updates
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@ -957,13 +957,18 @@ def plot_results_overlay(start=0, stop=0): # from utils.utils import *; plot_re
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fig.savefig(f.replace('.txt', '.png'), dpi=200)
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def plot_results(start=0, stop=0): # from utils.utils import *; plot_results()
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def plot_results(start=0, stop=0, bucket='', id=()): # from utils.utils import *; plot_results()
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# Plot training results files 'results*.txt'
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fig, ax = plt.subplots(2, 5, figsize=(14, 7))
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ax = ax.ravel()
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s = ['GIoU', 'Objectness', 'Classification', 'Precision', 'Recall',
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'val GIoU', 'val Objectness', 'val Classification', 'mAP@0.5', 'F1']
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for f in sorted(glob.glob('results*.txt') + glob.glob('../../Downloads/results*.txt')):
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if bucket:
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files = ['https://storage.googleapis.com/%s/results%g.txt' % (bucket, x) for x in id]
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else:
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files = glob.glob('results*.txt') + glob.glob('../../Downloads/results*.txt')
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for f in sorted(files):
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results = np.loadtxt(f, usecols=[2, 3, 4, 8, 9, 12, 13, 14, 10, 11], ndmin=2).T
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n = results.shape[1] # number of rows
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x = range(start, min(stop, n) if stop else n)
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