updates
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@ -613,8 +613,7 @@ def select_best_evolve(path='evolve*.txt'): # from utils.utils import *; select
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# Find best evolved mutation
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for file in sorted(glob.glob(path)):
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x = np.loadtxt(file, dtype=np.float32, ndmin=2)
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fitness = x[:, 2] * 0.5 + x[:, 3] * 0.5 # weighted mAP and F1 combination
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print(file, x[fitness.argmax()])
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print(file, x[fitness(x).argmax()])
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def coco_single_class_labels(path='../coco/labels/train2014/', label_class=43):
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@ -693,7 +692,7 @@ def print_mutation(hyp, results, bucket=''):
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def fitness(x):
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# Returns fitness (for use with results.txt or evolve.txt)
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return 0.50 * x[:, 2] + 0.50 * x[:, 3] # fitness = 0.5 * mAP + 0.5 * F1
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return x[:, 2] * 0.5 + x[:, 3] * 0.5 # weighted mAP and F1 combination
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# Plotting functions ---------------------------------------------------------------------------------------------------
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