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fix document git
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Signed-off-by: ramlabserver <[email protected]>
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Owen-Liuyuxuan committed Oct 1, 2023
1 parent 5cc9abc commit a8fd7d2
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3 changes: 0 additions & 3 deletions configs/segmentation_example
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Expand Up @@ -9,8 +9,6 @@ def build_path():
path = edict()
path.kitti360_path = "/data/KITTI-360"
path.train_split_file = "/data/KITTI-360/data_2d_semantics/train/2013_05_28_drive_train_frames.txt"
# path.train_split_file = "/data/KITTI-360/data_2d_semantics/train/overfit.txt"
# path.val_split_file = "/data/KITTI-360/data_2d_semantics/train/overfit.txt"
path.val_split_file = "/data/KITTI-360/data_2d_semantics/train/2013_05_28_drive_val_frames.txt"
path.base_path = "/home/yliuhb/vision_collection/src/learning/FSNet"
path.project_path = "/home/yliuhb/vision_collection/src/learning/FSNet/workdirs"
Expand Down Expand Up @@ -122,7 +120,6 @@ train_dataset.augmentation = edict(
name=f'{builder_lib}.Sequential',
cfg_list = [
edict(name=f'{augmentation_lib}.ConvertToFloat'),
# edict(name='lib.data.augmentations.augmentations.RandomWarpAffine', output_w=data.augmentation.cropSize[1], output_h=data.augmentation.cropSize[0]),
edict(name=f'{augmentation_lib}.Resize', size=data.augmentation.cropSize,preserve_aspect_ratio=False # this should rewrite the keywords outside
),
edict(name=f'{builder_lib}.Shuffle',
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8 changes: 4 additions & 4 deletions readme.md
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Expand Up @@ -29,7 +29,7 @@ This operation will build the dcn module inplace and does not install anything.

## General Usage

Start **Everything** in the base directory of this repo.
Start **Everything** in the base directory of this repo. Please check out each tasks([mono3d]/[segmentation]/[monodepth]) for dataset preparation.

Training:

Expand All @@ -48,7 +48,7 @@ python3 scripts/test.py $CONFIG_PATH $SINGLE_GPU $CHECKPOINT

## Check the Logging

By default, the train scripts and vision_base will create a detailed tensorflow report besides the logging from specific packages. The logging will be in ```./workdirs/\$NAME_IN_CONFIG/log/\$\{EXPERIMENT_LOGGING_NAME\}config=$CONFIG_NAME```, we suggest tensorboard open in ```workdirs/\$NAME_IN_CONFIG/log/``` or ```./workdirs/```.
By default, the train scripts and vision_base will create a detailed tensorflow report besides the logging from specific packages. The logging will be in ```./workdirs/\$NAME_IN_CONFIG/log/${EXPERIMENT_LOGGING_NAME}config=${CONFIG_NAME}```, we suggest tensorboard open in ```workdirs/$NAME_IN_CONFIG/log/``` or ```./workdirs/```.

The tensorboard report will include the **full expanded** config file

Expand All @@ -66,9 +66,9 @@ In general, we recommend not making breaking change in vision_base (adding more

If we are starting a new project with new data settings / new models / new strategies, it is recommended to start a new folder and overwrite existing classes, and write config files pointing to new modules. This is achieved by [builder](./vision_base/utils/builder.py) and [find_object](./vision_base/utils/utils.py).

Check the [segmenatation](./segmentation/) for how to start a simple new project.
Check the codes in [segmenatation](./segmentation/) for how to start a simple new project.

Check the [mono3d](./mono3d/) for how to overwrite data pipeline for complex tasks.
Check the codes in [mono3d](./mono3d/) for how to overwrite data pipeline for complex tasks.

## Further Info and Bug Issues

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