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2 changes: 2 additions & 0 deletions .gitignore
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*/*/images
*/*/labels
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10 changes: 7 additions & 3 deletions docker/Dockerfile
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Expand Up @@ -61,16 +61,20 @@ RUN cd / \
&& cd darknet \
&& sed -i 's/GPU=0/GPU=1/g' Makefile \
&& sed -i 's/OPENCV=0/OPENCV=1/g' Makefile \
&& make
&& make \
# convolutional weights that are pre-trained on Imagenet or training
&& wget https://pjreddie.com/media/files/darknet53.conv.74

###Download YOLO v3 tiny weights
### Download YOLO v3 tiny weights
RUN cd / \
&& mkdir weights && cd /weights \
&& wget https://pjreddie.com/media/files/yolov3-tiny.weights
&& wget https://pjreddie.com/media/files/yolov3-tiny.weights

#RUN export PATH=$PATH:/darknet/darknet
RUN apt-get install -qqy x11-apps

### Download
RUN cd /darknet \


WORKDIR /darknet
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Expand Up @@ -21,7 +21,3 @@ Dockerfile to build a docker image contain Darknet, OPENCV, and CUDA. Both Darkn

<pre>xhost +"local:docker@"
sudo nvidia-docker run -it --entrypoint "/bin/bash" --env DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix yolo3-opencv-cuda</pre>




4 changes: 4 additions & 0 deletions docker/start_container.sh
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#!/bin/bash

xhost +"local:docker@"
sudo nvidia-docker run -it --entrypoint "/bin/bash" --env DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix yolo3-opencv-cuda
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