A Faster Pytorch Implementation for Caltech Pedestrian dataset

This implement is based on jwyang/faster-rcnn.pytorch. I make some changes to adapt the pedestrian detection. The Pytorch version is 4.0.

References

cd lib
sh make.sh

sh train_single_gpu.sh 0

sh train_mgpus.sh

sh predict.sh

sh caltech_dataset_detect.sh

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
cfgs		cfgs
lib		lib
.gitignore		.gitignore
I00088.jpg		I00088.jpg
README.md		README.md
_init_paths.py		_init_paths.py
caltech_dataset_detect.sh		caltech_dataset_detect.sh
caltech_dataset_detection.py		caltech_dataset_detection.py
predict.py		predict.py
predict.sh		predict.sh
result.png		result.png
test.sh		test.sh
test_net.py		test_net.py
train.sh		train.sh
train_mgpus.sh		train_mgpus.sh
train_single_gpu.sh		train_single_gpu.sh
trainval_net.py		trainval_net.py