def test_gene_to_frames(self):
fdm = FrameDistanceClipMocker()
gfd = GeneticFrameDistance(fdm, 1, 10)
self.assertEqual(gfd.min_f, 30)
self.assertEqual(gfd.max_f, 300)
# frames = 3 000 000
# min_f = 30
# max_f = 300
# fps = 30
#
# n1 = 507 065 614
# n2 = 18 829
#
# m1 = n1 mod frames = 65 614
# m2 = n2 mod (max_f - min_f) = 199
#
# f1 = m1 = 65 614
# f2 = m2 _ min_f = 229
#
# t1 = f1 / fps = 2187.1333
# t2 = (f1 + f2) / fps = 2194.7667
frames = gfd.gene_to_frames(0b000111100011100100110101000011100100100110001101)
self.assertAlmostEqual(frames[0], 2187.1333, delta=1e-04)
self.assertAlmostEqual(frames[1], 2194.7667, delta=1e-04)
print(gfd.gene_to_frames(0))
class GeneticGifFinder(object):
def __init__(self,
clip,
min_d=None,
max_d=None,
threshold=None,
max_gen=None,
popsize=None,
mutation_rate=None,
elites=None):
self.clip = mpy.VideoFileClip(clip).resize(width=20)
self.min_d = 1 if min_d is None else min_d
self.max_d = 5 if max_d is None else max_d
self.threshold = 40 if threshold is None else threshold
self.max_gen = 50 if max_gen is None else max_gen
self.popsize = 20 if popsize is None else popsize
self.mutation_rate = 0.001 if mutation_rate is None else mutation_rate
self.elites = 1 if mutation_rate is None else elites
self.f = GeneticFrameDistance(self.clip, self.min_d, self.max_d)
self.selector = ParentSelector(self.popsize)
self.population = None
def run(self):
logging.info("generating population...")
self.population = GeneticPopulation(self.popsize, self.f)
generations = 0
logging.info("starting...")
# Run first generation without elitism
self.population.next_generation(self.mutation_rate, self.selector)
logging.info("Generation {0}: \n{1}\n".format(generations, self.population.generation))
best_value = self.population.generation.individuals[0].get_y()
generations += 1
while generations < self.max_gen and best_value > self.threshold:
self.population.next_generation(self.mutation_rate, self.selector, self.elites)
logging.info("Generation {0}: \n{1}\n".format(generations, self.population.generation))
best_value = self.population.generation.individuals[0].get_y()
generations += 1
logging.info("Best clips: \n{0}".format(self.population.generation))
logging.info("Everything that happened: \n{0}".format(self.population.generations))
def results_to_gif(self, prefix):
for i in range(10):
self.clip.subclip(
*self.f.gene_to_frames(self.population.generation.individuals[i].x)
).write_gif("{0}_{1}.gif".format(prefix, i))