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manli
FCN-CD-PyTorch
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d4dc0f55
Commit
d4dc0f55
authored
4 years ago
by
Bobholamovic
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@@ -20,7 +20,7 @@ as the [official repo](https://github.com/rcdaudt/fully_convolutional_change_det
Tested on Python 3.7.4, Ubuntu 16.04 and Python 3.6.8, Windows 10.
# Basic
U
sage
# Basic
u
sage
```
bash
# The network definition scripts are from the original repo
...
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@@ -46,7 +46,7 @@ python train.py val --exp-config ../config_base.yaml --resume path_to_checkpoint
You can find the checkpoints in
`exp/base/weights/`
, the log files in
`exp/base/logs`
, and the output change maps in
`exp/base/outs`
.
# Train on Air Change
D
ataset and OSCD
D
ataset
# Train on Air Change
d
ataset and OSCD
d
ataset
To carry out a full training on these two datasets and with all three architectures, run the
`train9.sh`
script under the root folder of this repo.
```
bash
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@@ -102,5 +102,5 @@ Now the experiment results are organized in a more structured way, and I think i
---
# Changed
2020.
3.14 Add the configuration files of my experiments.
2020.
4.14 Detail README.md.
-
2020.3.14 Add the configuration files of my experiments.
-
2020.4.14 Detail README.md.
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