updates
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28
train.py
28
train.py
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@ -360,17 +360,17 @@ if __name__ == '__main__':
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else:
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hyp = old_hyp.copy() # reset hyp to
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# Plot results
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import numpy as np
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import matplotlib.pyplot as plt
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a = np.loadtxt('evolve_1000val.txt')
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x = a[:, 2] * a[:, 3] # metric = mAP * F1
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weights = (x - x.min()) ** 2
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fig = plt.figure(figsize=(14, 7))
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for i in range(len(hyp)):
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y = a[:, i + 5]
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mu = (y * weights).sum() / weights.sum()
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plt.subplot(2, 5, i+1)
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plt.plot(x.max(), mu, 'o')
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plt.plot(x, y, '.')
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print(list(hyp.keys())[i],'%.4g' % mu)
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# # Plot results
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# import numpy as np
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# import matplotlib.pyplot as plt
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# a = np.loadtxt('evolve_1000val.txt')
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# x = a[:, 2] * a[:, 3] # metric = mAP * F1
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# weights = (x - x.min()) ** 2
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# fig = plt.figure(figsize=(14, 7))
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# for i in range(len(hyp)):
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# y = a[:, i + 5]
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# mu = (y * weights).sum() / weights.sum()
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# plt.subplot(2, 5, i+1)
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# plt.plot(x.max(), mu, 'o')
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# plt.plot(x, y, '.')
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# print(list(hyp.keys())[i],'%.4g' % mu)
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10
utils/gcp.sh
10
utils/gcp.sh
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@ -45,10 +45,10 @@ wget https://storage.googleapis.com/ultralytics/yolov3/best_v1_0.pt -O weights/b
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# Reproduce tutorials
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rm results*.txt # WARNING: removes existing results
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python3 train.py --nosave --data data/coco_1img.data && mv results.txt results3_1img.txt
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python3 train.py --nosave --data data/coco_10img.data && mv results.txt results3_10img.txt
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python3 train.py --nosave --data data/coco_100img.data && mv results.txt results4_100img.txt
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python3 train.py --nosave --data data/coco_100img.data --transfer && mv results.txt results3_100imgTL.txt
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python3 train.py --nosave --data data/coco_1img.data && mv results.txt results0r_1img.txt
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python3 train.py --nosave --data data/coco_10img.data && mv results.txt results0r_10img.txt
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python3 train.py --nosave --data data/coco_100img.data && mv results.txt results0r_100img.txt
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#python3 train.py --nosave --data data/coco_100img.data --transfer && mv results.txt results3_100imgTL.txt
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python3 -c "from utils import utils; utils.plot_results()"
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gsutil cp results*.txt gs://ultralytics
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gsutil cp results.png gs://ultralytics
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@ -75,7 +75,7 @@ git clone https://github.com/ultralytics/yolov3 # master
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# git clone -b test --depth 1 https://github.com/ultralytics/yolov3 yolov3_test # branch
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cp -r cocoapi/PythonAPI/pycocotools yolov3
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cp -r weights yolov3 && cd yolov3
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python3 train.py --evolve --data data/coco_100img.data --num-workers 2 --epochs 30
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python3 train.py --evolve --data data/coco_1k5k.data --epochs 30 --img-size 320
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gsutil cp evolve.txt gs://ultralytics
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sudo shutdown
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