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Comments (4)

ArchiZX avatar ArchiZX commented on September 16, 2024

Actually, they are the same...

from moc-detector.

irvingzhang0512 avatar irvingzhang0512 commented on September 16, 2024

Sorry, I didn't catch you... Please correct me if I made some mistakes.

Images are resized from original_h, original_w to input_w, input_h.
If the tube gt bboxes are resized to the same ratio, then they should modified by the following code

gt_bbox[ilabel][itube][:, 0] = gt_bbox[ilabel][itube][:, 0] / original_w * input_w
gt_bbox[ilabel][itube][:, 1] = gt_bbox[ilabel][itube][:, 1] / original_h * input_h
gt_bbox[ilabel][itube][:, 2] = gt_bbox[ilabel][itube][:, 2] / original_w * input_w
gt_bbox[ilabel][itube][:, 3] = gt_bbox[ilabel][itube][:, 3] / original_h * input_h

However, in the Sampler code, the gt tube bboxes are modified

gt_bbox[ilabel][itube][:, 0] = gt_bbox[ilabel][itube][:, 0] / original_w * output_w
gt_bbox[ilabel][itube][:, 1] = gt_bbox[ilabel][itube][:, 1] / original_h * output_h
gt_bbox[ilabel][itube][:, 2] = gt_bbox[ilabel][itube][:, 2] / original_w * output_w
gt_bbox[ilabel][itube][:, 3] = gt_bbox[ilabel][itube][:, 3] / original_h * output_h

# aka
gt_bbox[ilabel][itube][:, 0] = gt_bbox[ilabel][itube][:, 0] / original_w * input_w // self.opt.down_ratio
gt_bbox[ilabel][itube][:, 1] = gt_bbox[ilabel][itube][:, 1] / original_h * input_h // self.opt.down_ratio
gt_bbox[ilabel][itube][:, 2] = gt_bbox[ilabel][itube][:, 2] / original_w * input_w // self.opt.down_ratio
gt_bbox[ilabel][itube][:, 3] = gt_bbox[ilabel][itube][:, 3] / original_h * input_h // self.opt.down_ratio

from moc-detector.

yixuanli98 avatar yixuanli98 commented on September 16, 2024

We calculate the loss on the final feature map whose shape is (output_h, output_w ). So we resize gt tubes into this shape. After inputing the raw images into the network, they will have the same resize ratios with gt tubes. In the inference process, we will resize the prediction tubes to the original shape(original_h, original_w) in normal_moc_det.

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irvingzhang0512 avatar irvingzhang0512 commented on September 16, 2024

Thanks for your reply, Got it now

from moc-detector.

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