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docs/en/dataset_prepare.md

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│ │ ├── val_set
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│ │ │ ├── images
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│ │ │ ├── annotations
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│ | ├── train_list.txt
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│ │ ├── val_list.txt
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│ | |
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```
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docs/en/inference.md

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## Inference with pretrained models
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The testing script 'arch_segmentation.py' is in folder demo. We can run the following commands to obtain the arch boundary in a color image.
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The testing script 'arch_segmentation.py' is in the folder demo. We can run the following commands to obtain the arch boundary in a color image.
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```shell
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python demo/arch_segmentation.py ${CONFIG_FILE} ${CHECKPOINT_FILE} --img-path ${INPUT_DIR} --show-dir ${OUTPUT_DIR}
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```shell
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python demo/arch_segmentation.py C:/Users/zliu/Projects/configs/mmseg_configs/models/point_rend_r101_512x512_160k_feetarch5k.py \
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C:/Users/zliu/Projects/models/mmseg/arch_pointrend/iter_2000.pth \
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--img-path C:/Users/zliu/Projects/foot_imgs/val_set/images
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--show-dir C:/Users/zliu/Projects/foot_imgs/show
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--palette feetarch
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--opacity 0.4
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--img-path C:/Users/zliu/Projects/foot_imgs/val_set/images \
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--show-dir C:/Users/zliu/Projects/foot_imgs/show \
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--palette feetarch \
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--opacity 0.4
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```
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Some segmentation results are shown below:
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![arch1](../../resources/feet_imgs/Ted_scan4_right_front_arch.png)
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![arch2](../../resources/feet_imgs/Tony_R_scan2_right_back_arch.png)
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![arch3](../../resources/feet_imgs/Wendy_scan4_right_front_arch.png)
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![arch3](../../resources/feet_imgs/Whitney_scan3_left_back_arch.png)
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![arch3](../../resources/feet_imgs/Yanina_scan2_left_back_arch.png)
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A pickle file 'output.pkl' is generated in the folder ${OUTPUT_DIR}, which contains the list of numpy 2d array, each encoding the arch boundary.

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