ubuntu 14, faster R-CNN (Caffe), You can train your data with 3-steps instruction
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nvidia-docker run -i -t --name 'faster-rcnn' 7bb1191c5d4d /bin/bash
locate the test images in /workspace/py-faster-rcnn/data/demo folder
Run /workspace/py-faster-rcnn/tools/demo.py
results will be saved in /workspace/py-faster-rcnn/tools/demo_results/
Content type
Image
Digest
Size
9.1 GB
Last updated
about 9 years ago
docker pull adioshun/faster_rccn_own_data