +1,25 @@ import cProfile import pstats - import matplotlib.pyplot as plt - from stringart import StringArtGenerator +import numpy as np if __name__ == '__main__': - + file_name = 'me_and_guus-01' profiler = cProfile.Profile() profiler.enable() generator = StringArtGenerator() - generator.load_image("demo/input/Sample_ML.jpg") + generator.load_image(f"stringart/demo/input/{file_name}.jpg") generator.preprocess() - generator.set_nails(180) # 288 + generator.set_nails(800) # 288 generator.set_seed(42) - generator.set_iterations(4000) + generator.set_iterations(2000) pattern = generator.generate() + pattern_array = np.array(pattern) + np.savetxt('pattern.csv', pattern_array, delimiter=',') + lines_x = [] lines_y = [] for i, j in zip(pattern, pattern[1:]): @@ -29,7 +31,7 @@ xmax = generator.data.shape[0] ymax = generator.data.shape[1] - plt.ion() + # plt.ion() plt.figure(figsize=(8, 8)) plt.axis('off') axes = plt.gca() @@ -44,10 +46,10 @@ for i in range(0, len(lines_x), batchsize): plt.plot(lines_x[i:i+batchsize], lines_y[i:i+batchsize], linewidth=0.1, color='k') - plt.draw() - plt.pause(0.000001) + plt.draw() + # plt.pause(0.000001) - plt.savefig('demo/result_ml.png', bbox_inches='tight', pad_inches=0) + plt.savefig(f'stringart/demo/result_{file_name}.png', bbox_inches='tight', pad_inches=0) profiler.disable() stats = pstats.Stats(profiler).sort_stats('cumtime') diff --git a/stringart/stringart.py b/stringart/stringart.py index bb22fd3..2e141ff 100644 --- a/stringart/stringart.py +++ b/stringart/stringart.py @@ -9,6 +9,7 @@ import math import copy import numpy as np +from tqdm import tqdm from PIL import Image, ImageOps, ImageFilter, ImageEnhance @@ -154,7 +155,7 @@ def choose_darkest_path(self, nail): return darkest_nail, darkest_path def calculate_paths(self): - for nail, anode in enumerate(self.nodes): + for nail, anode in tqdm(enumerate(self.nodes), total=len(self.nodes), desc='Generating pattern'): self.paths.append([]) for node in self.nodes: path = self.bresenham_path(anode, node) From 06819191fbc8dfea5c12d0070dcb276840bb2979 Mon Sep 17 00:00:00 2001 From: Thijs Masmeijer Date: Tue, 17 Oct 2023 19:41:21 -0700 Subject: [PATCH 2/3] reorder some code This way we don't have to store all the possible paths in memory. Really improves computation time when increasing the number of nails --- sphere-01-100_4553_1000_40.csv | 1000 +++++++++++++++++ ..._sphere-01-100_1517_1000_40_1697571388.png | Bin 0 -> 670274 bytes ..._sphere-01-100_1517_1500_40_1697571893.png | Bin 0 -> 730082 bytes ..._sphere-01-100_1517_2000_40_1697573158.png | Bin 0 -> 730082 bytes ..._sphere-01-150_1517_1000_40_1697574878.png | Bin 0 -> 651788 bytes ..._sphere-01-150_1517_1500_40_1697576489.png | Bin 0 -> 715337 bytes ..._sphere-01-100_4553_1000_40_1697596672.png | Bin 0 -> 671195 bytes stringart/stringart.py | 57 +- 8 files changed, 1039 insertions(+), 18 deletions(-) create mode 100644 sphere-01-100_4553_1000_40.csv create mode 100644 stringart/demo/1517 nails/result_sphere-01-100_1517_1000_40_1697571388.png create mode 100644 stringart/demo/1517 nails/result_sphere-01-100_1517_1500_40_1697571893.png create mode 100644 stringart/demo/1517 nails/result_sphere-01-100_1517_2000_40_1697573158.png create mode 100644 stringart/demo/1517 nails/result_sphere-01-150_1517_1000_40_1697574878.png create mode 100644 stringart/demo/1517 nails/result_sphere-01-150_1517_1500_40_1697576489.png create mode 100644 stringart/demo/4553 nails/result_sphere-01-100_4553_1000_40_1697596672.png diff --git a/sphere-01-100_4553_1000_40.csv b/sphere-01-100_4553_1000_40.csv new file mode 100644 index 0000000..1d20efd --- /dev/null +++ b/sphere-01-100_4553_1000_40.csv @@ -0,0 +1,1000 @@ +6.428192411198097034e+00,2.547455232937786462e+01 +9.050350931262958909e+01,2.068335398853190554e+01 +6.949614611866222447e+01,9.604237490095152907e+01 +8.054630088110128838e+01,1.041561542121400663e+01 +7.274715891296251868e+01,9.452602341764229266e+01 +5.153501983851973023e+01,2.356841374776053044e-02 +6.555580936593825925e+01,9.751859420238132259e+01 +6.450288465842473329e+01,2.149541939659258105e+00 +8.060089862178527653e+01,8.954219270019331134e+01 +8.351118990469615255e+01,1.289204733252734769e+01 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