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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-09-10 12:40:59 +02:00
parent f270269d43
commit 256bf72f8e
2 changed files with 2 additions and 2 deletions
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2
Dockerfile
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@ -2,11 +2,11 @@
FROM nvcr.io/nvidia/pytorch:19.08-py3 FROM nvcr.io/nvidia/pytorch:19.08-py3
# Install dependencies (pip or conda) # Install dependencies (pip or conda)
RUN pip install -U gsutil
# RUN pip install -U -r requirements.txt # RUN pip install -U -r requirements.txt
# RUN conda update -n base -c defaults conda # RUN conda update -n base -c defaults conda
# RUN conda install -y -c anaconda future numpy opencv matplotlib tqdm pillow # RUN conda install -y -c anaconda future numpy opencv matplotlib tqdm pillow
# RUN conda install -y -c conda-forge scikit-image tensorboard pycocotools # RUN conda install -y -c conda-forge scikit-image tensorboard pycocotools
# conda install pytorch torchvision -c pytorch
# Install OpenCV with Gstreamer support # Install OpenCV with Gstreamer support
#WORKDIR /usr/src #WORKDIR /usr/src

2
utils/utils.py
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@ -684,7 +684,7 @@ def print_mutation(hyp, results, bucket=''):
with open('evolve.txt', 'a') as f: # append result with open('evolve.txt', 'a') as f: # append result
f.write(c + b + '\n') f.write(c + b + '\n')
x = np.unique(np.loadtxt('evolve.txt', ndmin=2), axis=0) # load unique rows x = np.unique(np.loadtxt('evolve.txt', ndmin=2), axis=0) # load unique rows
np.savetxt('evolve.txt', x[np.argsort(-fitness(x))], '%10.3g') # save sort by fitness np.savetxt('evolve.txt', x[np.argsort(-fitness(x))], '%10.5g') # save sort by fitness
if bucket: if bucket:
os.system('gsutil cp evolve.txt gs://%s' % bucket) # upload evolve.txt os.system('gsutil cp evolve.txt gs://%s' % bucket) # upload evolve.txt