mirror of https://github.com/open-mmlab/mmyolo.git
43 lines
2.3 KiB
Markdown
43 lines
2.3 KiB
Markdown
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# Visualize Datasets
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`tools/analysis_tools/browse_dataset.py` helps the user to browse a detection dataset (both images and bounding box annotations) visually, or save the image to a designated directory.
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```shell
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python tools/analysis_tools/browse_dataset.py ${CONFIG} \
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[--out-dir ${OUT_DIR}] \
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[--not-show] \
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[--show-interval ${SHOW_INTERVAL}]
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```
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E,g：
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1. Use `config` file `configs/yolov5/yolov5_s-v61_syncbn_8xb16-300e_coco.py` to visualize the picture. The picture will pop up directly and be saved to the directory `work_dirs/browse_ dataset` at the same time:
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```shell
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python tools/analysis_tools/browse_dataset.py 'configs/yolov5/yolov5_s-v61_syncbn_8xb16-300e_coco.py' \
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--out-dir 'work_dirs/browse_dataset'
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```
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2. Use `config` file `configs/yolov5/yolov5_s-v61_syncbn_8xb16-300e_coco.py` to visualize the picture. The picture will pop up and display directly. Each picture lasts for `10` seconds. At the same time, it will be saved to the directory `work_dirs/browse_ dataset`:
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```shell
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python tools/analysis_tools/browse_dataset.py 'configs/yolov5/yolov5_s-v61_syncbn_8xb16-300e_coco.py' \
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--out-dir 'work_dirs/browse_dataset' \
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--show-interval 10
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```
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3. Use `config` file `configs/yolov5/yolov5_s-v61_syncbn_8xb16-300e_coco.py` to visualize the picture. The picture will pop up and display directly. Each picture lasts for `10` seconds and the picture will not be saved:
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```shell
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python tools/analysis_tools/browse_dataset.py 'configs/yolov5/yolov5_s-v61_syncbn_8xb16-300e_coco.py' \
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--show-interval 10
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```
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4. Use `config` file `configs/yolov5/yolov5_s-v61_syncbn_8xb16-300e_coco.py` to visualize the picture. The picture will not pop up directly, but only saved to the directory `work_dirs/browse_ dataset`:
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```shell
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python tools/analysis_tools/browse_dataset.py 'configs/yolov5/yolov5_s-v61_syncbn_8xb16-300e_coco.py' \
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--out-dir 'work_dirs/browse_dataset' \
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--not-show
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```
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