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Note that evaluation on custum images is only applicable for SGDet model, because PredCls and SGCls model requires additional ground-truth bounding boxes information. To detect scene graphs into a json file on your own images, you need to turn on the switch TEST.CUSTUM_EVAL and give a folder path (or a json file containing a list of image paths) that contains the custom images to TEST.CUSTUM_PATH. Only JPG files are allowed. The output will be saved as custom_prediction.json in the given DETECTED_SGG_DIR.
Thank you for your wonderful work for Scene Graph Generation tasks.
I would like to use your code as a baseline for my research.
In addition, could you provide PredCls and SGCls codes for custom images inference?
Thank you.
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