Extract building and road from aerial imagery
- OpenCV 2.4.10
- Boost 1.57.0
- Boost.NumPy
- Caffe (modified caffe: https://github.com/mitmul/caffe)
- NOTE: Build the
ssaibranch of the above repository
- NOTE: Build the
$ bash shells/donwload.sh
$ python scripts/create_dataset.py --dataset multi
$ python scripts/create_dataset.py --dataset single
$ python scripts/create_dataset.py --dataset roads_mini
$ python scripts/create_dataset.py --dataset roads
$ python scripts/create_dataset.py --dataset buildings
$ python scripts/create_dataset.py --dataset merged
-
mass_roads
-
train: 8458173 patches
- epoch: 66079 mini-batches (mini-batch size: 128)
-
valid: 126281 patches
- epoch: 987 mini-batches (mini-batch size: 128)
-
test: 440932 patches
- epoch: 3445 mini-batches (mini-batch size: 128)
-
-
mass_roads_mini, mass_buildings, mass_merged
-
train: 1119872 patches
- epoch: 8749 mini-batches (mini-batch size: 128)
-
valid: 36100 patches
- epoch: 282 mini-batches (mini-batch size: 128)
-
test: 89968 patches
- epoch: 703 mini-batches (mini-batch size: 128)
-
$ python scripts/create_models.py --seed seeds/model_seeds.json
$ bash shells/train.sh models/Mnih_CNN
will create a directory named results/Mnih_CNN_{started date}.
$ cd results/Mnih_CNN_{started date}
$ python ../../scripts/test_prediction.py --model predict.prototxt --weight snapshots/Mnih_CNN_iter_1000000.caffemodel --img_dir ../../data/mass_merged/test/sat --channel 3
$ cd lib
$ mkdir build
$ cd build
$ cmake ../
$ make
$ cd results/Mnih_CNN_{started date}
$ python ../../scripts/test_evaluation.py --map_dir ../../data/mass_merged/test/map --result_dir prediction_1000000 --channel 3
$ python ../scripts/batch_evaluation.py --offset True
$ mkdir Mnih_CNN_Merged
$ cd Mnih_CNN_Merged
$ python ../../scripts/test_evaluation.py --map_dir ../../data/mass_merged/test/map --result_dir ./prediction_100000 --channel 3 --offset 0 --pad 31
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent